CN114420278A - Intelligent check reservation method and system based on rule algorithm - Google Patents
Intelligent check reservation method and system based on rule algorithm Download PDFInfo
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- CN114420278A CN114420278A CN202210090853.3A CN202210090853A CN114420278A CN 114420278 A CN114420278 A CN 114420278A CN 202210090853 A CN202210090853 A CN 202210090853A CN 114420278 A CN114420278 A CN 114420278A
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Abstract
The invention relates to an intelligent checking reservation method and system based on a rule algorithm, which comprises the following steps: acquiring a hospital information system patient effective medical technical examination application form; classifying medical advice items in the received patient examination request form in groups according to reservation service paths, and classifying the items in the patient examination request form according to examination item open reservation service path labels and generating an item reservation service path queue; merging, checking and calculating items in the generated patient appointment service path according to a preset strategy and a checking item merging rule, and generating an appointment application queue for a merging and checking calculation result label; and finishing the appointment ordering according to the optimal resource matched and recommended for the patient appointment application queue and outputting an appointment scheduling queue to a hospital information system according to resource scheduling. The invention provides a medical skill examination appointment method and a medical skill examination appointment system based on a rule base by constructing a scientific medical skill examination appointment rule base.
Description
Technical Field
The invention belongs to the technical field of medical management, and particularly relates to an intelligent examination reservation method and system based on a rule algorithm.
Background
The medical technical department of the medical institution refers to a medical technical department which uses special diagnosis and treatment technologies and equipment to cooperate with clinical departments to diagnose and treat diseases, and is an important component of hospitals. In recent years, the national health service continuously promotes the rapid and healthy development of appointment diagnosis and treatment, the appointment registration service obtains better effect, and the time for patients to visit, register and queue is shortened. The medical skill reservation is one of key services in reservation diagnosis and treatment, is very critical in the whole medical service system, can effectively shorten invalid waiting time of patients, reduce the cost of patients for seeing a doctor, reduce the number of days of hospitalization and improve the satisfaction degree of the patients. And simultaneously, the method is beneficial to improving the service processing capacity and level of medical and technical examination departments.
In hospital medical skill examination operation, the traditional medical skill reservation mode has certain bottleneck, and patients generally need to go and go many times, wait in line, and have low efficiency, time consuming and labor consuming. On one hand, from the perspective of hospitals, the preparation before examination and the examination arrangement required by various examination items are manually controlled, the examination items are difficult to be arranged integrally, and the existing medical resources cannot be mastered and utilized reasonably and evenly. Although some hospitals develop informatization medical technology resource reservation service, the problems of sorting a plurality of examination items of the same patient at a time, time limit conflict of the examination items, flexible management of equipment according to resource quantity and the like cannot be effectively solved, and the developed reservation basically depends on the experience of medical workers and cannot solve the problem of deep relation among the patients, the examination items and the resources; on the other hand, from the perspective of the patient, the patient can wait in line in the examination room for many times, the appointment arrangement is unreasonable, the proper examination time can not be selected independently, and the appointment mode and channel are single.
Therefore, in order to solve the above problems, a scientific professional medical skill examination rule base needs to be constructed, an algorithm based on rules is adopted to calculate and arrange an optimal appointment scheduling scheme for patients, an intelligent, automatic and efficient medical skill appointment system is established, more reasonable appointment scheduling is provided for patients, medical contradictions and invalid flow of patients are effectively avoided, and medical skill examination efficiency and service are greatly improved.
Disclosure of Invention
In order to solve the problems in the prior art, the invention aims to provide a medical skill examination appointment method and a medical skill examination appointment system based on a rule base by constructing a scientific medical skill examination appointment rule base.
The technical scheme of the invention is as follows: in a first aspect, an intelligent check reservation method based on a rule algorithm is provided, which includes the steps of:
acquiring a hospital information system patient effective medical technical examination application form;
classifying medical advice items in the received patient examination request form in groups according to reservation service paths, and classifying the items in the patient examination request form according to examination item open reservation service path labels and generating an item reservation service path queue;
merging, checking and calculating items in the generated patient appointment service path according to a preset strategy and a checking item merging rule, and generating an appointment application queue for result labels of merging, checking and sorting;
matching the generated patient appointment application queue with corresponding optimal resources according to a preset strategy and a project resource matching rule;
and finishing the appointment ordering according to the optimal resource matched and recommended for the patient appointment application queue and outputting an appointment scheduling queue to a hospital information system according to resource scheduling.
