CN116230179A - Medical service resource management method, device, processing equipment and storage medium - Google Patents
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Abstract
The invention provides a medical service resource management method, a medical service resource management device, processing equipment and a storage medium, and relates to the technical field of medical information processing. Comprising the following steps: acquiring medical resource data of a plurality of clinical path nodes in a historical time period; according to the use records of each clinical path node, the medical resource data of each clinical path node are counted to obtain consumption records of multiple types of medical resources in a historical time period for each medical object; determining a consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the plurality of types of medical resources; and if the consumption record of the target medical resource of the target clinical path node is not in the consumption reference range of the target medical resource, generating alarm information. And the statistics is carried out according to the real data, the consumption records of the multiple medical resources obtained through the statistics are more real, reliable and accurate, and the alarm information can be monitored and generated, so that the abnormal use reminding of the medical service resources is realized, and the user can conveniently adjust the medical service resources.
Description
Technical Field
The present invention relates to the technical field of medical information processing, and in particular, to a medical service resource management method, a device, a processing apparatus, and a storage medium.
Background
Under the reform of the medical health system, the operation management of hospitals goes to industry and financial integration, and focuses on strengthening medical budget management, flow optimization and cost control in aspects of service quality improvement, resource allocation, use, evaluation and the like. Therefore, the fine management of medical resources has also become a hot spot for research.
In the related art, the outpatient service quantity and the operation quantity are counted, and according to medical quality indexes such as the outpatient service quantity and the operation quantity, the consumption of medical resources such as departments, whole hospital personnel, equipment, medicine consumables and the like is estimated, so that a reference basis is provided for medical resource allocation.
However, in the related art, the medical resource consumption is estimated based on the clinic volume and the operation volume, and there is a problem that the estimation is inaccurate.
Disclosure of Invention
The present invention is directed to a medical service resource management method, apparatus, processing device and storage medium, which solve the above-mentioned problems of the related art.
In order to achieve the above purpose, the technical scheme adopted by the embodiment of the invention is as follows:
in a first aspect, an embodiment of the present invention provides a medical service resource management method, including:
acquiring medical resource data for a plurality of clinical path nodes over a historical time period, the medical resource data for each clinical path node comprising: a record of usage of a plurality of types of medical resources of at least one medical subject;
according to the usage records of each clinical path node, the medical resource data of each clinical path node are counted to obtain consumption records of the multiple types of medical resources for each medical object in the historical time period;
determining a consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the multiple types of medical resources;
if the consumption record of the target medical resource of the target clinical path node is not in the consumption reference range of the target medical resource, generating alarm information;
the target clinical path node is any node in each clinical path node, and the target medical resource is any medical resource of multiple types of medical resources under the target clinical path node.
Optionally, the usage records of the multiple medical resources include: human resources usage records and medical facility equipment usage records; the step of counting the medical resource data of each clinical path node according to the usage record of each clinical path node to obtain the consumption record of the multiple types of medical resources for each medical object in the historical time period, comprising the following steps:
counting the human resource usage data of each clinical path node according to the human resource usage record of each clinical path node to obtain the consumption duration of each type of human resource of each clinical path node and the accumulated consumption duration of each type of human resource of each medical object in the historical time period;
and counting the medical facility equipment use data of each clinical path node according to the medical facility equipment use record of each clinical path node to obtain the use duration of each medical facility equipment of each clinical path node and the accumulated use duration of each medical facility equipment of each medical object in the historical time period.
Optionally, the usage records of the multiple medical resources include: drug consumable usage records and medical cost records; the step of counting the medical resource data of each clinical path node according to the usage record of each clinical path node to obtain the consumption record of the multiple types of medical resources for each medical object in the historical time period, comprising the following steps:
according to the usage records of the medicine consumables of each clinical path node, counting the usage data of the medicine consumables of each clinical path node to obtain the usage amount of each medicine consumable of each clinical path node and the accumulated usage amount of each medicine consumable in the historical time period of each medical object;
and counting the medical cost data of each clinical path node according to the medical cost record of each clinical path node to obtain each medical cost of each clinical path node and the total cost of each medical cost in the historical time period of each medical object.
Optionally, the determining the consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the multiple types of medical resources includes:
Screening consumption records of multiple types of medical resources of a medical object with good prognosis from the consumption records of the multiple types of medical resources of the at least one medical object;
and determining the consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the medical resources of the plurality of types of medical resources of the medical subjects with good prognosis.
Optionally, in selecting a consumption record of a plurality of medical resources for a medical subject with a good prognosis from the consumption records of the plurality of medical resources for the at least one medical subject, the method further comprises:
acquiring medical quality index data of the at least one medical object, medical object follow-up data and medical expense records in the multi-class medical resource;
according to the medical expense record, determining a medical object which is discharged in the same period in the same disease group from at least one medical object, and has the medical total expense of the hospitalization period less than or equal to the preset expense of the disease group, as a first target medical object;
determining a prognosis-good medical object from the first target medical object according to the medical quality index data and the medical object follow-up data;
screening consumption records of the multi-class medical resource of the medical object with good prognosis from the consumption records of the multi-class medical resource of the first target medical object.
Optionally, after the statistics is performed on the medical resource data of each clinical path node according to the usage record of each clinical path node to obtain a consumption record of the multiple types of medical resources for each medical object in the historical time period, the method further includes:
determining medical objects in the same disease group according to the basic information of the at least one medical object;
determining the first consumption map according to the consumption records of the multiple types of medical resources of the clinical path node in the medical objects in the same disease group and the consumption reference range of the multiple types of medical resources of the first clinical path node;
the first consumption map is shown in a resource consumption interface.
Optionally, after the statistics is performed on the medical resource data of each clinical path node according to the usage record of each clinical path node to obtain a consumption record of the multiple types of medical resources for each medical object in the historical time period, the method further includes:
determining the second consumption map according to the consumption record of the target medical resource of the second target medical object in the second clinical path node and the consumption reference range of the target medical resource of the second clinical path node in the consumption records of the multiple types of medical resources;
The second consumption map is shown in a resource consumption interface.
