CN111540452A - Preoperative fasting time processing method, device, computer equipment and storage medium - Google Patents
Preoperative fasting time processing method, device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN111540452A CN111540452A CN202010315360.6A CN202010315360A CN111540452A CN 111540452 A CN111540452 A CN 111540452A CN 202010315360 A CN202010315360 A CN 202010315360A CN 111540452 A CN111540452 A CN 111540452A
- Authority
- CN
- China
- Prior art keywords
- patient
- time
- surgical
- statistical
- preoperative
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
Abstract
The application relates to a method, a device, a computer device and a storage medium for processing preoperative fasting time. The method comprises the following steps: obtaining a target surgical type for a first patient; selecting a statistical operation duration corresponding to the target operation type from a preset operation duration statistical table, and taking the selected statistical operation duration as the target operation duration of the first patient; the operation duration statistical table comprises the corresponding relation between the operation type and the statistical operation duration; determining a preoperative fasting time for a second patient based on the target surgical length; the surgical sequence of the second patient is subsequent to the surgical sequence of the first patient; sending the preoperative fasting time to terminal equipment; the terminal device is associated with the second patient. By adopting the method, the control efficiency of preoperative fasting time can be improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for processing a preoperative fasting time, a computer device, and a storage medium.
Background
Preoperative fasting is understood to mean that food (solid food such as rice, liquid food such as water and milk) needs to be prohibited before a patient is subjected to surgery. In the relevant guidelines for preoperative fasting it is stated how long before surgery patients should be prohibited from eating food. After roughly estimating patient's operation start time, the doctor further confirms the fasting time before the corresponding art to remind by medical personnel, lead to medical resources to be occupied, reduce the efficiency of carrying out the management and control to fasting time before the art.
Disclosure of Invention
In view of the above, it is necessary to provide a preoperative fasting time processing method, device, computer device and storage medium capable of improving management and control efficiency of preoperative fasting time in view of the above technical problems.
In a first aspect, there is provided a method of pre-operative fasting time management, the method comprising:
obtaining a target surgical type for a first patient;
selecting a statistical operation duration corresponding to the target operation type from a preset operation duration statistical table, and taking the selected statistical operation duration as the target operation duration of the first patient; the operation duration statistical table comprises the corresponding relation between the operation type and the statistical operation duration;
determining a preoperative fasting time for a second patient based on the target surgical length; the surgical sequence of the second patient is subsequent to the surgical sequence of the first patient;
sending the preoperative fasting time to terminal equipment; the terminal device is associated with the second patient.
In one embodiment, the receiving and collecting device sends a duration change instruction for the first patient;
analyzing the operation duration changing instruction to obtain the changing time of the operation duration;
updating a preoperative fasting time for the second patient based on the change time;
and sending the updated preoperative fasting time to the terminal equipment.
In one embodiment, the step of updating the preoperative fasting time of the second patient based on the changed time includes:
if the change time is an extension time; increasing the preoperative fasting time according to the extended time, and taking the increased preoperative fasting time as the updated preoperative fasting time; the extension time is obtained by the acquisition equipment according to an extension trigger operation.
In one embodiment, the step of updating the preoperative fasting time of the second patient based on the changed time includes:
if the change time is a shortened time, shortening the preoperative fasting time according to the shortened time, and taking the shortened preoperative fasting time as the updated preoperative fasting time; the shortened time is obtained by the acquisition device according to a shortened trigger operation.
In one embodiment, surgical statistics are obtained; the surgical statistics include surgical types and actual surgical durations for a plurality of patients;
analyzing and counting the operation statistical information to obtain the statistical operation duration of different operation types;
and constructing the operation duration statistical table according to the statistical operation duration and the corresponding operation type.
In one embodiment, the step of performing analysis statistics on the surgical statistical information includes:
performing mean and root mean square statistics on the surgical statistics.
In one embodiment, the step of performing analysis statistics on the surgical statistical information includes: counting the operation statistical information by using an artificial intelligence algorithm; the artificial intelligence algorithm includes at least one of a cluster analysis, an artificial neural network, and a fuzzy algorithm.
In one embodiment, the step of obtaining surgical statistics includes:
after receiving an operation completion instruction sent by acquisition equipment, taking the target operation type and the actual operation duration of the first patient as operation statistical information; the surgical completion instruction is directed to the first patient.
In one embodiment, the step of determining a preoperative fasting time for a second patient based on the target surgical length includes:
acquiring preset fasting time;
performing a difference between the fasting duration and the target surgical duration to obtain a preoperative fasting time for the second patient.
In a second aspect, there is provided a device for processing a preoperative fasting time, the device comprising:
a surgical type acquisition module for acquiring a target surgical type of a first patient;
the operation duration determining module is used for selecting the statistical operation duration corresponding to the target operation type from a preset operation duration statistical table, and taking the selected statistical operation duration as the target operation duration of the first patient; the operation duration statistical table comprises the corresponding relation between the operation type and the statistical operation duration;
a preoperative fasting time determination module for determining a preoperative fasting time of a second patient according to the target surgical length; the surgical sequence of the second patient is subsequent to the surgical sequence of the first patient;
the preoperative fasting time sending module is used for sending the preoperative fasting time to terminal equipment; the terminal device is associated with the second patient.
