Nursing management system and method based on intravenous infusion of tumor patient

Abstract

The invention relates to the technical field of intravenous infusion nursing management, in particular to a nursing management system and method based on tumor patient intravenous infusion. The method comprises the following steps: acquiring component information of to-be-injected liquid medicine and pathological information of a tumor patient, analyzing based on the component information of the to-be-injected liquid medicine and the pathological information of the tumor patient to obtain an intravenous infusion permission index of the patient, and judging whether the to-be-injected liquid medicine meets the intravenous infusion requirement or not based on the intravenous infusion permission index of the patient. Based on the bottom pressure value, the intravenous infusion dripping speed of the liquid medicine labeling segment is calculated, and based on the intravenous infusion dripping speed of the liquid medicine labeling segment and the heart rate of the tumor patient, the tumor patient intravenous infusion risk value of the liquid medicine labeling segment is calculated; according to the tumor patient intravenous infusion risk value early warning system and method, the infusion risk of the tumor patient during intravenous infusion can be warned in time, and the intravenous infusion risk is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of intravenous infusion nursing management, and in particular to a nursing management system and method based on intravenous infusion for tumor patients. Background Art

[0002] In recent years, the incidence of malignant tumors has been increasing worldwide. The treatment methods for malignant tumors include the use or combination of surgery, chemotherapy, radiotherapy and immunotherapy. Common chemotherapy routes in clinical practice are oral, intravenous, intraperitoneal and other methods, among which intravenous chemotherapy is the most common method. Traditional intravenous administration can cause many problems such as phlebitis, local edema, drug extravasation, puncture difficulties, and the distal end of the catheter exposed outside the body, which directly affects the clinical treatment outcomes and reduces the quality of life of patients.

[0003] In the prior art, the nursing management of intravenous infusion for cancer patients is mainly implemented manually, which increases the pressure on the medical system. In addition, manual nursing management delays the management of hidden dangers of intravenous infusion for cancer patients, causing irreversible impact on the intravenous injection of cancer patients.

[0004] Therefore, there is an urgent need for a nursing management system and method based on intravenous infusion for cancer patients to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a nursing management system and method based on intravenous infusion for tumor patients: to solve the technical problem that the nursing management of intravenous infusion in the existing solution mainly relies on manual work, resulting in untimely intravenous injection monitoring of tumor patients and increased medical risks.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] On the one hand, a nursing management system based on intravenous infusion of tumor patients includes a liquid medicine analysis unit, a medical infusion bag pressure collection unit, a patient physiological parameter collection unit, an intravenous infusion analysis unit and an early warning unit;

[0008] The drug liquid analysis unit is used to obtain the drug liquid composition information to be injected and the pathological information of the tumor patient, analyze the drug liquid composition information to be injected and the pathological information of the tumor patient to obtain the patient's intravenous infusion permission index, and judge whether the drug liquid to be injected meets the intravenous infusion requirements based on the patient's intravenous infusion permission index;

[0009] The medical infusion bag pressure collection unit is used to collect the bottom pressure value of the infusion bag containing the drug solution to be injected for the infusion bag that meets the requirements of intravenous infusion, wherein the drug solution bottom pressure value is the pressure value corresponding to the cross section of the infusion bag at different vertical heights, and the infusion bag is segmented and marked based on the drug solution bottom pressure value to obtain the drug solution marked segment, and the bottom pressure value corresponding to the critical line of the drug solution marked segment is sent to the intravenous infusion analysis unit;

[0010] The patient physiological parameter acquisition unit is used to obtain the photoelectric volumetric pulse wave signal of the marked segment of the drug solution, calculate the heart rate of the tumor patient corresponding to the marked segment of the drug solution based on the photoelectric volumetric pulse wave signal, and send the heart rate of the tumor patient to the intravenous infusion analysis unit;

[0011] The intravenous infusion analysis unit is used to receive the bottom pressure value corresponding to the critical line of the liquid marking segment and the heart rate of the tumor patient, and calculate the intravenous infusion drip rate of the liquid marking segment based on the bottom pressure value, and calculate the intravenous infusion risk value of the tumor patient in the liquid marking segment based on the intravenous infusion drip rate of the liquid marking segment and the heart rate of the tumor patient;

[0012] The early warning unit is used to generate an early warning signal based on the intravenous infusion risk value of the tumor patient.