In a second aspect, an embodiment of the present invention further provides a medical service resource management device, including:
an acquisition module for acquiring medical resource data of a plurality of clinical path nodes within a historical time period, the medical resource data of each clinical path node comprising: a record of usage of a plurality of types of medical resources of at least one medical subject;
the statistics module is used for counting the medical resource data of each clinical path node according to the use record of each clinical path node to obtain the consumption record of the multiple types of medical resources for each medical object in the historical time period;
the determining module is used for determining the consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the multiple types of medical resources;
the generation module is used for generating alarm information if the consumption record of the target medical resource of the target clinical path node is not in the consumption reference range of the target medical resource;
the target clinical path node is any node in each clinical path node, and the target medical resource is any medical resource of multiple types of medical resources under the target clinical path node.
Optionally, the usage records of the multiple medical resources include: human resources usage records and medical facility equipment usage records; the statistics module is specifically configured to perform statistics on human resource usage data of each clinical path node according to the human resource usage record of each clinical path node, so as to obtain a consumption duration of each human resource of each clinical path node and an accumulated consumption duration of each human resource of each clinical path node in the historical time period; and counting the medical facility equipment use data of each clinical path node according to the medical facility equipment use record of each clinical path node to obtain the use duration of each medical facility equipment of each clinical path node and the accumulated use duration of each medical facility equipment of each medical object in the historical time period.
Optionally, the usage records of the multiple medical resources include: drug consumable usage records and medical cost records; the statistics module is specifically configured to perform statistics on usage data of the medicine consumables of each clinical path node according to the usage record of the medicine consumables of each clinical path node, so as to obtain usage amounts of various medicine consumables of each clinical path node and accumulated usage amounts of the various medicines of each medical object in the historical time period; and counting the medical cost data of each clinical path node according to the medical cost record of each clinical path node to obtain each medical cost of each clinical path node and the total cost of each medical cost in the historical time period of each medical object.
Optionally, the determining module is specifically configured to screen consumption records of multiple types of medical resources of a medical object with good prognosis from consumption records of the multiple types of medical resources of the at least one medical object; and determining the consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the medical resources of the plurality of types of medical resources of the medical subjects with good prognosis.
Optionally, the determining module is specifically configured to obtain medical quality index data of the at least one medical object, follow-up data of the medical object, and medical fee records in the multiple types of medical resources; according to the medical expense record, determining a medical object which is discharged in the same period in the same disease group from at least one medical object, and has the medical total expense of the hospitalization period less than or equal to the preset expense of the disease group, as a first target medical object; determining a prognosis-good medical object from the first target medical object according to the medical quality index data and the medical object follow-up data; screening consumption records of the multi-class medical resource of the medical object with good prognosis from the consumption records of the multi-class medical resource of the first target medical object.
Optionally, the apparatus further includes:
a first determining module, configured to determine medical objects in the same disease group according to the basic information of the at least one medical object; determining the first consumption map according to the consumption records of the multiple types of medical resources of the clinical path node in the medical objects in the same disease group and the consumption reference range of the multiple types of medical resources of the first clinical path node;
and the first display module is used for displaying the first consumption map in the resource consumption interface.
Optionally, the apparatus further includes:
the second determining module is used for determining the second consumption map according to the consumption record of the target medical resource of the second target medical object in the second clinical path node and the consumption reference range of the target medical resource of the second clinical path node in the consumption records of the multiple types of medical resources;
and the second display module is used for displaying the second consumption graph in the resource consumption interface.
In a third aspect, an embodiment of the present invention further provides a processing apparatus, including: a memory storing a computer program executable by the processor, and a processor implementing the healthcare resource management method according to any one of the first aspects above when the processor executes the computer program.
In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium, where a computer program is stored, where the computer program is read and executed to implement the medical service resource management method according to any one of the first aspect.
The beneficial effects of the invention are as follows: the embodiment of the invention provides a medical service resource management method, which comprises the following steps: acquiring medical resource data for a plurality of clinical path nodes over a historical time period, the medical resource data for each clinical path node comprising: a record of usage of a plurality of types of medical resources of at least one medical subject; according to the use records of each clinical path node, the medical resource data of each clinical path node are counted to obtain consumption records of multiple types of medical resources in a historical time period for each medical object; determining a consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the plurality of types of medical resources; if the consumption record of the target medical resource of the target clinical path node is not in the consumption reference range of the target medical resource, generating alarm information; the target clinical path node is any node in each clinical path node, and the target medical resource is any medical resource of multiple types of medical resources under the target clinical path node. According to the use records of each clinical path node, the medical resource data of each clinical path node is counted, namely, the counting according to the real data is realized, so that the counted consumption records of multiple types of medical resources are more real, reliable and accurate, the counting is performed for each medical object and each clinical path node, the counted data is more detailed, and the fine monitoring of the consumption of multiple types of medical resources of each medical object at each clinical path node can be realized; and the consumption reference range of each type of medical resource is determined, when the consumption record of the target medical resource is not in the consumption reference range of the target medical resource, alarm information is generated, abnormal use reminding of medical service resources is realized, so that a user can adjust the medical service resources in time, the utilization rate of the medical service resources is improved, and the fine management of the medical service resources is realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a medical service resource management method according to an embodiment of the present invention;
fig. 2 is a flow chart of a medical service resource management method according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for managing medical service resources according to an embodiment of the present invention;
fig. 4 is a flow chart of a medical service resource management method according to an embodiment of the present invention;
FIG. 5 is a flowchart of a method for managing medical service resources according to an embodiment of the present invention;
FIG. 6 is a flowchart of a method for managing medical service resources according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a resource consumption interface according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of a resource consumption interface according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of a resource consumption interface according to an embodiment of the present invention;
fig. 10 is a flow chart of a medical service resource management method according to an embodiment of the present invention;
FIG. 11 is a schematic diagram of a resource consumption interface according to an embodiment of the present invention;
FIG. 12 is a schematic diagram of a resource consumption interface according to an embodiment of the present invention;
FIG. 13 is a schematic diagram of a resource consumption interface according to an embodiment of the present invention;
FIG. 14 is a schematic diagram of a resource consumption interface according to an embodiment of the present invention;
FIG. 15 is a schematic view of a medical service resource management device according to an embodiment of the present invention;
fig. 16 is a schematic diagram of a processing apparatus according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention.
Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In the description of the present application, it should be noted that, if the terms "upper", "lower", and the like indicate an azimuth or a positional relationship based on the azimuth or the positional relationship shown in the drawings, or an azimuth or the positional relationship that is commonly put when the product of the application is used, it is merely for convenience of description and simplification of the description, and does not indicate or imply that the apparatus or element to be referred to must have a specific azimuth, be configured and operated in a specific azimuth, and therefore should not be construed as limiting the present application.
Furthermore, the terms first, second and the like in the description and in the claims and in the above-described figures, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that, without conflict, features in embodiments of the present application may be combined with each other.
In the related art, the outpatient service quantity and the operation quantity are counted, and according to medical quality indexes such as the outpatient service quantity and the operation quantity, the consumption of medical resources such as personnel, equipment and consumable materials in departments and whole hospitals is estimated, so that a reference basis is provided for medical resource allocation. However, in the related art, the medical resource consumption is estimated based on the clinic volume and the operation volume, and there is a problem that the estimation is inaccurate.
According to the medical service resource management method provided by the embodiment of the application, according to the use records of each clinical path node, the medical resource data of each clinical path node is counted, namely, the statistics is carried out according to the real data, so that the counted consumption records of multiple types of medical resources are more real, reliable and accurate, the counted data are more detailed for each medical object and each clinical path node, and the monitoring of the multi-type medical resource consumption of each medical object at each clinical path node can be realized.
The medical service resource management method provided by the embodiment of the application can be applied to processing equipment, the processing equipment can be a terminal or a server, and if the processing equipment is a terminal, the terminal can be any one of the following: desktop computers, notebook computers, tablet computers, smart phones, etc.
The following explains a medical service resource management method provided in the embodiment of the present application.
FIG. 1 is a schematic flow chart of a medical service resource management method according to an embodiment of the present invention; as shown in fig. 1, the method may include:
s101, acquiring medical resource data of a plurality of clinical path nodes in a historical time period.
Wherein the medical resource data for each clinical path node comprises: a record of usage of a plurality of types of medical resources of at least one medical subject.
In some embodiments, medical resource data for a plurality of clinical pathway nodes over a historical period of time may be obtained from at least one medical subject's electronic case and physician's working system. Wherein the physician's working system may also be referred to as a physician's workstation.
It should be noted that at least one medical object in the history period may be the same DRG (Diagnosis Related Groups, disease diagnosis related group) medical object discharged contemporaneously in the preset period. Of course, multiple sets of DRG medical objects may be counted, with separate statistics for each set of DRG medical objects.
In addition, the preset historical time period may be one week or one month, or may be set according to actual requirements, which is not specifically limited in the embodiment of the present application.
S102, according to the use records of each clinical path node, the medical resource data of each clinical path node are counted to obtain consumption records of multiple types of medical resources in a historical time period for each medical object.
In some embodiments, according to the usage record of each clinical path node, the medical resource data of each clinical path node is counted in a sequential or simultaneous manner, so as to obtain a consumption record of multiple types of medical resources for each clinical path node in a historical time period for each medical object.
It should be noted that, the basic data of at least one medical object may be obtained, where the basic data of at least one medical object may represent a correspondence between a medical object identifier and a clinical path identifier, and according to the basic data of at least one medical object and a usage record of each clinical path node, medical resource data of each clinical path node is counted, so as to obtain a consumption record of multiple types of medical resources for each medical object in a historical period.
In an embodiment of the present application, the plurality of clinical path nodes may include: clinical pathway nodes corresponding to admission, clinical pathway nodes corresponding to preoperative preparation/diagnosis and treatment periods, clinical pathway nodes corresponding to surgery, clinical pathway nodes corresponding to postoperative recovery/diagnosis and treatment periods, clinical pathway nodes corresponding to discharge and clinical pathway nodes corresponding to the whole course.
By way of example, the plurality of clinical path nodes may include: x; the multiple classes of medical resources of clinical path node x may include: x1, according to the use record of the medical resource x1 of the medical object a under the clinical path node x, the consumption record of the medical resource x1 of the medical object a under the clinical path node x can be obtained through statistics; according to the usage record of the medical resource x1 of the medical object b under the clinical path node x, the consumption record of the medical resource x1 of the medical object b under the clinical path node x can be obtained through statistics.
S103, determining the consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the plurality of types of medical resources.
According to the embodiment of the application, according to the consumption records of the medical resources of multiple types, the reference value of each type of medical resources of each clinical path node can be determined, and then the consumption reference range of each type of medical resources of each clinical path node is determined according to the reference value and the error range; this is not particularly limited in the embodiments of the present application.
For example, the reference value may be m, the error range may be + -a, and the consumption reference range may be [ m-a, m+a ].
It should be noted that, if the medical resource is a low-quality index such as a medical cost resource or a medicine consumable resource, only an upper limit is set for the medical resource, that is, m+a, where m-a may be equal to 0; when the consumption record of the medical expense resource of the target clinical path node approaches or is more than or equal to m+a, generating alarm information; similarly, when the consumption record of the medicine consumable resource of the target clinical path node approaches or is more than or equal to m+a, alarm information is generated.
And S104, if the consumption record of the target medical resource of the target clinical path node is not in the consumption reference range of the target medical resource, generating alarm information.
The target clinical path node is any node in each clinical path node, and the target medical resource is any medical resource of multiple types of medical resources under the target clinical path node.
In some embodiments, if the consumption record of the target medical resource of the target clinical path node is not within the consumption reference range of the target medical resource, it is indicated that the consumption of the target medical resource is abnormal, and an alarm prompt is required to enable the hospital staff to learn the abnormality and perform intervention.
In addition, each type of medical resource of each clinical path node can be monitored according to the corresponding consumption reference range, so that the comprehensive monitoring is realized, and the alarm can be timely given when any abnormality is found.
