JP2020021422A - Biological information and task management system, method and program - Google Patents

Abstract

To provide a biological information and task management system, method and program.SOLUTION: A biological information and business management system includes: means for receiving biological information of a patient; means for executing aggravation prediction for each patient and each disease on the basis of the biological information to create a determination result obtained by dividing emergency patients and on call risk patients; means for creating a search tree about a combination of tasks in home-visit nursing and nurse candidates in charge; means for deleting nodes unnecessary for search from the search tree; means for searching an optimum solution of the search tree by a branch and bound method; means for creating a schedule for a nurse on the basis of the optimum solution; means for creating a list of nurses having a free time; and means for allocating an emergency patient to the schedule of a nurse having a free time on the basis of the determination result obtained by dividing emergency patients and on call risk patients and the list of nurses having a free time.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a biological information / business management system, method, and program.

  The number of users of the home-visit nursing service (hereinafter referred to as “patients”) is increasing year by year, and the number of elderly patients is expected to increase further in the future. In home-visit nursing, a nurse visits a patient's home based on a facility generally called a home-visit nursing station.

  The manager of the home-visit nursing service (hereinafter referred to as a manager) manages the schedule of nurses based on a combination of the contract contents of the patient and the desired working hours of the nurse. The schedule management takes into account various requirements such as the patient's symptoms, the experience of visiting the nurse, and the personal compatibility between the patient and the nurse.

  Nurses have a large work load for home-visit nursing because emergency response may occur, there are many work items to visit, and there are insufficient nurses. The work items at the time of visit include acquisition of biological information such as blood pressure and electrocardiogram, simple medical treatment, assistance, and office work.

  In addition to the schedule management work based on various requirements, the manager can change the schedule due to a change in the condition of the patient, the life of the patient or the nurse, and the like, so that the work load for the schedule management is large. Managers also needed to manage their schedules to reduce the physical, mental and financial burden on the travel time and the means by which nurses travel to the patient's home.

  Therefore, there is a demand for a system that can reduce the workload of visiting care for nurses and the workload of managing schedules.

  An object of the present invention is to provide a biological information / business management system, method, and program for solving such a problem. More specifically, an object of the present invention is to provide a biological information system for predicting the severity of a disease based on biological information obtained from a patient, a business management system, a method, and a program for determining a visit schedule of a nurse.

  One embodiment of the present invention, the biological information and business management system is a means for receiving the biological information of the patient, and based on the biological information, executes a prediction of severity for each patient and each disease, and calls the emergency patient on-call A means for creating a judgment result classified into risk patients, a means for creating a search tree for a combination of work and nurses in charge of home visit nursing, a means for deleting unnecessary nodes from the search tree, and a branch and limit Means for searching the optimal solution of the search tree by the method, means for creating a nurse's schedule based on the optimal solution, means for creating a list of nurses who have free time, and classification into emergency patients and on-call risk patients Means for assigning an emergency patient to a schedule of a nurse with free time based on the determined result and the list of nurses with free time.

  ADVANTAGE OF THE INVENTION According to this invention, a nurse can reduce the work load concerning an emergency response etc. by grasping | ascertaining an emergency patient at an early stage based on a patient's biometric information and taking a measure. Further, by obtaining the biological information on the patient's side, the nurse can reduce the work load at the time of visiting. Further, since schedules are automatically created based on various requirements, the administrator can reduce the workload of the nurse on schedule management.

1 is a diagram illustrating a configuration of a biological information / business management system according to an embodiment of the present invention. FIG. 3 is a diagram illustrating a search tree according to an embodiment of the present invention. It is a figure which illustrates the processing flow of the severity prediction based on biological information which concerns on one Embodiment of this invention. It is a figure which illustrates the processing flow of the schedule management of the home-visit nursing service which concerns on one Embodiment of this invention. FIG. 2 is a diagram illustrating a configuration of a biological information management server according to an embodiment of the present invention. It is a figure which illustrates the function of the living body information management server concerning one embodiment of the present invention. FIG. 3 is a diagram illustrating functions of a business management server according to an embodiment of the present invention.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In a plurality of drawings, the same reference numerals denote the same elements, and a duplicate description will be omitted.