[0013] Furthermore, the analysis based on the composition information of the drug solution to be injected and the pathological information of the tumor patient to obtain the patient's intravenous infusion permission index specifically includes the following process:

[0014] The number of chemotherapy drugs in the medicine to be injected is obtained based on the composition information of the medicine to be injected, the number of chemotherapy drugs that the tumor patient should be injected with is obtained based on the pathological information of the tumor patient, and the difference A between the number of chemotherapy drugs in the medicine to be injected and the number of chemotherapy drugs that the tumor patient should be injected with is calculated;

[0015] The number of types of nutritional support drugs in the liquid medicine to be injected is obtained based on the composition information of the liquid medicine to be injected, the number of types of nutritional support drugs required by the tumor patient is obtained based on the pathological information of the tumor patient, and the difference B between the number of types of nutritional support drugs in the liquid medicine to be injected and the number of types of nutritional support drugs required by the tumor patient is calculated;

[0016] Based on the composition information of the liquid medicine to be injected, the content ratio of each type of chemotherapy drug in the liquid medicine to be injected is obtained, and it is determined whether the content ratio of each type of chemotherapy drug exceeds the preset content ratio. If so, the liquid medicine content safety factor R is 0, and if not, the liquid medicine content safety factor R is 1;

[0017] Substitute the difference A, difference B and the safety factor R of the drug content into the calculation formula of the patient intravenous infusion permissible index to obtain the patient intravenous infusion permissible index JMZ, which is as follows:

[0018]

[0019] Among them, α represents the total content ratio of chemotherapy drugs in the liquid to be injected, β represents the total content ratio of nutritional support drugs in the liquid to be injected, and the value of e is 2.72.

[0020] Further, judging whether the liquid medicine to be injected meets the intravenous infusion requirement based on the patient's intravenous infusion permission index includes the following process:

[0021] Loading a patient intravenous infusion permission index threshold, wherein the patient intravenous infusion permission index threshold is stored in the system;

[0022] It is determined whether the patient's intravenous infusion permission index exceeds the patient's intravenous infusion permission index threshold. If so, it is determined that the drug solution to be injected meets the intravenous infusion requirements. If not, it is determined that the drug solution to be injected does not meet the intravenous infusion requirements.

[0023] Furthermore, the heart rate of the tumor patient corresponding to the marked segment of the drug solution is calculated based on the photoplethysmogram signal, which specifically includes the following process:

[0024] Obtain the photoelectric volumetric pulse wave signal S(i), and extract the feature points with rising or falling edges in the photoelectric volumetric pulse wave signal S(i) by using the differential threshold method:

[0025] S1(i) ＝ S(i)-S(i-2);

[0026] Where S1(i) represents the first differential value of S(i);

[0027] In order to cancel the rising edge data and only keep the falling edge while controlling the target range, it is necessary to perform a threshold process on S1(i), that is, to obtain S2(i) by taking the absolute value of S1(i), where S2(i) is calculated by the following formula:

[0028]

[0029] Based on S2(i), the peak method is used to obtain the peak point corresponding to the feature point and the difference C between the two peak points;

[0030] The heart rate BPM of the tumor patient is calculated based on the difference C:

[0031]

[0032] Furthermore, the intravenous infusion drip rate of the marked segment of the liquid is calculated based on the bottom pressure value and specifically includes the following process:

[0033] The drip coefficient D corresponding to the intravenous infusion drip rate is calculated based on the bottom pressure value:

[0034]

[0035] Among them, θ is the coefficient of the intravenous infusion tube, ρ is the fluid density of the drug to be injected, g represents the acceleration of gravity, and h is the height between the drug to be injected and the injection arm of the tumor patient;

[0036] The intravenous infusion drip rate V of the marked segment of the drug solution is calculated based on the drip coefficient D:

[0037] Wherein, m is the volume of the drug to be injected in the marked segment of the drug solution, and t is the time required for the drug to drip completely in the marked segment of the drug solution.