Further, the classifying the items in the patient examination request form according to the examination item open reservation service path labels and generating an item reservation service path queue specifically includes:
distributing items in the patient examination request form into two groups of queues of an automatic reservation service path and a non-automatic reservation service path according to the item reservation service path label;
items according with the automatic reservation service path automatically enter the order distribution processing link at the payment completion node, and items of the non-automatic reservation service path are actively triggered by medical staff or patients to enter the order distribution processing link.
Further, the method includes the steps of merging, checking and calculating items in the generated patient appointment service path according to a preset strategy and a check item merging rule, and generating an appointment application queue for a result tag of merging, checking and sorting, and the specific steps include:
extracting item inspection types and position data, cleaning and converting the item inspection types and the position data, and establishing connection with a basic dictionary library to form data of a unified standard which can be recognized by a system;
grouping items in the reserved service path according to the examination type to generate a patient item examination type queue;
checking the specificity of the inspection items in each group of queues according to a preset strategy and an item merging rule, wherein if the inspection items have specificity, the labels are generated and a reservation application queue is generated, and if the inspection items do not have specificity, the corresponding relation between the items and an inspection room/equipment is checked;
checking the corresponding relation between the non-specific items in each group of queues and the inspection rooms/equipment according to a preset strategy and an item merging rule, wherein if each group of queues cannot correspond to the inspection items made on the same inspection room/equipment, a label is generated for the queues and reservation application queues are generated, and if each group of queues corresponds to the inspection items made on the same inspection room/equipment, the item inspection parts are checked;
checking the item checking parts corresponding to the same checking room/equipment in each group of queues according to a preset strategy and a merging rule, wherein the items of the same checking part in each group of queues are labeled and generate a reservation application queue, and the checking items of the non-same checking part in each group of queues are checked in the checking type group;
checking the inspection item groups of non-identical inspection parts in each group of queues according to a preset strategy and an item merging rule, wherein if the inspection items in each group of queues conform to the high-level group, each item label is generated one by one to generate a reservation application queue, and if the inspection items in each group of queues conform to the common group, the inspection items in each group of queues are selected and merged or the reservation application queue is generated.
Further, the step of matching the generated patient appointment application queue with the corresponding optimal resource according to the preset strategy and the project resource matching rule further includes the following specific steps:
according to a preset strategy and a project resource matching rule, completing resource matching execution sequencing of a patient reservation application queue, and sequentially executing resource matching on a reservation application queue, wherein if all items of the reservation application queue of the patient have no inspection sequence requirement, queuing is performed according to the sequence of the generation time of the reservation application queue, and if the items in the reservation application queue of the patient have inspection sequencing requirements, the items are firstly sequenced according to the combination of the item inspection sequence and the generation time of the reservation application queue;
searching resource scheduling according to the examination type of the items in each group of reservation application queues, examination rooms/equipment corresponding to the items, examination time periods, application time and patient sources;
according to a preset strategy and a project resource matching rule, verifying time conflicts among patient examination projects, and filtering out conflicting scheduling resources in the retrieved scheduling set;
and acquiring the retrieved scheduling resource set, and matching the scheduling resource with the optimal time for the reservation application queue.
Further, the completing the ordering according to the optimal resource matching and recommended for the patient appointment application queue and outputting the appointment scheduling queue to the hospital information system according to the resource scheduling specifically comprises:
automatically finishing ordering according to the optimal resource matched by the system by the reservation application queue in the automatic reservation service path;
recommending the reservation application queue in the non-automatic reservation service path to medical personnel or patients for confirmation according to the optimal resource matched by the system, if the reservation application queue agrees, determining to finish ordering by the medical personnel or the patients, if the reservation application queue disagrees, inputting a specified check time condition by the medical personnel or the patients, and re-matching scheduling resources under the condition of adding the specified resources according to a preset strategy and a project resource matching rule;
and the generated reservation scheduling records are grouped and sequenced according to the resource scheduling type and the reservation number sequence, and output to a reservation scheduling queue according to the resource scheduling to a hospital information system, so that a triage basis is laid for the next treatment link.
The second aspect of the present invention provides an intelligent check reservation system based on a rule algorithm, wherein the system comprises: the system comprises a basic data dictionary module, an appointment rule base module, a resource scheduling management module, an application form receiving module, an appointment service module and an appointment scheduling output module.
