Nursing monitoring system and method for nurse station

Abstract

The invention discloses a nursing monitoring system and method for a nurse station, and relates to the technical field of nursing monitoring, an independent monitoring and receiving unit is arranged to collect monitoring data of a target patient, a compression processing unit compresses the monitoring data, the monitoring data are grouped in the compression processing process, and the monitoring data are sent to the nurse station. The method comprises the following steps: grouping a plurality of to-be-processed arrays, extracting and evaluating the grouped to-be-processed arrays to determine a primary compressed word string, extending the primary compressed word string to determine a secondary compressed system number, selecting a shorter word string for the primary compressed system number and the secondary compressed system number for replacement, and setting a longer word string for the other four-bit binary numbers for replacement. In this way, the data capacity of the monitoring data of the patient can be greatly shortened, and storage compression is relieved; after the secondary compression system number is determined, the secondary compression system number is comprehensively evaluated, and secondary distinguishing is carried out on the secondary compression system number through an evaluation result, so that the compression efficiency of the monitoring data is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of nursing monitoring, and in particular to a nursing monitoring system and method for a nurse station. Background Art

[0002] In the field of modern medical care, with the rapid development of science and technology and the continuous improvement of patients' requirements for the quality of medical services, the nurse station, as the core hub of medical care, undertakes the important responsibilities of comprehensively monitoring many patients, coordinating nursing resources, and ensuring the safety and comfort of patients;

[0003] In the traditional nursing model, nurses mainly rely on manual regular ward inspections, manual recording of patients' vital signs data, and their own experience to judge changes in patients' conditions. This approach has many limitations. The time interval for manual inspections cannot ensure that sudden changes in patients' conditions can be discovered and handled in a timely manner, which can easily lead to the risk of delayed treatment. Manual data recording is not only inefficient, but also prone to recording errors or omissions, affecting the accuracy of subsequent medical decisions.

[0004] In order to overcome these problems, nursing monitoring systems have emerged. With the help of various advanced sensor technologies, such systems can collect and monitor patients' vital signs data (such as heart rate, blood pressure, blood oxygen saturation, body temperature, etc.), nursing process data (such as infusion progress, medication time and dosage, nursing operation records, etc.) and ward environment data (such as temperature, humidity, air quality, etc.) in real time and continuously. By centrally transmitting these data to the monitoring platform of the nurse station, medical staff can view and manage the conditions of multiple patients in real time in a relatively centralized location, greatly improving the efficiency and accuracy of nursing work;

[0005] However, with the increasing dimensions of data collected by the monitoring system, the increase in monitoring frequency and the increase in the number of patients, the amount of data is showing a sharp growth trend. For example, in the intensive care unit (ICU) of a large comprehensive hospital, dozens of patients may be monitored at high frequency with multiple parameters at the same time, and a huge amount of data will be generated every second. Such a huge amount of data has brought tremendous pressure to data storage. Limited storage resources cannot accommodate the massive data accumulated over a long period of time, resulting in a shortened data storage cycle, which is not conducive to the long-term tracking and analysis of patients' conditions.

[0006] In order to solve the above problems, the present invention proposes a solution. Summary of the invention

[0007] The purpose of the present invention is to provide a nursing monitoring system and method for a nurse station in order to solve the problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A nursing monitoring system for a nurse station, comprising:

[0010] An independent side receiving unit, used for receiving monitoring data of a target patient from a plurality of monitoring devices;

[0011] A compression processing unit, configured to compress the monitoring data of the target patient according to a preset compression rule after receiving the monitoring data of the target patient to obtain compressed monitoring document data of the target patient;

[0012] The compression processing unit is used to store the compressed monitoring document data of the target patient.

[0013] Furthermore, the monitoring data includes the target patient's heart rate, blood pressure, blood oxygen saturation, body temperature, infusion progress, medication time and dosage, nursing operation records, and ward environmental temperature, humidity and air quality data.