  FIG. 1 is a diagram exemplifying a configuration of the biological information / work management system according to the present embodiment. FIG. 1 schematically illustrates a biometric information acquisition device 100, a user device 110, a network 120, a biometric information system 130, and a business management system 140. FIG. 1 also illustrates a configuration in which the biological information system 130 includes a biological information management server 131 and a biological information DB 132. FIG. 1 further exemplifies a configuration in which the task management system 140 includes a task management server 141, a nurse information DB 142, a patient information DB 143, a non-assignable information DB 144, and a visit history information DB 145.

  The biological information acquisition device 100 is, for example, a pulse oximeter, a sphygmomanometer, an activity meter, a body composition meter, a blood glucose meter, or the like, or a measurement device or the like that combines them, and can acquire biological information of a patient. . The biological information can be pulse, arrhythmia, SPO2 (percutaneous arterial oxygen saturation), blood pressure, body temperature, blood sugar level, heart rate, electrocardiogram, weight, steps, running count, active energy, etc. However, the information to be obtained may be different for each disease. The biometric information acquisition device 100 may be configured to select measurement each time a patient performs an acquisition start operation, or to perform periodic and continuous automatic measurement assuming a bedridden patient or the like. The biometric information acquisition device 100 can transmit the acquired biometric information to the user device 110 via wireless communication or wired communication.

  The user device 110 is a device operated by a patient, and may be, for example, a smartphone, a tablet, a PC, or the like. The user device 110 can also receive an input of the patient's medication (number of times), and can transmit the biological information and the medication (number of times) received from the biological information acquisition device 100 to the biological information management server 131. The user device 110 may install an application capable of performing wireless communication or wired communication with the biological information acquisition device 100 and managing an acquisition schedule of the biological information.

  The network 120 can be a well-known network that allows the user device 110 and the biometric information management server 131 to communicate with each other, and is not particularly limited.

  The biological information management server 131 is a server that predicts the severity of each patient and each disease based on the received biological information. The biological information management server 131 stores the biological information received from the user device 110 in the biological information DB 132. The biological information management server 131 may provide a GUI that allows a doctor, a nurse, or the like (hereinafter, referred to as “medical worker”) to view the biological information of the patient.

  The biological information DB 132 is a database that stores biological information of a patient. The biological information may be configured to store, for example, the latest one month.

  For example, if continuous measurement is performed twice a day and twice a time, a total of 28 pieces of data can be acquired in one week. The biological information management server 131 performs 10% trim averaging on all 28 data for the last week, excluding two data from the maximum value and the minimum value, respectively, and calculates an average value from the 24 data. . Since the average value takes into account changes over time, a moving average for each week is calculated using three weeks of the average value of the week before the last week, the average value of the previous week, and the average value of the current week.

  The biological information management server 131 can predict the severity of each patient and each disease based on the calculated average value of the biological information. Hereinafter, examples of the types of the disease for which the severity is predicted are described as terminal care, diabetic severe hypoglycemia, chronic heart failure, and angina pectoris / myocardial infarction, but the types of the disease are not limited thereto.

(Terminal care)
The biological information management server 131 determines the severity of the terminal care by using the following discriminant analysis equation (1).

Here, a, b, c, d , e are constants, y is dying 48 hours prior to determination value, x ₁ is the pulse, x ₂ blood pressure, x ₃ is SPO2, x ₄ body temperature, e is a constant Term (eg, average value for multiple patients). If y> 0, the biological information management server 131 determines that it is 48 hours before the end.

(Severe diabetes and hypoglycemia)
The biological information management server 131 determines the prediction of aggravation of diabetes mellitus / hyperglycemia by using the following discriminant analysis equation (2).

Here, a, b, c, d, and e are constants, y is a judgment value of severe hypoglycemia, x ₁ is a blood glucose level, x ₂ is a blood pressure, x ₃ is a heart rate, x ₄ is a body temperature, e Is a constant term (for example, the average value of a large number of patients). When y> 0, the biological information management server 131 determines that the condition is severe hypoglycemia (emergency patient).