In a third aspect, a computer device is provided, comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
obtaining a target surgical type for a first patient;
selecting a statistical operation duration corresponding to the target operation type from a preset operation duration statistical table, and taking the selected statistical operation duration as the target operation duration of the first patient; the operation duration statistical table comprises the corresponding relation between the operation type and the statistical operation duration;
determining a preoperative fasting time for a second patient based on the target surgical length; the surgical sequence of the second patient is subsequent to the surgical sequence of the first patient;
sending the preoperative fasting time to terminal equipment; the terminal device is associated with the second patient.
In a fourth aspect, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
obtaining a target surgical type for a first patient;
selecting a statistical operation duration corresponding to the target operation type from a preset operation duration statistical table, and taking the selected statistical operation duration as the target operation duration of the first patient; the operation duration statistical table comprises the corresponding relation between the operation type and the statistical operation duration;
determining a preoperative fasting time for a second patient based on the target surgical length; the surgical sequence of the second patient is subsequent to the surgical sequence of the first patient;
sending the preoperative fasting time to terminal equipment; the terminal device is associated with the second patient.
The server obtains the target operation type of the first patient, obtains the target operation time of the first patient according to the corresponding relation between the operation type and the statistical operation time in the operation time statistical table, further determines the preoperative fasting time of the second patient, and sends the preoperative fasting time of the second patient to the terminal device associated with the second patient, so that related personnel can timely obtain the preoperative time, unordered medical personnel remind the patients, and the preoperative fasting time control efficiency is improved.
Drawings
FIG. 1 is a diagram illustrating an exemplary application of a preoperative fasting time treatment method;
FIG. 2 is a schematic flow chart illustrating the processing of preoperative fasting time in one embodiment;
FIG. 3 is a graph illustrating the updating of preoperative fasting time in one embodiment;
fig. 4 is a block diagram illustrating a structure of a preoperative fasting time processing device according to an embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Reference in this application to "first/second", "target", etc. means to distinguish between different objects, e.g. in case of multiple patients, a first patient, a second patient, a third patient, etc. may be used for distinguishing, correspondingly, the type of surgery of the first patient may be referred to as the target type of surgery or the first type of surgery; the manner in which the patient and the type of procedure are distinguished may also be by way of characters, such as by lower case letters in english ("ABCD …") to distinguish the patient and upper case letters in english ("ABCD …") to distinguish the type of procedure. This should not be construed as limiting the treatment regimen for preoperative fasting time provided herein.
The method for processing the preoperative fasting time provided by the application can be applied to the application environment as shown in fig. 1. The server and the terminal equipment are communicated through a network. The server selects a statistical operation duration corresponding to a target operation type from a preset operation duration statistical table after acquiring the target operation type of a first patient, the selected statistical operation duration is used as the target operation duration of the first patient, preoperative fasting time of a second patient is determined according to the target operation duration, and the preoperative fasting time is sent to terminal equipment associated with the second patient, wherein the operation duration statistical table contains the corresponding relation between the operation type and the statistical operation duration, and the operation sequence of the second patient is behind the operation sequence of the first patient. The server can be implemented by an independent server or a server cluster consisting of a plurality of servers; the terminal device associated with the second patient may include a mobile phone, a computer, a portable wearable device, and the like of the second patient himself, or may include a mobile phone, a computer, a portable wearable device, and the like of a family member, a doctor, and the like of the second patient.
In one embodiment, as shown in fig. 2, a method for processing a preoperative fasting time is provided, which is illustrated by applying the method to the server in fig. 1, and includes the following steps:
step S202, a target surgery type of a first patient is acquired.
Wherein, each patient has a corresponding operation type, and the operation types of different patients can be the same or different; the operation type of the patient may be stored in an operation shift table, and correspondingly, in the operation shift table, there is a correspondence relationship between the patient and the operation type, as shown in table 1.
The surgical shift schedule can be stored in a data storage device, and the data storage device can be a database, or a memory of a server or a storage application (such as Excel, Access, and the like); the operation scheduling list can be generated through an operation scheduling application program, and the database can acquire the operation scheduling list from the operation scheduling application program and store the operation scheduling list; the server may obtain the surgical shift schedule by calling the surgical shift schedule software, and store the surgical shift schedule in its own memory or storage application (e.g., Excel, Access, etc.). If the operation scheduling list is stored in the memory or the storage application of the server, the server can directly call the operation type of the patient in the operation scheduling list from the operation scheduling list; if the operation scheduling list is stored in the database, the server can generate an operation type obtaining request and send the operation type obtaining request to the database, after the database receives the operation type obtaining request, the operation type obtaining request is analyzed to determine a corresponding patient, the operation type of the corresponding patient is determined from the operation scheduling list, and the determined operation type is sent to the server; if the operation scheduling list is stored in the database, the server can also generate an operation scheduling list acquisition request, the operation scheduling list acquisition request is used for triggering the database to return the operation scheduling list to the server, the server stores the operation scheduling list in a memory of the server after receiving the operation scheduling list returned by the database, and at the moment, the server can directly acquire the operation type of the corresponding patient from the memory of the server.