The basic data dictionary module comprises an inspection department dictionary, an inspection item dictionary, an inspection type dictionary, an inspection part dictionary and an inspection equipment dictionary; the basic data dictionary module is mainly used for defining a checking department, checking items, checking types, checking parts and checking equipment dictionaries and establishing a relational data model between the dictionaries;
the reservation rule base module comprises a preset strategy unit and a rule unit; the preset strategy unit is used for defining reservation strategy schemes corresponding to various inspection types, each strategy scheme comprises a strategy triggering condition and a specific strategy, and the specific strategy at least comprises one rule or a plurality of rule combinations; the rule unit is used for defining specific rules including item merging check and item resource matching corresponding to the check item merging order and the check item resource matching, and reserving the corresponding optimal resource for the check item matching for the patient by using a rule engine based on a reservation rule base;
the resource scheduling management module comprises a resource scheduling unit and a basic scheduling unit; the resource scheduling unit is mainly used for scheduling the use time of the inspection equipment and managing the equipment resources, provides two management modes of number-based management and resource-based management, and can select a proper management mode for the equipment aiming at different inspection services; the basic scheduling unit provides a resource scheduling basic template, and the resource scheduling work can be quickly finished by directly calling the resource basic scheduling template and setting a scheduling date when equipment resources are scheduled;
the application form receiving module is used for receiving a medical and technical examination application form transmitted by the hospital information system;
the reservation service module comprises a rule-based check item merging, resource matching calculation, reservation ordering service and a reservation service API; the rule-based inspection project merging and resource matching calculation refers to that a rule engine is used for performing merging calculation on the basis of a reservation rule base for the reservation inspection projects of the patient and matching corresponding optimal resources; the appointment ordering service is to complete the appointment ordering of the examination items applied by the patients on the optimal resources matched and recommended by the system to form a schedule; the reservation service API is used for opening reservation services to third-party developers;
and the reservation scheduling output module is used for outputting the generated reservation scheduling to a hospital information system according to the resource scheduling type.
Compared with the prior art, the beneficial effects are that the advantages are obvious and the effect is formed:
(1) according to the invention, by establishing an intelligent recommendation reservation rule engine center, reasonable individual reservation, conflict avoidance among projects, avoidance of project taboo items, optimal time arrangement, age limitation, equipment capacity limitation, special clinical special requirements of a specialist and the like are realized, the examination time of a plurality of projects of a plurality of departments of a patient is planned comprehensively, and the visit time cycle span of the patient is greatly reduced.
(2) According to the invention, through the establishment of an intelligent appointment path algorithm and a triage prediction model center, queuing is reduced, the waiting time of a patient is shortened, intelligent appointment triage is realized according to the operation condition of field equipment, the resource utilization is maximized, the hospitalization order is maintained, and the doctor-patient dispute is reduced.
(3) The invention establishes a hospital-wide reservation resource big data management center, reasonably allocates and supervises in a unified way, realizes two management modes of number quantity and resource quantity, and realizes accurate reservation to a time point, thereby achieving the perfect effect that a patient can do the reservation immediately.
(4) The invention realizes a plurality of medical technical appointment scenes such as outpatient service, hospitalization, physical examination, hospital/medical community appointment and the like through the flat rule design and the standard number source service API, supports a plurality of appointment modes such as intelligent recommendation appointment, automatic appointment, self-service appointment, hospital batch appointment and registration appointment, and meets the medical technical appointment application requirements of various aspects such as comprehensive hospitals, special hospitals and the like.
(5) The invention can effectively avoid the medical contradiction between the examination projects and the invalid flow problem of the patient, provide more reasonable appointment scheduling for the patient, save the land for a hospital medical technology examination appointment center and the investment of appointment operators, improve the treatment order of the medical technology examination department, scientifically apply the medical resources of the medical technology department and improve the medical technology examination efficiency and the service quality.
Drawings
Fig. 1 is a schematic flowchart of an intelligent check reservation method based on a rule algorithm according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an implementation of step 103 in FIG. 1 according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating an implementation of step 104 in FIG. 1 according to an embodiment of the present invention;
fig. 4 is a main block diagram of an intelligent check reservation system based on a rule algorithm according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.
