CN114420278A - Intelligent check reservation method and system based on rule algorithm - Google Patents

Abstract

The invention relates to an intelligent inspection reservation method and system based on a rule algorithm, comprising the following steps: obtaining a patient's valid medical technical inspection application form from a hospital information system; , classify the items in the patient examination application form according to the examination item open appointment service path label and generate an item appointment service route queue; according to the preset strategy and the examination item merging rule, the items in the above generated patient appointment service route are merged and calculated. , and generate an appointment application queue for the combined check calculation result tag; complete the appointment order according to the optimal resources recommended for the patient appointment application queue matching above, and output the appointment scheduling queue according to the resource scheduling in the hospital information system. By constructing a scientific medical technical examination reservation rule base, the invention provides a medical technical examination reservation method and system based on the rule base.

Description

A method and system for intelligent inspection reservation based on rule algorithm

technical field

The invention belongs to the technical field of medical management, and in particular relates to an intelligent inspection reservation method and system based on a rule algorithm.

Background technique

The medical technology department of a medical institution refers to the medical technology department that uses specialized diagnosis and treatment techniques and equipment to cooperate with clinical departments to diagnose and treat diseases, and is an important part of the hospital. In recent years, the National Health and Health Commission has continued to promote the rapid and healthy development of appointment diagnosis and treatment, and the appointment registration service has achieved good results, reducing the waiting time of patients for consultation and registration. Medical technology appointment is one of the key businesses in appointment diagnosis and treatment. It is very critical in the entire medical business system. It can effectively shorten the invalid waiting time of patients, reduce the cost of patient consultation, reduce the number of hospitalization days, and improve patient satisfaction. At the same time, it will help to improve the business processing capacity and level of the medical examination department.

In the hospital medical examination operation, the traditional medical technology appointment mode has certain bottlenecks. Patients generally need to go back and forth many times, wait in line, inefficiency, time-consuming and labor-intensive. On the one hand, from the perspective of the hospital, the pre-examination preparations and inspection arrangements required for various inspection items are manually controlled. Although some hospitals have launched the information-based medical technology resource reservation service, they cannot effectively solve problems such as dividing orders for multiple examination items for the same patient at one time, conflicting examination item appointment time limits, and flexible management of equipment according to the amount of resources. The appointments carried out basically rely on medical care. The experience of the staff cannot solve the problem of the deep relationship between patients, examination items and resources; on the other hand, from the perspective of patients, patients have repeatedly rushed to the examination room to wait in line, the appointment arrangement is unreasonable, and they cannot independently choose the appropriate examination time and appointment. The methods and channels are single, but the existing medical technology appointments focus on the use of information systems to rely on the experience of the staff to complete the appointment registration work.

Therefore, in order to solve the above problems, it is necessary to build a scientific professional medical technology inspection rule base, use the rule-based algorithm to calculate the optimal appointment scheduling plan for patients, and establish an intelligent, automatic and efficient medical technology appointment system to provide patients with more reasonable Appointment scheduling can effectively avoid medical contradictions and invalid flow of patients, and greatly improve the efficiency of medical technical inspections and services.

SUMMARY OF THE INVENTION

In order to solve the problems existing in the prior art, the purpose of the present invention is to provide a medical technical inspection reservation method and system based on the rule library by constructing a scientific medical technical inspection reservation rule base.

The technical solutions of the present invention are as follows: In the first aspect, a rule-based algorithm-based intelligent inspection reservation method is provided, which includes the steps:

Obtain a valid medical examination application form for patients in the hospital information system;

Grouping and classifying the doctor's order items in the received patient examination application form according to the appointment service path, classifying the items in the patient examination application form according to the examination item open appointment service path label, and generating an item reservation service path queue;

According to the preset strategy and the inspection item merging rule, the items in the above-generated patient reservation service path are merged and calculated, and the reservation application queue is generated for the result label of the merged inspection order;

According to the preset strategy and project resource matching rules, match the corresponding optimal resources to the above-generated patient reservation application queue;

According to the above-mentioned optimal resources recommended for the patient reservation application queue matching, the reservation order is completed and the hospital information system outputs the reservation scheduling queue according to the resource scheduling.