[0038] Furthermore, the intravenous infusion risk value of the tumor patient in the drug solution labeled segment is calculated based on the intravenous infusion drip rate of the drug solution labeled segment and the heart rate of the tumor patient, which specifically includes the following process:

[0039] Substitute the intravenous infusion drip rate of the liquid labeled segment and the heart rate of the tumor patient into the calculation formula of the intravenous infusion risk value of the tumor patient of the liquid labeled segment to calculate the risk value LMS of the intravenous infusion of the tumor patient of the liquid labeled segment. The calculation formula is as follows:

[0040]

[0041] Among them, BPM represents the heart rate of cancer patients, BPM b represents the standard heart rate of tumor patients during intravenous infusion, V represents the intravenous infusion drip rate of the marked segment of the drug solution, and V b It represents the standard intravenous infusion drip rate of the marked segments of the drug solution, k1 and k2 are weight coefficients respectively, WDB represents the chemotherapy drug input per unit time and per unit body weight, and DYB represents the nutritional support drug input per unit time and per unit body weight.

[0042] Furthermore, generating a warning signal based on the intravenous infusion risk value of a tumor patient specifically includes the following process:

[0043] The intravenous infusion risk value threshold for tumor patients is loaded to determine whether the intravenous infusion risk value for tumor patients exceeds the intravenous infusion risk value threshold for tumor patients. If so, an intravenous infusion warning signal for tumor patients is generated; if not, no intravenous infusion warning signal for tumor patients is generated, wherein the intravenous infusion risk value threshold for tumor patients is set by the system and stored in the system.

[0044] Furthermore, the photoplethysmographic signal is collected by a radio frequency pulse waveform sensor.

[0045] On the other hand, a nursing management method based on intravenous infusion for tumor patients includes:

[0046] Obtaining composition information of the drug solution to be injected and pathological information of the tumor patient, analyzing the composition information of the drug solution to be injected and the pathological information of the tumor patient to obtain the patient's intravenous infusion permission index, and judging whether the drug solution to be injected meets the intravenous infusion requirements based on the patient's intravenous infusion permission index;

[0047] For an infusion bag that meets the requirements of intravenous infusion, the bottom pressure value of the infusion bag containing the drug solution to be injected is collected, wherein the bottom pressure value of the drug solution is the pressure value corresponding to the cross-section of the infusion bag at different vertical heights, and the infusion bag is segmented and labeled based on the bottom pressure value of the drug solution to obtain the drug solution labeled segmentation;

[0048] Acquire the photoplethysmogram signal of the marked segment of the drug solution, and calculate the heart rate of the tumor patient corresponding to the marked segment of the drug solution based on the photoplethysmogram signal;

[0049] Receiving the bottom pressure value corresponding to the critical line of the liquid medicine segment and the heart rate of the tumor patient, and calculating the intravenous infusion drip rate of the liquid medicine segment based on the bottom pressure value, and calculating the intravenous infusion risk value of the tumor patient in the liquid medicine segment based on the intravenous infusion drip rate of the liquid medicine segment and the heart rate of the tumor patient;

[0050] Generate early warning signals based on the intravenous infusion risk value of cancer patients.

[0051] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0052] The present invention obtains the composition information of the liquid medicine to be injected and the pathological information of the tumor patient, analyzes the composition information of the liquid medicine to be injected and the pathological information of the tumor patient to obtain the patient's intravenous infusion permission index, and judges whether the liquid medicine to be injected meets the intravenous infusion requirements based on the patient's intravenous infusion permission index. The present invention can judge whether the tumor patient meets the intravenous infusion requirements based on the patient's intravenous infusion permission index, reduce the risk of allergic drugs in intravenous infusion, and improve the reliability of intravenous infusion.

[0053] The present invention calculates the intravenous infusion drip rate of the marked segment of the medicine solution based on the bottom pressure value, and calculates the intravenous infusion risk value of the tumor patient in the marked segment of the medicine solution based on the intravenous infusion drip rate of the marked segment of the medicine solution and the heart rate of the tumor patient; generates a warning signal based on the intravenous infusion risk value of the tumor patient, can timely warn the infusion risk of the tumor patient during intravenous infusion, and reduce the risk of intravenous infusion. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0055] Figure 1 This is a system block diagram of a nursing management system based on intravenous infusion for tumor patients according to an embodiment of the present invention;

[0056] Figure 2 This is a workflow diagram of a nursing management system based on intravenous infusion for tumor patients according to an embodiment of the present invention;

[0057] Figure 3 The present invention is a flowchart of a nursing management method based on intravenous infusion for tumor patients according to an embodiment of the present invention. DETAILED DESCRIPTION

[0058] 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.

