WO2020071540A1 - Dispositif d'aide à l'appariement, procédé d'aide à l'appariement, et support d'informations - Google Patents

Dispositif d'aide à l'appariement, procédé d'aide à l'appariement, et support d'informations

Info

Publication number
WO2020071540A1
WO2020071540A1 PCT/JP2019/039300 JP2019039300W WO2020071540A1 WO 2020071540 A1 WO2020071540 A1 WO 2020071540A1 JP 2019039300 W JP2019039300 W JP 2019039300W WO 2020071540 A1 WO2020071540 A1 WO 2020071540A1
Authority
WO
WIPO (PCT)
Prior art keywords
receiving
patient
facility
degree
recovery
Prior art date
Application number
PCT/JP2019/039300
Other languages
English (en)
Japanese (ja)
Inventor
昌洋 林谷
英二 湯本
正武 高居
久保　雅洋
利憲 細井
Original Assignee
日本電気株式会社
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 日本電気株式会社 filed Critical 日本電気株式会社
Priority to JP2020551114A priority Critical patent/JP7124879B2/ja
Publication of WO2020071540A1 publication Critical patent/WO2020071540A1/fr

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

Definitions

  • the present invention relates to a matching support device, a matching support method, and a storage medium.
  • the person in charge of the hospital or other facility, the patient admitted to the facility, or the patient's family depends on the degree of recovery of the condition of the patient admitted or admitted to the facility such as the hospital, or the necessity of nursing, etc.
  • the hospital may look for a destination facility after discharge.
  • a receiving facility for receiving a patient after the patient leaves the acute hospital a convalescent hospital, a nursing home, a nursing home, and the like exist.
  • the person in charge of the facility such as a hospital, the patient who is hospitalized or in the facility, and the patient's family search for the receiving facility that meets the receiving conditions of the facility from the receiving facilities. .
  • a related technique is disclosed in Patent Document 1.
  • Patent Literature 1 a candidate for an empty bed is searched based on the contents of hospitalization of a patient, a bed is allocated in a first hospitalization period of a patient, and a bed in a next hospitalization period is set as the last day of the first hospitalization period as a first day. And a technique for performing the assignment.
  • the search for the receiving facility may take time. Delays in deciding the host facility may not lead to early discharge of the patient. In other words, there is a need for a technology capable of supporting the determination of a receiving facility for a patient or the like from an earlier stage.
  • An example of the object of the present invention is to provide a matching support device, a matching support method, and a storage medium that solve the above-described problems.
  • the matching support device includes a recovery degree prediction unit that predicts a recovery degree of the patient, and the plurality of the plurality of reception facilities based on the recovery degree and the reception conditions of each of the plurality of receiving facilities.
  • a candidate specifying unit that specifies candidates for a receiving facility that can receive the patient at a predetermined time from the receiving facility.
  • the matching support method predicts the degree of recovery of the patient, based on the degree of recovery and the receiving conditions of each of the plurality of receiving facilities, from the plurality of receiving facilities, Identifying candidate receiving facilities that can accept the patient at a predetermined time.
  • a storage medium predicts a degree of recovery of a patient by a computer and, based on the degree of recovery and receiving conditions of each of the plurality of receiving facilities, stores the plurality of receiving facilities. From the above, a program for executing a process of specifying a candidate of a receiving facility that can receive the patient at a predetermined time is stored.
  • FIG. 1 is a hardware configuration diagram of a matching support device according to an embodiment of the present invention. It is a functional block diagram of a matching support device by one embodiment of the present invention. It is a figure showing the processing flow of the matching support device by one embodiment of the present invention. It is a figure which shows the recovery degree according to time progress until discharge day by one Embodiment of this invention. It is a figure which shows the recovery degree according to time progress until discharge day by one Embodiment of this invention.
  • FIG. 4 is a diagram illustrating an acceptance condition according to an embodiment of the present invention.
  • FIG. 11 is a diagram illustrating a configuration of a matching support device according to another embodiment of the present invention.
  • FIG. 1 is a diagram showing an outline of a matching support system 100 having a matching support device according to the present embodiment.
  • the matching support system 100 according to the present embodiment is used when a patient admitted (or admitted) to a facility such as an acute care hospital is discharged (or discharged) and admitted to another facility (or admitted).
  • This is a system for supporting the determination of potential facilities.
  • the term "matching" indicates that when a patient who is hospitalized (or admitted) to a facility is discharged (or discharged) and is hospitalized (or admitted) to another facility, a facility that can be a receiving destination is determined. .
  • the matching support device 1 is communicatively connected to a server, a terminal, or the like provided at each facility that can be a reception destination for receiving a patient (hereinafter, referred to as a reception destination facility).
  • the receiving facilities are an acute care hospital A, a convalescent care hospital B, a nursing care facility C, a small-scale multifunctional facility D, a nursing home E, and the like. Even if it is a facility different from these facilities, it can be a receiving facility if it is a facility that receives a patient who has been discharged (leaved) from each of these facilities.
  • the convalescent hospital when a patient admitted to an acute care hospital is discharged and the convalescent hospital accepts the patient, the convalescent hospital is the receiving facility.
  • a patient may be discharged from an acute care hospital and another acute care hospital may accept the patient.
  • the elderly patient moves from the first nursing home to the second nursing home, the second nursing home becomes the receiving facility.
  • FIG. 2 is a diagram showing a configuration of the matching support system.
  • the matching support device 1 includes a terminal 2 and a server 3 installed in facilities such as an acute care hospital A, a convalescent care hospital B, a nursing home C, a small multifunctional facility D, and a nursing home E. Is connected for communication.
  • FIG. 2 shows that the matching support device 1 is communicatively connected to both the terminal 2 and the server 3 of each facility, but in any one of the facilities, one of the terminal 2 and the server 3 is provided. May be connected for communication.
  • the matching support system may be realized as a cloud computing system.
  • FIG. 3 is a hardware configuration diagram of the matching support apparatus.
  • the matching support device 1 is a computer including hardware such as a CPU (Central Processing Unit) 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, a database 104, a communication module 105, and the like. It is.
  • the terminal 2 and the server 3 may be computers having the same configuration.
  • FIG. 4 is a functional block diagram of the matching support device.