Fig. 1 is a schematic flowchart of an intelligent check reservation method based on a rule algorithm according to an embodiment of the present invention. As shown in fig. 1, the present invention provides an intelligent check reservation method based on rule algorithm, and the following is a detailed description of implementation steps of the method of this embodiment.
Step 101: and acquiring an effective medical technical examination application form of a patient in the hospital information system.
In particular, the intelligent examination reservation system based on the rule algorithm is used for monitoring and reading the data of medical skill examination medical advice in real time through local service, receiving the examination application form and storing the examination application form into an examination reservation application pool, wherein the hospital information system is an information system which utilizes modern means such as computer software and hardware technology, network communication technology and the like to comprehensively manage the people flow, the logistics and the financial flow of hospitals and all departments to which the hospitals and all the departments belong, collects, stores, processes, extracts, transmits and gathers the data generated at all stages of medical activities to form various information, thereby providing comprehensive automatic management and various services for the integral operation of the hospitals, the System mainly comprises a Hospital Information System (HIS), a Hospital Information System integration platform and an Electronic Medical Record (EMR). The received medical technical checklist information includes: patient information, application form information, order item information, and the like.
Step 102: classifying medical advice items in the received patient examination request form in groups according to reservation service paths, classifying the items in the patient examination request form according to examination item open reservation service path labels, and generating an item reservation service path queue.
Specifically, a connection relation between an inspection item in an inspection reservation application pool and an item in a basic item library is established, then a reservation service path queue corresponding to each inspection item in the inspection reservation application pool is matched according to an open reservation service path set by the item in the basic item library, the reservation service path opened by the item is divided into two types of automatic reservation and non-automatic reservation, the item conforming to the automatic reservation service path queue is initiatively initiated to enter an order processing link by a program at a payment completion node or a nurse medical advice confirmation completion node, the item not conforming to the automatic reservation service path queue is initiatively triggered by medical personnel or patients to enter an order processing link, for example, the program automatically triggers the reservation service to complete the reservation process after an outpatient service of an ultrasonic inspection item finishes payment or an inpatient nurse confirms the medical advice, and the CT-guided puncture item needs to be queried and guided by professional medical personnel to complete the pre-reservation by the medical personnel And (4) performing the process.
Step 103: and merging, checking and calculating the items in the generated patient appointment service path according to a preset strategy and a check item merging rule, and generating an appointment application queue for a result label of merging, checking and sorting.
Specifically, since the data of the item inspection types, the inspection positions and the like in the medical and technical inspection request sheets transmitted by each hospital information system are difficult to be unified, the data of the item inspection types and the inspection position data in the reservation service path queue need to be cleaned and converted to form unified standard data which can be recognized by the system, and then the inspection items applied by the patients are grouped according to the inspection types to form a patient inspection item type queue;
further, according to a preset check item merging rule and check equipment resource information corresponding to the check items, item specificity, check equipment, check parts and item groups in each check item type queue of the patient are sequentially matched through a rule-based algorithm until the check item type queue of the patient is completely calculated, and items of a result label and the same label are set as an appointment application queue.
Step 104: and matching the generated patient appointment application queue with corresponding optimal resources according to a preset strategy and a project resource matching rule.
Specifically, because some checking items have checking sequence requirements, each generated reservation application queue of the patient is sorted according to the item checking sequence rule set in the reservation rule base before the resources are matched, and if all reservation application queue items of the patient have no checking sequence requirements, the reservation application queue is queued according to the generating time sequence of the reservation application queue for resource matching calculation;
further, a resource scheduling set which is matched and matched with key information such as the type of an item in the patient reservation application queue, the examination time period requirement of the item, the order placing date and the like is extracted, wherein the examination time period requirement of the item in the reservation application queue of partial order combination is inconsistent, for example: some reservation application queues generated by ultrasonic category items with blank requirements and requiring examination between 8:00 and 10:00 a.m. and ultrasonic item orders with no requirements for examination time periods match resources according to the items with high requirements when retrieving resources. Meanwhile, the resource scheduling set is further verified and filtered by adopting an intelligent algorithm in combination with preset rules such as a project appointed examination room/equipment, a patient source, project cross-subject conflict, cross-subject rejection and the like until all reservation rules of the service type are verified and finished;
furthermore, when the patient reservation application queue resource matches with all the verification ends, the reservation application queue conforming to the automatic reservation service path determines resource scheduling with optimal resource time, and the reservation application queue not conforming to the automatic reservation service path recommends to medical staff or the patient with optimal resource time for confirmation.