[0014] Furthermore, the compression rules for the compressed monitoring document data of the target patient are as follows:

[0015] S11: performing binary conversion on the monitoring data, and calibrating the converted data into monitoring binary data;

[0016] S12: from left to right, taking every four characters in the monitoring binary data as a group of arrays to be processed to obtain a plurality of groups of arrays to be processed, and marking all the groups of arrays to be processed as A1, A2, ..., Aa in sequence according to the order of each group of arrays to be processed in the monitoring binary data, where a≥1;

[0017] S13: extracting the first two characters constituting the array A1 to be processed to obtain the evaluation string of the array A1 to be processed, and similarly obtaining the evaluation strings of the arrays A2, A3, ..., Aa to be processed in sequence;

[0018] S14: Count the number of evaluation strings that are consistent with the two-bit binary number 00 in the evaluation strings of the arrays A1, A2, ..., Aa to be processed, and mark the number as the evaluation value B1 of the two-bit binary number 00. Similarly, the evaluation values ​​B2, B3 and B4 of the two-bit binary numbers 01, 10, 11 are obtained in sequence;

[0019] S15: Select two binary numbers corresponding to the largest and second largest evaluation values ​​from the evaluation values ​​B1, B2, B3, and B4 as the main compressed word string of the monitoring binary data, and mark them as C1 and C2 respectively.

[0020] S16: Determine the secondary compressed decimal numbers D2, D3, D4 of the primary compressed decimal string C1 and the secondary compressed decimal numbers E1, E2, E3, and E4 of the primary compressed decimal string C2 according to the primary compressed decimal strings C1 and C2;

[0021] S17: Comprehensively evaluate the secondary compressed decimal numbers D3, D4, E3, and E4 according to a preset evaluation rule;

[0022] S18: if after step S17, the secondary compressed base numbers of the primary compressed strings C1 and C2 have not been eliminated, the compressed strings of the to-be-processed arrays A1, A2, ..., Aa are obtained according to the preset first mapping rule;

[0023] If after step S17, the secondary compressed decimal numbers of the primary compressed strings C1 and C2 are removed, the compressed strings of the to-be-processed arrays A1, A2, ..., Aa are obtained according to the preset second mapping rule;

[0024] S19: Generate compressed monitoring document data of the monitoring data according to the compressed character strings of the arrays A1, A2, ..., Aa to be processed.

[0025] A nursing monitoring method for a nurse station comprises the following steps:

[0026] Step 1: The independent receiving unit receives the monitoring data of the target patient from a plurality of monitoring devices and transmits it to the compression processing unit;

[0027] Step 2: After receiving the monitoring data of the target patient, the compression processing unit compresses the monitoring data according to a preset compression rule to obtain compressed monitoring document data of the target patient, and transmits the compressed monitoring document data to the compression processing unit;

[0028] Step 3: The compression processing unit stores the compressed monitoring document data of the target patient after receiving it.

[0029] The present invention provides a nursing monitoring system and method for a nurse station, which has the following beneficial effects compared with the prior art:

[0030] The present invention collects the monitoring data of the target patient by setting an independent measurement receiving unit, and the compression processing unit compresses the monitoring data. During the compression processing, the monitoring data is grouped, and a plurality of to-be-processed arrays after the grouping are extracted and compared to determine the main compressed string, and the main compressed string is extended to determine the secondary compressed base number, and a shorter string is selected for the main compressed base number and the secondary compressed base number to replace, and a longer string is set for the remaining four binary numbers to replace, so that the data capacity of the patient's monitoring data can be greatly shortened, the storage capacity of the monitoring data is reduced, and the storage compression is alleviated;

[0031] The present invention conducts a comprehensive evaluation on the secondary compression base numbers after determining the secondary compression base numbers, and conducts secondary differentiation on the secondary compression base numbers according to the evaluation results, so as to improve the compression efficiency of the monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 is a system block diagram of the present invention;

[0033] Figure 2 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] See also Figure 1 , Figure 2 , the present application provides a nursing monitoring system and method for a nurse station, including an independent measurement receiving unit, a compression processing unit and a compression storage unit;