  • the matching support apparatus 1 executes a matching support program stored in advance.
  • the matching support apparatus 1 is provided with the functions of a control unit 11, an acquisition unit 12, a recovery degree prediction unit 14, a candidate identification unit 15, a facility determination unit 16, an acceptance condition output unit 17, and an acceptance destination identification unit 18. .
  • the control unit 11 controls each function of the matching support device 1.
  • the acquisition unit 12 acquires various types of information necessary for processing.
  • the various types of information necessary for the processing include information necessary for predicting the degree of recovery of the patient and information regarding the receiving facility. Further, the various information necessary for the processing may include other information necessary for each element of the matching support device 1.
  • the acquisition unit 12 acquires, as a more specific example, chart information of a patient and list information of facilities according to the degree of recovery of the patient's discharge date (scheduled discharge date).
  • the recovery degree prediction unit 14 predicts the recovery degree of the patient.
  • the recovery degree prediction unit 14 predicts the recovery degree of the patient based on past nursing histories of a patient group including a plurality of other patients having attributes corresponding to the attribute of the patient.
  • the patient's degree of recovery indicates the degree of recovery of the patient's condition.
  • the degree of recovery of the patient may be indicated as a range of the degree of recovery.
  • the candidate specifying unit 15 specifies a candidate for a receiving facility that can accept a patient after discharge at a predetermined time based on the degree of recovery, the range of the degree of recovery, and the receiving conditions of each receiving facility.
  • the predetermined time is a time when the patient is discharged from the hospital or facility where the patient is currently hospitalized and is expected to be transferred to the receiving place (that is, a patient who is hospitalized or admitted to the facility is discharged or discharged and accepted). It is time to be hospitalized or admitted to the destination facility).
  • discharge expected time The expected discharge time may be indicated on a specific day, or may be indicated for a period in an appropriately determined range.
  • the expected discharge time may be determined based on, for example, the average number of hospital days in the hospital and other conditions. The average hospital stay in a hospital may be determined for each diagnosis of a patient.
  • the facility determination unit 16 determines whether the candidate for the receiving facility is a receiving facility whose receiving conditions can be changed.
  • the accepting condition output unit 17 determines whether the accepting facility candidate is an accepting facility whose accepting condition can be changed. When determining that the candidate for the receiving facility is a receiving facility that can change the receiving condition, the receiving condition output unit 17 responds to the receiving determination index of the receiving facility on the patient's discharge date (scheduled discharge date). Outputs the acceptance condition for which acceptance has been changed.
  • the receiving destination specifying unit 18 specifies the receiving destination of the patient from the receiving facility candidates based on the attribute information indicating the receiving facility candidates. The receiving destination specifying unit 18 may further specify the receiving destination of the patient from the receiving destination candidates based on the desired information indicating the condition of the attribute information indicated by the receiving facility candidate specified by the patient.
  • the matching support apparatus 1 provides a technology that enables each of the above-described components to support the determination of a receiving facility for a patient or the like at an earlier stage by executing the following processing.
  • the matching support device 1 performs the following processing by each of the above-described components, thereby responding to fluctuations in the reception conditions at the reception destination facility, the degree of recovery on the patient's discharge date (scheduled discharge date), and the range thereof. Assist in finding the right hosting facility.
  • FIG. 5 is a diagram illustrating a processing flow of the matching support apparatus.
  • a person in charge such as a nurse at the facility where the patient is hospitalized, instructs the terminal 2 and the server 3 to output a matching request.
  • the output instruction of the matching request is performed, for example, on the day after the patient is admitted, assuming that the patient will be discharged after a certain period of time and will be admitted or admitted to the receiving facility. However, the output instruction of the matching request may be performed at a time after the day after the hospitalization.
  • the terminal 2 or the server 3 transmits a matching request to the matching support device 1 based on the operation of the person in charge.
  • the matching support apparatus 1 receives a matching request from the terminal 2 or the server 3 of any facility (Step S101).
  • the matching request includes the patient's medical record information indicating the ID of the facility that made the request, the ID of the patient, and physical attributes such as the patient's age, weight, and gender.
  • the medical record information further includes a history of treatment and care for the patient.
  • the treatment / care history includes a disease type that identifies the patient's disease, a nursing type that identifies the type of treatment and care required for the patient based on the patient's condition including the disease, etc., for each day of the hospital stay,
  • the state of the doctor's operation based on the disease, the type of the disease that occurred concurrently with the hospitalization period and its concurrent date, the body temperature of each day during the hospitalization period of the patient, the state information such as the number of urination and defecation, etc. are included. For example, information other than these may be included.
  • the control unit 11 of the matching support apparatus 1 outputs each information included in the matching request to the recovery degree prediction unit 14 and outputs a recovery degree prediction instruction to the recovery degree prediction unit 14.
  • the recovery degree prediction unit 14 reads the recovery degree prediction model corresponding to the facility ID, the disease type of the patient, and the physical attributes of the patient from the database 104 (step S102).
  • the recovery degree prediction model outputs the recovery degree of the patient at the expected discharge time based on the patient's chart information and the input of the expected discharge time.
  • the recovery degree prediction model is based on the medical record information obtained from the facility server 3 of the facility with the facility ID included in the matching request, and uses a machine learning method for each cluster based on the patient's disease type and the patient's physical attributes in each of the facilities.
  • the recovery degree is output as a numerical value such as a categorical variable or a FIM (Functional Independence Measure) score in which the degree of recovery is divided into several stages.
  • a mixture distribution model or a support vector machine is used, but not limited thereto.