Further, classifying the items in the patient examination application form according to the examination item opening appointment service path label and generating an item reservation service path queue, specifically including:

Allocate the items in the patient examination application form to the two queues of the automatic appointment service route and the non-automatic appointment service route according to the item appointment service route label;

Items that meet the automatic appointment service path will automatically enter the order split processing link after the payment node is completed. Items that are not on the automatic appointment service path will be actively triggered by medical staff or patients to enter the order split processing link.

Further, according to the preset strategy and the inspection item merging rule, the above-mentioned generated patient reservation service path items in the patient reservation service path are merged and calculated, and the result label of the merged inspection order is generated and the reservation application queue is generated, and the specific steps further include:

Extract item inspection type and part data, clean and convert it and establish connection with the basic dictionary database to form unified standard data that can be recognized by the system;

Group the items in the appointment service path according to the examination type, and generate a queue of patient item examination types;

According to the preset strategy and the project merging rules, the specificity of the inspection items in each group of queues above is checked. If the inspection items are special, they will be tagged and a reservation application queue will be generated. If the inspection items are not special, Then enter the project and inspection room/equipment correspondence verification;

According to the preset strategy and item merging rules, the correspondence between the non-specific items in each group of queues and the examination room/equipment is checked. Among them, each group of queues cannot correspond to the examination items done on the same examination room/equipment. , then label it and generate a reservation application queue, and the inspection items in each group of queues corresponding to the same inspection room/equipment are checked for the inspection parts of the items;

According to the preset strategy and merging rules, the inspection parts of the items corresponding to the same inspection room/equipment in each group of queues are verified, and the items in the same inspection part in each group of queues are labeled and an appointment application is generated. Queue, the inspection items of different inspection sites in each group of queues are checked by inspection type group;

According to the preset strategy and item merging rules, the inspection items in the above-mentioned groups of queues that are not in the same inspection site are verified by group, and the inspection items in each group of queues that meet the advanced group are labeled one by one for each item. And generate an appointment application queue, each group selects to merge or generate an appointment application queue for the inspection items in the queue that meet the common group.

Further, according to the preset strategy and the project resource matching rule, matching the above-generated patient reservation application queue with the corresponding optimal resource, the specific steps further include:

According to the preset strategy and project resource matching rules, the resource matching execution of the patient reservation application queue is completed, and the resource matching is performed for the reservation application queue in order. Queue in the order of generation time. If the items in the patient reservation application queue have inspection sorting requirements, they will first be sorted according to the combination of the inspection order of the items and the generation time of the reservation application queue;

Retrieve resource scheduling according to the examination type of each item in the reservation application queue, the examination room/equipment corresponding to the item, the examination period, the application time and the source of the patient;

According to the preset strategy and project resource matching rules, verify the time conflict between patient inspection projects, and filter out the conflicting scheduling resources in the above retrieved scheduling set;

Obtain the set of scheduling resources retrieved above, and match the scheduling resources with the optimal time for the reservation application queue.

Further, according to the above-mentioned optimal resource matching recommended for the patient reservation application queue, completing the reservation and placing an order and outputting the reservation scheduling queue according to the resource scheduling in the hospital information system specifically includes:

The reservation application queue in the automatic reservation service path automatically completes the order according to the optimal resources matched by the system;

The reservation application queue in the non-automated reservation service path is recommended to the medical staff or patients for confirmation according to the optimal resources matched by the system. If they agree, the medical staff or patients will determine to complete the order. If they do not agree, the medical staff or patients will enter the designated examination. Time conditions, according to the preset strategy and project resource matching rules, re-match the scheduling resources under the specified conditions;

The above-generated appointment scheduling records group and sort the appointment scheduling records according to the resource scheduling type and appointment number sequence, and output the appointment scheduling queue according to the resource scheduling to the hospital information system, so as to lay a good foundation for triage in the next consultation link. .

A second aspect of the present invention provides an intelligent inspection reservation system based on a rule algorithm, characterized in that the system includes: a basic data dictionary module, a reservation rule library module, a resource scheduling management module, an application form receiving module, and a reservation service module , Appointment schedule output module.