[0036] An independent measurement receiving unit is used to receive monitoring data of a target patient from a plurality of monitoring devices and transmit the data to the compression processing unit. In the present application, the monitoring device refers to a device that monitors various health indicators of the target patient. The monitoring data includes but is not limited to the patient's heart rate, blood pressure, blood oxygen saturation, body temperature, infusion progress, medication time and dosage, nursing operation records, and ward environment temperature, humidity, air quality and other data;

[0037] The compression processing unit is used to compress and store the monitoring data of the target patient. After receiving the monitoring data of the target patient, the compression processing unit compresses the monitoring data according to a preset compression rule to obtain compressed monitoring document data of the target patient. The compression rule is as follows:

[0038] S11: performing binary conversion on the monitoring data, and calibrating the converted data into monitoring binary data;

[0039] S12: from left to right, taking every four characters in the monitoring binary data as a group of arrays to be processed to obtain a plurality of groups of arrays to be processed, and marking all the groups of arrays to be processed as A1, A2, ..., Aa in sequence according to the order of each group of arrays to be processed in the monitoring binary data, where a≥1;

[0040] S13: extracting the first two characters constituting the array A1 to be processed to obtain the evaluation string of the array A1 to be processed, and similarly obtaining the evaluation strings of the arrays A2, A3, ..., Aa to be processed in sequence;

[0041] S14: Count the number of evaluation strings that are consistent with the two-bit binary number 00 in the evaluation strings of the arrays A1, A2, ..., Aa to be processed, and mark the number as the evaluation value B1 of the two-bit binary number 00. Similarly, the evaluation values ​​B2, B3 and B4 of the two-bit binary numbers 01, 10, 11 are obtained in sequence;

[0042] S15: Select two binary numbers corresponding to the largest and second largest evaluation values ​​from the evaluation values ​​B1, B2, B3, and B4 as the main compressed word string of the monitoring binary data, and mark them as C1 and C2 respectively.

[0043] S16: Determine the secondary compressed digits D2, D3, D4 of the primary compressed string C1 and the secondary compressed digits E1, E2, E3, and E4 of the primary compressed string C2 according to the primary compressed strings C1 and C2, as follows:

[0044] S161: extract the first two characters from the four-bit binary number of the number 0 from left to right to obtain a set of comment strings based on the number 0, and compare the comment strings with the main compressed string C1 for consistency. If the comparison is consistent, the four-bit binary number of the number 0 is used as the secondary compressed decimal number D1 of the main compressed string C1. Otherwise, no processing is performed:

[0045] S162: According to S161, the evaluation strings based on the numbers 1, 2, ..., 15 are sequentially compared with the main compressed string C1 for consistency, and the secondary compressed decimal numbers D2, D3, and D4 of the main compressed string C1 are obtained;

[0046] S163: According to S161 to S162, the evaluation string based on the numbers 0, 1, ..., 15 is compared with the main compressed string C2 in turn for consistency, and the secondary compressed numbers E1, E2, E3 and E4 of the main compressed string C2 are obtained:

[0047] S17: Comprehensively evaluate the secondary compression numbers D3, D4, E3, and E4 according to a preset evaluation rule to improve the compression efficiency of the monitoring system data. The comprehensive evaluation rule is as follows:

[0048] S171: Count the number of arrays to be processed that are consistent with the secondary compressed decimal numbers D3, D4, E3, and E4 in the arrays to be processed A1, A2, ..., Aa, respectively, and mark them as F1, F2, F3, and F4 respectively;

[0049] S172: Calculate the comprehensive proportion G1 of the secondary compressed decimal numbers D3, D4, E3, and E4 using the formula G1=(F1+F2+F3+F4) / a. If G1≥G, remove the secondary compressed decimal numbers D3, D4, E3, and E4 from the secondary compressed decimal numbers corresponding to the main compressed strings C1 and C2. Otherwise, do not perform any processing. G is the preset comprehensive evaluation index.