Step 105: and finishing the appointment ordering according to the optimal resource matched and recommended for the patient appointment application queue and outputting an appointment scheduling queue to a hospital information system according to resource scheduling.
Specifically, the reservation application queue conforming to the automatic reservation service path completes ordering according to the recommended resource system, and confirms that ordering is completed by medical staff or patients if the ordering is approved by the medical staff or the patients, and inputs time requirements to re-match resources by the medical staff or the patients if the ordering is not approved by the medical staff or the patients.
Further, the generated reservation schedule records are obtained, the reservation schedule records are grouped and sorted according to the resource scheduling type and the reservation number sequence, and a reservation schedule queue is output to a Hospital Information System according to the resource scheduling, so as to lay a triage basis for the next diagnosis link, wherein the downstream Hospital Information System mainly comprises a Hospital Information System (HIS), a Hospital Information System integration platform, a medical image Information System (PACS), a Laboratory Information System (LIS), and a Radiology Information System (RIS).
Fig. 2 is a schematic flowchart illustrating an execution flow of step 103 in fig. 1 according to an embodiment of the present invention. The step 103 also provides an intelligent check reservation and order-sharing method based on a rule algorithm, and specifically, as shown in fig. 2, the implementation process of the step 103 includes the following steps:
step 10301: the examination type and the examination position data of the items in the patient appointment service path are extracted, cleaned and converted, and are associated with the standard dictionary of the basic library to form unified standard data which can be recognized by the intelligent examination appointment system based on the rule algorithm.
Step 10302: items in the reserved service path are grouped by examination type, and a patient item examination type queue is generated. The hospital examination type is generally classified into DR, CT, MRI, ultrasound examination, endoscopy, electrocardiographic examination, etc., and items in the patient reservation service path are split according to the examination type and patient examination type queues, such as a CT item queue, an ultrasound examination queue, etc., are generated.
Step 10303: and checking the specificity of the examination items in each group of queues of the patients according to a preset item merging rule.
Specifically, whether the items in each group of queues of the patients have special requirements or not is judged according to the special attributes and the merging rules of the items in the item base library, the items with the special requirements are labeled one by one to generate an appointment application queue, and the inspection items without the special requirements are continuously checked in the next step.
Step 10304: and checking the corresponding relation between the non-specific inspection items in each group of inspection type queues and the inspection rooms/equipment according to a preset item merging rule.
Specifically, whether the non-specific inspection items in each group of inspection type queues can be inspected in the same inspection room/equipment is judged according to the corresponding relation and the merging rule of the items and the inspection rooms/equipment in the item base library, the inspection items which cannot be inspected in the same inspection room/equipment are screened out, reservation application queues are generated for the inspection items one by one according to labels, and the inspection items corresponding to the same inspection room/equipment are continuously checked in the next step.
Step 10305: checking the checking part of the checking item corresponding to the same checking room/equipment in each group of queues according to a preset item merging rule.
Specifically, the examination part corresponding to the examination item of the same examination room/equipment in each group of queues is obtained, the same item of the examination part of each group of queues is judged to generate a reservation application queue for the label thereof, and if the CT examination is carried out while nasopharynx flat scanning, nasopharynx enhancement, chest flat scanning and chest enhancement, the nasopharynx flat scanning and nasopharynx enhancement reservation application queue is generated about 1 time, and the chest flat scanning and chest enhancement reservation application queue is generated about 1 time.
Step 10306: and checking the item groups of the non-identical inspection parts in each group of queues according to a preset item merging rule.
Specifically, group information of examination items of different examination parts in each group of queues is obtained, wherein the group definition defines a high-level group, a common group and a special group according to medical classification, for example, enhanced examination items in CT and MRI examinations are merged into the high-level group, flat-scan examination items are merged into the common group, brain perfusion CTP is merged into the special group, items belonging to the high-level group in each group of queues are judged, each item label is generated one by one and an appointment application queue is generated, for example, enhanced items at different parts in CT and MRI examinations cannot be singly and separately appointed.
Step 10307: and selecting a merged reservation application queue for the inspection items merged to the common group in each queue in the step according to a preset item merging rule.