Among them, the basic data dictionary module includes inspection department dictionary, inspection item dictionary, inspection type dictionary, inspection part dictionary, inspection equipment dictionary; the basic data dictionary module is mainly used to define inspection department, inspection item, inspection type, inspection part, inspection Device dictionary and the establishment of relational data model between dictionaries;

The reservation rule base module includes a preset strategy unit and a rule unit; the preset strategy unit is used to define the reservation strategy scheme corresponding to various inspection types, and the strategy scheme includes a strategy trigger condition and a specific strategy, and the specific strategy consists of at least one. A rule or a combination of multiple rules is formed; the rule unit is used to define the specific rules including the combined inspection of the inspection items and the matching of the inspection item resources corresponding to the project merger inspection and the project resource matching, and use the rule engine to make reservations for patients based on the reservation rule base. Check that the project matches the corresponding optimal resource;

The resource scheduling management module includes a resource scheduling unit and a basic scheduling unit; the resource scheduling unit is mainly used for arranging the use time of the inspection equipment and managing the equipment resources, providing management by number and quantity of resources. Manage two management methods, you can choose the appropriate management method for the equipment according to different inspection services; the basic scheduling unit provides a basic template for setting resource scheduling, and you can directly call the resource-based scheduling template for equipment resource scheduling, setting Quickly complete the resource scheduling work on the schedule date;

The application form receiving module is used to receive the medical technical examination application form transmitted by the hospital information system;

The reservation service module includes rule-based inspection item merging, resource matching calculation, reservation ordering service and reservation service API; the rule-based inspection item merging and resource matching calculation refer to using a rule engine to make reservations for patients based on the reservation rule base. The inspection items are combined and calculated and matched with the corresponding optimal resources; the reservation order service refers to the scheduling of the reservation and order formation of the inspection items applied by the patient to complete the optimal resources recommended by the above system; the reservation service API refers to Used to open the reservation service to third-party developers;

The appointment schedule output module is configured to output the above generated appointment schedule to the hospital information system according to the resource scheduling type.

Beneficial effects Compared with the prior art, significant advantages and the resulting effects:

(1) The present invention realizes reasonable order split reservation, avoidance of conflict between items, avoidance of item taboos, optimal time arrangement, age restriction, equipment capability restriction, special clinical special requirements, etc. by establishing an intelligent recommendation reservation rule engine center, etc., Coordinate the planning of the examination time of multiple items in multiple departments of patients, and greatly reduce the span of the time period for patients to visit a doctor.

(2) The present invention reduces queuing, shortens the waiting time of patients through the establishment of an intelligent appointment path algorithm and a triage prediction model center, and realizes intelligent appointment and triage according to the operating conditions of on-site equipment, maximizes resource utilization, maintains the order of visits, reduces Doctor-patient disputes.

(3) By establishing a big data management center for reservation resources in the whole hospital, the present invention realizes two management modes of number and resource amount, and achieves the perfect effect of immediate treatment by patients by establishing a big data management center for reservation resources of the whole hospital, rational allocation and unified supervision.

(4) The present invention realizes various medical technology appointment scenarios such as outpatient, hospitalization, physical examination, medical association/medical community community appointment, etc. through flattened rule design and standard number source service API, and supports intelligent recommendation appointment, Various reservation modes such as automatic reservation, self-service reservation, batch inpatient reservation, and check-in reservation can meet the application needs of medical technology reservation in general hospitals and specialized hospitals.

(5) The present invention can effectively avoid medical contradictions between inspection items and the problem of invalid flow of patients, provide patients with a more reasonable appointment schedule, save the investment of hospital medical technical inspection reservation center and reservation operators, and improve medical technical inspection The order of department visits, the scientific application of medical resources in medical technology departments, and the improvement of medical technology inspection efficiency and service quality.

Description of drawings

1 is a schematic flowchart of a rule algorithm-based intelligent inspection reservation method provided by an embodiment of the present invention;

FIG. 2 is a schematic flowchart of the execution of step 103 in FIG. 1 according to an embodiment of the present invention;

FIG. 3 is a schematic flowchart of the execution of step 104 in FIG. 1 according to an embodiment of the present invention;

FIG. 4 is a main block diagram of an intelligent inspection reservation system based on a rule algorithm according to an embodiment of the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to specific embodiments and accompanying drawings.

FIG. 1 is a schematic flowchart of an intelligent inspection 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 inspection reservation method based on a rule algorithm. The following is a detailed description of the implementation steps of the method in this embodiment.

