Medical information processing system, medical information processing method and medical information processing program

0001The present invention relates to a medical information processing system, a medical information processing method, and a medical information processing program for calculating a standard time of care for a patient by a medical staff such as a nurse.

0002Traditionally, there are various technologies that support the work of medical staff who care for patients. For example, in Patent Document 1, by touch operation from the nurse worksheet screen 70 displayed on the display input unit 24A of the nurse business support mobile terminal 14, the detailed information of the desired patient, the nursing result such as the end of the nursing action, etc. Is input and sent to the nurse business support server 12.

<p num="0003"><patcit num="1"><text>Japanese Unexamined Patent Publication No. 2013-140532</text></patcit></p>

<p num="0004"> However, in the above-mentioned conventional technique, when the nursing action supported by the nurse work support screen 400 is completed, the information of the nursing result is only transmitted to the nurse work support server 12, and how the nurse works. There was a problem that it was not possible to grasp the work performed by the nurse, such as how much time it took for the nursing practice and how much the nurse was burdened by the nursing practice.</p><p num="0005"> The present invention has been made in view of the above, and provides a medical information processing system, a medical information processing method, and a medical information processing program capable of grasping the work performed by medical staff such as nurses. With the goal.</p>

<p num="0006"> In order to solve the above-mentioned problems and achieve the object, the medical information processing system according to the present invention includes a sensor receiving device, an infrared sensor and an acceleration sensor, and has a frequency based on the measured value of the acceleration sensor. A frequency measuring device that repeatedly outputs the identification information of the sensor receiving device that has communicated by infrared rays, the reception time of the identification information, and the reception information in which the identification information is associated with the own identification information, and the reception information is received from the frequency measuring device. The receiving unit, the reception information received by the receiving unit, the identification information of the frequency measuring device, the medical staff attribute information in which the level indicating the specialty of the medical staff wearing the frequency measuring device is associated, and the sensor. Medical history that stores the identification information of the receiving device, the patient attribute information in which the location of the patient and the severity of the patient are associated with each other, the identification information of the frequency measuring device, the location of the patient, and the care for the patient in a time series. It is characterized by including a data processing unit that calculates statistical values regarding the time required for the care and the frequency for each care and each level indicating the severity and specialty of the patient based on the information. It is configured as a medical information processing system.</p><p num="0007"> The present invention is also understood as a medical information processing method and a medical information processing program performed by the medical information processing system.</p>

<p num="0008"> According to the present invention, it is possible to grasp the work performed by medical staff such as nurses.</p>

0009<figref num="1">It is a figure which shows the configuration example of the medical information processing system in this embodiment.</figref><figref num="2">It is a figure which shows the example of the medical staff attribute DB.</figref><figref num="3">It is a figure which shows the example of the patient attribute DB.</figref><figref num="4">It is a figure which shows the example of the medical history DB.</figref><figref num="5A">It is a figure which shows the example of the sensor receiver table.</figref><figref num="5B">It is a figure which shows the example of the frequency measurement sensor table.</figref><figref num="6A">It is a figure which shows the example of the care standard time DB (treatment care).</figref><figref num="6B">It is a figure which shows the example of the care standard time DB (patient care).</figref><figref num="7">It is a flowchart which shows the processing procedure of care standard time calculation processing.</figref><figref num="8">It is a figure which shows the example of the work table for a sensor.</figref><figref num="9">It is a figure which shows the example of the work table for a sensor which added a frequency.</figref><figref num="10">It is a figure which shows the example of the work table for a sensor which added a room number, a bed number, a treatment classification, and a treatment name.</figref><figref num="11">It is a figure which shows the example of the work table for a sensor which added the severity and the need for nursing.</figref><figref num="12">It is a figure which shows the example of the work table for a sensor which added the profession level.</figref><figref num="13">It is a figure which shows the example of the work table for a level.</figref><figref num="14">It is a figure which shows the example of the work table for calculation.</figref><figref num="15">It is a figure which shows the example of the work table for a level which added the average value of a frequency and the sum of time.</figref><figref num="16">It is a figure which shows the example of the work table for the updated level.</figref><figref num="17">It is a figure which shows another example of the medical history DB.</figref>

0010Hereinafter, embodiments of a medical information processing system, a medical information processing method, and a medical information processing program according to the present invention will be described in detail with reference to the accompanying drawings.