[0059] In addition, the described features, structures or characteristics may be combined in one or more example embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the example embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, steps, etc. may be adopted. In other cases, well-known structures, methods, implementations or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0060] This embodiment provides a nursing management system based on intravenous infusion for tumor patients. Figure 1 is a system block diagram of a nursing management system based on intravenous infusion for tumor patients according to an embodiment of the present invention. Figure 1 As shown, a liquid medicine analysis unit, a medical infusion bag pressure collection unit, a patient physiological parameter collection unit, an intravenous infusion analysis unit and an early warning unit;

[0061] The drug liquid analysis unit is used to obtain the drug liquid composition information to be injected and the pathological information of the tumor patient, analyze the drug liquid composition information to be injected and the pathological information of the tumor patient to obtain the patient's intravenous infusion permission index, and judge whether the drug liquid to be injected meets the intravenous infusion requirements based on the patient's intravenous infusion permission index;

[0062] The medical infusion bag pressure collection unit is used to collect the bottom pressure value of the infusion bag containing the drug solution to be injected for the infusion bag that meets the requirements of intravenous infusion, wherein the drug solution bottom pressure value is the pressure value corresponding to the cross section of the infusion bag at different vertical heights, and the infusion bag is segmented and marked based on the drug solution bottom pressure value to obtain the drug solution marked segment, and the bottom pressure value corresponding to the critical line of the drug solution marked segment is sent to the intravenous infusion analysis unit;

[0063] The patient physiological parameter acquisition unit is used to obtain the photoelectric volumetric pulse wave signal of the marked segment of the drug solution, calculate the heart rate of the tumor patient corresponding to the marked segment of the drug solution based on the photoelectric volumetric pulse wave signal, and send the heart rate of the tumor patient to the intravenous infusion analysis unit;

[0064] The intravenous infusion analysis unit is used to receive the bottom pressure value corresponding to the critical line of the liquid marking segment and the heart rate of the tumor patient, and calculate the intravenous infusion drip rate of the liquid marking segment based on the bottom pressure value, and calculate the intravenous infusion risk value of the tumor patient in the liquid marking segment based on the intravenous infusion drip rate of the liquid marking segment and the heart rate of the tumor patient;

[0065] The early warning unit is used to generate an early warning signal based on the intravenous infusion risk value of the tumor patient.

[0066] In summary, the present invention obtains the composition information of the liquid medicine to be injected and the pathological information of the tumor patient, analyzes the composition information of the liquid medicine to be injected and the pathological information of the tumor patient to obtain the patient's intravenous infusion permission index, and judges whether the liquid medicine to be injected meets the intravenous infusion requirements based on the patient's intravenous infusion permission index. The present invention can judge whether the tumor patient meets the intravenous infusion requirements based on the patient's intravenous infusion permission index, reduce the risk of allergic drugs in intravenous infusion, and improve the reliability of intravenous infusion.

[0067] The present invention calculates the intravenous infusion drip rate of the marked segment of the medicine solution based on the bottom pressure value, and calculates the intravenous infusion risk value of the tumor patient in the marked segment of the medicine solution based on the intravenous infusion drip rate of the marked segment of the medicine solution and the heart rate of the tumor patient; generates a warning signal based on the intravenous infusion risk value of the tumor patient, can timely warn the infusion risk of the tumor patient during intravenous infusion, and reduce the risk of intravenous infusion.

[0068] It is worth noting that the drug solution analysis unit, the medical infusion bag pressure collection unit, the patient physiological parameter collection unit, the intravenous infusion analysis unit and the early warning unit can all achieve two-to-two communication.