Step 101: Obtain an application form for a patient's valid medical technical examination from the hospital information system.

Specifically, after the outpatient doctor has issued the doctor's order for medical technical examination and the patient has paid the fee at the toll office with the examination application form, it will be pushed by the hospital information system. The intelligent inspection reservation system based on the rule algorithm monitors and reads the medical technical inspection order data in real time through the localized service, receives the inspection application form and stores it in the inspection reservation application pool. The hospital information system here refers to the use of computer software and hardware technology and network. Communication technology and other modern means to comprehensively manage the flow of people, logistics and financial flows of the hospital and its various departments, and to collect, store, process, extract, transmit, aggregate and process the data generated in various stages of medical activities to form various Information system to provide comprehensive automated management and various services for the overall operation of the hospital, including hospital information system (Hospital Information System, HIS), hospital information system integration platform, electronic medical record (EMR, Electronic Medical Record) . The received medical technical examination list information includes: patient information, application form information, doctor's order item information, and the like.

Step 102 : Grouping and classifying the doctor's order items in the received patient examination application form according to the appointment service route, and classifying the items in the patient examination application form according to the examination item open appointment service route label and generating an item appointment service route queue.

Specifically, establish a connection relationship between the inspection items in the inspection reservation application pool and the items in the basic item library, and then match the reservation service path corresponding to each inspection item in the above-mentioned inspection reservation application pool according to the open reservation service path set by the project in the basic item library. Queue, because the open appointment service path of the project is divided into two types: automatic appointment and non-automatic appointment, the project that conforms to the automatic appointment service route queue is initiated by the program at the payment completion node or the nurse doctor's order confirmation completion node. Items in the automated appointment service route queue are actively triggered by medical staff or patients to enter the order splitting process. For example, for ultrasound examination items, outpatients complete payment or inpatient nurses confirm the doctor's order. The program automatically triggers the appointment service to complete the appointment process, while CT guides Under the puncture project, the professional medical staff needs to inquire and guide the medical staff to complete the appointment process.

Step 103: According to the preset strategy and the inspection item merging rule, the above generated items in the patient reservation service path are merged and calculated, and an reservation application queue is generated for the result label of the merged inspection order.

Specifically, since it is difficult to achieve a unified standard for the data of item examination types and examination parts in the medical technical examination application form transmitted by the information systems of various hospitals, it is necessary to do the data of the examination item types and examination parts in the above-mentioned reservation service route queue. Clean and convert the data to form a unified standard identifiable by the system, and then group the inspection items applied by patients according to the inspection type to form a patient inspection item type queue;

Further, according to the preset inspection item merging rules and the inspection equipment resource information corresponding to the inspection items, the item specificity, inspection equipment, inspection site, and item group in the queue of each inspection item type of the patient are sequentially analyzed by a rule-based algorithm. Match until all the patient check item type queues are calculated, and set the result label and the items with the same label as an appointment application queue.

Step 104: Match the above-generated patient reservation application queue with the corresponding optimal resource according to the preset strategy and the project resource matching rule.

Specifically, since some inspection items have inspection sequence requirements, before matching resources, sort each reservation application queue of the patient generated above according to the item inspection sequence rules set in the reservation rule base. If all the reservation application queue items of the patient are If there is no inspection sequence requirement, the applications are queued according to the order of the reservation application queue generation time for resource matching calculation;

Further, extract the key information such as the type of the item in the patient reservation application queue, the inspection period requirement of the item, the date of the order and other key information that matches the resource schedule set, and the inspection period requirement of the item in the reservation application queue of some combined orders will appear here. Inconsistencies, such as: some ultrasound items that have fasting requirements and require examinations between 8:00-10:00 in the morning and ultrasound items that do not require an examination period are combined. The requested item matches the resource. At the same time, combined with the preset rules such as project-designated examination room/equipment, patient source, project inter-department conflict and inter-department exclusion, the intelligent algorithm is used to further verify and filter the above resource scheduling set, until all appointment rules of the business type are verified. ;

Furthermore, after all verifications of patient reservation application queue resource matching are completed, the reservation application queue that conforms to the automatic reservation service path determines the resource schedule with the optimal resource time, and the reservation application queue that does not conform to the automatic reservation service path uses the optimal resource time. Recommended for medical staff or patients to confirm.