  • the recovery degree prediction model may be generated by the matching support device 1. Alternatively, the recovery degree prediction model may be generated by another machine learning device and stored in advance in, for example, the database 104 of the matching support device 1.
  • the recovery degree prediction unit 14 inputs the patient's medical record information included in the matching request and the designation of the expected discharge time to the recovery degree prediction model, and predicts the recovery degree of the patient on the designated day using the recovery degree prediction model. (Step S103).
  • the degree of recovery may not be constant depending on the condition of the patient and other factors. Therefore, the degree of recovery may indicate the range (blur) of the degree of recovery at the expected discharge time. If the estimated discharge time is indicated by a period, the range of the degree of recovery may change within the period. As an example of this case, the recovery degree prediction unit 14 sets the largest value of the recovery degree indicated by the range of the recovery degree at the expected discharge time as the recovery degree at the expected discharge time.
  • the recovery degree predicting unit 14 may predict the recovery degree of the patient at the specified expected discharge time, or may predict the change in the recovery degree of the patient from the prediction time to the predicted discharge time in time series. Is also good. After predicting the recovery degree of the patient, the recovery degree prediction unit 14 outputs to the control unit 11 the completion of calculation of the recovery degree and the range of the recovery degree. In response, the control unit 11 outputs to the candidate specifying unit 15 the specified date or period, the degree of recovery or the range of the degree of recovery, and an instruction to start the candidate specifying process.
  • the ⁇ recovery degree indicates, for example, a degree of daily activity (ADL: Activities of Daily Living) of the patient.
  • Reception facilities vary depending on the degree of recovery. For example, if the degree of recovery is low, it is necessary to search for a facility for receiving patients with a lower degree of recovery, such as a nursing home. When the degree of recovery is high, it is necessary to search for a facility for receiving a patient with a higher degree of recovery, such as a recovery facility.
  • FIGS. 6A and 6B are diagrams conceptually showing the degree of recovery over time. 6A and 6B, the horizontal axis represents the passage of time, and the vertical axis represents the degree of patient recovery.
  • the degree of recovery of the patient is represented by the ADL described above as an example. 6A and 6B, the solid line indicates the state of change of the recovery degree predicted by the recovery degree prediction unit 14, and the dotted line indicates the upper or lower limit of the range of the recovery degree predicted by the recovery degree prediction unit 14. The state of change is shown. Further, FIGS. 6A and 6B show that, based on the degree of recovery, the facility category that is a candidate for the receiving facility classified according to the degree of recovery is specified.
  • the facility category is a recuperation facility (described as “recuperation” in FIGS. 6A and 6B), a normal facility (described as “facility” in FIGS. 6A and 6B), a rehabilitation facility or a rehabilitation hospital (“rehabilitation hospital in FIGS. 6A and 6B”). )), But may be a different category.
  • the category of recuperation facilities includes recuperation hospitals and hospice.
  • the category of the normal facility is a normal facility to be accepted and includes nursing homes and nursing homes.
  • the category of rehabilitation facilities includes convalescent hospitals and small-scale multifunctional nursing care facilities.
  • FIG. 6A shows an example where the range of the degree of recovery is large.
  • a rehabilitation facility, a rehabilitation hospital, or a normal facility may be a candidate for a receiving facility in the candidate specifying unit 15 described later.
  • FIG. 6B shows an example where the range of the degree of recovery on the discharge date (expected discharge date) is small.
  • a rehabilitation facility or a rehabilitation hospital may be a candidate for the receiving facility in the candidate specifying unit 15 described later.
  • the recovery degree prediction unit 14 predicts the degree of recovery of the patient, so that it is possible to select the receiving facility according to the degree of recovery of the patient and its range.
  • the recovery degree prediction unit 14 determines whether the range of the recovery degree on the calculated discharge date (scheduled discharge date) is large or not, and when the recovery degree range is equal to or larger than the predetermined threshold, the receiving facility It may be determined that the processing after the candidate identification processing is stopped.
  • the candidate specifying unit 15 receives an instruction from the control unit 11 to start the candidate specifying process. In response to this, the candidate specifying unit 15 starts a process of specifying a candidate for a facility for receiving the patient indicated by the patient ID. Specifically, the candidate specifying unit 15 records each facility recorded in the database 104 in association with the recovery degree acquired from the recovery degree prediction unit 14 and one or more facility categories specified by the range of the recovery degree. Is specified as a candidate for the receiving destination (step S104). It should be noted that the number of facilities specified as the accepting destination candidates is one if the facility is recorded in the database 104 in association with one or a plurality of facility categories specified by the degree of recovery or the range of the degree of recovery. There may be more than one. That is, the matching support apparatus 1 enables selection of a receiving facility from a plurality of hospitals and facilities according to the degree of recovery of the patient.
  • the candidate specifying unit 15 obtains the reception condition recorded in the database 104 in association with the ID of the facility specified as the reception destination candidate and the current degree of the reception determination index (step S105).
  • the acceptance condition may be information recorded in the database 104 by the matching support apparatus 1 after inquiring the acceptance condition of each day from a person in charge of each facility.
  • the reception conditions are information in which the person in charge of each facility transmits the reception conditions to the matching support apparatus 1 using the terminal 2 and the control unit 11 of the matching support apparatus 1 records the reception conditions in the database 104 for each facility. It may be.
  • the acceptance condition is, more specifically, information indicating whether or not the patient can be accepted at the receiving facility according to the degree of the acceptance judgment index of the patient at the receiving facility on each day.
  • the acceptance determination index is, for example, the vacancy rate of each receiving facility.
  • the degree of the acceptance determination index is the magnitude of the vacancy rate.
  • the acceptance condition indicates whether or not the patient can be accepted according to the vacancy rate of the receiving facility.