0011FIG. 1 is a diagram showing a configuration example of a care statistical information calculation system 1000 to which the medical information processing system according to the present embodiment is applied. As shown in FIG. 1, the care statistical information calculation system 1000 includes a frequency measurement sensor 100, a sensor receiving device 200, a PC (Personal Computer) 300, and a server device 400. The PC 300 and the server device 400 are connected by a general network such as a LAN (Local Area Network).

0012The frequency measurement sensor 100 is a portable sensor worn by medical staff and has a built-in memory, and performs infrared communication with the sensor receiver 200 in accordance with various communication standards such as IrDA (Infrared data Association). .. The frequency measurement sensor 100 is realized by, for example, a business microscope (registered trademark), and has an infrared sensor and an acceleration sensor.

0013Specifically, as will be described later, the frequency measurement sensor 100 measures acceleration (that is, movement of medical staff) by an acceleration sensor, converts the measured value into frequency, and is a sensor within a communicable range by an infrared sensor. Infrared communication with the receiver 200. When the frequency measurement sensor 100 receives the sensor receiver ID which is the identification information of the sensor receiver 200, the frequency converted from the measured value, the sensor receiver ID, the reception time, and the sensor ID which is the identification information of the frequency measurement sensor 100 The received information associated with is repeatedly stored in the built-in memory.

0014The sensor receiving device 200 is a device installed near a hospital room or a bed and performs infrared communication with the frequency measuring sensor 100. The sensor receiving device 200 is realized by, for example, an infrared beacon, and when receiving a signal from the frequency measuring sensor 100, the sensor receiving device 200 transmits its own sensor receiving device ID to the frequency measuring sensor 100 within a communicable range.

0015The PC 300 is a general computer capable of communicating via a network, reads the received information stored in the frequency measurement sensor 100 via the network, transmits the received information to the server device 400, and uploads the received information. In this embodiment, the received information is uploaded to the server device 400 via the PC 300, but the frequency measurement sensor 100 may directly transmit the received information.

0016The server device 400 is a general server capable of communicating via a network, and is based on the received information received from the frequency measurement sensor 100, the attributes of the medical staff and the patient, and the medical history of the patient, and the standard time of care for the patient by the medical staff. Etc. are calculated.

0017As shown in FIG. 1, the server device 400 includes a medical staff attribute database (hereinafter referred to as DB) 401, a patient attribute DB 402, a medical history DB 403, a reception information DB 404, a care standard time DB 405, and a receiver. It is composed of 406 and a standard care time calculation unit 407.

0018The medical staff attribute DB401 is a database that stores medical staff attribute information indicating the attributes of medical staff who provide treatment care or patient care to a patient. Treatment care is medical care that includes testing and measurement of a patient, maintenance of instruments for testing and measurement, and monitoring of test and measurements. Treatment care is, so to speak, static, indirect, and passive care for the patient, and includes in-hospital work that does not directly involve the patient. Patient care is medical care that includes support for the patient's daily condition and behavior. Patient care is, so to speak, dynamic, direct, and active care for the patient, and includes medical services such as medical examination, nursing, and examination that are directly related to the patient.

0019FIG. 2 is a diagram showing an example of the medical staff attribute DB401. As shown in FIG. 2, the medical staff attribute DB401 includes the sensor ID, the age and gender of the medical staff wearing the frequency measurement sensor 100 identified by the sensor ID, the years of experience of the medical staff, and the professional level. The number of years worked in the ward is stored in association with it.

0020Figure 2 shows, for example, that the medical staff identified by the sensor ID "10026B7" is a 23-year-old woman, with both years of experience and ward service of one year, and a professional level of "A". ing. The profession level is the specialty of each of the various cares that medical staff provide to patients (eg, wound treatment, blood pressure measurement, etc. for treatment care, transfer, oral care, etc. for patient care). It is an index showing the level, and the longer the number of years of experience in the care, such as A "1 to 2 years", B "3 to 5 years", C "6 to 10 years", and D "11 years". It will be a high level. This information is stored in the medical staff attribute DB401 in advance. Next, the patient attribute DB402 will be described.

0021The patient attribute DB 402 is a database that stores patient attribute information indicating the attributes of patients who receive care from medical staff.