Step 105: According to the above-mentioned optimal resource matching and recommendation for the patient reservation application queue, complete the reservation order and output the reservation scheduling queue according to the resource scheduling in the hospital information system.

Specifically, the reservation application queue that conforms to the automatic reservation service path completes the order according to the recommended resource system. For those that need confirmation by medical staff or patients, if they agree, the medical staff or patients will determine to complete the order. Or patient input time requires rematching of resources.

Further, obtain the above-generated appointment scheduling records, group and sort the appointment scheduling records according to the resource scheduling type and the order of appointment numbers, and output the appointment scheduling queue to the hospital information system according to the resource scheduling, for the next consultation link. Lay a good foundation for triage, among which the downstream hospital information system mainly includes hospital information system (Hospital Information System, HIS), hospital information system integration platform, medical imaging information system (picture archiving and communication systems, PACS), laboratory information system (Laboratory Information System) , LIS), Radiology Information System (RIS).

FIG. 2 is a schematic flowchart of the execution of step 103 in FIG. 1 according to an embodiment of the present invention. The above-mentioned step 103 also provides a method for assigning orders for intelligent inspection reservations based on a rule algorithm. Specifically, as shown in FIG. 2 , the implementation process of step 103 includes the following steps:

Step 10301: Extract the examination type and examination site data of the items in the patient reservation service path, clean, convert and associate with the basic library standard dictionary to form a unified standard data that can be recognized by the intelligent examination reservation system based on the rule algorithm.

Step 10302: Group the items in the reservation service path according to the examination type, and generate a patient item examination type queue. Hospital examination types are generally divided into DR, CT, MRI, ultrasound examination, endoscopy, ECG examination, etc. The items in the above-mentioned patient appointment service path are divided according to the examination type, and a patient examination type queue is generated, such as CT item queue, ultrasound examination queue etc.

Step 10303: Check the particularity of the examination items in each group of queues of the above-mentioned patients according to the preset item merging rule.

Specifically, according to the special attributes and merging rules of the projects in the basic project database, it is judged whether the projects in each group of the above patients have special requirements, and the projects with special requirements will be labeled one by one to generate an appointment application queue, and there are no special requirements. Check items to continue to the next step.

Step 10304: According to the preset item merging rule, verify the correspondence between the non-specific inspection items and the inspection room/equipment in each group of inspection type queues.

Specifically, according to the corresponding relationship between items and inspection rooms/equipment in the project base library and the merging rules, it is judged whether the non-specific inspection items in each group of inspection type queues can be inspected in the same inspection room/equipment, and those that cannot be in the same inspection room/equipment are screened out The inspection items performed by the equipment will generate an appointment application queue for each label, and the inspection items corresponding to the same inspection room/equipment will continue to be verified in the next step.

Step 10305: According to the preset item merging rule, verify the inspection parts of the inspection items corresponding to the same inspection room/equipment in each group of queues.

Specifically, obtain the inspection parts of the inspection items corresponding to the same inspection room/equipment in each group of queues, and determine that the items with the same inspection parts in each group of queues generate an appointment application queue for their labels, such as CT inspection while the nasopharynx is flat. For scan, nasopharyngeal enhancement, chest plain scan, and chest enhancement, an appointment application queue for nasopharyngeal plain scan and nasopharyngeal enhancement is generated about once, and an appointment queue for chest plain scan and chest enhancement is generated about once.

Step 10306: According to the preset item merging rule, verify the item groups of the above-mentioned each group of queues that are not in the same inspection site.

Specifically, the group information of the examination items of different examination sites in the above-mentioned cohorts of each group is obtained, and the definition of the group is defined according to the medical classification. The inspection items are grouped into the advanced group, the plain scan inspection items are grouped into the general group, and the cerebral perfusion CTP is grouped into the special group. Determine the items in each group that belong to the advanced group, label each item one by one, and generate an appointment application queue , For example, enhancement items of different parts in CT and MRI examinations cannot be booked separately.

Step 10307: According to the preset item merging rule, select a merged reservation application queue for the inspection items merged into the common group in each queue in the above steps.