  • the acceptance conditions are determined according to the vacancy rate, for example, whether the facility has a low vacancy rate, if the vacancy rate is medium, if the vacancy rate is medium, and if the vacancy rate is high, the facility is acceptable. Shown in multiple stages. In this example, the acceptability is described in three stages, but the number of stages may be determined according to the facility.
  • the acceptance condition may be set for each patient nursing type.
  • the acceptance condition may further include an acceptance change enable / disable flag indicating whether the acceptability according to the degree of the acceptance determination index can be changed.
  • the acceptance change availability flag indicates “impossible”
  • the facility is determined to be a facility that does not change the acceptance status of the patient according to the degree of the acceptance determination index.
  • Such a facility is, for example, a facility that does not change the acceptability of a patient belonging to a nursing type requiring special treatment or care according to the vacancy rate.
  • the acceptance change availability flag indicates “allowed” (not “impossible”), the facility is determined to be a facility that can change the acceptance status of a patient according to the degree of the acceptance determination index.
  • Such a facility is, for example, a facility that changes the acceptance or non-acceptance of a patient belonging to a nursing type requiring special treatment or care according to the vacancy rate. In other words, such facilities do not accept patients belonging to nursing types requiring special treatment or care when the vacancy rate is low, but may accept these patients when the vacancy rate is high.
  • the acceptance determination index of the receiving facility may be information other than the vacancy rate, such as the number of staff members, the available business hours of the staff members, and the ratio of severely ill patients among hospitalized patients. In the following description, it is assumed that the acceptance condition includes an acceptance changeability flag.
  • FIG. 7 is a diagram showing the acceptance conditions.
  • the acceptance condition is information indicating whether or not acceptance is possible according to the vacancy rate (ratio (%)) in a certain facility (facility A in FIG. 7).
  • “ ⁇ ” indicates acceptability.
  • “ ⁇ ” indicates rejection (impossible).
  • FIG. 7 further shows acceptance conditions including acceptance availability according to the vacancy rate for each nursing type.
  • the column described as nasal nutrition indicates the acceptability of patients requiring nasal nutrition according to the vacancy rate.
  • the column labeled tracheostomy indicates the acceptance of patients undergoing tracheostomy according to the vacancy rate.
  • the column described as infectious disease indicates the acceptability of patients suffering from infectious disease according to the vacancy rate.
  • the column described as artificial respiration indicates the acceptability of patients who need to wear artificial respirators according to the vacancy rate.
  • the candidate specifying unit 15 includes a facility ID indicating one or a plurality of reception destination candidates identified based on the degree of recovery of the patient and a range of the degree, and a list of the one or more reception destination candidates.
  • the combination of the information indicating the acceptance condition and the current degree of the acceptance judgment index is output to the facility judgment unit 16 and the acceptance condition output unit 17.
  • the facility determination unit 16 acquires the reception condition of each facility that is one or a plurality of reception destination candidates, and determines whether or not the reception change permission / prohibition flag indicates the impossibility (step S106).
  • the facility determination unit 16 generates a determination result indicating whether or not the acceptance change availability flag indicates “impossible” for each facility ID, and outputs the determination result to the acceptance condition output unit 17.
  • the accepting condition output unit 17 specifies the facility ID for which the accepting change permission / inhibition flag by the facility determining unit 16 has become a determination result indicating impossibility. If the acceptance change availability flag for a certain facility indicates that the facility is unacceptable, the facility is a facility that does not change the acceptance availability according to the degree of the acceptance determination index. Therefore, the receiving condition output unit 17 determines that the information on the receiving condition of the facility is output immediately. In this case, the acceptance condition output unit 17 acquires the facility attribute information (facility name, address, telephone number, etc.) from the database 104 based on the facility ID for which the acceptance change availability flag indicates a disapproval.
  • the acceptance condition output unit 17 outputs the facility ID, the facility attribute information, and the current acceptance decision index of the facility (the size of the vacancy rate) for the facility that does not change the acceptability information according to the acceptance decision index. (Numerical value) is generated (step S107).
  • the accepting condition output unit 17 transmits the patient ID, the generated first accepting candidate list, and information indicating the accepting condition of each accepting candidate to the terminal 2 or the server 3 that has output the matching request (step S108). ).
  • the terminal 2 and the server 3 output the first candidate list of receiving destinations and the receiving conditions of each receiving destination candidate to a predetermined monitor or other output means as appropriate according to the request of the person in charge.
  • the staff such as a nurse, the patient himself, and the patient's family can change the facility ID, facility attribute information (facility name, address, telephone Number, etc.), a list of first destination candidates including the degree of the current acceptance judgment index of the facility (the size of the vacancy rate (numerical value), etc.), and the acceptance conditions of each destination candidate can be viewed.
  • This list may include information indicating whether or not acceptance is possible according to the degree of the current acceptance determination index. For example, based on a comparison between the degree of the acceptance determination index and the threshold, it is set to be acceptable if the degree of the acceptance determination index is equal to or greater than the threshold, and to be unacceptable if the degree of the acceptance determination index is less than the threshold.
  • the facility is a facility that may change the acceptance according to the degree of the acceptance determination index.
  • a facility is, for example, a facility in which the acceptability of a patient belonging to a nursing type requiring special treatment or care may be changed depending on the vacancy rate.
  • the acceptance condition output unit 17 outputs information indicating the acceptance condition in which the acceptance condition of the facility has been changed in accordance with the degree of the current acceptance determination index in the facility of the accepting destination candidate. It is determined to generate and output.
  • the acceptance condition output unit 17 selects one facility from one or a plurality of facilities whose acceptance change availability flag indicates yes, and determines whether the current acceptance determination index of the facility is equal to or greater than the first threshold.