[0069] In some embodiments, Figure 2 is a work flow chart of a nursing management system based on intravenous infusion for tumor patients according to an embodiment of the present invention, such as Figure 2 As shown, the analysis based on the composition information of the drug solution to be injected and the pathological information of the tumor patient to obtain the patient's intravenous infusion permission index specifically includes the following steps:

[0070] Step S201: obtaining the number of chemotherapy drugs in the medicine to be injected based on the composition information of the medicine to be injected, obtaining the number of chemotherapy drugs that the tumor patient should be injected with based on the pathological information of the tumor patient, and calculating the difference A between the number of chemotherapy drugs in the medicine to be injected and the number of chemotherapy drugs that the tumor patient should be injected with;

[0071] Step S202: obtaining the number of nutritional support drugs in the liquid medicine to be injected based on the composition information of the liquid medicine to be injected, obtaining the number of nutritional support drugs required by the tumor patient based on the pathological information of the tumor patient, and calculating the difference B between the number of nutritional support drugs in the liquid medicine to be injected and the number of nutritional support drugs required by the tumor patient;

[0072] Step S203: based on the composition information of the liquid medicine to be injected, the content ratio of each type of chemotherapy drug in the liquid medicine to be injected is obtained, and it is determined whether the content ratio of each type of chemotherapy drug exceeds the preset content ratio. If so, the liquid medicine content safety factor R is 0, and if not, the liquid medicine content safety factor R is 1;

[0073] Step S204: Substitute the difference A, the difference B and the safety factor R of the drug content into the calculation formula of the patient intravenous infusion permissible index to calculate the patient intravenous infusion permissible index JMZ, which is as follows:

[0074]

[0075] Among them, α represents the total content ratio of chemotherapy drugs in the liquid to be injected, β represents the total content ratio of nutritional support drugs in the liquid to be injected, and the value of e is 2.72.

[0076] In some embodiments, judging whether the drug solution to be injected meets the intravenous infusion requirement based on the patient's intravenous infusion permission index includes the following process:

[0077] Loading a patient intravenous infusion permission index threshold, wherein the patient intravenous infusion permission index threshold is stored in the system;

[0078] It is determined whether the patient's intravenous infusion permission index exceeds the patient's intravenous infusion permission index threshold. If so, it is determined that the drug solution to be injected meets the intravenous infusion requirements. If not, it is determined that the drug solution to be injected does not meet the intravenous infusion requirements.

[0079] In some embodiments, calculating the heart rate of the tumor patient corresponding to the marked segment of the drug solution based on the photoplethysmogram signal specifically includes the following process:

[0080] Obtain the photoelectric volumetric pulse wave signal S(i), and extract the feature points with rising or falling edges in the photoelectric volumetric pulse wave signal S(i) by using the differential threshold method:

[0081] S1(i) ＝ S(i)-S(i-2);

[0082] Where S1(i) represents the first differential value of S(i);

[0083] In order to cancel the rising edge data and only keep the falling edge while controlling the target range, it is necessary to perform a threshold process on S1(i), that is, to obtain S2(i) by taking the absolute value of S1(i), where S2(i) is calculated by the following formula:

[0084]

[0085] Based on S2(i), the peak method is used to obtain the peak point corresponding to the feature point and the difference C between the two peak points;

[0086] The heart rate BPM of the tumor patient is calculated based on the difference C:

[0087]

[0088] In some embodiments, calculating the intravenous infusion drip rate of the marked segment of the liquid based on the bottom pressure value specifically includes the following process:

[0089] The drip coefficient D corresponding to the intravenous infusion drip rate is calculated based on the bottom pressure value:

[0090]

[0091] Among them, θ is the coefficient of the intravenous infusion tube, ρ is the fluid density of the drug to be injected, g represents the acceleration of gravity, and h is the height between the drug to be injected and the injection arm of the tumor patient;

[0092] The intravenous infusion drip rate V of the marked segment of the drug solution is calculated based on the drip coefficient D:

[0093] Wherein, m is the volume of the drug to be injected in the marked segment of the drug solution, and t is the time required for the drug to drip completely in the marked segment of the drug solution.