Specifically, there are two situations when selecting the merged reservation application queue for the inspection items classified into the common group in each group of queues. If an appointment application queue for high-level items with different inspection parts is generated in the above steps, the inspection items of the general group are randomly and equally inserted into the reservation application queue for high-group items; if there are no high-level groups with different inspection parts in the above steps For inspection items, the common group inspection items in each group of queues are automatically merged to generate an appointment application queue, and the ordering of the inspection items for the same patient to apply for an appointment ends.

FIG. 3 is a schematic flowchart of the execution of step 104 in FIG. 1 according to an embodiment of the present invention. The above step 104 also provides a rule algorithm-based intelligent inspection reservation resource matching method. Specifically, as shown in FIG. 3 , the implementation process of step 104 includes the following steps:

Step 10401: According to the preset project resource matching rules, complete the resource matching execution sorting of the patient reservation application queue, and perform resource matching on the reservation application queue in sequence.

Specifically, since some inspection items have inspection sequence requirements, before matching resources, sort each reservation application queue of the patient generated above according to the item inspection sequence rules set in the reservation rule base. If all the reservation application queue items of the patient are If there is no inspection sequence requirement, the applications are queued according to the order of the reservation application queue generation time for resource matching calculation;

Step 10402: Retrieve resource scheduling according to the examination type of the item in each group of reservation application queues, the examination room/equipment corresponding to the item, the examination period, the application time and the source of the patient.

Specifically, the examination type of the item in the reservation application queue, the examination room/equipment corresponding to the item, the examination period requirement of the item, the application time, and the patient source information query resource scheduling set are extracted. When the application queue extracts the inspection room/equipment corresponding to the project, the inspection period requirements of the project, and the application time information, it adopts the common intersection part information. If there is a time period requirement for another or more projects, the resource scheduling will be retrieved according to the intersection part of the inspection period requirement. If the application time of multiple projects is inconsistent, search according to the latest application time conditions in the project.

Step 10403: According to the preset item resource matching rule, verify the time conflict between the patient examination items, and filter out the conflicting scheduling resources in the above retrieved shift scheduling set. For CT-enhanced and MRI-enhanced inspections, hospitals generally try to extend the time interval between the two inspections without affecting the patient's diagnosis and treatment. If an inspection is scheduled for the next day, then the conflict time range is calculated and filtered out according to the preset inspection time conflict rules. within the resource scheduling.

Step 10404: Obtain the above-mentioned matched resource scheduling set, and recommend scheduling resources for the reservation application queue from the matched resource scheduling set from the optimal time dimension.

FIG. 4 is a main block diagram of an intelligent inspection 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 inspection reservation system based on a rule algorithm, including:

Basic data dictionary module 401: used to define dictionary data including inspection items, inspection equipment, inspection types, inspection departments, and inspection parts, and establish a relationship data model between inspection items, inspection equipment, inspection types, inspection departments, and inspection parts.

Reservation rule base module 402: used to specifically define the rule base including the combined inspection of inspection items and the matching of inspection item resources corresponding to the item combined inspection and item resource matching; In this way, a multi-dimensional reservation rule system is summarized. Based on the basic data of medical technical inspection items and equipment resources, define rule factors and underlying basic logic from the aspects of medical knowledge, inspection item requirements, equipment capabilities, technician capabilities, management requirements, etc. Lay a good foundation for realizing intelligent automatic appointment of medical technical examination;

Resource scheduling management module 403: including resource scheduling and basic scheduling; the resource scheduling management module is mainly used to arrange the use time of inspection equipment, and is also used to manage equipment resources. Different management methods are selected for inspection equipment. The management methods described here are two management methods: management by number and management by resource. Choosing an appropriate management method of equipment resources according to the characteristics of inspection services can more reasonably quantify the workload of technicians and improve equipment resources. The utilization rate of the resource scheduling is provided; the basic scheduling provides the basic template setting of the resource scheduling to facilitate the resource management department to quickly complete the resource scheduling.

Application form receiving module 404: used to receive the medical technical examination application form issued by the hospital information system, monitor and read the medical technical examination doctor order data transmitted by the hospital information system in real time through the localization service, receive the application form and store it in the examination reservation application pool .