TABLE 1 operation team-arranging watch
| Surgical sequence | Patient's health | Type of operation |
| 1 | a | A |
| 2 | b | B |
| 3 | c | C |
| 4 | d | D |
| … | … | … |
Step S204, selecting the statistical operation duration corresponding to the target operation type from a preset operation duration statistical table, and taking the selected statistical operation duration as the target operation duration of the first patient; the operation duration statistical table comprises the corresponding relation between the operation type and the statistical operation duration.
The operation duration can be understood as a time point (such as 12 points), and can also be understood as a time period (such as 2 hours); table 2 shows a surgical length statistical table, in which the surgical length statistical table may include a correspondence between the surgical type and the statistical surgical length; in the process of performing the operation on each patient, the actual completion time of the operation can be called as the actual operation duration; the statistical operation duration can be obtained by performing statistical analysis on the actual operation durations of a plurality of patients, and the patients performing the statistical analysis can be patients corresponding to the same operation type. The operation duration statistical table may be stored in the memory of the server itself, or may be stored in the database, and the corresponding processing manner may refer to the description of processing the operation scheduling table in step S202, which is not described herein.
In this step, taking the target operation type of the first patient as an example a, the following steps are performed: after the server determines that the operation type of the first patient is A, the server can determine that the statistical operation duration corresponding to the operation type A is T according to the operation duration statistical tableAThe determined statistical operation duration TAAs a target surgical length for the first patient.
TABLE 2 statistical table of operation duration
| Type of operation | Counting the operation duration |
| A | TA |
| B | TB |
| C | TC |
| D | TD |
| … | … |
Step S206, determining preoperative fasting time of a second patient according to the target operation duration; the surgical sequence for the second patient follows the surgical sequence for the first patient.
Wherein the preoperative fasting time may be expressed in terms of time points, such as 8 points; as shown in table 1, the surgical order of the patients may be stored in a surgical shift table, the surgical order of the second patient is after the first patient, for example, the second patient is C, then the first patient may refer to at least one of patient B and patient a, that is, in some cases, the first patient may include a plurality of patients whose surgical order precedes the surgical order of the second patient, at which time the first patient may include a plurality of patients; the preoperative fasting time is used to characterize that the second patient is prohibited from eating after the corresponding time point, for example, the preoperative fasting time is 8 points, and then the second patient is prohibited from eating rice, water and other food after 8 points.
In this step, taking the operation duration as an example of the time point, the server determines the preoperative fasting time of the second patient by: the server may obtain a preset fasting time length after determining that the target operation time point of the first patient is the target operation time point, and perform difference processing between the fasting time length and the target operation time point, for example, subtracting the fasting time length from the target operation time point, and taking the obtained difference value as the preoperative fasting time of the second patient; wherein the fasting duration may be understood as a standard fasting duration before an operation, for example, a preoperative fasting duration suggested by the relevant guidelines is "2 hours", if the target operation time point of the first patient is 10 points, 8 points obtained by subtracting the fasting duration from the target operation time point are a preoperative fasting time of the second patient; the fasting time period may include a plurality of times, each fasting time period corresponding to different kinds of food, for example, the international anesthesia guidelines stipulate that solid food is prohibited from being taken 8 hours before a procedure, liquid food such as milk powder is prohibited from being taken 6 hours before a procedure, liquid food such as human milk is prohibited from being taken 4 hours before a procedure, clear liquid such as water is prohibited from being taken 2 hours before a procedure, and thus, the fasting time period may include: 8 hours, 6 hours, 4 hours and 2 hours, each fasting period corresponding to a different kind of food; it is understood that when the fasting time period is plural, the preoperative fasting time of the patient is plural, and each preoperative fasting time corresponds to different kinds of food.
If the surgical duration is a time period, the method for the server to determine the preoperative fasting time of the second patient may include: the server acquires the operation start time, the target operation time period and the fasting time period of the first patient, adds the operation start time and the target operation time period, then subtracts the obtained sum value and the fasting time period to obtain the preoperative fasting time of the second patient, for example, the operation start time of the first patient is 8 points, the target operation time period is 2 hours, the sum value obtained by adding the operation start time and the target operation time period is 10 points, then the sum value of 10 points and the fasting time period (2 hours) are subtracted, and the obtained preoperative fasting time of the second patient is 8 points.
In some scenarios, if the number of patients included in the first patient is multiple, the server may process the target operation duration of the first patient according to a preset model to obtain a preoperative fasting time of the second patient, where the preset model may be
In the predetermined model, TiRepresents the preoperative fasting time, T, of the i-th patient0Represents the time of the start of the surgery for the first patient,
representing a target surgical length, T, of a first patientmRepresents a fasting period, wherein the target operation period of the first patient
Is T1+T2+...+Ti-1That is, the target surgical length for the first patient includes statistical surgical lengths for a plurality of patients (1 st to i-1 st patients).