(Chronic heart failure)
The biological information management server 131 determines the prediction of aggravation during the exacerbation period of chronic heart failure by using the following discriminant analysis equation (3).

Here, a, b, c, d , e, f, g is a constant, the determination value of y is exacerbations of chronic heart failure, x ₁ is the blood pressure, x ₂ are pulse, x ₃ electrocardiogram, x ₄ body weight, x ₄ is SPO2, x ₆ is medication, g is a term constant (e.g., the average value of a number patients). When y> 0, the biological information management server 131 determines the exacerbation period (emergency patient) of chronic heart failure.

(Angina, myocardial infarction)
The biological information management server 131 determines the prediction of the severity of angina pectoris / myocardial infarction by the following discriminant analysis equation (4).

Here, a, b, c, d, e are constants, y is the determination value of angina pectoris and myocardial infarction, x ₁ is the blood pressure, x ₂ are pulse, x ₃ electrocardiogram, x ₄ is medication, e is a constant term (for example, the average value of a large number of patients). If y> 0, the biological information management server 131 determines that the patient is an angina pectoris / myocardial infarction (emergency patient).

  The biological information management server 131 predicts whether the patient is an urgent patient (y> 0) or an on-call risk patient with low urgency (y ≦ 0) in the above-mentioned severity prediction for each disease. Is transmitted to the business management server 141. When it is determined that the patient is an urgent patient based on the result of the determination of the severity of the disease, an alert, an email, or the like may be transmitted to a device such as a PC or a smartphone handled by a medical worker, or an external medical system. The on-call risk patients of the determination result may be classified based on the degree of severity prediction (deviation), for example, the stage having the lowest urgency and being in a stable period, the stage requiring follow-up observation, and the like.

  The biological information management server 131 can receive diagnostic data on actual symptoms diagnosed by a medical worker. The diagnostic data includes, for example, data including information that the blood pressure of a patient with angina pectoris / myocardial infarction is reduced but urgency is not recognized. 131. The biological information management server 131 compares the determination result of the disease severity prediction with the diagnosis data, extracts parameters that need to be corrected in the equations (1) to (4) of discriminant analysis applied to each patient, and performs diagnosis. Correct based on data. The correction of the parameter can eliminate the determination error due to individual differences such as the age and gender of the patient, and can improve the accuracy of the prediction of illness. The correction of the parameters can also utilize the artificial intelligence that learns past in which past corrections are needed and correlates them with information such as disease, patient, temperature, and time. The artificial intelligence can also analyze a large amount of biological information of each patient, continuously learn individual differences such as the age and gender of the patient, and use it for parameter correction.

  The biological information management server 131 may calculate an average value from biological information of a plurality of patients grouped by common characteristics such as the same disease, same sex, same age, and correct parameters.

  The biological information management server 131 may perform a secondary prediction of a shift to another disease with respect to the prediction of the severity of a patient having multiple diseases. For example, if a patient suffering from chronic heart failure and angina pectoris / myocardial infarction is determined to be an emergency patient with angina pectoris / myocardial infarction in the prediction of severity, but is determined to be an on-call risk patient with chronic heart failure There can be. The biological information management server 131 may perform correction so that a formula for discriminant analysis applied to a patient with multiple diseases and a formula for prediction of severity applied to a patient with a single disease use different parameters, The parameter may be corrected based on the past transfer statistics to other diseases.

  The biological information management server 131 tallies the biological information for each patient and each disease for each acquisition time period (for example, morning, noon, evening), and analyzes the time period that is likely to be determined as an emergency patient based on the mode value or the like. You may. The analysis result of the time zone in which the patient is likely to be determined to be an emergency patient is included in the determination result of the severity prediction or transmitted to the business management server 141 separately.