Specifically, there are two cases in which the check items classified into the normal group in each group queue are selected when the merged reservation application queue is selected. If the reservation application queues of the high-class items with different inspection parts are generated in the step, the inspection items of the common class are averagely inserted into the reservation application queues of the high-class items at random; if no high-class examination items with different examination parts exist in the steps, the common class examination items in each group of queues are automatically merged to generate a reservation application queue, and the ordering of the examination items for applying for reservation for the same patient is finished.
Fig. 3 is a flowchart illustrating an execution of step 104 in fig. 1 according to an embodiment of the present invention. The step 104 also provides an intelligent checking reservation resource matching method based on a rule algorithm, and specifically, as shown in fig. 3, the implementation process of the step 104 includes the following steps:
step 10401: and completing resource matching execution sequencing of the patient appointment application queue according to a preset project resource matching rule, and sequentially executing resource matching on the appointment application queue according to the sequence.
Specifically, because some checking items have checking sequence requirements, each generated reservation application queue of the patient is sorted according to the item checking sequence rule set in the reservation rule base before the resources are matched, and if all reservation application queue items of the patient have no checking sequence requirements, the reservation application queue is queued according to the generating time sequence of the reservation application queue for resource matching calculation;
step 10402: and searching resource scheduling according to the examination type of the items in each group of reservation application queue, examination rooms/equipment corresponding to the items, examination time periods, application time and patient sources.
Specifically, a resource scheduling set is inquired by extracting the examination type of an item, examination room/equipment corresponding to the item, examination time period requirement of the item, application time and patient source information in a reservation application queue, wherein when the examination room/equipment corresponding to the item, examination time period requirement of the item and application time information are extracted from the reservation application queue generated by combining a plurality of items, common intersection part information is extracted, the examination time period requirement of the item does not require the examination time period for one item in the combined reservation application queue, and the resource scheduling is retrieved according to the intersection part condition required by the examination time period if one or more items have time period requirements. And when the application time of a plurality of projects is inconsistent, searching according to the latest application time condition in the projects.
Step 10403: and according to a preset project resource matching rule, verifying time conflicts among patient examination projects, and filtering out conflicting scheduling resources in the retrieved scheduling set. For CT enhancement and MRI enhancement examination, a hospital generally prolongs the time interval of two examinations as much as possible under the condition of not influencing the diagnosis and treatment of patients, and if the examination is scheduled every other day, the resource scheduling within the conflict time range is calculated and filtered according to a preset item examination time conflict rule.
Step 10404: and acquiring the matched resource scheduling set, and recommending scheduling resources for the reservation application queue from the matched resource scheduling set from the time optimal dimension.
Fig. 4 is a main block diagram of an intelligent check reservation system based on a rule algorithm according to an embodiment of the present invention. Referring to fig. 4, an embodiment of the present invention provides an intelligent check reservation system based on a rule algorithm, including:
the basic data dictionary module 401: the method is used for defining dictionary data containing examination items, examination equipment, examination types, examination departments and examination parts, and establishing a relational data model among the examination items, the examination equipment, the examination types, the examination departments and the examination parts.
Reservation rule base module 402: the rule base is used for specifically defining a project merging check and project resource matching corresponding to the check project merging list and the check project resource matching; a multi-dimensional appointment rule system is summarized and summarized through various modes such as medical expert interview, medical and technical department management system, diagnosis and treatment guide and the like. Based on medical skill examination items and basic data of equipment resources, rule factors and underlying basic logic are defined from aspects of medical knowledge, examination item requirements, equipment capacity, technician capacity, management requirements and the like, and the process and requirements of executable expression of rules are designed to lay a foundation for realizing intelligent automatic appointment of medical skill examination;
the resource scheduling management module 403: the resource scheduling and the basic scheduling are included; the resource scheduling management module is mainly used for arranging the use time of the inspection equipment and managing the equipment resources, different management modes can be selected for the inspection equipment according to different services, the management modes are number-based management and resource-based management, and the proper equipment resource management mode is selected according to the characteristics of the inspection services, so that the workload of technicians can be quantized more reasonably and the utilization rate of the equipment resources can be improved; the basic scheduling provides a resource scheduling basic template, so that a resource management department can complete resource scheduling quickly.
The application form receiving module 404: the hospital information system monitoring system is used for receiving a medical examination request form issued by the hospital information system, monitoring and reading medical examination advice data transmitted by the hospital information system in real time through the localization service, receiving the request form and storing the request form into an examination reservation application pool.