Step S208, sending preoperative fasting time to the terminal equipment; the terminal device is associated with a second patient.
The terminal device can be a device with a reminding function, and the reminding mode can be screen display, voice playing and the like; the terminal device may include one or more devices associated with the second patient, wherein the devices associated with the second patient may include, but are not limited to: a mobile phone, a computer or a smart watch of the second patient, a mobile phone, a computer or a smart watch of a family member of the second patient, a mobile phone, a computer or a smart watch of a medical worker related to the operation of the second patient, and the like; after the second patient or the family of the second patient has knowledge of the pre-operative fasting time, fasting may be performed at the pre-operative fasting time; after medical personnel know preoperative fasting time, can carry out the propaganda and education before the art to the patient to carry out the operation and prepare, improve operation efficiency, sparingly diagnose the resource.
In this step, after obtaining the preoperative fasting time of the second patient according to the target operation duration of the first patient, the server may send the preoperative fasting time of the second patient to the terminal devices such as mobile phones of the second patient and family members of the second patient, and after receiving the preoperative fasting time, the terminal device may remind the second patient or the family members of the second patient of the preoperative fasting time by means of screen display or voice playing. If there are a plurality of preoperative fasting times, the server may transmit each preoperative fasting time and the corresponding food type prohibited from being eaten to the terminal device, and the terminal device displays the preoperative fasting time and the corresponding food type.
In the conventional method for processing preoperative fasting time, after the surgery start time of a patient is roughly estimated by a doctor, the corresponding preoperative fasting time is further determined and is reminded by medical staff, personalized reminding for the patient is difficult to achieve, medical resources are occupied, unreasonable distribution of the medical resources is caused, and the control efficiency of preoperative fasting time is reduced.
In the processing method of the preoperative fasting time, after the server obtains the target operation type of the first patient, the target operation time of the first patient is obtained according to the corresponding relation between the operation type and the statistical operation time in the operation time statistical table, the preoperative fasting time of the second patient is further determined, and the preoperative fasting time of the second patient is sent to the terminal equipment associated with the second patient, so that related personnel can obtain the preoperative fasting time in time, disordered medical personnel remind patients, and the preoperative fasting time control efficiency is improved.
In some embodiments, after the server obtains the preoperative fasting time for the patient, the preoperative fasting time may be combined with a surgical shift schedule, which is constructed to obtain a preoperative fasting time schedule, as shown in table 3. It is understood that the preoperative fasting schedule may also include categories such as patient age, identification number, phone number, operation date, etc.
TABLE 3 preoperative fasting schedule
| Surgical sequence | Patient's health | Type of operation | Preoperative fasting time |
| 1 | a | A | Ta |
| 2 | b | B | Tb |
| 3 | c | C | Tc |
| 4 | d | D | Td |
| … | … | … | … |
The operation duration statistical table can store corresponding relations between different operation types and the statistical operation duration, and in order to enable the statistical operation duration to be more universal, the server can perform statistical analysis on the actual operation durations of a plurality of patients when constructing the operation duration statistical table to obtain the statistical operation duration; specifically, the server may obtain the operation types and the actual operation durations of a plurality of patients from the operation anesthesia system, analyze and count the operation statistical information using the obtained operation types and the actual operation durations of the plurality of patients as operation statistical information, obtain different types of statistical operation durations, store the statistical operation durations and the corresponding operation types in an operation duration statistical table, and store the corresponding relations between the operation types and the statistical operation durations in the obtained operation duration statistical table.
In some scenarios, the specific situation of the patients of the same operation type is different, as shown in table 3, all three patients correspond to the operation type a, but the basic information (such as sex, age, past medical history, blood type and anesthesiologist) of each patient is different, as shown in table 4, for example, Lily, Bob and John are all the operation type a, but other basic information is different, if the statistical operation duration of the patients is T according to the operation type only, and if the statistical operation duration of the patients is TALeading to inaccurate preoperative fasting time; based on this, in order to improve the accuracy of the preoperative fasting time, the server may further subdivide the same operation type according to the basic information of the patient to obtain operation subclasses, and then analyze and count the actual operation time of each operation subclass to obtain the statistical operation duration corresponding to the operation subclass, where the basic information of the patient includes, but is not limited to: sex, age, past medical history, blood type and anesthesiologist of the patient.
TABLE 4 basic information of patients
| Patient's health | Sex | Age (age) | Past medical history | Blood type | Type of operation |
| Lily | Woman | 24 | Is free of | O type | A |
| Bob | For male | 45 | Is provided with | Type A | A |
| John | For male | 78 | Is provided with | O type | A |
The manner of acquiring the statistical operation time by the server may be:
(1) transmitting the statistical operation time by the acquisition terminal: after analyzing the basic information and the actual operation time of the patient, the doctor and other personnel input the statistical operation time corresponding to the operation type at the acquisition terminal, and after receiving the statistical operation time input by the relevant personnel, the acquisition terminal sends the statistical operation time to the server;
(2) and performing statistical processing on the operation statistical information according to a statistical method to obtain: after the server obtains the operation statistical information, the operation statistical information is processed by using statistical methods such as mean value, root mean square and the like or statistical software such as SPSS and the like to obtain statistical operation time;
(3) processing the operation statistical information according to an artificial intelligence algorithm to obtain: after the server obtains the operation statistical information, the server processes the operation statistical information by using an artificial intelligence algorithm of at least one of cluster analysis, an artificial neural network and a fuzzy algorithm to obtain the statistical operation time.