[0050] S18: If after step S17, the secondary compressed decimal numbers of the primary compressed strings C1 and C2 are not removed, the compressed strings of the to-be-processed arrays A1, A2, ..., Aa are obtained according to a preset first mapping rule. The first mapping rule is as follows:

[0051] SS11: Use character strings 00 and 01 as compression reference character strings of sub-compressed decimal numbers D1 and D2, respectively, and character strings 10 and 11 as compression reference character strings of sub-compressed decimal numbers E1 and E2, respectively;

[0052] SS12: Use character strings 010 and 011 as compression reference character strings of secondary compressed decimal numbers D3 and D4, respectively; use character strings 110 and 111 as compression reference character strings of secondary compressed decimal numbers E3 and E4, respectively;

[0053] SS13: Then label all the four-digit binary numbers of the numbers 0, 1, ..., 15 that are not used as sub-packed numbers as H1, H2, ..., H8 respectively;

[0054] SS14: The numbers of the arrays to be processed that are consistent with the four-bit binary numbers H1, H2, ..., H8 are obtained from the arrays to be processed A1, A2, ..., Aa in turn, and the corresponding four-bit binary numbers are re-marked as I1, I2, ..., I8 in descending order of the numbers. It should be noted here that the number of the arrays to be processed that are consistent with the four-bit binary number H1 is consistent with the four-bit binary number H1, and similarly, the remaining four-bit binary numbers correspond to the corresponding numbers obtained;

[0055] SS15: The character strings 0, 1, 000, 001, 100, 101 are respectively used as the compressed reference strings of the four-bit binary numbers I1, I2, ..., I6, and the four-bit binary numbers I7 and I8 are respectively used as the compressed reference strings of the four-bit binary numbers I7 and I8, that is, the compressed reference strings of I7 and I8 are themselves;

[0056] SS16: According to the array A1 to be processed, the sub-compressed base numbers D1, D2, D3, D4, E1, E2, E3, E4, and the four-bit binary numbers I1, I2, ..., I8 are traversed to obtain the sub-compressed base numbers or four-bit binary numbers that are consistent with the array A1 to be processed, and the obtained compressed reference string of the sub-compressed base numbers or four-bit binary numbers is used as the compressed string of the array A1 to be processed. Similarly, the compressed strings of the arrays A2, A3, ..., Aa to be processed can be obtained in sequence;

[0057] If after step S17, the secondary compressed decimal numbers of the primary compressed strings C1 and C2 are removed, the compressed strings of the to-be-processed arrays A1, A2, ..., Aa are obtained according to the preset second mapping rule. The second mapping rule is as follows:

[0058] SS21: Use character strings 00 and 01 as compression reference character strings of sub-compressed decimal numbers D1 and D2, respectively, and character strings 10 and 11 as compression reference character strings of sub-compressed decimal numbers E1 and E2, respectively;

[0059] SS22: label all the four-digit binary numbers of the numbers 0, 1, ..., 15 that are not used as sub-packed numbers as J1, J2, ..., J12 respectively;

[0060] SS23: The numbers of the arrays to be processed that are consistent with the four-bit binary numbers J1, J2, ..., J12 are obtained from the arrays to be processed A1, A2, ..., Aa, and the corresponding four-bit binary numbers are re-marked as K1, K2, ..., K12 in descending order. It should be noted that the number of the arrays to be processed that are consistent with the four-bit binary number J1 is consistent with the four-bit binary number J1, and similarly, the remaining four-bit binary numbers correspond to the corresponding numbers obtained;

[0061] SS24: The character strings 0, 1, 000, 001, 010, 011, 100, 101, 110, 111 are used as compressed reference strings of the four-bit binary numbers I1, I2, ..., I 10, respectively, and the four-bit binary numbers J11 and J12 are used as compressed reference strings of the four-bit binary numbers J11 and J12, respectively;