  The job management server 141 is a server that manages the schedule of the nurse based on the contract contents of the patient, the basic working hours of the nurse, the determination result of the severity prediction, and the like. The business management server 141 can create a list of nurses who have free time in the schedule and a list of on-call risk patients. The task management server 141 may provide a GUI by which the administrator can input basic information of a nurse, basic information of a patient, information on non-assignment, and the like. The input information is stored in the nurse information DB 142, the patient information DB 143, and the non-assignable information DB 144, respectively.

  The nurse information DB 142 is a database that stores basic information of a nurse. The basic information of a nurse can include, for example, a nurse ID, a name, an address, an area, a telephone number, a basic working time, and the like, but is not limited thereto.

  The patient information DB 143 is a database that stores basic information of a patient. The basic information of the patient can include, for example, information such as a patient ID, a name, an address, an area, a telephone number, a contract content, and a degree of need for nursing care, but is not limited thereto. The contract content includes information such as a day of the week, a time zone, a work content, and a contract period.

  The non-assignable information DB 144 is a database that stores information on combinations that the nurse cannot assign to the patient. The information of the combination may include, for example, information such as nurse ID, patient ID, mental burden (claims, sexual harassment, violence / language, advice / guidance for nurses, time extension is required). However, it is not limited to these. The combination information may be registered by a nurse or administrator.

  The visit history information DB 145 is a database that stores history information of visits made by nurses to patients. The history information can include, for example, information such as a nurse ID, a patient ID, date and time, work content, and required time, but is not limited thereto. The history information can be registered from a known attendance information system, work report data, and the like.

  The task management server 141 can create a search tree having a node of a combination of nurses in charge of a task for performing a predetermined task. The job is a nursing operation performed by a nurse visiting a patient's home, and is determined based on the area of the nurse information DB 142, basic working hours, the area of the patient information DB 143, the address, the contract details, the degree of care required, and the like. . Referring to FIG. 2A, for example, it is exemplified that a node is determined by a combination of nurses A, B,.

  The job management server 141 determines the schedule of the nurse by searching the created search tree by a branch-and-bound method (for example, the alpha-beta method, etc.) for the nurse who is a candidate in charge of the job. Can be.

  The business management server 141 can use the search conditions to score the nurse's burden. The scoring is, for example, as a physical burden of a nurse, (a) 3 to 15 points obtained by multiplying x3 points by the need of nursing care 1 to 5 in the certification requiring nursing care, and (b) the number of visits four or more times a week × 1 point or the like. The degree of care required is stored in the patient information DB 143, and the number of visits is obtained by counting the visit history information DB 145. The scoring is further performed, for example, as a mental burden of a nurse, (c) claims for nurses x 1 point, (d) sexual harassment x 1 point, (e) violence / language x 1 point, (f) advice There is much guidance and time extension is required x 1 point. The mental burden is stored in the in-charge information DB 144. Scoring is evaluated at 3-20 points per patient by summing (a) through (f). Patients are rated as having a higher burden on nurses with higher scores.

  The business management server 141 deletes nodes that do not need to be searched from the search tree. The task management server 141 deletes the node of the nurse whose combination with the patient is not possible, based on the information of the combination in the in-charge information DB 144. The job management server 141 also deletes the node of the nurse having no visit history based on the history information of the visit history information DB 145. The operation management server 141 further deletes the node of the nurse whose operation time does not match the basic operation time of the nurse based on the basic operation time of the nurse information DB 142. For example, referring to FIG. 2 (b), if the condition that the nurse A cannot take charge of the task Y and the nurse B cannot take charge of the task Z is satisfied, the node is deleted. Remove nodes that you do not want. In the branch and bound method, the search after the node of the deleted nurse is not performed.

  The business management server 141 searches for an optimal solution of the search tree by the branch and bound method. The search is performed when the work interval is longer than a predetermined time, the moving distance is shorter than a predetermined distance, the burden of the nurse is less than a predetermined score (for example, 40 points), It is possible to execute the program including conditions such as whether the person is in charge of the job continuously (there is a bias in the job). The search can reduce the burden on the nurse by including conditions such as the work interval, the moving distance, the total points, and the bias in charge per visit per day of nursing care. In the branch and bound method, a search is not performed for nodes subsequent to a node that is not the optimum solution for the search. That is, if there is a node that satisfies the condition most during the search, the search after the node that does not match the condition is not performed.