[0094] In some embodiments, the intravenous infusion risk value of the tumor patient for the drug solution labeled segment is calculated based on the intravenous infusion drip rate of the drug solution labeled segment and the heart rate of the tumor patient, and specifically includes the following process:

[0095] Substitute the intravenous infusion drip rate of the liquid labeled segment and the heart rate of the tumor patient into the calculation formula of the intravenous infusion risk value of the tumor patient of the liquid labeled segment to calculate the risk value LMS of the intravenous infusion of the tumor patient of the liquid labeled segment. The calculation formula is as follows:

[0096]

[0097] Among them, BPM represents the heart rate of cancer patients, BPM b represents the standard heart rate of tumor patients during intravenous infusion, V represents the intravenous infusion drip rate of the marked segment of the drug solution, and V b It represents the standard intravenous infusion drip rate of the marked segments of the drug solution, k1 and k2 are weight coefficients respectively, WDB represents the chemotherapy drug input per unit time and per unit body weight, and DYB represents the nutritional support drug input per unit time and per unit body weight.

[0098] Furthermore, generating a warning signal based on the intravenous infusion risk value of a tumor patient specifically includes the following process:

[0099] The intravenous infusion risk value threshold for tumor patients is loaded to determine whether the intravenous infusion risk value for tumor patients exceeds the intravenous infusion risk value threshold for tumor patients. If so, an intravenous infusion warning signal for tumor patients is generated; if not, no intravenous infusion warning signal for tumor patients is generated, wherein the intravenous infusion risk value threshold for tumor patients is set by the system and stored in the system.

[0100] It is worth noting that the photoelectric volumetric pulse wave signal can be collected by a radio frequency pulse waveform sensor.

[0101] In some embodiments, Figure 3 is a work flow chart of a nursing management system based on intravenous infusion for tumor patients according to an embodiment of the present invention, such as Figure 3 As shown, the method comprises the following steps:

[0102] Step S301: obtaining information on the composition of the drug solution to be injected and the pathological information of the tumor patient, analyzing the information on the composition of the drug solution to be injected and the pathological information of the tumor patient to obtain a patient intravenous infusion permission index, and judging whether the drug solution to be injected meets the intravenous infusion requirements based on the patient intravenous infusion permission index;

[0103] Step S302: for an infusion bag that meets the requirements of intravenous infusion, the bottom pressure value of the infusion bag containing the drug solution to be injected is collected, wherein the bottom pressure value of the drug solution is the pressure value corresponding to the cross-section of different vertical heights of the infusion bag, and the infusion bag is segmented and labeled based on the bottom pressure value of the drug solution to obtain the drug solution labeled segmentation;

[0104] Step S303: obtaining the photoplethysmogram signal of the marked segment of the drug solution, and calculating the heart rate of the tumor patient corresponding to the marked segment of the drug solution based on the photoplethysmogram signal;

[0105] Step S304: receiving the bottom pressure value corresponding to the critical line of the liquid medicine segment and the heart rate of the tumor patient, and calculating the intravenous infusion drip rate of the liquid medicine segment based on the bottom pressure value, and calculating the intravenous infusion risk value of the tumor patient in the liquid medicine segment based on the intravenous infusion drip rate of the liquid medicine segment and the heart rate of the tumor patient;

[0106] Step S305: Generate a warning signal based on the tumor patient's intravenous infusion risk value.