[0062] SS25: According to the array A1 to be processed, the sub-compressed base numbers D1, D2, E1, E2, and the four-bit binary numbers K1, K2, ..., K12 are traversed to obtain the sub-compressed base numbers or four-bit binary numbers that are consistent with the array A1 to be processed, and the compressed reference string of the obtained sub-compressed base numbers or four-bit binary numbers is used as the compressed string of the array A1 to be processed. Similarly, the compressed strings of the arrays A2, A3, ..., Aa to be processed can be obtained in sequence;

[0063] S19: Generate compressed monitoring document data of the monitoring data according to the compressed character strings of the arrays A1, A2, ..., Aa to be processed;

[0064] The compression processing unit transmits the compressed monitoring document data of the monitoring data of the target patient and all the sub-compression base data used in the compression process and their corresponding four-bit binary numbers to the compression storage unit for storage.

[0065] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0066] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A nursing monitoring system for a nurse station, characterized in that: include: An independent side receiving unit, used for receiving monitoring data of a target patient from a plurality of monitoring devices; A compression processing unit, configured to compress the monitoring data of the target patient according to a preset compression rule after receiving the monitoring data of the target patient to obtain compressed monitoring document data of the target patient; The compression processing unit is used to store the compressed monitoring document data of the target patient.

2. A nursing monitoring system for a nurse station according to claim 1, characterized in that: The monitoring data includes the target patient's heart rate, blood pressure, blood oxygen saturation, body temperature, infusion progress, medication time and dosage, nursing operation records, and ward environmental temperature, humidity and air quality data.

3. A nursing monitoring system for a nurse station according to claim 1, characterized in that: The compression rules for the compressed monitoring document data of the target patient are as follows: S11: performing binary conversion on the monitoring data, and calibrating the converted data into monitoring binary data; S12: from left to right, taking every four characters in the monitoring binary data as a group of arrays to be processed to obtain a plurality of groups of arrays to be processed, and marking all the groups of arrays to be processed as A1, A2, ..., Aa in sequence according to the order of each group of arrays to be processed in the monitoring binary data, where a≥1; S13: extracting the first two characters constituting the array A1 to be processed to obtain the evaluation string of the array A1 to be processed, and similarly obtaining the evaluation strings of the arrays A2, A3, ..., Aa to be processed in sequence; S14: Count the number of evaluation strings that are consistent with the two-bit binary number 00 in the evaluation strings of the arrays A1, A2, ..., Aa to be processed, and mark the number as the evaluation value B1 of the two-bit binary number 00. Similarly, the evaluation values ​​B2, B3 and B4 of the two-bit binary numbers 01, 10, 11 are obtained in sequence; S15: Select two binary numbers corresponding to the largest and second largest evaluation values ​​from the evaluation values ​​B1, B2, B3, and B4 as the main compressed word string of the monitoring binary data, and mark them as C1 and C2 respectively. S16: Determine the secondary compressed decimal numbers D2, D3, D4 of the primary compressed decimal string C1 and the secondary compressed decimal numbers E1, E2, E3, and E4 of the primary compressed decimal string C2 according to the primary compressed decimal strings C1 and C2; S17: Comprehensively evaluate the secondary compressed decimal numbers D3, D4, E3, and E4 according to a preset evaluation rule; S18: if after step S17, the secondary compressed base numbers of the primary compressed strings C1 and C2 have not been eliminated, the compressed strings of the to-be-processed arrays A1, A2, ..., Aa are obtained according to the preset first mapping rule; If after step S17, the secondary compressed decimal numbers of the primary compressed strings C1 and C2 are removed, the compressed strings of the to-be-processed arrays A1, A2, ..., Aa are obtained according to the preset second mapping rule; S19: Generate compressed monitoring document data of the monitoring data according to the compressed character strings of the arrays A1, A2, ..., Aa to be processed.