  The business management server 141 creates a nurse schedule based on the searched optimal solution. The job management server 141 may also create a list of nurses who have free time. The list of nurses who have free time is created when the work interval is longer than a predetermined time, the travel distance is shorter than a predetermined distance, or the burden of the nurse is less than a predetermined score (for example, 40 points). , Or to be continuously in charge of a specific patient.

  The job management server 141 uses the list of nurses who have free time and the result of the seriousness prediction received from the biometric information management server 131 to schedule a patient determined to be an emergency patient as a nurse who has free time. Can be assigned to

  The task management server 141 may be added as a condition for determining the schedule of the nurse based on the analysis result of the time zone easily determined to be an emergency patient received from the biological information management server 131. For example, although the contract content of the patient is a content to visit at "noon", the time zone in which the patient is easily determined to be an emergency patient may be "morning". The business management server 141 may add a time zone of “morning” as a condition in the search for a business charge candidate. By visiting at a time when the patient is likely to be determined to be an emergency patient, the patient and the nurse can optimize the time for home-visit nursing.

  The business management server 141 can create a list of on-call risk patients based on the determination result of the severity prediction received from the biological information management server 131. The list of on-call risk patients may be prioritized, for example, according to the stage of the emergency. The business management server 141 can create data that can be contacted with the nurse every time the day when the on-call occurs, by matching the list of on-call risk patients with the list of nurses who have free time.

  FIG. 2 is a diagram illustrating a search tree according to an embodiment of the present invention. FIG. 2A illustrates a search tree in which, for example, a node in which the candidate in charge of job X is nurse A is set as a root node, and a combination of nurses A, B, and no assigned nurse is assigned as nodes in jobs Y and Z. I do. Since FIG. 2A is a part of the search tree, a combination or the like in which the root node is assigned to nurse B as the candidate for job X and a node without the assigned nurse is omitted. FIG. 2B illustrates a search tree in a state where unnecessary nodes have been deleted. FIG. 2B shows that, in the case where the nurse A cannot take charge of the task Y and the nurse B cannot take charge of the task Z, a node that does not meet the condition is deleted. This is indicated by a cross. FIG. 2B also shows that all the nodes after the cross are deleted because the search after the node of the nurse deleted by the branch and bound method is not performed.

  FIG. 3 is a diagram exemplifying a processing flow of severity prediction based on biological information according to an embodiment of the present invention. Hereinafter, a case where a patient acquires biological information at home using the biological information acquiring device 100 and the user device 110 will be described.

  S301: The biological information acquisition device 100 acquires biological information of a patient. For example, the biological information acquisition device 100 acquires the blood pressure, pulse, and electrocardiogram of a patient with angina pectoris / myocardial infarction. The biometric information acquisition device 100 transmits the acquired biometric information to the user device 110 via wireless communication or wired communication.

  S302: The patient uses the user device 110 to input medication (number of times) as necessary. For example, a patient with angina pectoris / myocardial infarction uses the user device 110 to input medication (number of times) indicating that a prescribed medication has been taken. The patient may omit the input of the medication (the number of times) if the patient does not use the medication (the number of times) for the determination of the discriminant expression (for example, diabetes mellitus and severe hypoglycemia).

  S303: The user device 110 transmits the biological information and the medication (the number of times of taking) to the biological information management server 131 via the network 120.

  S304: The biological information management server 131 makes a prediction of severity for each patient and each disease based on the biological information. As the biological information, for example, a value obtained by calculating a moving average for each week from data for three weeks may be used. Prediction of severity is determined by an equation of discriminant analysis of multivariate analysis defined for each disease to determine whether the patient is an urgent patient (y> 0) or an on-call risk patient with low urgency (y ≦ 0) can do. For example, the prediction of the severity of a patient with angina pectoris / myocardial infarction can be obtained by the aforementioned equation (4).