In some scenarios, to further improve accuracy of preoperative fasting time, the server may also update surgical statistics; specifically, the server may obtain the surgical statistic information from the database according to a preset update period (e.g., one day, one month, or one year), use the obtained surgical statistic information as the updated surgical statistic information, and analyze the updated surgical statistic information to obtain an updated statistical surgical time, thereby obtaining a more accurate preoperative fasting time.
In some scenarios, if the preset update period is one day, the server may use the actual operation duration of the first patient as the operation statistical information after the first patient completes the operation, so as to achieve the effect of updating in real time and improve the accuracy of the preoperative fasting time; specifically, after the surgery of the first patient is completed, a doctor and other personnel can input a surgery completion instruction into the acquisition device, the acquisition device responds to the surgery completion instruction, loads the target surgery type and the actual surgery duration of the first patient into a surgery completion request, and sends the surgery completion request to the server; after receiving the operation completion request, the server analyzes the operation completion request to obtain a target operation type and actual operation duration of the first patient, and updates the operation duration counted by using the target operation type and the actual operation duration as operation statistical information. It can be understood that, after the second patient completes the operation, the server may also update the statistical operation duration by using the operation type and the actual operation duration of the second patient as the operation statistical information.
Fig. 3 shows a schematic diagram of updating preoperative fasting time in one embodiment. The corresponding scenario is described by taking patient d as the second patient and patients a, b and c as the first patient: in this scenario, the following may occur: (1) the actual operative time of patient a is extended, (2) the operation of patient f is added before the operation of patient d (which may be considered the first patient because of the prior operative sequence of patient f), (3) the operation of patient d is cancelled, (4) the actual operative time of patient d is shortened, which all result in a modification of the preoperative fasting time of patient d. In order to allow patient d to know the modified preoperative fasting time in time, the present application provides a method of processing preoperative fasting time.
Specifically, after receiving operation duration change operation input by related personnel, the acquisition equipment responds to the operation, loads the change time of the operation duration into an operation duration change instruction and sends the change time to a server; the server analyzes the operation duration b change instruction after receiving the operation duration change instruction sent by the acquisition equipment to obtain the change time of the operation duration, updates preoperative fasting time of a second patient according to the change time, and sends the updated preoperative fasting time to the terminal equipment; and after receiving the updated preoperative fasting time, the terminal equipment reminds the corresponding patient in a reminding mode of screen display or voice playing and the like.
Among them, in the above case resulting in the modification of the preoperative fasting time delivery of the patient d, the (1) and (2) cases may be regarded as the case of extending the preoperative fasting time (if the preoperative fasting time is represented in the form of a time point, extending the preoperative fasting time is equivalent to delaying the preoperative fasting time point), and the (3) and (4) cases may be regarded as the case of shortening the preoperative fasting time (if the preoperative fasting time is represented in the form of a time point, shortening the preoperative fasting time is equivalent to advancing the preoperative fasting time point). Thus, the server may perform different treatments for the case of extending and shortening preoperative fasting time:
specifically, in the case of prolonging the preoperative fasting time, operations input by relevant personnel, such as adding a patient operation or prolonging the actual operation duration of the patient, can be used as an extension trigger operation, and after receiving the extension trigger operation, the acquisition device loads the extension time into the operation duration change instruction and sends the extension time to the server; the server obtains the extension time after analyzing the operation duration changing instruction, adds the extension time and the preoperative fasting time, increases the preoperative fasting time, takes the increased preoperative fasting time as the updated preoperative fasting time, and sends the updated preoperative fasting time to the terminal device.
Specifically, in the case of shortening the preoperative fasting time, operations input by relevant personnel, such as canceling a patient operation or shortening the actual operation time of the patient, can be used as a shortening trigger operation, and after receiving the shortening trigger operation, the acquisition device loads the shortening time into the operation time change instruction and sends the shortening time to the server; the server obtains the shortening time after analyzing the operation duration changing instruction, performs subtraction processing on the shortening time and the preoperative fasting time, shortens the preoperative fasting time, uses the shortened preoperative fasting time as updated preoperative fasting time, and sends the updated preoperative fasting time to the terminal device.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
In one embodiment, as shown in fig. 4, there is provided a pre-operative fasting time processing apparatus 400 comprising: a procedure type acquisition module 402, a procedure duration determination module 404, a preoperative fasting time determination module 406, and a preoperative fasting time transmission module 408, wherein:
a procedure type acquisition module 402 for acquiring a target procedure type of a first patient;
a surgical length determining module 404, configured to select a statistical surgical length corresponding to the target surgical type from a preset surgical length statistical table, and use the selected statistical surgical length as a target surgical length of the first patient; the operation duration statistical table comprises the corresponding relation between the operation type and the statistical operation duration;
a preoperative fasting time determination module 406 for determining a preoperative fasting time of the second patient based on the target surgical length; the surgical sequence for the second patient is subsequent to the surgical sequence for the first patient;
a preoperative fasting time sending module 408, configured to send preoperative fasting time to the terminal device; the terminal device is associated with a second patient.