4. A nursing monitoring system for a nurse station according to claim 1, characterized in that: The step S16 of determining the secondary compressed binary numbers D2, D3, D4 of the primary compressed string C1 and the secondary compressed binary numbers E1, E2, E3, and E4 of the primary compressed string C2 is as follows: S161: extract the first two characters from the four-bit binary number of the number 0 from left to right to obtain a set of comment strings based on the number 0, and compare the comment strings with the main compressed string C1 for consistency. If the comparison is consistent, the four-bit binary number of the number 0 is used as the secondary compressed decimal number D1 of the main compressed string C1. Otherwise, no processing is performed: S162: According to S161, the evaluation strings based on the numbers 1, 2, ..., 15 are sequentially compared with the main compressed string C1 for consistency, and the secondary compressed decimal numbers D2, D3, and D4 of the main compressed string C1 are obtained; S163: According to S161 to S162, the evaluation string based on the numbers 0, 1, ..., 15 is compared with the main compressed string C2 for consistency, and the secondary compressed numbers E1, E2, E3 and E4 of the main compressed string C2 are obtained.

5. A nursing monitoring system for a nurse station according to claim 1, characterized in that: The comprehensive evaluation rule of the S17 for comprehensively evaluating the secondary compressed numbers D3, D4, E3, and E4 is as follows: S171: Count the number of arrays to be processed that are consistent with the secondary compressed decimal numbers D3, D4, E3, and E4 in the arrays to be processed A1, A2, ..., Aa, respectively, and mark them as F1, F2, F3, and F4 respectively; S172； The formula G1=(F1+F2+F3+F4) / a is used to calculate the comprehensive proportion G1 of the secondary compressed digits D3, D4, E3, and E4. If G1≥G, the secondary compressed digits D3, D4, E3, and E4 are removed from the secondary compressed digits corresponding to the main compressed strings C1 and C2. Otherwise, no processing is performed. G is the preset comprehensive evaluation indicator.

6. A nursing monitoring system for a nurse station according to claim 1, characterized in that: The first mapping rule for obtaining the compressed string of the arrays A1, A2, ..., Aa to be processed is as follows: SS11: Use character strings 00 and 01 as compression reference character strings of sub-compressed decimal numbers D1 and D2, respectively, and character strings 10 and 11 as compression reference character strings of sub-compressed decimal numbers E1 and E2, respectively; SS12: Use character strings 010 and 011 as compression reference character strings of sub-compressed decimal numbers D3 and D4, respectively; use character strings 110 and 111 as compression reference character strings of sub-compressed decimal numbers E3 and E4, respectively; SS13: Then label all the four-digit binary numbers of the numbers 0, 1, ..., 15 that are not used as sub-packed numbers as H1, H2, ..., H8 respectively; SS14: Obtain the numbers of the arrays to be processed that are consistent with the four-bit binary numbers H1, H2, ..., H8 from the arrays to be processed A1, A2, ..., Aa, and re-mark the corresponding four-bit binary numbers as I1, I2, ..., I8 in descending order of the numbers; SS15: The character strings 0, 1, 000, 001, 100, 101 are respectively used as the compressed reference strings of the four-bit binary numbers I1, I2, ..., I6, and the four-bit binary numbers I7 and I8 are respectively used as the compressed reference strings of the four-bit binary numbers I7 and I8, that is, the compressed reference strings of I7 and I8 are themselves; SS16: According to the array A1 to be processed, the sub-compressed base numbers D1, D2, D3, D4, E1, E2, E3, E4, and four-digit binary numbers I1, I2, ..., I8 are traversed to obtain the sub-compressed base numbers or four-digit binary numbers consistent with the array A1 to be processed, and the obtained compressed reference string of the sub-compressed base numbers or four-digit binary numbers is used as the compressed string of the array A1 to be processed. Similarly, the compressed strings of the arrays A2, A3, ..., Aa to be processed can be obtained in sequence.

7. A nursing monitoring method for a nurse station, characterized in that: The following steps are involved: Step 1: The independent receiving unit receives the monitoring data of the target patient from a plurality of monitoring devices and transmits it to the compression processing unit; Step 2: After receiving the monitoring data of the target patient, the compression processing unit compresses the monitoring data according to a preset compression rule to obtain compressed monitoring document data of the target patient, and transmits the compressed monitoring document data to the compression processing unit; Step 3: The compression processing unit stores the compressed monitoring document data of the target patient after receiving it.

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