  S305: The biological information management server 131 transmits, to the business management server 141, a determination result of the seriousness prediction in which the emergency patient and the on-call risk patient are classified in the seriousness prediction after the disease. When it is determined that the patient is an urgent patient based on the result of the determination of the severity of the disease, an alert, an email, or the like may be transmitted to a device such as a PC or a smartphone handled by a medical worker, or an external medical system.

  S306: The biological information management server 131 receives diagnostic data on actual symptoms diagnosed by the medical staff. The diagnostic data includes, for example, data including information that the blood pressure of a patient with angina pectoris / myocardial infarction is reduced but urgency is not recognized. 131.

  S307: The biological information management server 131 compares the determination result of the disease severity prediction with the diagnosis data, and extracts parameters that need to be corrected in Equations (1) to (4) of the discriminant analysis applied to each patient. , Based on the diagnostic data. The correction of the parameter can eliminate the determination error due to individual differences such as the age and gender of the patient, and can improve the accuracy of the prediction of illness.

  In this way, the nurse can reduce the work load required for emergency response and the like by quickly grasping the emergency patient based on the patient's biological information and taking a measure. Further, by obtaining the biological information on the patient's side, the nurse can reduce the work load at the time of visiting.

  FIG. 4 is a diagram exemplifying a processing flow of schedule management of home-visit nursing work according to an embodiment of the present invention. Hereinafter, a case where a visiting schedule of a nurse in the visiting nursing service is created will be described.

  S401: The task management server 141 creates a search tree having a node of a combination of nurses in charge of a task for performing a predetermined task. The job is a nursing operation performed by a nurse visiting a patient's home, based on the area of the nurse information DB 142, the basic working hours, the area of the patient information DB 143, the address, the contract contents, the contract period, the degree of care required, and the like. To decide.

  S402: The business management server 141 deletes nodes that do not need to be searched from the search tree. The job management server 141 is, for example, a node of a nurse who cannot be combined with a patient, a node of a nurse who has never been in charge of a patient (has no visit history), and a work time adapted to the basic work time of the nurse. Delete the node of the nurse who does not.

  S403: The business management server 141 searches for an optimal solution of the search tree by the branch and bound method. The search is performed when the work interval is longer than a predetermined time, the moving distance is shorter than a predetermined distance, the burden of the nurse is less than a predetermined score (for example, 40 points), To be in charge (consistently in charge) or other conditions. Nurses' burden is scored in advance for physical and mental burden.

  S404: The task management server 141 creates a nurse schedule based on the searched optimal solution. The job management server 141 may create a list of nurses who have free time. The list of nurses who have free time is created when the work interval is longer than a predetermined time, the travel distance is shorter than a predetermined distance, or the burden of the nurse is less than a predetermined score (for example, 40 points). , Or to be continuously in charge of a specific patient.

  By doing so, a schedule based on various requirements is automatically created, so that the manager can reduce the workload of the nurse on schedule management.

  In another embodiment, the prediction of severity may be determined by a threshold value in place of the discriminant analysis equation or in combination with the solution of the discriminant analysis equation. For example, the biological information management server 131 determines that the average value of SPO2 is reduced by 10% or more, and the average values of diastolic blood pressure value and systolic blood pressure value are reduced by 10% or more, for example, 48 hours before the end of terminal care. May be determined. The biological information management server 131, for example, decreases the average blood glucose level to a range of 24 to 42 mg / dL, increases the average diastolic blood pressure value to 180 or more, and increases the average systolic blood pressure value to 120 or more. Is determined as diabetic severe hypoglycemia (emergency patient) based on the condition (1). The biological information management server 131 may determine whether the average value of the pulse is in an exacerbated period of chronic heart failure (emergency patient ) Is determined. The biological information management server 131 determines, for example, angina pectoris / myocardial infarction (emergency patient) based on conditions such as pulse increase, pulse rhythm irregularity, pulse deficiency, electrocardiographic ST elevation, and electrocardiographic ST depression. . The threshold value may be corrected based on the diagnostic data in the same manner as the parameters of the discriminant analysis equation.