  • the first threshold value is set when the acceptance of the selected facility is under the most relaxed condition (for example, when the acceptance of patients belonging to the nursing type requiring special treatment or care is maximized). This is a threshold for determining whether or not there is.
  • the acceptance condition output unit 17 determines whether or not the acceptance according to the degree of the acceptance determination index included in the acceptance condition of the facility is a maximum. The limit is changed from unacceptable to acceptable (step S110).
  • the acceptance condition output unit 17 outputs, for example, a vacancy rate of 30%.
  • acceptability information ( ⁇ or ⁇ )
  • all information that is not acceptable is changed to acceptability ( ⁇ ).
  • the acceptance condition output unit 17 determines whether the degree of the current acceptance determination index of the selected facility is equal to or greater than the second threshold value smaller than the first threshold value and less than the first threshold value (step S111).
  • the second threshold value is set when the acceptance of the selected facility is partially relaxed (for example, when the acceptance of patients belonging to the nursing type requiring special treatment or care is partially disabled) ). If the degree of the current acceptance judgment index of the selected facility is equal to or greater than the second threshold and less than the first threshold, the acceptance condition output unit 17 responds to the degree of the acceptance judgment index included in the acceptance condition of the facility. Of the acceptability, the acceptability of a predetermined nursing type is changed from unacceptable to acceptable (step S112).
  • the acceptance condition output unit 17 Nasal nutrition and tracheostomy are acceptable among the information that is not acceptable among the information ( ⁇ or ⁇ ) of the acceptability of the item of artificial respiration when the vacancy rate is 15%. ).
  • the acceptance condition output unit 17 determines the degree of the current acceptance judgment index of a facility (a facility whose acceptance change enable / disable flag indicates “acceptable”) in which the information of acceptance is changeable according to the degree of the acceptance judgment index, and changes the acceptance condition. It is determined that has been completed. Then, the acceptance condition output unit 17 outputs the facility attribute information (facility name, address) associated with each facility ID from the database 104, based on each facility ID of the facility whose acceptance information can be changed according to the degree of the acceptance determination index. , Phone numbers, etc.).
  • the acceptance condition output unit 17 outputs a facility ID, facility attribute information, and a current acceptance decision index of the facility (the size of the vacancy rate) for a facility in which the information on acceptability according to the degree of the acceptance decision index can be changed. (Numerical value) is generated (step S113).
  • the receiving condition output unit 17 outputs the patient ID, the generated second list of receiving destination candidates, and information indicating the changed or unchanged receiving conditions of each receiving destination candidate to the terminal 2 or the server that has output the matching request. 3 (step S114).
  • the terminal 2 or the server 3 transmits the second reception destination candidate list and the information indicating the changed or unchanged reception conditions of each reception destination candidate to a predetermined monitor or other output as appropriate according to the request of the person in charge. Output to the means.
  • the accepting condition output unit 17 transmits the generated second accepting candidate list and the information indicating the changed or unmodified accepting condition to the terminal 2 or the server 3 that has output the matching request.
  • the terminal 2 or the server 3 outputs the second candidate list of receiving destinations and the changed or unchanged receiving conditions to a predetermined monitor or other output means as needed in response to a request from a person in charge.
  • the person in charge such as a nurse, the patient himself, and the patient's family can change the information on the acceptability according to the degree of the acceptability determination index by using the facility ID, the facility attribute information (facility name, address, telephone number). Number, etc.), a list of first destination candidates including the degree of the current acceptance judgment index of the facility (such as the size of the vacancy rate (numerical value)), and the changed or unchanged acceptance conditions for each destination candidate And can be viewed.
  • This list may include information indicating whether or not acceptance is possible according to the degree of the current acceptance determination index.
  • the degree of the acceptance determination index For example, based on a comparison between the degree of the acceptance determination index and the threshold, it is set to be acceptable if the degree of the acceptance determination index is equal to or greater than the threshold, and to be unacceptable if the degree of the acceptance determination index is less than the threshold.
  • the accepting condition output unit 17 may generate an accepting candidate list obtained by combining the first accepting candidate list and the second accepting candidate list, and transmit the matching candidate list to the terminal 2 or the server 3 that outputs the matching request. Good.
  • the person in charge such as a nurse, the patient himself, and the patient's family, enter the desired acceptance list in the first candidate list, the second candidate list, and the combined candidate list output from the monitor.
  • a candidate can be selected.
  • the terminal 2 or the server 3 outputs a specific request including the facility ID and the patient ID of the selected destination candidate to the matching support apparatus 1.
  • the receiving destination specifying unit 18 of the matching support device 1 acquires the specifying request.
  • the receiving destination specifying unit 18 specifies, as a receiving destination of the patient having the patient ID included in the specifying request, the facility having the facility ID included in the specifying request. Based on the facility ID and the patient ID included in the specification request, the receiving destination specifying unit 18 indicates that the patient indicated by the patient ID wants to be accepted at the receiving candidate facility indicated by the facility ID. Generate desired information.
  • the receiving destination specifying unit 18 transmits the desired receiving information to the terminal 2 or the server 3 of the facility indicated by the facility ID. As a result, the desired reception information is transmitted to the facilities desired by the patient or the like among the facilities of the candidate reception destinations.
  • the matching support apparatus 1 may automatically specify one facility from among the facilities of the candidate destinations.
  • the receiving destination specifying unit 18 may arbitrarily select one of the receiving destination candidates and specify one of the candidates as the receiving destination of the patient.
  • the receiving destination specifying unit 18 determines the receiving destination facility based on the attribute information indicating the receiving destination candidate and the desired information indicating the condition of the attribute information indicating the receiving destination candidate specified by the patient. May be specified from among the candidates. More specifically, the matching support device 1 acquires desired information from the terminal 2 or the server 3.