[0107] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0108] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0109] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0110] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only some logical function divisions. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0111] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0112] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A nursing management system based on intravenous infusion for tumor patients, characterized in that: The system includes a liquid medicine analysis unit, a medical infusion bag pressure collection unit, a patient physiological parameter collection unit, an intravenous infusion analysis unit and an early warning unit; The drug liquid analysis unit is used to obtain the drug liquid composition information to be injected and the pathological information of the tumor patient, analyze the drug liquid composition information to be injected and the pathological information of the tumor patient to obtain the patient's intravenous infusion permission index, and judge whether the drug liquid to be injected meets the intravenous infusion requirements based on the patient's intravenous infusion permission index; The medical infusion bag pressure collection unit is used to collect the bottom pressure value of the infusion bag containing the drug solution to be injected for the infusion bag that meets the requirements of intravenous infusion, wherein the drug solution bottom pressure value is the pressure value corresponding to the cross section of the infusion bag at different vertical heights, and the infusion bag is segmented and marked based on the drug solution bottom pressure value to obtain the drug solution marked segment, and the bottom pressure value corresponding to the critical line of the drug solution marked segment is sent to the intravenous infusion analysis unit; The patient physiological parameter acquisition unit is used to obtain the photoelectric volumetric pulse wave signal of the marked segment of the drug solution, calculate the heart rate of the tumor patient corresponding to the marked segment of the drug solution based on the photoelectric volumetric pulse wave signal, and send the heart rate of the tumor patient to the intravenous infusion analysis unit; The intravenous infusion analysis unit is used to receive the bottom pressure value corresponding to the critical line of the liquid marking segment and the heart rate of the tumor patient, and calculate the intravenous infusion drip rate of the liquid marking segment based on the bottom pressure value, and calculate the intravenous infusion risk value of the tumor patient in the liquid marking segment based on the intravenous infusion drip rate of the liquid marking segment and the heart rate of the tumor patient; The early warning unit is used to generate an early warning signal based on the intravenous infusion risk value of the tumor patient.

2. The nursing management system based on intravenous infusion for tumor patients according to claim 1 is characterized in that: The process of analyzing the composition information of the drug solution to be injected and the pathological information of the tumor patient to obtain the patient's intravenous infusion permission index specifically includes the following steps: The number of chemotherapy drugs in the medicine to be injected is obtained based on the composition information of the medicine to be injected, the number of chemotherapy drugs that the tumor patient should be injected with is obtained based on the pathological information of the tumor patient, and the difference A between the number of chemotherapy drugs in the medicine to be injected and the number of chemotherapy drugs that the tumor patient should be injected with is calculated; The number of types of nutritional support drugs in the liquid medicine to be injected is obtained based on the composition information of the liquid medicine to be injected, the number of types of nutritional support drugs required by the tumor patient is obtained based on the pathological information of the tumor patient, and the difference B between the number of types of nutritional support drugs in the liquid medicine to be injected and the number of types of nutritional support drugs required by the tumor patient is calculated; Based on the composition information of the liquid medicine to be injected, the content ratio of each type of chemotherapy drug in the liquid medicine to be injected is obtained, and it is determined whether the content ratio of each type of chemotherapy drug exceeds the preset content ratio. If so, the liquid medicine content safety factor R is 0, and if not, the liquid medicine content safety factor R is 1; Substitute the difference A, difference B and the safety factor R of the drug content into the calculation formula of the patient intravenous infusion permissible index to obtain the patient intravenous infusion permissible index JMZ, which is as follows: Among them, α represents the total content ratio of chemotherapy drugs in the liquid to be injected, β represents the total content ratio of nutritional support drugs in the liquid to be injected, and the value of e is 2.

72.

3. The nursing management system based on intravenous infusion for tumor patients according to claim 2 is characterized in that: Judging whether the drug solution to be injected meets the intravenous infusion requirements based on the patient's intravenous infusion permission index includes the following process: Loading a patient intravenous infusion permission index threshold, wherein the patient intravenous infusion permission index threshold is stored in the system; It is determined whether the patient's intravenous infusion permission index exceeds the patient's intravenous infusion permission index threshold. If so, it is determined that the drug solution to be injected meets the intravenous infusion requirements. If not, it is determined that the drug solution to be injected does not meet the intravenous infusion requirements.

4. The nursing management system based on intravenous infusion for tumor patients according to claim 1 is characterized in that: The specific heart rate of the tumor patient corresponding to the marked segment of the drug solution is calculated based on the photoplethysmographic signal The process includes: Obtain the photoelectric volumetric pulse wave signal S(i), and extract the feature points with rising or falling edges in the photoelectric volumetric pulse wave signal S(i) by using the differential threshold method: S1(i) ＝ S(i)-S(i-2); Where S1(i) represents the first differential value of S(i); In order to cancel the rising edge data and only keep the falling edge while controlling the target range, it is necessary to perform a threshold process on S1(i), that is, to obtain S2(i) by taking the absolute value of S1(i), where S2(i) is calculated by the following formula: Based on S2(i), the peak method is used to obtain the peak point corresponding to the feature point and the difference C between the two peak points; The heart rate BPM of the tumor patient is calculated based on the difference C:

5. The nursing management system based on intravenous infusion for tumor patients according to claim 1 is characterized in that: The specific process of calculating the intravenous infusion drip rate of the marked segment of the liquid based on the bottom pressure value includes the following steps: The drip coefficient D corresponding to the intravenous infusion drip rate is calculated based on the bottom pressure value: Among them, θ is the coefficient of the intravenous infusion tube, ρ is the fluid density of the drug to be injected, g represents the acceleration of gravity, and h is the height between the drug to be injected and the injection arm of the tumor patient; The intravenous infusion drip rate V of the marked segment of the drug solution is calculated based on the drip coefficient D: Wherein, m is the volume of the drug to be injected in the marked segment of the drug solution, and t is the time required for the drug to drip completely in the marked segment of the drug solution.

6. The nursing management system based on intravenous infusion for tumor patients according to claim 1 is characterized in that: The specific risk value of intravenous infusion for tumor patients in the segmented drug liquid annotation is calculated based on the intravenous infusion drip rate of the drug liquid annotation segment and the heart rate of the tumor patient. The process includes: Substitute the intravenous infusion drip rate of the liquid labeled segment and the heart rate of the tumor patient into the calculation formula of the intravenous infusion risk value of the tumor patient of the liquid labeled segment to calculate the risk value LMS of the intravenous infusion of the tumor patient of the liquid labeled segment. The calculation formula is as follows: Among them, BPM represents the heart rate of cancer patients, BPM b represents the standard heart rate of tumor patients during intravenous infusion, V represents the intravenous infusion drip rate of the marked segment of the drug solution, and V b It represents the standard intravenous infusion drip rate of the marked segments of the drug solution, k1 and k2 are weight coefficients respectively, WDB represents the chemotherapy drug input per unit time and per unit body weight, and DYB represents the nutritional support drug input per unit time and per unit body weight.

7. The nursing management system based on intravenous infusion for tumor patients according to claim 6 is characterized in that: Generate early warning signals based on the risk value of intravenous infusion in tumor patients The process includes: The intravenous infusion risk value threshold for tumor patients is loaded to determine whether the intravenous infusion risk value for tumor patients exceeds the intravenous infusion risk value threshold for tumor patients. If so, an intravenous infusion warning signal for tumor patients is generated; if not, no intravenous infusion warning signal for tumor patients is generated, wherein the intravenous infusion risk value threshold for tumor patients is set by the system and stored in the system.

8. The nursing management system based on intravenous infusion for tumor patients according to claim 1 is characterized in that: The photoplethysmographic signal is collected by a radio frequency pulse waveform sensor.

9. A nursing management method based on intravenous infusion for tumor patients, characterized in that: The nursing management system based on intravenous infusion for tumor patients according to any one of claims 1 to 8 comprises: Obtaining composition information of the drug solution to be injected and pathological information of the tumor patient, analyzing the composition information of the drug solution to be injected and the pathological information of the tumor patient to obtain the patient's intravenous infusion permission index, and judging whether the drug solution to be injected meets the intravenous infusion requirements based on the patient's intravenous infusion permission index; For an infusion bag that meets the requirements of intravenous infusion, the bottom pressure value of the infusion bag containing the drug solution to be injected is collected, wherein the bottom pressure value of the drug solution is the pressure value corresponding to the cross-section of the infusion bag at different vertical heights, and the infusion bag is segmented and labeled based on the bottom pressure value of the drug solution to obtain the drug solution labeled segmentation; Acquire the photoplethysmogram signal of the marked segment of the drug solution, and calculate the heart rate of the tumor patient corresponding to the marked segment of the drug solution based on the photoplethysmogram signal; Receiving the bottom pressure value corresponding to the critical line of the liquid medicine segment and the heart rate of the tumor patient, and calculating the intravenous infusion drip rate of the liquid medicine segment based on the bottom pressure value, and calculating the intravenous infusion risk value of the tumor patient in the liquid medicine segment based on the intravenous infusion drip rate of the liquid medicine segment and the heart rate of the tumor patient; Generate early warning signals based on the intravenous infusion risk value of cancer patients.

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