In one embodiment, the preoperative fasting time processing device 400 is further configured to receive a command of the acquisition device to send a duration change instruction for the first patient; analyzing the operation duration changing instruction to obtain the changing time of the operation duration; updating a preoperative fasting time for the second patient based on the change time; and sending the updated preoperative fasting time to the terminal equipment.
In one embodiment, the preoperative fasting time processing device 400 is further configured to increase the preoperative fasting time according to the extension time if the change time is the extension time, and use the increased preoperative fasting time as the updated preoperative fasting time; the extension time is obtained by the acquisition device according to an extension trigger operation.
In one embodiment, preoperative fasting time processing device 400 is further configured to shorten the preoperative fasting time based on the shortened time if the time is changed to the shortened time, and take the shortened preoperative fasting time as an updated preoperative fasting time; the shortened time is obtained by the acquisition device according to the shortened trigger operation.
In one embodiment, the preoperative fasting time processing device 400 is further configured to obtain surgical statistics; the operation statistical information comprises operation types and actual operation time lengths of a plurality of patients; analyzing and counting the operation statistical information to obtain the statistical operation duration of different operation types; and constructing a surgical duration statistical table according to the statistical surgical duration and the corresponding surgical type.
In one embodiment, the preoperative fasting time processing device 400 is further configured to perform mean and root mean square statistics on the surgical statistics;
in one embodiment, the preoperative fasting time processing device 400 is further configured to perform statistics on surgical statistics using an artificial intelligence algorithm; the artificial intelligence algorithm includes at least one of a cluster analysis, an artificial neural network, and a fuzzy algorithm.
In one embodiment, the preoperative fasting time processing device 400 is further configured to use the target operation type and the actual operation duration of the first patient as the operation statistical information after receiving the operation completion instruction sent by the acquisition device; the surgical completion instruction is directed to a first patient.
In one embodiment, the preoperative fasting time processing device 400 is further configured to obtain a preset fasting time period; a difference is made between the fasting duration and the target surgical duration to obtain a preoperative fasting time for the second patient.
Specific limitations of the treatment device regarding preoperative fasting time can be found in the above limitations of the treatment method regarding preoperative fasting time, and are not described herein again. The modules in the preoperative fasting time processing device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store processing data of pre-operative fasting times. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of pre-operative fasting time processing.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
obtaining a target surgical type for a first patient;
selecting a statistical operation duration corresponding to the target operation type from a preset operation duration statistical table, and taking the selected statistical operation duration as the target operation duration of the first patient; the operation duration statistical table comprises the corresponding relation between the operation type and the statistical operation duration;
determining a preoperative fasting time for the second patient based on the target surgical length; the surgical sequence for the second patient is subsequent to the surgical sequence for the first patient;
sending preoperative fasting time to terminal equipment; the terminal device is associated with a second patient.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
receiving a surgical duration change instruction sent by acquisition equipment for a first patient;
analyzing the operation duration changing instruction to obtain the changing time of the operation duration;
updating a preoperative fasting time for the second patient based on the change time;
and sending the updated preoperative fasting time to the terminal equipment.
In one embodiment, the processor, when executing the computer program, further performs the steps of: if the time is changed to be the extension time, increasing preoperative fasting time according to the extension time, and taking the increased preoperative fasting time as updated preoperative fasting time; the extension time is obtained by the acquisition device according to an extension trigger operation.
In one embodiment, the processor, when executing the computer program, further performs the steps of: if the time is changed to be shortened, shortening preoperative fasting time according to the shortened time, and taking the shortened preoperative fasting time as updated preoperative fasting time; the shortened time is obtained by the acquisition device according to the shortened trigger operation.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring operation statistical information; the operation statistical information comprises operation types and actual operation time lengths of a plurality of patients;
analyzing and counting the operation statistical information to obtain the statistical operation duration of different operation types;
and constructing a surgical duration statistical table according to the statistical surgical duration and the corresponding surgical type.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and performing mean and root mean square statistics on the operation statistical information.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
counting the operation statistical information by using an artificial intelligence algorithm; the artificial intelligence algorithm includes at least one of a cluster analysis, an artificial neural network, and a fuzzy algorithm.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
after receiving an operation completion instruction sent by the acquisition equipment, taking the target operation type and the actual operation duration of the first patient as operation statistical information; the surgical completion instruction is directed to a first patient.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring preset fasting time; a difference is made between the fasting duration and the target surgical duration to obtain a preoperative fasting time for the second patient.