  • the desired information includes, as attributes for specifying candidates for the receiving facility, information such as the area where the desired facility such as a patient is located, the cost of using the facility, and the date of construction of the facility.
  • the receiving destination specifying unit 18 specifies a facility where the information included in the desired information and the attribute information of the candidate receiving facility are the same. Then, the receiving destination specifying unit 18 indicates that the patient indicated by the patient ID wants to be accepted at the receiving destination candidate facility indicated by the facility ID, based on the facility ID and the patient ID included in the specifying request. Acceptance desired information may be generated.
  • the matching support device 1 can support the determination of the receiving facility such as the patient at an earlier stage by specifying the candidate of the receiving facility according to the recovery degree of the patient predicted by the recovery degree predicting unit 14.
  • the candidate specifying unit 15 specifies the receiving facility in accordance with the range of the degree of recovery of the patient, it is easy to determine an appropriate receiving facility in accordance with the degree of recovery of the patient. Further, by changing the acceptability condition according to the degree of the acceptability determination index, the accepting facility can be determined according to the situation of the accepting facility.
  • FIG. 8 is a functional block diagram of a matching support device according to a modification of the embodiment.
  • the matching support device 1 according to the modified example is different from the above-described matching support device 1 in that a discharge time prediction unit 13 is further provided.
  • the discharge time prediction unit 13 predicts the discharge time of a patient based on the past nursing history of a patient group corresponding to the attribute of the patient.
  • the discharge time prediction unit 13 may predict a certain day as a patient discharge time (discharge date), or may predict a discharge time of any length.
  • the control unit 11 of the matching support apparatus 1 When the discharge time prediction unit 13 is provided, the control unit 11 of the matching support apparatus 1 outputs each information included in the matching request to the discharge time prediction unit 13 and outputs a discharge time prediction instruction to the discharge time prediction unit 13. I do.
  • the discharge time prediction unit 13 reads the facility ID, the disease type of the patient, and the discharge time prediction model from the database 104.
  • the discharge time prediction model is generated in advance by using a machine learning method for each cluster based on the patient's disease type and the patient's physical attributes based on the patient's medical record information including information on the patient's discharge time.
  • the discharge time prediction model outputs a discharge time based on the current date and time based on the input of the patient's chart information.
  • the discharge time may be indicated by a specific one day, or may be indicated by a period in an appropriately determined range.
  • the discharge time prediction model may be generated by the matching support device 1. Alternatively, the discharge time prediction model may be generated by another machine learning device and stored in the database 104 of the matching support device 1 in advance, for example.
  • the discharge time prediction unit 13 inputs the patient's chart information included in the matching request to the discharge time prediction model, and predicts the discharge time using the discharge time prediction model.
  • the discharge time may indicate a specific date or a specific period.
  • the discharge time prediction unit 13 outputs to the control unit 11 the calculation completion of the discharge date (scheduled discharge date).
  • the control unit 11 outputs each information included in the matching request and the discharge date (scheduled discharge date) to the recovery degree prediction unit 14, and outputs a recovery degree prediction instruction to the recovery degree prediction unit 14.
  • each element including the recovery degree prediction unit 14 performs the above-described processing on the assumption that the patient will be transferred to the receiving facility on the discharge date (discharge scheduled date) or period predicted by the discharge time prediction unit 13.
  • FIG. 9 is a diagram showing acceptance conditions for each nursing type of a patient in a rehabilitation hospital one week after the request for matching is made.
  • the acceptance condition is indicated by the presence or absence of an empty floor. That is, the AA hospital, the BB hospital, and the CC hospital have vacant floors, so acceptance is possible ( ⁇ ), and the DD hospital is fully occupied, so acceptance is not acceptable (x).
  • the AA hospital and the BB hospital can accept or not accept patients suffering from infectious diseases, and the CC hospital can accept or not accept patients who suffer from infectious diseases. It is assumed that the acceptance change availability flag is negative.
  • the receiving condition output unit 17 outputs the AA hospital or the BB hospital as the receiving destination candidate.
  • the patient desires a hospital near his / her home as desired information.
  • the AA hospital is located at a distance of 3 km from the patient's home
  • the BB hospital is located at a distance of 10 km from the patient's home.
  • the receiving destination specifying unit 18 specifies to transfer to the AA hospital one week later as the receiving destination of the patient. As described above, by using the matching support device, it is possible to determine the destination facility for receiving a patient or the like earlier than the scheduled discharge date of the patient.
  • FIG. 10 is a diagram illustrating a configuration of the matching support apparatus.
  • the matching support device 1 includes at least a recovery degree prediction unit 14 and a candidate identification unit 15.
  • the recovery degree prediction unit 14 predicts the recovery degree of the patient.
  • the recovery degree prediction unit 14 also predicts the range of the recovery degree based on the past nursing history of the patient group corresponding to the attributes of the patient.
  • the candidate specifying unit 15 specifies candidates for a receiving facility that can receive a patient at a predetermined time based on the degree of recovery, the range of the degree of recovery, and the receiving conditions of each receiving facility.
  • the recovery degree prediction unit 14 predicts the recovery degree of the patient
  • the candidate specifying unit 15 specifies the candidate of the receiving facility based on the predicted recovery degree, so that it is at an earlier stage. It is possible to support the determination of the receiving facility for patients and the like.
  • the above-mentioned matching support device 1 has a computer system inside.
  • the processes of the above-described processes are stored in a computer-readable recording medium in the form of a program, and the above-described processes are performed by reading and executing the program by the computer.
  • the program may be for realizing a part of the functions described above. Furthermore, what can implement
  • the present invention may be applied to a matching support device, a matching support method, and a storage medium.