Reservation service module 405 : including the combined calculation of examination items for reservation, the calculation of reservation resource matching, the confirmation of reservation order placement and the reservation service API; the combined calculation of examination items is to calculate the examination items applied by the patient based on the preset item examination merging rules Whether it is possible to combine examinations, the examination items that can be combined to generate a set of reservation application queues, and the examination items that cannot be combined to generate reservation application queues respectively, match the corresponding optimal resources to the reservation application queue calculated by the combined calculation, and finally complete the examination of patient applications Project reservation and placing an order, the reservation service API refers to opening the reservation service to third-party developers, where API refers to some predefined interfaces (such as functions, HTTP interfaces), or refers to the connection between different components of the software system A convention used to provide a set of routines that applications and developers can access based on a piece of software or hardware without having to access the source code or understand the details of the inner workings.

Appointment schedule output module 406: used to output the above generated appointment schedule to the hospital information system, when outputting the appointment schedule information, group and sort all the generated appointment schedule records according to the resource scheduling type and then output, Lay a good triage basis for the pre-examination link.

Claims (10)

1. an intelligent inspection reservation method based on a rule algorithm, is characterized in that, comprises the steps: Obtain a valid medical examination application form for patients in the hospital information system; Grouping and classifying the doctor's order items in the received patient examination application form according to the appointment service path, classifying the items in the patient examination application form according to the examination item open appointment service path label, and generating an item reservation service path queue; According to the preset strategy and the inspection item merging rule, the items in the above generated patient reservation service path are merged and calculated, and an appointment application queue is generated for the label of the merged inspection calculation result; According to the preset strategy and project resource matching rules, match the corresponding optimal resources to the above-generated patient reservation application queue; According to the above-mentioned optimal resources recommended for the patient reservation application queue matching, the reservation order is completed and the hospital information system outputs the reservation scheduling queue according to the resource scheduling. 2. a kind of intelligent inspection reservation method based on rule algorithm according to claim 1 is characterized in that: according to the item reservation service path label, the item in the patient examination application form is allocated to two automatic reservation service path and non-automatic reservation service path. group queue; Items that conform to the automatic appointment service path will automatically enter the order split processing link after the payment node is completed, and items that are not on the automatic appointment service path will be actively triggered by medical staff or patients to enter the order split processing link. 3. a kind of intelligent inspection reservation method based on rule algorithm according to claim 1, it is characterized in that: extract item inspection type, position data and its cleaning, conversion and basic dictionary base set up connection, form system identifiable unified standard data; Group the items in the appointment service path according to the examination type, and generate a queue of patient item examination types; According to the preset strategy and the project merging rules, the specificity of the inspection items in each group of queues above is checked. If the inspection items are special, they will be tagged and a reservation application queue will be generated. If the inspection items are not special, Then enter the project and inspection room/equipment correspondence verification; According to the preset strategy and item merging rules, the correspondence between the non-specific items in each group of queues and the examination room/equipment is checked, wherein, each group of queues cannot correspond to the examination items performed on the same examination room/equipment , then label it and generate a reservation application queue, and the inspection items in each group of queues corresponding to the same inspection room/equipment are checked for the inspection parts of the items; According to the preset strategy and merging rules, the inspection parts of the items corresponding to the same examination room/equipment in each group of queues are verified, and the items in the same inspection part in each group of queues are labeled and an appointment application is generated. Queue, the inspection items of different inspection sites in each group of queues are checked by inspection type group; According to the preset strategy and item merging rules, the inspection items in the above-mentioned groups of queues that are not in the same inspection site are verified by group, and the inspection items in each group of queues that meet the advanced group are labeled one by one for each item. And generate an appointment application queue, each group selects to merge or generate an appointment application queue for the inspection items in the queue that meet the common group. 4. a kind of intelligent inspection reservation method based on rule algorithm according to claim 1, it is characterized in that: according to preset strategy and project resource matching rule, complete patient reservation application queue resource matching execution sorting, in order to reservation application queue Resource matching is performed in sequence. If all the appointment application queue items of the patient have no inspection order requirements, they will be queued according to the order of the appointment application queue generation time. Combination sorting of application queue generation time; Retrieve resource scheduling according to the examination type of each item in the reservation application queue, the examination room/equipment corresponding to the item, the examination period, the application time and the source of the patient; According to the preset strategy and project resource matching rules, verify the time conflict between patient inspection projects, and filter out the conflicting scheduling resources in the above retrieved scheduling set; Obtain the set of scheduling resources retrieved above, and match the scheduling resources with the optimal time for the reservation application queue. 