0022FIG. 3 is a diagram showing an example of patient attribute DB402. As shown in FIG. 3, the patient attribute DB402 includes a sensor receiver ID, a room number for identifying a hospital room, a bed number for identifying a bed in the hospital room, and the age and sex of the patient. The date and time when the patient came to the bed (date of entering the bed), the date and time when the patient left the bed (date of leaving the bed), and the degree to which the patient needs care. The calculation date of the need for nursing, the severity of the patient, and the need for nursing are stored in association with each other. Nursing need further has monitoring and treatment (index A) indicating the need for treatment care and patient status (index B) indicating the need for patient care.

0023In FIG. 3, for example, the sensor receiver 200 with the sensor receiver ID 206002 is installed near the bed with bed number 2 in East Room 206, and the patient using that bed is a 46-year-old man. It is shown that. In addition, the patient's bed date and time was 10:00 on September 24, 2013, indicating that he is still using the bed. In addition, the calculation date of the need for nursing, that is, the date and time when the medical staff cared for the patient was 8 o'clock on October 3, 2013, and the severity of the patient at this time was "1". It is shown that. This is because index A has 3 points and index B has 6 points.

0024The severity is predetermined based on the values of Indicator A and Indicator B described above. As shown in Fig. 3, when the index A points are 2 or more and the index B points are 3 or more, the severity is 1, the index A points are 2 or more, and the index B points are less than 3. If the severity is 2, the point of index A is less than 2, and the point of index B is 3 or more, the severity is 3, the point of index A is less than 2, and the point of index B is less than 3. The higher the point of each index, the higher the severity, such as a severity of 4, which requires more careful treatment and patient care (ie, more care is needed and it takes longer to respond). )It is shown that.

0025Also, in Figure 3, the patient using the bed with bed number 2 had a severity of 1 at 8 o'clock on October 3, 2013, but at 8 o'clock on October 4, 2013. The severity was 4, indicating that the need for nursing was reduced due to, for example, improvement of symptoms, effects of treatment care and patient care, and the like. In this way, the patient attribute DB 402 accumulates the nursing necessity and severity of each patient at the time of care in a time-series history. This information is stored in the patient attribute DB 402 in advance. Next, the medical history DB403 will be described.

0026The medical history DB403 is a database that stores the treatment care and patient care performed by the medical staff on the patient in chronological order.

0027FIG. 4 is a diagram showing an example of the medical history DB403. As shown in FIG. 4, the medical history DB403 stores the sensor ID, the hospital room number, the date and time of care, and the treatment care and the patient care in association with each other. Further, treatment care includes items predetermined by predetermined guidelines such as wound treatment, blood pressure measurement, urine volume measurement, respiratory care, infusion line, and confirmation of ECG (Electrocardiogram) monitor. Similarly, patient care includes items predetermined by predetermined guidelines, such as transfer, oral care, dietary assistance, and putting on and taking off clothes.

0028In FIG. 4, for example, a medical staff wearing a frequency measurement sensor 100 identified by the sensor ID 100026B7 became a patient with bed number 2 in East Room 206 at 8:30 on October 3, 2013. On the other hand, urine volume was measured, blood pressure was measured for the patient with bed number 1 in the same room at 9:00, and respiratory care and bed for the patient with bed number 2 at 9:30. It indicates that he took care of the transfer from the patient to something other than the bed. In this way, the medical history DB403 records the patients in the hospital room and bed number who provided care for each sensor ID (that is, for each medical staff wearing the frequency measurement sensor) in chronological order (example shown in FIG. 4). Then, I remember it (every day). For example, this information is stored in the medical history DB 403 in advance on the previous day for the current day. Next, the received information DB404 will be described.

0029The reception information DB404 is a database that stores the reception information received from the PC300. The reception information DB 404 stores the sensor receiver table 4041 and the frequency measurement sensor table 4042.

0030The sensor receiver table 4041 is a table that stores the frequency measurement sensor 100 that has been infrared-communicated with the sensor receiver 200 and its date and time in a time series. The data stored in the sensor receiving device table 4041 is stored in the table after the sensor receiving device ID, the receiving time, and the sensor ID included in the received information are read by the receiving unit 406.