The reservation service module 405: the method comprises the steps of checking item merging calculation, reservation resource matching calculation, reservation ordering confirmation and reservation service API which apply for reservation; the examination project merging calculation is to calculate whether the examination projects applied by the patient can be merged and examined based on preset project examination merging rules, the examination projects which can be merged and examined generate a group of reservation application queues, the examination projects which cannot be merged respectively generate reservation application queues, the reservation application queues obtained by merging calculation are matched with corresponding optimal resources, and finally the examination project reservation ordering of the patient application is completed.
The appointment scheduler output module 406: and the system is used for outputting the generated appointment scheduling to a hospital information system, grouping and sorting all generated appointment scheduling records according to resource scheduling types and outputting the appointment scheduling records when the appointment scheduling information is output, and a triage basis is laid for the links before examination.
Claims (10)
1. An intelligent check reservation method based on a rule algorithm is characterized by comprising the following steps:
acquiring a hospital information system patient effective medical technical examination application form;
classifying medical advice items in the received patient examination request form in groups according to reservation service paths, and classifying the items in the patient examination request form according to examination item open reservation service path labels and generating an item reservation service path queue;
merging, checking and calculating items in the generated patient appointment service path according to a preset strategy and a checking item merging rule, and generating an appointment application queue for a merging and checking calculation result label;
matching the generated patient appointment application queue with corresponding optimal resources according to a preset strategy and a project resource matching rule;
and finishing the appointment ordering according to the optimal resource matched and recommended for the patient appointment application queue and outputting an appointment scheduling queue to a hospital information system according to resource scheduling.
2. The intelligent checking reservation method based on rule algorithm according to claim 1, characterized in that: distributing items in the patient examination request form into two groups of queues of an automatic reservation service path and a non-automatic reservation service path according to the item reservation service path label;
items according with the automatic reservation service path automatically enter the order distribution processing link at the payment completion node, and items of the non-automatic reservation service path are actively triggered by medical staff or patients to enter the order distribution processing link.
3. The intelligent checking reservation method based on rule algorithm according to claim 1, characterized in that: extracting item inspection types and position data, cleaning and converting the item inspection types and the position data, and establishing connection with a basic dictionary library to form data of a unified standard which can be recognized by a system;
grouping items in the reserved service path according to the examination type to generate a patient item examination type queue;
checking the specificity of the inspection items in each group of queues according to a preset strategy and an item merging rule, wherein if the inspection items have specificity, the labels are generated and a reservation application queue is generated, and if the inspection items do not have specificity, the corresponding relation between the items and an inspection room/equipment is checked;
checking the corresponding relation between the non-specific items in each group of queues and the inspection rooms/equipment according to a preset strategy and an item merging rule, wherein if each group of queues cannot correspond to the inspection items made on the same inspection room/equipment, a label is generated for the queues and reservation application queues are generated, and if each group of queues corresponds to the inspection items made on the same inspection room/equipment, the item inspection parts are checked;
checking the item checking parts corresponding to the same checking room/equipment in each group of queues according to a preset strategy and a merging rule, wherein the items of the same checking part in each group of queues are labeled and generate a reservation application queue, and the checking items of the non-same checking part in each group of queues are checked in the checking type group;
checking the inspection item groups of non-identical inspection parts in each group of queues according to a preset strategy and an item merging rule, wherein if the inspection items in each group of queues conform to the high-level group, each item label is generated one by one to generate a reservation application queue, and if the inspection items in each group of queues conform to the common group, the inspection items in each group of queues are selected and merged or the reservation application queue is generated.
4. The intelligent checking reservation method based on rule algorithm according to claim 1, characterized in that: according to a preset strategy and a project resource matching rule, completing resource matching execution sequencing of a patient reservation application queue, and sequentially executing resource matching on a reservation application queue, wherein if all items of the reservation application queue of the patient have no inspection sequence requirement, queuing is performed according to the sequence of the generation time of the reservation application queue, and if the items in the reservation application queue of the patient have inspection sequencing requirements, the items are firstly sequenced according to the combination of the item inspection sequence and the generation time of the reservation application queue;
searching resource scheduling according to the examination type of the items in each group of reservation application queues, examination rooms/equipment corresponding to the items, examination time periods, application time and patient sources;
according to a preset strategy and a project resource matching rule, verifying time conflicts among patient examination projects, and filtering out conflicting scheduling resources in the retrieved scheduling set;
and acquiring the retrieved scheduling resource set, and matching the scheduling resource with the optimal time for the reservation application queue.