5. A rule-based algorithm-based intelligent inspection reservation method according to claim 1 or 4, characterized in that: the reservation application queue in the automatic reservation service path automatically completes placing an order according to the optimal resource matched by the system; The reservation application queue in the non-automated reservation service path is recommended to the medical staff or patients for confirmation according to the optimal resources matched by the system. If they agree, the medical staff or patients will determine to complete the order. If they do not agree, the medical staff or patients will enter the designated examination. Time conditions, according to the preset strategy and project resource matching rules, re-match the scheduling resources under the specified conditions; The above-generated appointment scheduling records group and sort the appointment scheduling records according to the resource scheduling type and appointment number sequence, and output the appointment scheduling queue according to the resource scheduling to the hospital information system, so as to lay a good foundation for triage in the next consultation link. . 6. An intelligent inspection reservation system based on a rule algorithm, characterized in that: the intelligent inspection reservation system comprises: Basic data dictionary module: used to define dictionary data including inspection items, inspection equipment, inspection types, inspection departments, and inspection parts, and establish a data model of the relationship between inspection items, inspection equipment, inspection types, inspection departments, and inspection parts; Reservation rule base module: It is used to specifically define the rule base including the project merge check and the project resource matching corresponding to the check item combination order and the check item resource matching; Resource scheduling management module: used to arrange the use time of inspection equipment, and also used to manage equipment resources; Application form receiving module: It is used to receive the medical technical examination application form issued by the hospital information system, monitor and read the medical technical examination doctor's order data transmitted by the hospital information system in real time through the localized service, receive the application form and store it in the examination reservation application pool; Reservation service module: used to realize reservation service; Appointment schedule output module: It is used to output the above generated appointment schedule to the hospital information system. When outputting the appointment schedule information, all the generated appointment schedule records are grouped and sorted according to the resource schedule type and then output, as The pre-examination link lays a good foundation for triage. 7. The intelligent inspection reservation system based on a rule algorithm according to claim 6, wherein the basic data dictionary module specifically comprises: The basic data dictionary module includes 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 inspection departments, inspection items, inspection types, inspection parts, inspection equipment dictionaries and establishes a relational data model between the dictionaries. 8. The intelligent inspection reservation system based on a rule algorithm according to claim 6, wherein the reservation rule library module specifically comprises: The reservation rule base module includes a preset strategy unit and a rule unit; The preset strategy unit is used to define reservation strategy schemes corresponding to various inspection types, the strategy scheme includes strategy triggering conditions and specific strategies, and the specific strategy is composed of at least one rule or a combination of multiple rules; The described rule unit is used to define the specific rules including the project merging inspection and the project resource matching corresponding to the inspection project combined order and the inspection project resource matching; The reservation rule base module is used to match the corresponding optimal resource for the patient reservation check item by using the rule engine based on the reservation rule base. 9. The intelligent inspection reservation system based on a rule algorithm according to claim 6, wherein the resource scheduling management module specifically comprises: The resource scheduling management module includes a resource scheduling unit and a basic scheduling unit; The resource scheduling unit is mainly used for arranging the use time of the inspection equipment and managing the equipment resources, providing two management methods: management by number and management by resource amount, and can choose appropriate management for the equipment according to different inspection services. Way; The basic scheduling unit provides a basic template for setting resource scheduling. When scheduling equipment resources, you can directly call the resource basic scheduling template and set the scheduling date to quickly complete the resource scheduling. 10. The intelligent inspection reservation system based on a rule algorithm according to claim 6 or 9, wherein the reservation service module specifically comprises: The reservation service module includes rule-based inspection item merging, resource matching calculation, reservation ordering service and reservation service API; The rule-based inspection item merging and resource matching calculation refers to using a rule engine to perform merge calculation for patient reservation inspection items based on the reservation rule base and match the corresponding optimal resources; The reservation and ordering service refers to the formation of a schedule for ordering and placing an order for the examination items applied by the patient to complete the optimal resources recommended by the above-mentioned system; The reservation service API is used to open the reservation service to third-party developers.

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