0031FIG. 5A is a diagram showing an example of the sensor receiver table 4041. As shown in FIG. 5A, the sensor receiver table 4041 stores the sensor receiver ID, the hour and minute indicating the date and time indicating the date, and the sensor ID in association with each other. In FIG. 5A, for example, the sensor receiver 200 identified by the sensor receiver ID 206002 is identified by the sensor ID 100026B7 at 1 minute intervals from 8:21 to 8:26 on October 3, 2013. It shows that infrared communication was performed with the frequency measurement sensor 100. Subsequently, the frequency measurement sensor table 4042 will be described.

0032The frequency measurement sensor table 4042 is a table that stores the frequency measurement sensor 100, the frequency measured by the frequency measurement sensor, and the date and time thereof in a time series. The data stored in the frequency measurement sensor table 4042 is stored in the table after the sensor ID, reception time, and frequency included in the reception information are read by the receiving unit 406.

0033FIG. 5B is a diagram showing an example of the frequency measurement sensor table 4042. As shown in FIG. 5B, the frequency measurement sensor table 4042 stores the sensor ID, the time and minute indicating the date and time indicating the date, and the frequency in association with each other. In Figure 5B, for example, the sensor receiver 200 identified by the sensor receiver ID "206002" has a nurse movement of 2.6 MHz at 8:21 and 2.8 at 8:22 on October 3, 2013. It indicates that it is measured at 1-minute intervals, such as MHz. Next, the care standard time DB405 will be described.

0034Standard Time of Care DB405 is a table that stores statistics on treatment and patient care by care, patient severity, and profession level. The data stored in the care standard time DB405 is calculated by the care standard time calculation unit 407 and stored in the table.

00356A and 6B are diagrams showing an example of the care standard time DB405. As shown in Fig. 6, the care standard time DB405 has a care name indicating each item included in treatment care and patient care, and an index related to the care (standard time, standard deviation, standard frequency related to care, standard deviation related to frequency). And the index value for each professional level for each severity are stored in association with each other. The standard time is the standard value of the time required for the medical staff to perform care, and the standard deviation is the standard deviation of the time. In addition, the standard frequency for care is the standard value of the frequency measured when the medical staff performs care, and the standard deviation is the standard deviation of the frequency.

0036In FIG. 6, for example, the standard time for wound treatment in treatment care for a patient with a certain bed number is 5 minutes 34 seconds (level A) and 5 minutes 18 seconds (level A), respectively, for each profession level. Level B), 3 minutes 56 seconds (level C), 2 minutes 28 seconds (level D), indicating that the time is getting shorter as the level goes up. The standard deviation for patient care, the standard frequency, and the standard deviation for frequency are also stored for each profession level. The calculation of each information of the care standard time DB405 will be described later using a flowchart. Subsequently, returning to FIG. 1, the receiving unit 406 will be described.

0037The receiver 406 receives the reception information stored in the frequency measurement sensor 100 via the PC 300, and inputs the values of the sensor receiver table 4041 shown in FIG. 5A and the frequency measurement sensor table 4042 shown in FIG. 5B. Record.

0038The care standard time calculation unit 407 refers to the sensor receiver table 4041 and frequency measurement sensor table 4042 recorded by the receiver 406, the medical staff attribute DB401, the patient attribute DB402, and the medical history DB403 that are stored in advance, and refers to the care standard time. Calculate the value of each item in DB405. The specific processing performed by the receiving unit 406 and the care standard time calculation unit 407 will be described later using a flowchart.

0039The functions executed by each of these parts are actually programs (data receiving program, care standard) in which an arithmetic unit such as a CPU (Central Processing Unit) is stored in a memory such as a ROM (Read Only Memory). It is realized by executing the time calculation program). The program may also be provided as a file in an installable or executable format recorded on a computer-readable recording medium such as a CD-ROM, flexible disk (FD), CD-R, or DVD. It is possible. Further, the program may be stored on a computer connected to a network such as the Internet, downloaded via the network and provided or distributed, or may be configured to be provided by being incorporated in a ROM or the like in advance. Next, the processing (care standard time calculation processing) performed by this system will be described.

0040FIG. 7 is a flowchart showing a processing procedure of the care standard time calculation process performed by the care statistical information calculation system 1000.