It should be noted that, the steps executed by the processor in the computer device correspond to the preoperative fasting time processing method of the present application, and the contents and corresponding technical effects described in the embodiments of the preoperative fasting time processing method are all applicable to the embodiments of the computer device, and are not described herein again.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
obtaining a target surgical type for a first patient;
selecting a statistical operation duration corresponding to the target operation type from a preset operation duration statistical table, and taking the selected statistical operation duration as the target operation duration of the first patient; the operation duration statistical table comprises the corresponding relation between the operation type and the statistical operation duration;
determining a preoperative fasting time for the second patient based on the target surgical length; the surgical sequence for the second patient is subsequent to the surgical sequence for the first patient;
sending preoperative fasting time to terminal equipment; the terminal device is associated with a second patient.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
receiving a surgical duration change instruction sent by acquisition equipment for a first patient;
analyzing the operation duration changing instruction to obtain the changing time of the operation duration;
updating a preoperative fasting time for the second patient based on the change time;
and sending the updated preoperative fasting time to the terminal equipment.
In one embodiment, the processor, when executing the computer program, further performs the steps of: if the time is changed to be the extension time, increasing preoperative fasting time according to the extension time, and taking the increased preoperative fasting time as updated preoperative fasting time; the extension time is obtained by the acquisition device according to an extension trigger operation.
In one embodiment, the processor, when executing the computer program, further performs the steps of: if the time is changed to be shortened, shortening preoperative fasting time according to the shortened time, and taking the shortened preoperative fasting time as updated preoperative fasting time; the shortened time is obtained by the acquisition device according to the shortened trigger operation.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring operation statistical information; the operation statistical information comprises operation types and actual operation time lengths of a plurality of patients;
analyzing and counting the operation statistical information to obtain the statistical operation duration of different operation types;
and constructing a surgical duration statistical table according to the statistical surgical duration and the corresponding surgical type.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
the surgical statistics are averaged and squared.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
counting the operation statistical information by using an artificial intelligence algorithm; the artificial intelligence algorithm includes at least one of a cluster analysis, an artificial neural network, and a fuzzy algorithm.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
after receiving an operation completion instruction sent by the acquisition equipment, taking the target operation type and the actual operation duration of the first patient as operation statistical information; the surgical completion instruction is directed to a first patient.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring preset fasting time; a difference is made between the fasting duration and the target surgical duration to obtain a preoperative fasting time for the second patient.
It should be noted that, the steps executed by the processor in the computer device correspond to the preoperative fasting time processing method of the present application, and the contents and corresponding technical effects described in the embodiments of the preoperative fasting time processing method are all applicable to the embodiments of the computer device, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of pre-operative fasting time management, comprising:
obtaining a target surgical type for a first patient;
selecting a statistical operation duration corresponding to the target operation type from a preset operation duration statistical table, and taking the selected statistical operation duration as the target operation duration of the first patient; the operation duration statistical table comprises the corresponding relation between the operation type and the statistical operation duration;
determining a preoperative fasting time for a second patient based on the target surgical length; the surgical sequence of the second patient is subsequent to the surgical sequence of the first patient;
sending the preoperative fasting time to terminal equipment; the terminal device is associated with the second patient.
2. The method of claim 1, further comprising:
receiving a surgical length change instruction sent by a collection device for the first patient;
analyzing the operation duration changing instruction to obtain the changing time of the operation duration;
updating a preoperative fasting time for the second patient based on the change time;
and sending the updated preoperative fasting time to the terminal equipment.
3. The method of claim 2,
the step of updating the preoperative fasting time of the second patient according to the change time includes:
if the change time is an extension time; increasing the preoperative fasting time according to the extended time, and taking the increased preoperative fasting time as the updated preoperative fasting time; the extension time is obtained by the acquisition equipment according to extension trigger operation;
and/or the presence of a gas in the gas,
if the change time is a shortened time, shortening the preoperative fasting time according to the shortened time, and taking the shortened preoperative fasting time as the updated preoperative fasting time; the shortened time is obtained by the acquisition device according to a shortened trigger operation.
4. The method of claim 1, further comprising:
acquiring operation statistical information; the surgical statistics include surgical types and actual surgical durations for a plurality of patients;
analyzing and counting the operation statistical information to obtain the statistical operation duration of different operation types;
and constructing the operation duration statistical table according to the statistical operation duration and the corresponding operation type.
5. The method of claim 4, wherein the step of performing analytical statistics on the surgical statistics comprises:
performing mean and root mean square statistics on the surgical statistical information;
and/or the presence of a gas in the gas,
counting the operation statistical information by using an artificial intelligence algorithm; the artificial intelligence algorithm includes at least one of a cluster analysis, an artificial neural network, and a fuzzy algorithm.
6. The method of claim 4, wherein the step of obtaining surgical statistics comprises:
after receiving an operation completion instruction sent by acquisition equipment, taking the target operation type and the actual operation duration of the first patient as operation statistical information; the surgical completion instruction is directed to the first patient.
7. The method of claim 1, wherein the step of determining a preoperative fasting time for a second patient based on the target surgical length comprises:
acquiring preset fasting time;
performing a difference between the fasting duration and the target surgical duration to obtain a preoperative fasting time for the second patient.