  Further, in another embodiment, the business management server 141 uses the list of nurses who have free time and the determination result of the severity prediction received from the biometric information management server 131 to identify a patient determined to be an emergency patient. It may be assigned to the schedule of a nurse who has free time. The task management server 141 may further create a list of on-call risk patients based on the determination result of the severity prediction received from the biological information management server 131. The list of on-call risk patients may be prioritized, for example, according to the stage of the emergency. The business management server 141 can create data that can be contacted with the nurse every time the day when the on-call occurs, by matching the list of on-call risk patients with the list of nurses who have free time. In this way, a nurse who has free time can have a system capable of handling emergency patients and on-call risk patients.

  FIG. 5 is a diagram illustrating a configuration of the biological information management server 131 according to an embodiment of the present invention. As illustrated in FIG. 5, a control unit 501, a main storage unit 502, an auxiliary storage unit 503, an operation unit 504, an IF unit 505, and a display unit 506 are connected by a bus 507 and the like. Further, the business management server 141 can be configured similarly to the configuration illustrated in FIG.

  The control unit 501 is a central processing unit (CPU), and can control each component of the biometric information management server 131 and calculate data. The main storage unit 502 is a main memory, and can store various kinds of input data, computer-executable instructions, data after arithmetic processing by the instructions, and the like. The auxiliary storage unit 503 is a storage device such as a hard disk (HDD) and is used when data and programs are stored for a long time. The control unit 501 can read a program stored in the auxiliary storage unit 503 into the main storage unit 502 and execute the program. The operation unit 504 includes a keyboard, a mouse, and the like, and can receive various operations of the application and input data. The IF unit 505 is an interface for transmitting and receiving data to and from another system or device. The display unit 506 is configured by a display or the like, and can provide various screens of the application.

  FIG. 6 is a diagram illustrating functions of the biological information management server 131 according to an embodiment of the present invention. The receiving unit 601 can receive biological information and actual diagnostic data by a medical worker. The severity prediction execution unit 602 performs a severity prediction for each patient and each disease based on the biological information, and is an emergency patient (y> 0) or an on-call risk patient with low urgency (y ≦ 0) It is possible to create a judgment result of the prediction of aggravation of the severity, which is classified as to The analysis unit 603 can perform tallying for each patient and disease for each biological information acquisition time zone, and can analyze a time zone in which the patient is likely to be determined to be an emergency patient in the prediction of seriousness. The parameter correction unit 604 can compare the result of the seriousness prediction with the diagnostic data and correct the parameter of the seriousness prediction.

  FIG. 7 is a diagram illustrating functions of the business management server 141 according to the embodiment of the present invention. The search tree creation unit 701 can create a search tree for a combination of a job in home-visit nursing and a nurse as a candidate for charge. The node deleting unit 702 can delete unnecessary nodes from the created search tree. The search execution unit 703 can search for the optimal solution of the search tree by the branch and bound method. The schedule creation unit 704 can create a nurse's schedule based on the optimal solution. The list creation unit 705 can create a list of nurses who have free time in the schedule and a list of on-call risk patients. The schedule assigning unit 706 can assign the emergency patient to the schedule of the nurse who has free time based on the determination result classified into the emergency patient and the on-call risk patient and the list of nurses who have free time.

  Further, processing may be delegated and information may be linked between the biological information system 130 and the business management system 140. Although the respective processes are described separately for the sake of explanation, the processes may be integrated and linked so that a part or all of the processes included in each process is performed by the other.

  As described above, the principle of the present invention has been described with reference to the exemplary embodiments. However, various embodiments in which configurations and details are changed can be realized without departing from the gist of the present invention. That is, the present invention can adopt embodiments as a system, an apparatus, a method, a program, a storage medium, or the like, for example.