5. An intelligent check reservation method based on rule algorithm according to claim 1 or 4, characterized in that: automatically finishing ordering according to the optimal resource matched by the system by the reservation application queue in the automatic reservation service path;
recommending the reservation application queue in the non-automatic reservation service path to medical personnel or patients for confirmation according to the optimal resource matched by the system, if the reservation application queue agrees, determining to finish ordering by the medical personnel or the patients, if the reservation application queue disagrees, inputting a specified check time condition by the medical personnel or the patients, and re-matching scheduling resources under the condition of adding the specified resources according to a preset strategy and a project resource matching rule;
and the generated reservation scheduling records are grouped and sequenced according to the resource scheduling type and the reservation number sequence, and output to a reservation scheduling queue according to the resource scheduling to a hospital information system, so that a triage basis is laid for the next treatment link.
6. An intelligent check reservation system based on rule algorithm is characterized in that: the intelligent examination reservation system includes:
basic data dictionary module: the system comprises a database, a database server and a database server, wherein the database server is used for defining dictionary data containing examination items, examination equipment, examination types, examination departments and examination parts and establishing a relational data model among the examination items, the examination equipment, the examination departments and the examination parts;
reservation rule base module: the rule base is used for specifically defining a project merging check and project resource matching corresponding to the check project merging list and the check project resource matching;
the resource scheduling management module: the method is used for scheduling the use of the inspection equipment and managing equipment resources;
the application form receiving module: the hospital information system monitoring system is used for receiving a medical examination request form issued by the hospital information system, monitoring and reading medical examination advice data transmitted by the hospital information system in real time through the localization service, receiving the request form and storing the request form into an examination appointment application pool;
a reservation service module: for implementing a subscription service;
an appointment scheduling output module: and the system is used for outputting the generated appointment scheduling to a hospital information system, grouping and sorting all generated appointment scheduling records according to resource scheduling types and outputting the appointment scheduling records when the appointment scheduling information is output, and a triage basis is laid for the links before examination.
7. The intelligent inspection reservation system based on rule algorithm of claim 6, wherein the basic data dictionary module comprises:
the basic data dictionary module comprises an inspection department dictionary, an inspection item dictionary, an inspection type dictionary, an inspection part dictionary and an inspection equipment dictionary;
the basic data dictionary module specifically defines a checking department, checking items, checking types, checking parts, checking equipment dictionaries and establishes a relation data model between the dictionaries.
8. The intelligent inspection reservation system based on rule algorithm of claim 6, wherein the reservation rule base module specifically comprises:
the reservation rule base module comprises a preset strategy unit and a rule unit;
the preset strategy unit is used for defining reservation strategy schemes corresponding to various inspection types, each strategy scheme comprises a strategy triggering condition and a specific strategy, and the specific strategy at least comprises one rule or a plurality of rule combinations;
the rule unit is used for defining specific rules including item merging check and item resource matching corresponding to the check item merging list and the check item resource matching;
and the appointment rule base module is used for utilizing a rule engine to match corresponding optimal resources for the patient appointment examination items based on the appointment rule base.
9. The intelligent checking reservation system based on rule algorithm as claimed in claim 6, wherein the resource scheduling management module specifically comprises:
the resource scheduling management module comprises a resource scheduling unit and a basic scheduling unit;
the resource scheduling unit is mainly used for scheduling the use time of the inspection equipment and managing the equipment resources, provides two management modes of number-based management and resource-based management, and can select a proper management mode for the equipment aiming at different inspection services;
the basic scheduling unit provides a resource scheduling basic template, and the resource scheduling work can be quickly finished by directly calling the resource basic scheduling template and setting the scheduling date when the equipment resources are scheduled.
10. The intelligent inspection reservation system based on rule algorithm according to claim 6 or 9, wherein the reservation service module specifically comprises:
the reservation service module comprises a rule-based check item merging, resource matching calculation, reservation ordering service and a reservation service API;
the rule-based inspection project merging and resource matching calculation refers to that a rule engine is used for performing merging calculation on the basis of a reservation rule base for the reservation inspection projects of the patient and matching corresponding optimal resources;
the appointment ordering service is to complete the appointment ordering of the examination items applied by the patients on the optimal resources matched and recommended by the system to form a schedule;
the reservation service API is used for opening a reservation service to a third party developer.
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