For example, for each type of medical resource under each clinical path node, a consumption reference interval [ q1, q2] of each type of medical resource is set,
the system monitors the resource consumption condition of the current inpatient medical object in real time, and sends a prompt for the abnormal condition of the medical resource consumption which is not in the interval, for example, when the health ventilating and teaching time length does not meet the interval [3h,4h ], the system prompts that the ventilating and teaching time length of the medical object should be increased/shortened.
In summary, an embodiment of the present invention provides a medical service resource management method, including: acquiring medical resource data for a plurality of clinical path nodes over a historical time period, the medical resource data for each clinical path node comprising: a record of usage of a plurality of types of medical resources of at least one medical subject; according to the usage records of each clinical path node, the medical resource data of each clinical path node are counted to obtain consumption records of the multiple types of medical resources for each medical object in the historical time period; determining a consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the plurality of types of medical resources; if the consumption record of the target medical resource of the target clinical path node is not in the consumption reference range of the target medical resource, generating alarm information; the target clinical path node is any node in each clinical path node, and the target medical resource is any medical resource of multiple types of medical resources under the target clinical path node. According to the use records of each clinical path node, the medical resource data of each clinical path node is counted, namely, the counting according to the real data is realized, so that the counted consumption records of multiple types of medical resources are more real, reliable and accurate, the counting is performed for each medical object and each clinical path node, the counted data is more detailed, and the fine monitoring of the consumption of multiple types of medical resources of each medical object at each clinical path node can be realized; and the consumption reference range of each type of medical resource is determined, when the consumption record of the target medical resource is not in the consumption reference range of the target medical resource, alarm information is generated, abnormal use reminding of medical service resources is realized, so that a user can adjust the medical service resources in time, the utilization rate of the medical service resources is improved, and the fine management of the medical service resources is realized.
In addition, the medical object may also be referred to as a patient.
In embodiments of the present application, the usage record of the plurality of types of medical resources may include at least two of: human resources usage records, medical facility equipment usage records, drug consumable usage records, and medical cost records.
Optionally, the usage records of the multiple medical resources include: human resources usage records and medical facility device usage records.
The human resource usage record may include: hospital number, medical object ID, clinical path node, physician profile, ward log data, ward record. On the basis, optionally, the method can further comprise: at least two of consultation, case discussion, preoperative discussion, imaging examination, medical examination, surgery, treatment, nursing, rescue, health ventilating and teaching, medical record writing, and medical record quality control, which are not particularly limited by the embodiment of the present application. The human resource usage record may be as shown in table 1 below:
TABLE 1
PA22031671
Additionally, the medical facility device usage record may include: medical object ID, hospital number, clinical path diagnosis and treatment node number, bed occupation number, time of entering operation room, time of exiting operation room, number of breathing machine equipment, starting working time of breathing machine, stopping working time of breathing machine, number of vital sign monitor equipment, starting working time of vital sign monitor and stopping working time of vital sign monitor. The medical facility device usage record may be as shown in table 2 below:
TABLE 2
Fig. 2 is a flow chart of a medical service resource management method according to an embodiment of the present invention; as shown in fig. 2, the process of counting the medical resource data of each clinical path node according to the usage record of each clinical path node to obtain the consumption record of multiple types of medical resources for each medical object in the historical time period in S102 may include:
s201, according to the human resource usage records of each clinical path node, the human resource usage data of each clinical path node is counted to obtain the consumption time of each human resource of each clinical path node and the accumulated consumption time of each human resource in the historical time period of each medical object.
The time consumption of various human resources comprises the following steps: ward-round time of doctors at all levels, time of discussion of various conferences, time of various examinations, time of treatment, time of nursing and the like; the accumulated time consumption of various human resources comprises the following steps: the accumulated ward-round time of each level of doctors, the accumulated time of various checks, the accumulated time of treatment, the accumulated time of nursing and the like.
In some embodiments, the human resource usage record of each clinical path node is analyzed to obtain physician ward-round duration association data, where the association data may include: the association between the duration of the last ward round and the medical object ID, the superior physician ward round record ID, and the association between the superior physician ward round record ID and the corresponding participating ward round physician ID, and after these contents are collated, as shown in table 3 below:
TABLE 3 Table 3
In addition, the physician ward round time at each stage may be as shown in table 4 below:
TABLE 4 Table 4
It should be noted that, for the medical object i, the ward-round start time acquired by the system under the current clinical path node r is marked as ts, the ward-round end time is marked as tf, the ward-round time recorded by the superior physician ward-round is marked as tc, if tc is e [ ts, tf ], the j-th ward-round time tj=tf-ts is stored in the physician ward-round time association record, and the ID is associated with the superior physician ward-round record. And matching the doctor signature information in the superior doctor ward-round record with the doctor name, and associating the doctor ID. The physician ward-round time duration association record may be as shown in table 5 below:
TABLE 5
In an embodiment of the application, at clinical path node r, the physician ward-round time duration for a physician of rank w may be expressed as:
wherein t is j And the j-th ward round time length under the current clinical path node is represented.
Additionally, the current cumulative consumption of each level of physician ward-round time by the medical subject may be expressed as:
wherein t is rw Representing the duration of a physician ward round at a physician level w at the clinical path node r.
Illustratively, the physician ward-round time statistics at each level are shown in Table 6 below:
TABLE 6
In addition, for the medical object i, other medical resources besides the ward-round time of the doctor, such as consultation, case discussion, preoperative discussion, imaging examination, medical examination, operation, treatment, nursing, rescue, health education, medical record writing, medical record quality control and the like, the time consumption statistical method under the clinical path node r is as follows: Where tj=tend time-tstart time, medical subject i accumulates statistics of durations of consumption of other medical resources at multiple clinical path nodes:
S202, according to the medical facility equipment use records of each clinical path node, the medical facility equipment use data of each clinical path node are counted to obtain the use duration of each medical facility equipment of each clinical path node and the accumulated use duration of each medical facility equipment of each medical object in a historical time period.