0041As shown in FIG. 7, in the care standard time calculation process, first, the care standard time calculation unit 407 searches the sensor receiver table 4041 of the reception information DB404 using the sensor ID of the medical staff attribute DB401 as a key, and is used for the sensor. Generate a work table (S701).

0042FIG. 8 is a diagram showing an example of a work table for a sensor. As shown in FIG. 8, the sensor work table stores the sensor ID as a key, the sensor receiving device ID, and the date and time when the frequency measurement sensor 100 and the sensor receiving device communicate with each other by infrared rays. ing. In the example shown in FIG. 8, the frequency measurement sensor 100 identified by the sensor ID 100026B7 is identified by the sensor receiver ID 206002 from 8:21 to 8:26 on October 3, 2013. It indicates that the sensor receiver has been communicated with infrared rays. By performing the process of this step, it is possible to grasp which frequency measurement sensor 100 was in infrared communication with which sensor receiver 200 (that is, the location of the medical staff who wore the frequency measurement sensor 100) every hour. Can be done.

0043Subsequently, the care standard time calculation unit 407 searches the frequency measurement sensor table 4042 of the received information DB404 using the sensor ID of the medical staff attribute DB401 as a key, and adds the frequency to the sensor work table (S702).

0044FIG. 9 is a diagram showing an example of a work table for a sensor to which a frequency is added. As shown in FIG. 9, in the sensor work table, the frequencies measured for each date and hour and minute are stored in association with the sensor ID, the sensor receiving device ID, and the like. Figure 9 shows that the frequency converted from the acceleration measured at 8:21 on October 3, 2013 was 2.6 MHz. By executing the process of this step, it is possible to grasp the frequency of the frequency measurement sensor 100 (that is, the movement of the medical staff wearing the frequency measurement sensor) that was in infrared communication with the sensor receiver 200 every hour. You can.

0045The care standard time calculation unit 407 searches the medical history DB403 using the sensor ID, date, and hour / minute of the sensor work table as keys, and adds the room number, bed number, treatment classification, and treatment name to the sensor work table. (S703).

0046FIG. 10 is a diagram showing an example of a work table for a sensor to which a room number, a bed number, a treatment classification, and a treatment name are added. As shown in FIG. 10, in addition to the added frequencies, the room number, bed number, care classification, and care name are stored in the sensor work table in association with the sensor ID, the sensor receiver ID, and the like. ing. In Fig. 10, from 8:21 to 8:26 on October 3, 2013, urine volume measurement and monitor-mounted treatment care were performed for the patient with bed number 2 in East Room 206. I understand. By executing the process of this step, it is possible to grasp hourly what kind of care was given by the medical staff wearing the frequency measurement sensor in which room, at what frequency, and at what frequency.

0047Next, the care standard time calculation unit 407 searches the patient attribute DB402 using the room number, bed number, date, and hour / minute of the sensor work table as keys, and the date and hour / minute are "years of arrival at the bed". Severity and nursing necessity of "more than a month" and "within the date of getting out of the bed" or "more than the date of coming to the bed" and "the date of getting out of the bed is Null" Add to the sensor work table (S704). Patients who satisfy the conditions of "more than the date of coming to the bed" and "within the date of leaving the bed" are patients who were in the bed to be searched for as a key during that time and were receiving nursing care. Patients who meet the conditions of "more than the date of coming to bed" and "the date of getting out of the bed is Null" indicate that they are still in the bed and receiving nursing care.

0048FIG. 11 is a diagram showing an example of a work table for a sensor to which the severity and the need for nursing are added. As shown in FIG. 11, the added severity and nursing necessity are stored in the sensor work table in association with the sensor ID, the sensor receiving device ID, and the like. In Figure 11, the patient with bed number 2 in East Room 206 had a severity of "1" between 8:21 and 8:26 on October 3, 2013, in treatment and patient care. Nursing needs were "3" and "6", respectively, but at 8:26 on October 4, 2013, the severity was "3" and the nursing needs for treatment and patient care were, respectively. It shows that it has dropped to "1" and "4". By performing the process of this step, the medical staff provided what kind of treatment care and patient care to patients of what severity and patients who were currently in bed or were in bed at some point in time. It can be grasped hourly.

0049Subsequently, the care standard time calculation unit 407 searches the medical staff attribute DB401 using the sensor ID of the sensor work table as a key, and adds the professional level to the sensor work table (S705).