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Biomedical Technology (AREA)
  • General Business, Economics & Management (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

L'invention concerne un dispositif d'aide à l'appariement, comprenant : une unité de prédiction de niveau de récupération qui prédit le niveau de récupération d'un patient ; et une unité d'identification de candidat qui, sur la base du niveau de récupération et des conditions d'admission de chaque établissement d'une pluralité d'établissements d'admission, identifie parmi la pluralité d'établissements d'admission un candidat d'établissement d'admission qui est susceptible d'admettre le patient à un moment prescrit.
PCT/JP2019/039300 2018-10-05 2019-10-04 Dispositif d'aide à l'appariement, procédé d'aide à l'appariement, et support d'informations WO2020071540A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2020551114A JP7124879B2 (ja) 2018-10-05 2019-10-04 マッチング支援装置、マッチング支援方法、プログラム

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2018189826 2018-10-05
JP2018-189826 2018-10-05

Publications (1)

Publication Number Publication Date
WO2020071540A1 true WO2020071540A1 (fr) 2020-04-09

Family

ID=70055418

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2019/039300 WO2020071540A1 (fr) 2018-10-05 2019-10-04 Dispositif d'aide à l'appariement, procédé d'aide à l'appariement, et support d'informations

Country Status (2)

Country Link
JP (1) JP7124879B2 (fr)
WO (1) WO2020071540A1 (fr)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7018683B1 (ja) 2021-01-25 2022-02-14 株式会社3Sunny 施設情報提供方法、施設情報提供サーバ、施設情報提供プログラム及び施設情報提供システム
JP7082387B1 (ja) * 2021-01-25 2022-06-08 株式会社3Sunny 施設情報提供方法、施設情報提供サーバ、施設情報提供プログラム及び施設情報提供システム
WO2022215270A1 (fr) * 2021-04-09 2022-10-13 日本電気株式会社 Dispositif de génération de modèle de prédiction, procédé de génération de modèle de prédiction et support lisible par ordinateur non transitoire
WO2023042475A1 (fr) * 2021-09-16 2023-03-23 株式会社日立製作所 Système de mise en correspondance et procédé de mise en correspondance
JP2023104823A (ja) * 2022-01-18 2023-07-28 株式会社五右衛門 医療介護連携システム、医療介護連携サーバ、医療介護連携方法、及び医療介護連携プログラム