In this embodiment of the present application, the use duration of each medical facility device and the accumulated use duration of each medical facility device of each clinical path node are similar to the above-mentioned calculation methods of the ward-round duration of each level of doctor and the accumulated ward-round duration of each level of doctor of each clinical path node, and are not described in detail herein.
By way of example, the duration of use of each medical facility device may include: the occupation time of the operating room, the use time of the breathing machine, the use time of the vital sign monitor and the like, and correspondingly, the accumulated use time of each medical facility device can comprise: the accumulated occupied time of the operating room, the accumulated use time of the breathing machine, the accumulated use time of the vital sign monitor and the like.
Optionally, the usage records of the multiple medical resources include: drug consumable usage records and medical cost records.
Wherein the drug consumable usage record may include at least two of: medical object ID, hospital number, clinical pathway diagnosis and treatment node, medicine name, medicine type, medicine attribute, medicine specification, medicine number, blood group code, transfusion variety code, transfusion amount, oxygen consumption time, total oxygen consumption amount. By way of example, the drug consumable usage record may be as shown in Table 7 below:
TABLE 7
Additionally, the medical expense record may include at least two of: medical object identification, clinical path information, medical services, diagnosis, treatment, rehabilitation, traditional Chinese medicine, western medicine, antibacterial medicine, chinese patent medicine, blood and blood products and consumables. By way of example, the medical fee record may be as shown in table 8 below:
TABLE 8
FIG. 3 is a flowchart of a method for managing medical service resources according to an embodiment of the present invention; as shown in fig. 3, the process of counting the medical resource data of each clinical path node according to the usage record of each clinical path node to obtain the consumption record of multiple types of medical resources for each medical object in the historical time period in S102 may include:
S301, according to the medicine consumable usage records of each clinical path node, counting the medicine consumable usage data of each clinical path node to obtain the usage amount of each medicine consumable of each clinical path node and the accumulated usage amount of each medicine consumable in a historical time period of each medical object.
In some embodiments, according to the usage record of the medicine consumable of each clinical path node, the usage amount and the accumulated usage amount of various medicine consumable of the medical object under each clinical path node are counted, and the usage amount and the accumulated usage amount of the special medicine consumable of the medical object under each clinical path node are counted, wherein the special medicine consumable can comprise Chinese patent medicine, medical toxic medicine, mental medicine, chinese and western anesthetic medicine and imported medicine.
In addition, the current transfusion quantity and the total transfusion quantity of the medical object can be counted according to the transfusion variety; and counting the current oxygen consumption time and the accumulated oxygen consumption time of the medical object, and counting the current oxygen consumption and the total oxygen consumption of the medical object.
S302, according to the medical cost records of each clinical path node, the medical cost data of each clinical path node are counted to obtain each medical cost of each clinical path node and the total cost of each medical cost in a historical time period of each medical object.
Wherein, the method of sequential statistics or simultaneous statistics can be adopted to count each medical fee for each clinical path node and the total fee of each medical fee. Alternatively, the medical costs may include at least two types of costs in Table 8.
In this embodiment of the present application, the foregoing process of S302 may be performed by using a preset clinical path diagnosis and treatment node rule base, which may refer to the rules in the following table 9:
TABLE 9
Optionally, fig. 4 is a flowchart of a method for managing medical service resources according to an embodiment of the present invention, as shown in fig. 4, where determining a consumption reference range of each type of medical resource of each clinical path node according to a consumption record of multiple types of medical resources in S103 includes:
s401, screening the consumption records of the multi-type medical resources of the medical object with good prognosis from the consumption records of the multi-type medical resources of at least one medical object.
In some embodiments, the consumption records of the multiple classes of medical resources of the good medical subject are screened from the consumption records of the multiple classes of medical resources of the at least one medical subject using a preset screening rule or a preset screening algorithm.
S402, determining the consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the medical resources of the multiple types of medical objects with good prognosis.
In some embodiments, the average value of each type of medical resource in each clinical path node is calculated according to the consumption records of the multiple types of medical resources of the medical object with good prognosis, and the average value is used as the standard value of each type of medical resource in each clinical path node, and the consumption standard range of each type of medical resource in each clinical path node is obtained according to the standard value and the preset error range.
The reference value of each type of medical resource for each clinical pathway node is added to obtain the reference value of the disease type.
Taking the ward-round time length of the home doctor as an example, the ward-round time length of the home doctor at the diagnosis and treatment node r is marked with a pole value Q r The marker post is:
wherein N is the number of cases with good prognosis.
The medical resource consumption marker post value of the disease is as follows:
for example, in a case with good prognosis of esophageal leiomyoma, the minimum value of the health announced duration of the R4 nutrition evaluation and treatment is 1h (hour), the maximum value is 3h, 1h can be selected as the health announced standard value of the disease, and the interval [1h,3h ] can be selected as the health announced standard rod interval of the disease. However, in the aspect of disease case quality control, the disease case quality control duration of the R4 nutrition evaluation and treatment is between 0.5h and 1h, and in order to ensure the disease case quality control quality, the highest value of 1h can be selected as a disease case quality control reference value of the disease.
Fig. 5 is a flow chart of a medical service resource management method according to an embodiment of the present invention, as shown in fig. 5, a process of screening consumption records of multiple types of medical resources of a medical object with good prognosis from consumption records of multiple types of medical resources of at least one medical object in S401 may include:
s501, acquiring medical quality index data of at least one medical object, follow-up data of the medical object and medical expense records in multiple types of medical resources.
Wherein the medical quality index data is used to characterize the quality of service during a medical visit, and the medical subject follow-up data may characterize the access record for the medical subject.
By way of example, the medical quality index data may be parameterized by table 10 below:
table 10
In addition, the medical subject follow-up data may be parameterized by table 11 below:
TABLE 11
S502, according to the medical expense record, determining a medical object which is discharged in the same period in the same disease group from at least one medical object, wherein the medical object with the medical total expense in the hospitalization period being less than or equal to the preset expense of the disease group is the first target medical object.
S503, determining a medical object with good prognosis from the first target medical object according to the medical quality index data and the medical object follow-up data.