0050FIG. 12 is a diagram showing an example of a work table for a sensor to which a profession level has been added. As shown in FIG. 12, the added profession level is stored in the sensor work table in association with the sensor ID, the sensor receiver ID, and the like. In Figure 12, the patient with bed number 2 in East Room 206 wore a frequency measurement sensor 100 with sensor ID "100026B7" from 8:21 to 8:26 on October 3, 2013 at the professional level. It turns out that it was being cared for by a nurse who was "A". By performing the process of this step, it is possible to grasp hourly what kind of professional level nursing staff was caring for the patient.

0051The care standard time calculation unit 407 calculates the number of consecutive (minutes + 1) data from the minimum value of the date and hour, using the professional level, severity, and care name of the sensor work table as keys, and performs the treatment. Generate a level work table consisting of start time / end time and their difference (S706).

0052FIG. 13 is a diagram showing an example of a work table for levels. As shown in FIG. 13, the level work table stores the profession level, the care name, the patient's severity, the date and time (start time and end time), and the time in between. Has been done. In Figure 13, for example, a urine volume measurement by a professional level A nursing staff for a patient of severity 1 between 8:21 and 8:26 on October 3, 2013 is 6.0. It shows that it was a minute. By performing the process of this step, it is possible to understand how much time the nursing staff needs for care at each profession level for each patient's severity.

0053Subsequently, the care standard time calculation unit 407 searches the sensor work table using the professional level, date, start time, and end time of the sensor work table as keys, and calculates these items, the treatment name, and the frequency. Generate a work table for (S707).

0054FIG. 14 is a diagram showing an example of a work table for calculation. As shown in FIG. 14, the calculation work table stores the profession level, date, start time and end time, the name of care performed at that time, and the frequency measured at that time in association with each other. In Figure 14, at 8:21 on October 3, 2013, urine volume measurement care was provided by professional level A medical staff, and the frequency measured at that time was 2.6 MHz. It is shown that. By performing the process of this step, it is possible to grasp the frequency measured when the nursing staff performs care for each profession level for each care and each time.

0055The care standard time calculation unit 407 calculates the average value of the frequencies and the total time of the calculation work table and adds them to the level work table (S708).

0056FIG. 15 is a diagram showing an example of a work table for a level to which the average value of the frequency and the sum of the time are added. As shown in FIG. 15, in the level work table, in addition to each item of the level work table shown in FIG. 13, the average value of the frequency and the total time are stored in association with each other. In Figure 15, the frequencies measured by professional level A nursing staff during urine volume measurements for patients of severity 1 between 8:21 and 8:26 on October 3, 2013. Indicates that the average was 2.6 MHz. By performing the process of this step, it is possible to grasp the average value of the frequency at the time of care by the nursing staff and the total time required for the care for each profession level for each severity of the patient.

0057Then, the care standard time calculation unit 407 determines whether or not the process has been executed for all the frequency measurement sensors 100 (S709), and determines that the process has not been executed for all the frequency measurement sensors 100 (S709). ; No), return to S701, repeat the subsequent processing, and update the work table for the level.

0058FIG. 16 is a diagram showing an example of an updated level work table. As shown in Figure 16, the level worktable provides the time required for care and the frequency measured at that time by profession level, care name, severity, date, hour and minute (start and end times). Is stored in association with. By performing the process of this step, the average time and frequency required for care can be obtained for all medical staff by profession level, care, and severity.

0059If the care standard time calculation unit 407 determines that processing has been performed for all frequency measurement sensors 100 (S709; Yes), the total time and frequency according to the professional level, treatment name, and severity of the work table for the level. Calculate the average value and standard deviation of each of the above values, and register these values in the care standard time DB405 shown in Fig. 6 (S710). When the processing of S710 is completed, all the processing shown in FIG. 7 is completed.

0060In this way, since each of the above-mentioned processes is executed in this system, the time required for care and the frequency at that time can be statistically grasped for each patient's severity, medical staff's professional level, and care name. can do. For example, the time and frequency required for care depends on the degree of skill of the nurse and the severity of the patient's medical condition, such as how much time is required for which care by which professional level medical staff, and the frequency at that time. Can be grasped statistically.