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005508556A (ja) * 2001-11-02 2005-03-31 シーメンス　メディカル　ソリューションズ　ユーエスエー　インコーポレイテッド 患者の状態を診断し予測するための患者データマイニング
JP2010039930A (ja) * 2008-08-07 2010-02-18 Npo Tokai Medinet Forum Ｘｄｓによる情報転送システムおよび方法
JP2011209885A (ja) * 2010-03-29 2011-10-20 Fujitsu Ltd 作業量見積プログラム、作業量見積方法及び作業量見積装置
JP2017207855A (ja) * 2016-05-17 2017-11-24 株式会社インタラクティブソリューションズ 医療従事者紹介装置、医療従事者紹介システム、医療従事者紹介プログラム、医療従事者紹介方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005508556A (ja) * 2001-11-02 2005-03-31 シーメンス　メディカル　ソリューションズ　ユーエスエー　インコーポレイテッド 患者の状態を診断し予測するための患者データマイニング
JP2010039930A (ja) * 2008-08-07 2010-02-18 Npo Tokai Medinet Forum Ｘｄｓによる情報転送システムおよび方法
JP2011209885A (ja) * 2010-03-29 2011-10-20 Fujitsu Ltd 作業量見積プログラム、作業量見積方法及び作業量見積装置
JP2017207855A (ja) * 2016-05-17 2017-11-24 株式会社インタラクティブソリューションズ 医療従事者紹介装置、医療従事者紹介システム、医療従事者紹介プログラム、医療従事者紹介方法

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7018683B1 (ja) 2021-01-25 2022-02-14 株式会社3Sunny 施設情報提供方法、施設情報提供サーバ、施設情報提供プログラム及び施設情報提供システム
JP7082387B1 (ja) * 2021-01-25 2022-06-08 株式会社3Sunny 施設情報提供方法、施設情報提供サーバ、施設情報提供プログラム及び施設情報提供システム
WO2022157955A1 (fr) * 2021-01-25 2022-07-28 株式会社3Sunny Procédé de fourniture d'informations de site, serveur de fourniture d'informations de site, programme de fourniture d'informations de site et système de fourniture d'informations de site
JP2022113621A (ja) * 2021-01-25 2022-08-04 株式会社3Sunny 施設情報提供方法、施設情報提供サーバ、施設情報提供プログラム及び施設情報提供システム
WO2022215270A1 (fr) * 2021-04-09 2022-10-13 日本電気株式会社 Dispositif de génération de modèle de prédiction, procédé de génération de modèle de prédiction et support lisible par ordinateur non transitoire
WO2023042475A1 (fr) * 2021-09-16 2023-03-23 株式会社日立製作所 Système de mise en correspondance et procédé de mise en correspondance
JP2023104823A (ja) * 2022-01-18 2023-07-28 株式会社五右衛門 医療介護連携システム、医療介護連携サーバ、医療介護連携方法、及び医療介護連携プログラム

Also Published As

Publication number Publication date
JPWO2020071540A1 (ja) 2021-09-02
JP7124879B2 (ja) 2022-08-24

Similar Documents

Publication Publication Date Title
WO2020071540A1 (fr) Dispositif d'aide à l'appariement, procédé d'aide à l'appariement, et support d'informations
US7664659B2 (en) Displaying clinical predicted length of stay of patients for workload balancing in a healthcare environment
CN101382972A (zh) 医疗资源信息共享方法及系统
US20110054946A1 (en) System and Method of Patient Flow and Treatment Management
US20080027754A1 (en) Patient Bed Search System
CN109545348B (zh) 一种基于蚂蚁系统优化的医院床位安排方法
CN113689943A (zh) 基于人工智能的就诊医院推荐方法、装置、设备及介质
Kobayashi et al. Impact on length of stay of a hospital medicine emergency department boarder service
Bishop et al. Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge
JP2009205359A (ja) 受付支援装置及び方法、並びに医用ネットワークシステム
JP6970414B2 (ja) 医療情報処理システム
JP7382741B2 (ja) 医療機関選定支援装置
US10431339B1 (en) Method and system for determining relevant patient information
JP7023037B2 (ja) 選択支援装置、選択支援方法、データ構造、学習済みモデルおよびプログラム
JP2015103231A (ja) 医療モール管理システム
JP2009086766A (ja) 医用ネットワークシステム並びに診療依頼管理装置及び方法
JP5575672B2 (ja) 病床管理支援システム、病床管理支援方法、及び病床管理支援プログラム
Blome et al. Ridesharing as an alternative to ambulance transport for voluntary psychiatric patients in the emergency department
KR102260091B1 (ko) 환자 입퇴원 예측 방법, 서버 및 컴퓨터프로그램
JP2018197929A (ja) 地域包括ケア事業システム
JP6136169B2 (ja) 退院サマリ編集プログラム、退院サマリ編集装置および退院サマリ編集方法
Wallace et al. Two methods for predicting limited life expectancy in nursing homes
McIntyre Evidence-based outreach strategies for minimizing coverage loss during unwinding
JP7505589B2 (ja) 医療施設マッチングシステム、医療施設マッチング方法、及び記録媒体
CA3054529C (fr) Systeme et procede de gestion d'assurance

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 19869798

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2020551114

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 19869798

Country of ref document: EP

Kind code of ref document: A1