Wherein, the disease group may be a DRGs group, the preset fee of the disease group may be a rated fee of medical insurance for the disease species entering the DRGs group, and the first target medical object may include: the same group is discharged at the same time, and the total medical cost of the medical subjects during hospitalization is less than or equal to the medical rated cost of the DRGs of the group-entering disease species.
In some embodiments, a prognosis-good medical subject should meet the following conditions: no hospital infection, adverse medical events, and no planned hospital admission for 31 days during hospitalization of the medical object; in a medical subject satisfaction survey conducted at the time of discharge of a medical subject, the medical subject is very satisfied with the overall evaluation of the current hospitalization; the psychological state of the medical object is evaluated to be good through discharge follow-up; the overall evaluation of hospital satisfaction at discharge follow-up was very satisfactory for the medical subjects.
In addition, in the embodiment of the present application, a medical subject with poor prognosis may also be determined from at least one medical subject, and the following condition should be satisfied by the medical subject with poor prognosis: conditions such as nosocomial infection, adverse medical events, and unintended admission on day 31 exist during hospitalization of the medical object; in a medical subject satisfaction survey conducted at the time of discharge of a medical subject, the medical subject is highly dissatisfied with the overall evaluation of the current hospitalization; the psychological state of the medical object is evaluated as poor through discharge follow-up; the medical subject's condition is assessed as worsening or dying by discharge follow-up; the overall evaluation of hospital satisfaction at discharge follow-up for the medical subject was very unsatisfactory.
S504, screening the consumption records of the multi-type medical resources of the medical object with good prognosis from the consumption records of the multi-type medical resources of the first target medical object.
The remaining consumption records after screening the consumption records of the multiple types of medical resources of the medical object with good prognosis and the consumption records of the multiple types of medical resources of the medical object with poor prognosis can be called as the consumption records of the multiple types of medical resources of other medical objects.
The method can be used for carrying out partition storage on the consumption records of the multiple medical resources of the medical objects with good prognosis, the consumption records of the multiple medical resources of the medical objects with poor prognosis and the consumption records of the multiple medical resources of other medical objects.
Optionally, fig. 6 is a flowchart of a medical service resource management method according to an embodiment of the present invention, as shown in fig. 6, after counting medical resource data of each clinical path node according to a usage record of each clinical path node in S102 to obtain a process of recording consumption of multiple types of medical resources in a historical time period for each medical object, the method may further include:
s601, determining medical objects in the same disease group according to basic information of at least one medical object.
S602, determining a first consumption map according to the consumption records of the multiple medical resources of the same disease group in the first clinical path node and the consumption reference range of the multiple medical resources of the first clinical path node in the consumption records of each multiple medical resource of the clinical path node.
Wherein the same group of diseases may be the same DRGs group.
In some embodiments, the medical objects under the same DRGs group are determined according to the basic information of at least one medical object, and the first consumption map is determined according to the consumption records of the medical objects under the same DRGs group in the multiple types of medical resources of the first clinical path diagnosis and treatment node, the consumption records of the multiple types of medical resources of the first clinical path diagnosis and treatment node, and the consumption reference range of the multiple types of medical resources of the first clinical path node.
The basic information of at least one medical object can also characterize the corresponding relation among the patient identification, the clinical path identification and the DRGs codes, and the DRGs with the same codes are grouped into the same DRGs.
Of course, the first consumption map may be determined according to the consumption record of the multiple medical resources of the first clinical path diagnosis and treatment node and the reference value of the multiple medical resources of the first clinical path node. Wherein the consumption reference range can be obtained according to the reference value and the preset error range.
S603, displaying a first consumption map in the resource consumption interface.
Fig. 7 is a schematic diagram of a resource consumption interface provided by an embodiment of the present invention, where as shown in fig. 7, a first clinical path node may be R4, R4 is a nutrition evaluation and treatment stage, and multiple types of medical resources may include: medical costs, medical service costs, diagnostic costs, therapeutic costs, western medicine costs, blood and blood product costs, and consumable costs.
Of course, the overall situation of disease resource consumption and the reference value can also be displayed in real time in the resource consumption interface, fig. 8 is a schematic diagram of the resource consumption interface provided by the embodiment of the invention, and the medical expense consumption situation can be shown in fig. 8 for disease esophageal leiomyoma; fig. 9 is a schematic diagram of a resource consumption interface provided by an embodiment of the present invention, and for a disease of esophageal leiomyoma, the overall situation of human resource consumption may be as shown in fig. 9.
In practical application, the method can also display the medical quality index data of various diseases in real time, display the resource consumption conditions of various corresponding medical teams and corresponding departments and display the resource consumption conditions aiming at special medical services.
Optionally, fig. 10 is a flowchart of a method for managing medical service resources according to an embodiment of the present invention, as shown in fig. 10, after counting medical resource data of each clinical path node according to a usage record of each clinical path node in S102 to obtain a process of recording consumption of multiple types of medical resources in a historical time period for each medical object, the method may further include:
S1001, determining a second consumption map according to the consumption record of the target medical resource of the second target medical object in the second clinical path node and the consumption reference range of the target medical resource of the second clinical path node in the consumption records of the multiple types of medical resources.
In this embodiment of the present application, the second consumption map is determined according to the consumption record of the target medical resource of the target clinical path node for the second target medical object, and the consumption reference range of the target medical resource of the second clinical path node, among the consumption records of the multiple types of medical resources.
Of course, the second consumption map may be determined based on the consumption record of the target medical resource of the second clinical pathway diagnosis node and the reference value of the target medical resource of the second clinical pathway node. Wherein the consumption reference range can be obtained according to the reference value and the preset error range.
S1002, displaying a second consumption map in the resource consumption interface.
Wherein at least one consumption map may be presented in the resource consumption interface.
In some embodiments, a consumption map of the current medical resource of the second target medical object under each clinical path node and a corresponding benchmark value may also be presented in the resource consumption interface; displaying the current medical resource consumption accumulation of the second target medical object and the reference value of the disease; and displaying the current medical quality index data of the second target medical object.