REFERENCE SIGNS LIST 100 biometric information acquisition device 110 user device 120 network 130 biometric information system 131 biometric information management server 132 biometric information DB
140 business management system 141 business management server 142 nurse information DB
143 Patient Information DB
144 Non-assignable information DB
145 Visit history information DB
501 Control unit 502 Main storage unit 503 Auxiliary storage unit 504 Operation unit 505 IF unit 506 Display unit 507 Bus 601 Receiving unit 602 Severity prediction execution unit 603 Analysis unit 604 Parameter correction unit 701 Search tree creation unit 702 Node deletion unit 703 Search execution Section 704 Schedule creation section 705 List creation section 706 Schedule assignment section

Claims (11)

Means for receiving biological information of the patient;
Based on the biological information, executing a prediction of severity for each patient and each disease, means to create a determination result classified into emergency patients and on-call risk patients,
Means for creating a search tree for a combination of a nurse and a candidate nurse in charge of home-visit nursing;
Means for deleting unnecessary nodes from the search tree;
Means for searching for an optimal solution of the search tree by a branch and bound method;
Means for creating a nurse's schedule based on the optimal solution;
A means to create a list of nurses who have free time;
Means for assigning the emergency patient to the schedule of the nurse with free time, based on the judgment result classified into the emergency patient and the on-call risk patient and the list of nurses with free time,
With the system. It further comprises a means for performing aggregation by the time of acquisition of the biological information for each patient and each disease, and for analyzing a time zone that is likely to be determined as the emergency patient in the prediction of seriousness,
The searching means adds a time zone that is likely to be determined as the emergency patient as a condition,
The system according to claim 1. Means for receiving biological information of the patient;
Based on the biological information, performing a severer prediction for each patient and each disease, means to classify emergency patients and on-call risk patients,
Means for receiving actual diagnostic data by healthcare professionals;
Means for comparing the result of the severity prediction and the diagnostic data, and correcting the parameters of the severity prediction,
With the system.   The system according to claim 3, wherein the correcting unit further calculates an average value from the biological information of the plurality of patients grouped, and corrects the parameter of the severity prediction.   The system according to claim 3 or 4, wherein the disease is one or more of terminal care, diabetic severe hypoglycemia, chronic heart failure, and angina pectoris / myocardial infarction. Means for creating a search tree for a combination of a nurse and a candidate nurse in charge of home-visit nursing;
Means for deleting unnecessary nodes from the search tree;
Means for searching for an optimal solution of the search tree by a branch and bound method;
Means for creating a nurse's schedule based on the optimal solution;
With the system. The node that does not need to be searched is one of a node of a nurse that cannot be combined with a patient, a node of a nurse without a visit history, and a node of a nurse whose working hours do not match the basic working hours of the nurse. Or multiple nodes,
The searching means may determine whether the nurse's work interval is longer than a predetermined time, whether the nurse's travel distance is equal to or less than a predetermined distance, or the score of the nurse's burden is a predetermined score. Search based on one or more of the following criteria: whether to be less than or to be continuously assigned to a particular patient;
The system according to claim 6. A method performed by a computer, comprising:
Receiving the patient's biometric information;
Based on the biological information, by performing a worsening prediction for each patient and each disease, to create a determination result classified into emergency patients and on-call risk patients,
Creating a search tree for the combination of work and candidate nurses in home-visit nursing;
Deleting unnecessary nodes from the search tree;
Searching for an optimal solution of the search tree by a branch and bound method;
Creating a nurse's schedule based on the optimal solution;
Make a list of nurses who have free time,
Assigning the emergency patient to the schedule of the nurse with free time, based on the judgment result classified into the emergency patient and the on-call risk patient and the list of nurses with free time,
A method that includes A method performed by a computer, comprising:
Receiving the patient's biometric information;
Based on the biological information, by performing a worsening prediction for each patient and each disease, to be classified into emergency patients and on-call risk patients,
Receiving actual diagnostic data by healthcare professionals;
Comparing the result of the severity prediction and the diagnostic data, and correcting the parameters of the severity prediction,
A method that includes A method performed by a computer, comprising:
Creating a search tree for the combination of work and candidate nurses in home-visit nursing;
Deleting unnecessary nodes from the search tree;
Searching for an optimal solution of the search tree by a branch and bound method;
Creating a nurse's schedule based on the optimal solution;
A method that includes   A program for causing a computer to execute the method according to any one of claims 8 to 10.

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