0061In addition, the medical staff themselves can analyze their own problems and factors related to care by checking the time required for care and the frequency at which care is performed. Furthermore, even in medical institutions such as hospitals that have medical staff, the cause of problems can be quantitatively and logically grasped from the software side (personnel), and by continuously using this system, it is based on the PDCA cycle. It is possible to measure the effect and realize sustainable business improvement.

0062In this embodiment, the time and frequency required for care calculated by the care standard time calculation unit 407 are directly used as the care standard time DB405, but the result when the medical staff takes care is recorded in the medical history DB403 shown in FIG. If the result does not meet a certain threshold, or if the change from the previous day is more than a certain level, or if it does not meet a certain standard, more careful care is considered necessary. Therefore, in such a case, the care standard time calculation unit 407 may weight the time calculated in S706 and store it in the level work table.

0063For example, as shown in FIG. 17, when the result of urine volume measurement in the treatment care recorded in the medical history DB403 is recorded as 100 ml, it is compared with the reference value and the amount of change from the previous day. If the standard value is not met or if there is a change above a certain level, the standard care time calculation unit 407 determines that more careful care is required than in the normal state, and the level work shown in Fig. 13 is required. Record the time after multiplying the time in the table by a percentage that indicates a constant buffer (eg 1.2). In this case, care that is more suitable for the patient's situation can be provided.

0064In addition, the care standard time calculation unit 407 improved the severity by using the patient attribute DB402 as a key for the sensor receiver ID, hospital room number, bed number, age, gender, date of entering the bed, and date of leaving the bed. A patient (or a patient who has deteriorated) may be identified, and the fact that the severity of the patient has improved (or worsened) may be transmitted to the PC 300, and the PC 300 may display it on a display device (not shown).

0065For example, in the patient attribute DB402 shown in FIG. 3, the patient using the bed with bed number 2 is between the time of 8 o'clock on October 3, 2013 and the time of 8 o'clock on October 4, 2013. As the severity changes from 1 to 4 and the need for nursing is reduced, the Standard Time of Care 407 may notify the patient that the patient's symptoms have improved. In this case, the above-mentioned statistical values can be grasped, the medical staff can grasp the change in the severity of the patient, and the care for other patients with high severity can be prioritized, and the judgment according to the situation can be made. can do.

0066Further, in this embodiment, the time and frequency required for care are calculated for each predetermined care, but the frequency value measured by the frequency measurement sensor 100 is determined by the medical staff wearing the sensor. It depends on the type of care given to the patient. Therefore, contrary to the above-described embodiment, it is possible to infer what kind of care is being performed from the measured frequency value.

0067For example, when a medical staff measures blood pressure for a patient in the treatment care, the measured frequency value becomes smaller due to less body movement, while the transfer in the patient care is performed. In that case, the value of the measured frequency becomes large because the movement of the body increases. In this way, the measured acceleration and the frequency converted from the acceleration differ depending on the type of care provided to the patient by the medical staff. Therefore, the range of frequencies assumed for each type of care is determined in advance. If a frequency in that range is measured, the standard care time calculator 407 can also presume that the medical staff has provided care for the patient corresponding to that frequency. In the example shown in Fig. 5B, the frequency is 2.6MHz on average between 8:21 and 8:23, while the frequency is 4.6MHz at 9:45, and it moves during this time. It can be judged that a lot of care was given. By performing such processing, it is possible to verify whether the medical staff is correctly caring for the patient according to a predetermined item such as the medical history DB403.

0068The present invention is not limited to the above-mentioned examples, and includes various modifications. For example, in the present embodiment, each database is stored in one device, but a part or all of the database may be stored in another device depending on the data capacity. Further, not only the database but also all or a part thereof including the receiving unit 406 of the server device 400 and the care standard time calculation unit 407 may be provided on the PC 300 side. Further, in this embodiment, a nurse is mainly described as an example of a medical staff, but it can be applied to various tasks such as a care welfare worker who cares for a patient.

00691000 Care statistics calculation system 100 frequency measurement sensor 200 sensor receiver 300 PC 400 server equipment 401 Medical staff attribute DB 402 Patient attribute DB 403 Medical history DB 404 Received information DB 405 Standard Time DB 406 Receiver 407 Care Standard Time Calculator N network