Fig. 11 is a schematic diagram of a resource consumption interface provided by an embodiment of the present invention, for example, patient Zhang three is taken as an example, and the human resource consumption and the reference lower limit value of the diagnosis node R4 node are shown in fig. 11. Fig. 12 is a schematic diagram of a resource consumption interface provided in an embodiment of the present invention, taking patient Zhang three as an example, which is the human resource consumption and the reference upper limit value at the diagnosis node R4, as shown in fig. 12.
Fig. 13 is a schematic diagram of a resource consumption interface provided in an embodiment of the present invention, taking patient tension three as an example, in which the current human resource consumption is accumulated and the reference upper limit value is shown in fig. 13. Fig. 14 is a schematic diagram of a resource consumption interface provided in an embodiment of the present invention, taking patient tension three as an example, in which the current human resource consumption is accumulated and the reference lower limit value is shown in fig. 14.
In the embodiment of the application, aiming at the case with poor prognosis effect, the medical resource consumption map of each case is displayed, the medical resource consumption condition of each case is analyzed by comparing the medical resource benchmark value of the disease group, the improvement plan is conveniently provided by a department, the medical resource allocation optimization is promoted by strengthening corresponding work, and the diagnosis and treatment quality and the diagnosis and treatment efficiency are improved.
In summary, according to the medical service resource management method provided by the embodiment of the application, the input composition and consumption conditions of the medical service resources of the disease can be obtained, and the real evidence of the optimal configuration of the medical service resources is provided. Through the real-time monitoring of medical resource consumption of inpatient medical objects, the hospital is helped to master the actual consumption condition of medical service resources of various diseases, the hospital is helped to implement more operative and targeted measures to optimize medical service resource allocation, the operation cost of the hospital is controlled, and the medical service resource lean management is realized.
Moreover, the medical service resource consumption condition under each clinical path node is monitored aiming at the whole medical object hospitalization diagnosis and treatment process, and the medical resource allocation condition of the medical object with good prognosis is used as a reference to give warning to abnormal conditions.
The following describes a medical resource data processing device, a storage medium, etc. for executing the medical service resource management method provided in the present application, and specific implementation processes and technical effects thereof refer to relevant contents of the medical service resource management method, which are not described in detail below.
Fig. 15 is a schematic diagram of a medical service resource management device according to an embodiment of the present invention, where, as shown in fig. 15, the device may include:
an obtaining module 1501 for obtaining medical resource data of a plurality of clinical path nodes in a history period, the medical resource data of each clinical path node comprising: a record of usage of a plurality of types of medical resources of at least one medical subject;
a statistics module 1502, configured to perform statistics on medical resource data of each clinical path node according to the usage record of each clinical path node, to obtain consumption records of the multiple types of medical resources for each medical object in the historical time period;
a determining module 1503, configured to determine a consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the multiple types of medical resources;
a generating module 1504, configured to generate alarm information if a consumption record of a target medical resource of a target clinical path node is not within a consumption reference range of the target medical resource;
the target clinical path node is any node in each clinical path node, and the target medical resource is any medical resource of multiple types of medical resources under the target clinical path node.
Optionally, the usage records of the multiple medical resources include: human resources usage records and medical facility equipment usage records; the statistics module 1502 is specifically configured to perform statistics on human resources usage data of each clinical path node according to the human resources usage record of each clinical path node, so as to obtain a consumption duration of each type of human resources of each clinical path node and a cumulative consumption duration of each type of human resources of each medical object in the historical time period; and counting the medical facility equipment use data of each clinical path node according to the medical facility equipment use record of each clinical path node to obtain the use duration of each medical facility equipment of each clinical path node and the accumulated use duration of each medical facility equipment of each medical object in the historical time period.
Optionally, the usage records of the multiple medical resources include: drug consumable usage records and medical cost records; the statistics module 1502 is specifically configured to perform statistics on usage data of the drug consumables of each clinical path node according to the usage record of the drug consumables of each clinical path node, so as to obtain usage amounts of various drug consumables of each clinical path node and accumulated usage amounts of the various drug consumables of each medical object in the historical time period; and counting the medical cost data of each clinical path node according to the medical cost record of each clinical path node to obtain each medical cost of each clinical path node and the total cost of each medical cost in the historical time period of each medical object.
Optionally, the determining module 1503 is specifically configured to screen consumption records of multiple types of medical resources of a medical object with good prognosis from consumption records of the multiple types of medical resources of the at least one medical object; and determining the consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the medical resources of the plurality of types of medical resources of the medical subjects with good prognosis.
Optionally, the determining module 1503 is specifically configured to obtain medical quality index data of the at least one medical object, follow-up data of the medical object, and medical fee records in the multiple medical resources; according to the medical expense record, determining a medical object which is discharged in the same period in the same disease group from at least one medical object, and has the medical total expense of the hospitalization period less than or equal to the preset expense of the disease group, as a first target medical object; determining a prognosis-good medical object from the first target medical object according to the medical quality index data and the medical object follow-up data; screening consumption records of the multi-class medical resource of the medical object with good prognosis from the consumption records of the multi-class medical resource of the first target medical object.
Optionally, the apparatus further includes:
a first determining module, configured to determine medical objects in the same disease group according to the basic information of the at least one medical object; determining the first consumption map according to the consumption records of the multiple types of medical resources of the clinical path node in the medical objects in the same disease group and the consumption reference range of the multiple types of medical resources of the first clinical path node;
and the first display module is used for displaying the first consumption map in the resource consumption interface.
Optionally, the apparatus further includes:
the second determining module is used for determining the second consumption map according to the consumption record of the target medical resource of the second target medical object in the second clinical path node and the consumption reference range of the target medical resource of the second clinical path node in the consumption records of the multiple types of medical resources;
and the second display module is used for displaying the second consumption graph in the resource consumption interface.
The foregoing apparatus is used for executing the method provided in the foregoing embodiment, and its implementation principle and technical effects are similar, and are not described herein again.
The above modules may be one or more integrated circuits configured to implement the above methods, for example: one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more microprocessors (digital singnal processor, abbreviated as DSP), or one or more field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGA), or the like. For another example, when a module above is implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a central processing unit (Central Processing Unit, CPU) or other processor that may invoke the program code. For another example, the modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Fig. 16 is a structural view of a processing apparatus according to an embodiment of the present invention, as shown in fig. 16, the processing apparatus includes: processor 1601, memory 1602.
The memory 1602 is used to store a program, and the processor 1601 calls the program stored in the memory 1602 to execute the above-described method embodiment. The specific implementation manner and the technical effect are similar, and are not repeated here.
Optionally, the present invention also provides a program product, such as a computer readable storage medium, comprising a program for performing the above-described method embodiments when being executed by a processor.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform some of the steps of the methods according to the embodiments of the invention. And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A medical service resource management method, comprising:
acquiring medical resource data for a plurality of clinical path nodes over a historical time period, the medical resource data for each clinical path node comprising: a record of usage of a plurality of types of medical resources of at least one medical subject;
according to the usage records of each clinical path node, the medical resource data of each clinical path node are counted to obtain consumption records of the multiple types of medical resources for each medical object in the historical time period;
determining a consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the multiple types of medical resources;
if the consumption record of the target medical resource of the target clinical path node is not in the consumption reference range of the target medical resource, generating alarm information;
the target clinical path node is any node in each clinical path node, and the target medical resource is any medical resource of multiple types of medical resources under the target clinical path node.
2. The method of claim 1, wherein the usage record of the plurality of medical resources comprises: human resources usage records and medical facility equipment usage records; the step of counting the medical resource data of each clinical path node according to the usage record of each clinical path node to obtain the consumption record of the multiple types of medical resources for each medical object in the historical time period, comprising the following steps:
Counting the human resource usage data of each clinical path node according to the human resource usage record of each clinical path node to obtain the consumption duration of each type of human resource of each clinical path node and the accumulated consumption duration of each type of human resource of each medical object in the historical time period;
and counting the medical facility equipment use data of each clinical path node according to the medical facility equipment use record of each clinical path node to obtain the use duration of each medical facility equipment of each clinical path node and the accumulated use duration of each medical facility equipment of each medical object in the historical time period.
3. The method according to claim 1 or 2, wherein the usage record of the plurality of medical resources comprises: drug consumable usage records and medical cost records; the step of counting the medical resource data of each clinical path node according to the usage record of each clinical path node to obtain the consumption record of the multiple types of medical resources for each medical object in the historical time period, comprising the following steps:
According to the usage records of the medicine consumables of each clinical path node, counting the usage data of the medicine consumables of each clinical path node to obtain the usage amount of each medicine consumable of each clinical path node and the accumulated usage amount of each medicine consumable in the historical time period of each medical object; and counting the medical cost data of each clinical path node according to the medical cost record of each clinical path node to obtain each medical cost of each clinical path node and the total cost of each medical cost in the historical time period of each medical object.
4. The method of claim 1, wherein determining a consumption benchmark scope for each type of medical resource for each clinical path node based on the consumption records for the plurality of types of medical resources comprises:
screening consumption records of multiple types of medical resources of a medical object with good prognosis from the consumption records of the multiple types of medical resources of the at least one medical object;
and determining the consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the medical resources of the plurality of types of medical resources of the medical subjects with good prognosis.
5. The method of claim 4, wherein said screening consumption records of multiple classes of medical resources for a good prognosis medical subject from consumption records of said multiple classes of medical resources for said at least one medical subject comprises:
acquiring medical quality index data of the at least one medical object, medical object follow-up data and medical expense records in the multi-class medical resource;
according to the medical expense record, determining a medical object which is discharged in the same period in the same disease group from at least one medical object, and has the medical total expense of the hospitalization period less than or equal to the preset expense of the disease group, as a first target medical object;
determining a prognosis-good medical object from the first target medical object according to the medical quality index data and the medical object follow-up data;
screening consumption records of the multi-class medical resource of the medical object with good prognosis from the consumption records of the multi-class medical resource of the first target medical object.
6. The method of claim 1, wherein after said counting the medical resource data of each of said clinical path nodes from said usage records of each of said clinical path nodes to obtain a consumption record of said plurality of types of medical resources for each of said medical subjects over said historical period of time, said method further comprises:
Determining medical objects in the same disease group according to the basic information of the at least one medical object;
determining a first consumption map according to the consumption records of the multiple types of medical resources of the clinical path node in the same disease group and the consumption reference range of the multiple types of medical resources of the first clinical path node;
the first consumption map is shown in a resource consumption interface.
7. The method of claim 1, wherein after said counting the medical resource data of each of said clinical path nodes from said usage records of each of said clinical path nodes to obtain a consumption record of said plurality of types of medical resources for each of said medical subjects over said historical period of time, said method further comprises: determining a second consumption map according to the consumption record of the target medical resource of the second target medical object in the second clinical path node and the consumption reference range of the target medical resource of the second clinical path node in the consumption records of the multiple types of medical resources;
the second consumption map is shown in a resource consumption interface.
8. A medical service resource management device, comprising:
an acquisition module for acquiring medical resource data of a plurality of clinical path nodes within a historical time period, the medical resource data of each clinical path node comprising: a record of usage of a plurality of types of medical resources of at least one medical subject;
the statistics module is used for counting the medical resource data of each clinical path node according to the use record of each clinical path node to obtain the consumption record of the multiple types of medical resources for each medical object in the historical time period;
the determining module is used for determining the consumption reference range of each type of medical resource of each clinical path node according to the consumption records of the multiple types of medical resources;
the generation module is used for generating alarm information if the consumption record of the target medical resource of the target clinical path node is not in the consumption reference range of the target medical resource;
the target clinical path node is any node in each clinical path node, and the target medical resource is any medical resource of multiple types of medical resources under the target clinical path node.
9. A processing apparatus, comprising: a memory and a processor, the memory storing a computer program executable by the processor, the processor implementing the healthcare resource management method of any one of the preceding claims 1-7 when the computer program is executed.
10. A computer readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when read and executed, implements the medical service resource management method according to any of the preceding claims 1-7.
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CN117077989B (en) * | 2023-10-17 | 2024-04-05 | 广州市城市规划勘测设计研究院 | Overload alarm method for medical bed |
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