8. A device for processing a preoperative fasting time, comprising:
a surgical type acquisition module for acquiring a target surgical type of a first patient;
the operation duration determining module is used for selecting the statistical operation duration corresponding to the target operation type from a preset operation duration statistical table, and taking the selected statistical operation duration as the target operation duration of the first patient; the operation duration statistical table comprises the corresponding relation between the operation type and the statistical operation duration;
a preoperative fasting time determination module for determining a preoperative fasting time of a second patient according to the target surgical length; the surgical sequence of the second patient is subsequent to the surgical sequence of the first patient;
the preoperative fasting time sending module is used for sending the preoperative fasting time to terminal equipment; the terminal device is associated with the second patient.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010315360.6A CN111540452A (en) | 2020-04-21 | 2020-04-21 | Preoperative fasting time processing method, device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010315360.6A CN111540452A (en) | 2020-04-21 | 2020-04-21 | Preoperative fasting time processing method, device, computer equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111540452A true CN111540452A (en) | 2020-08-14 |
Family
ID=71979095
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010315360.6A Pending CN111540452A (en) | 2020-04-21 | 2020-04-21 | Preoperative fasting time processing method, device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111540452A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070203761A1 (en) * | 2006-02-09 | 2007-08-30 | Ronald Keen | Predictive scheduling for procedure medicine |
| US20140081659A1 (en) * | 2012-09-17 | 2014-03-20 | Depuy Orthopaedics, Inc. | Systems and methods for surgical and interventional planning, support, post-operative follow-up, and functional recovery tracking |
| US20160350499A1 (en) * | 2015-05-29 | 2016-12-01 | International Business Machines Corporation | System and method for optimizing allocation of medical units for patient treatment |
| CN207319710U (en) * | 2017-06-13 | 2018-05-04 | 中国人民解放军第三军医大学第一附属医院 | Operation dynamic information display system |
| CA2967570A1 (en) * | 2017-05-17 | 2018-11-17 | Medical Symbiosis Pty Ltd | Fasting formulation and use thereof |
-
2020
- 2020-04-21 CN CN202010315360.6A patent/CN111540452A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070203761A1 (en) * | 2006-02-09 | 2007-08-30 | Ronald Keen | Predictive scheduling for procedure medicine |
| US20140081659A1 (en) * | 2012-09-17 | 2014-03-20 | Depuy Orthopaedics, Inc. | Systems and methods for surgical and interventional planning, support, post-operative follow-up, and functional recovery tracking |
| US20160350499A1 (en) * | 2015-05-29 | 2016-12-01 | International Business Machines Corporation | System and method for optimizing allocation of medical units for patient treatment |
| CA2967570A1 (en) * | 2017-05-17 | 2018-11-17 | Medical Symbiosis Pty Ltd | Fasting formulation and use thereof |
| CN207319710U (en) * | 2017-06-13 | 2018-05-04 | 中国人民解放军第三军医大学第一附属医院 | Operation dynamic information display system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Stover et al. | The case for investing in the male condom | |
| CN109598628B (en) | Method, device and equipment for identifying medical insurance fraud behaviors and readable storage medium | |
| WO2021000856A1 (en) | Bone age detection method and system, device, and readable storage medium | |
| WO2018095889A1 (en) | Method and system for determining the nursing workload of care workers | |
| US10395176B2 (en) | Data based truth maintenance | |
| CN108932974A (en) | Method, apparatus, computer equipment and the storage medium of online interrogation distribution doctor | |
| CN109598302B (en) | Method, device and equipment for predicting treatment cost and computer readable storage medium | |
| KR102167377B1 (en) | Method and apparatus for searching item based on point score | |
| CN104969251A (en) | Synthetic healthcare data generation | |
| CN111883222B (en) | Text data error detection method and device, terminal equipment and storage medium | |
| CN113181660A (en) | Method and system for predicting number of active people in real time in game, electronic equipment and storage medium | |
| CN110264497B (en) | Method and device for determining tracking duration, storage medium and electronic device | |
| US20220399091A1 (en) | Machine learning for optimizing ovarian stimulation | |
| CN111968750B (en) | Server, data processing method, data processing device and readable storage medium | |
| CN109523396A (en) | Medical insurance fund air control method, apparatus, server and medium based on data analysis | |
| CN111540452A (en) | Preoperative fasting time processing method, device, computer equipment and storage medium | |
| Acosta et al. | Monitoring health systems by estimating excess mortality | |
| CN112613974A (en) | Risk early warning method, device, equipment and readable storage medium | |
| CN108334519B (en) | User label obtaining method and device in user portrait | |
| CN109345184A (en) | Nodal information processing method, device, computer equipment and storage medium based on micro- expression | |
| WO2021036305A1 (en) | Data processing method, apparatus, device, and storage medium | |
| US20220156810A1 (en) | Method and system to deliver time-driven activity-based-costing in a healthcare setting in an efficient and scalable manner | |
| CN113835950A (en) | Interface display stuck identification method and device, storage medium and electronic equipment | |
| CN109378056B (en) | Drug dispensing method, device, computer equipment and storage medium | |
| CN113158944A (en) | Physical examination queuing method, system, equipment and storage medium based on face recognition |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |