CN117524443B - Data analysis-based severe medical department patient monitoring and management system - Google Patents
Data analysis-based severe medical department patient monitoring and management system Download PDFInfo
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Abstract
The invention relates to the field of medical department management, which is used for solving the problem that patients cannot be treated quickly and effectively due to the fact that medical staff change due to the fact that the intercommunicating platform is lacking in the medical staff for treatment information of the patients, in particular to a severe medical department patient monitoring and management system based on data analysis; according to the invention, the task leave-out and schedule arrangement are mainly carried out by the main doctor through the task leave-out and schedule arrangement modes, the data are integrated and communicated through the patient management platform, so that on-duty medical staff can carry out task and schedule execution, the medical staff can treat the patient according to the task leave-out and schedule arrangement, the data intercommunication of the treatment schedule, the recovery schedule and the examination schedule of the patient is realized, the collaboration capability and collaboration convenience among a plurality of medical staff are improved, the number of staff and patients is analyzed when the staff changes, and the real-time wind control early warning is carried out on the number of the medical staff and the patients.
Description
Technical Field
The invention relates to the field of medical department management, in particular to a severe medical department patient monitoring and management system based on data analysis.
Background
The critical medical science department is an important department in hospitals and is mainly responsible for receiving and treating critical patients. These patients often require close care and highly specialized medical care to ensure their life safety and rehabilitation;
at present, the patient management system of the hospital in the prior art still has the defects that, for example, when the patient is treated in the existing hospital, general treated doctors have sufficient knowledge on the condition of the patient, other medical staff do not have sufficient knowledge on the condition of the patient like an attending doctor, and the change of the scheduling condition of a hospital working system can lead the attending doctor of the patient to be out of the hospital, so that the patient is difficult to directly treat by other doctors when the patient needs to be treated, frequent and complex docking procedures are required, the treatment condition of the patient is not guaranteed, and a platform capable of uniformly managing the patient is needed, so that all doctors can know the condition of all patients in a department, and the patient is convenient to treat under the condition that the medical staff changes;
aiming at the technical problems, the application provides a solution.
Disclosure of Invention
According to the invention, the task leave-out and schedule arrangement are carried out mainly by a main doctor through a task leave-out and schedule arrangement mode, the data are integrated and communicated through the patient management platform, so that on-duty medical staff can carry out task and schedule execution, the medical staff can carry out treatment on the patient according to the task leave-out and schedule arrangement, the data intercommunication of the treatment schedule, the rehabilitation schedule and the examination schedule of the patient is realized, the collaboration capacity and collaboration convenience among a plurality of medical staff are improved, the treatment efficiency is improved, the treatment condition of the patient is recorded through a data model analysis mode, the treatment progress of the patient is analyzed through a data model analysis mode, the medical staff is assisted to analyze the treatment progress of the patient, the practicability of the patient monitoring management system is improved, the number of the staff and the patient is analyzed when the staff changes, thereby carrying out real-time wind control on the number of the medical staff and the patient, the problem that the patient cannot be treated quickly and effectively when the medical staff changes due to the lack of the intercommunication platform in the medical staff, and the patient treatment information is caused when the medical staff changes is solved, and the patient management system of the severe medical department based on data analysis is provided.
The aim of the invention can be achieved by the following technical scheme:
the system comprises a message schedule supervision unit, a design schedule supervision unit, a patient management platform, a personnel change supervision unit, a treatment record management unit and a patient management platform, wherein the message schedule supervision unit is used for carrying out task messages on patients, the task messages are manually input, and the message daily supervision unit sends the task messages to the patient management platform after acquiring the task messages and can receive task message completion signals fed back by the patient management platform;
the schedule design supervision unit can acquire schedule design tasks of patients in a manual input mode, sends the schedule design tasks to the patient management platform, and can acquire feedback schedule task completion signals through the patient management platform;
the treatment record management unit can acquire a treatment plan of a patient and send the treatment plan to the patient management platform, the patient management platform can upload the treatment plan to the cloud, the treatment record management unit can acquire the current treatment step of the patient in real time, compare the current treatment step with the treatment plan to generate a current treatment effect, and send the current treatment effect to the patient management platform;
the personnel change supervision unit can acquire the number of patients and medical staff, performs matching analysis according to the number of patients and medical staff, generates a doctor-patient matching signal, and sends the doctor-patient matching signal to the patient management platform, and the patient management platform generates alarm reminding according to the doctor-patient matching signal.
As a preferred implementation mode of the invention, the task message acquired by the message schedule supervision unit comprises task content, task time and patient identity, and the patient management platform generates an operation reminder when the difference reaches a reserved value according to the difference between the task time and the current time after acquiring the task time, and displays the operation reminder through a display output device;
after completing task content in a task message, the patient management platform can generate a task message completion signal in a manual input mode, wherein the task message completion signal comprises task content, completion time and patient identity, the message schedule supervision unit compares the task message completion signal with the task content and the patient identity in the task message, if any one of the task content and the patient identity is different, an alarm reminding signal is generated, the alarm reminding signal is displayed through a display device, and meanwhile the alarm reminding signal is uploaded to the cloud; if the task content and the identity of the patient are the same, comparing the completion time with the task time, if the difference value between the completion time and the task time is within a preset allowable range, not reacting, and if the difference value between the completion time and the task time is outside the preset allowable range, generating a reminding signal, and uploading the reminding signal to the cloud for storage.
As a preferred embodiment of the present invention, the design schedule task acquired by the design schedule supervision unit includes a schedule task and a schedule frequency, when the patient management platform completes the schedule task, the patient management platform can automatically count the completion time and the accumulated completion times, and calculate the current schedule frequency of the schedule task according to the accumulated completion times and the accumulated time, the patient management platform compares the calculated schedule frequency with the schedule frequency sent by the design schedule supervision unit, if the calculated schedule frequency is uniform, generates a schedule task completion signal, and sends the schedule task completion signal to the design schedule supervision unit, and if the calculated schedule frequency is not uniform with the schedule frequency sent by the design schedule supervision unit, generates a schedule task difference signal, and sends the schedule task difference signal to the design schedule supervision unit.
As a preferred embodiment of the present invention, the treatment record management unit acquires a treatment plan of a patient including a treatment step, a treatment schedule, and treatment feedback data, the treatment record management unit transmits the treatment step and the treatment schedule to a patient management platform, and the patient management platform acquires a completion time of the treatment step when completing the one-step treatment step and transmits it to the treatment record management unit, and the treatment record management unit calculates a difference between the completion time of the treatment step and a time preset on the treatment schedule and records the difference as a treatment time deviation value t;
the treatment record management unit records the time interval on the treatment schedule corresponding to the two continuous treatment steps as a treatment interval, the treatment record management unit acquires the treatment interval, selects a time point in the middle of the treatment interval, detects the physical health data of the patient at the time point in the middle of the treatment interval, the detected physical health data comprises the disease characteristic substance content S and the conventional physical index F, the patient management platform calculates treatment feedback data X through a formula,wherein q is a preset weight coefficient;
the treatment record management unit records all treatment steps in the treatment plan as N, records the treatment steps which are completed currently as N, generates the current treatment effect Y through formula analysis,and k is a preset weight coefficient, the treatment record management unit sends the current treatment effect Y to the patient management platform, and the patient management platform sends the current treatment effect Y to the cloud.
As a preferred embodiment of the present invention, after the patient management platform sends the current treatment effect Y to the cloud, the patient management platform compares the current treatment effect Y with treatment effect data of patients with the same type of diseases and the same type of treatment methods in the cloud, determines a ranking condition of the current treatment effect Y in the treatment effect data in the cloud according to the comparison result, and generates a treatment effect excellent signal, a treatment effect medium signal and a treatment effect insufficient signal according to the ranking condition.
As a preferred embodiment of the present invention, the personnel change monitoring unit records the number of patients as m and the number of medical staff after the personnel change monitoring unit acquires the number of patients and the number of medical staffThe number record is M, wherein the patient number M comprises a common patient M1 and a special patient M2, the medical staff comprises a common medical staff M1 and a senior medical staff M2, and the staff change supervision unit passes through a preset staff demand modelGenerating a personnel requirement matching value G, comparing the personnel requirement matching value G with a preset personnel requirement standard value G0, generating a personnel sufficiency signal if the personnel requirement matching value G is greater than or equal to the preset personnel requirement standard value G0, and generating a personnel shortage signal if the personnel requirement matching value G is smaller than the preset personnel requirement standard value G0, wherein the personnel sufficiency signal and the personnel shortage signal belong to a doctor-patient matching signal;
the patient management platform does not react when acquiring the sufficient signal of the personnel, generates insufficient personnel early warning when acquiring the shortage signal of the personnel, and generates early warning reminding through output equipment.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the data are integrated and communicated through the patient management platform, so that the treatment schedule, the rehabilitation schedule and the examination schedule of the patient can be communicated, and medical staff on duty can know the treatment conditions of all patients in a department conveniently, so that the patients can be timely treated when the patients need to be treated, frequent docking conditions with a main doctor are not needed, and the treatment efficiency is improved.
2. In the invention, the task message and schedule are mainly carried out by the main doctor through the modes of task message and schedule design, the on-duty medical staff is used for carrying out task and schedule execution, and the check is carried out through the mode of execution completion feedback, so that the medical staff can treat patients according to the task message and schedule, and the cooperation capability and cooperation convenience among a plurality of medical staff are improved.
3. According to the invention, the treatment process is recorded, the treatment condition of the patient is analyzed in a data model analysis mode, and the medical staff is assisted to analyze the treatment progress of the patient, so that the practicability of the patient monitoring management system is improved.
4. According to the invention, the number of the staff and the patients is analyzed when the staff changes, so that the number of the medical staff and the patients is subjected to real-time wind control early warning, and the condition that the medical staff is insufficient is avoided.
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The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
referring to fig. 1, a patient monitoring and managing system in a severe medical science department based on data analysis includes a message schedule monitoring unit, a design schedule monitoring unit, a patient management platform, a personnel change monitoring unit, a treatment record management unit and a patient management platform, wherein the message schedule monitoring unit is used for carrying out task message on a patient, the task message is manually input, the task message acquired by the message schedule monitoring unit includes task content, task time and patient identity, the message daily monitoring unit acquires the task message and then sends the task message to the patient management platform, the patient management platform generates operation reminding when the difference between the task time and the current time reaches a reserved value, the operation reminding is displayed through a display output device, the patient management platform can generate a task message completion signal after completing the task content in the task message, the generation mode is manual input, the message schedule monitoring unit can receive the task message completion signal fed back by the patient management platform, the task message completion signal includes task content, completion time and patient identity, the task message content and patient identity in the task message completion signal are compared, if the task message content and patient identity in the task message completion signal are different, and the patient identity are different, and an alarm signal is simultaneously displayed through the alarm signal when the difference reaches a reserved value, and an alarm signal is displayed; if the task content and the identity of the patient are the same, comparing the completion time with the task time, if the difference value between the completion time and the task time is within a preset allowable range, not reacting, and if the difference value between the completion time and the task time is outside the preset allowable range, generating a reminding signal, and uploading the reminding signal to the cloud for storage.
The system comprises a patient management unit, a schedule management unit and a schedule management unit, wherein the patient management unit can acquire a schedule task of a patient in a manual input mode, the schedule task acquired by the schedule management unit comprises a schedule task and a schedule frequency, the schedule management unit transmits the schedule task to the patient management unit, when the schedule task is completed, the patient management unit can automatically count the completion time and the accumulated completion times, calculates the schedule frequency of the current schedule task according to the accumulated completion times and the accumulated time, the patient management unit compares the calculated schedule frequency with the schedule frequency transmitted by the schedule management unit, if the calculated schedule frequency is uniform with the schedule frequency transmitted by the schedule management unit, generates a schedule task completion signal, and transmits the schedule task difference signal to the schedule management unit if the calculated schedule frequency is not uniform with the schedule frequency transmitted by the schedule management unit;
the treatment record management unit can acquire a treatment plan of a patient and send the treatment plan to the patient management platform, the treatment record management unit acquires the treatment plan of the patient and comprises a treatment step, a treatment time table and treatment feedback data, the treatment record management unit sends the treatment step and the treatment time table to the patient management platform, the patient management platform acquires the completion time of the treatment step when completing the one-step treatment step and sends the completion time of the treatment step to the treatment record management unit, and the treatment record management unit calculates the difference between the completion time of the treatment step and the time preset on the treatment time table and records the difference as a treatment time deviation value t;
the treatment record management unit records the time interval on the treatment schedule corresponding to the two continuous treatment steps as a treatment interval, the treatment record management unit acquires the treatment interval, selects a time point in the middle of the treatment interval, detects the physical health data of the patient at the time point in the middle of the treatment interval, the detected physical health data comprises the disease characteristic substance content S and the conventional physical index F, the patient management platform calculates treatment feedback data X through a formula,wherein q is a preset weight coefficient;
the treatment record management unit records all treatment steps in the treatment plan as N, records the treatment steps which are completed currently as N, generates the current treatment effect Y through formula analysis,wherein k is a preset weight coefficient, the treatment record management unit sends the current treatment effect Y to the patient management platform, and the patient management platform sends the current treatment effect Y to the cloud;
after the current treatment effect Y is sent to the cloud, the patient management platform is compared with treatment effect data of patients with the same type of diseases and the same type of treatment methods in the cloud, the arrangement condition of the current treatment effect Y in the treatment effect data in the cloud is determined according to the comparison result, and a treatment effect excellent signal, a treatment effect medium signal and a treatment effect insufficient signal are generated according to the arrangement condition.
Embodiment two:
referring to fig. 1, the personnel change monitoring unit can obtain the number of patients and medical staff and rootAccording to the number of patients and medical staff, matching analysis is carried out, after the staff change supervision unit obtains the number of patients and medical staff, the number of patients is recorded as M, the number of medical staff is recorded as M, the patient number M comprises a common patient M1 and a special patient M2, the medical staff comprises a common medical staff M1 and a senior medical staff M2, and the staff change supervision unit passes through a preset staff demand modelGenerating a personnel requirement matching value G, comparing the personnel requirement matching value G with a preset personnel requirement standard value G0, generating personnel sufficiency signals if the personnel requirement matching value G is larger than or equal to the preset personnel requirement standard value G0, generating personnel shortage signals if the personnel requirement matching value G is smaller than the preset personnel requirement standard value G0, wherein the personnel sufficiency signals and the personnel shortage signals belong to doctor-patient matching signals, sending the doctor-patient matching signals to a patient management platform by a personnel fluctuation supervision unit, and not reacting when the patient management platform acquires the personnel sufficiency signals, generating personnel shortage early warning when the personnel shortage signals are acquired, and generating early warning reminding through an output device, so that real-time wind control on the number of medical personnel and the number of patients is realized, and the situation of the shortage of the hands is avoided.
According to the invention, the task leave-out and schedule arrangement are mainly carried out by using a main doctor through a task leave-out and schedule arrangement mode, the data are integrated and communicated through the patient management platform, so that on-duty medical staff can carry out task and schedule execution, the medical staff can treat patients according to the task leave-out and schedule arrangement, the data intercommunication of the treatment schedule, the rehabilitation schedule and the examination schedule of the patients is realized, the collaboration capacity and collaboration convenience among a plurality of medical staff are improved, the treatment efficiency is improved, the treatment condition of the patients is analyzed through recording the treatment process and analyzing the treatment progress of the patients through a data model analysis mode, the medical staff is assisted to analyze the treatment progress of the patients, the practicability of a patient monitoring management system is improved, and the number of the staff and the patients is analyzed when the staff change, so that the number of the medical staff and the patients is subjected to real-time wind control early warning.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (2)
1. The system is characterized by comprising a message schedule supervision unit, a schedule design supervision unit, a personnel change supervision unit, a treatment record management unit and a patient management platform, wherein the message schedule supervision unit is used for carrying out task messages on patients, the task messages are manually input, and the message schedule supervision unit sends the task messages to the patient management platform after acquiring the task messages and can receive task message completion signals fed back by the patient management platform;
the schedule design supervision unit can acquire schedule design tasks of patients in a manual input mode, sends the schedule design tasks to the patient management platform, and can acquire feedback schedule task completion signals through the patient management platform;
the treatment record management unit can acquire a treatment plan of a patient and send the treatment plan to the patient management platform, the patient management platform can upload the treatment plan to the cloud, the treatment record management unit can acquire the current treatment step of the patient in real time, compare the current treatment step with the treatment plan to generate a current treatment effect, and send the current treatment effect to the patient management platform;
the personnel change supervision unit can acquire the number of patients and medical staff, performs matching analysis according to the number of patients and medical staff, generates a doctor-patient matching signal, and sends the doctor-patient matching signal to the patient management platform, and the patient management platform generates alarm reminding according to the doctor-patient matching signal;
the task message acquired by the message schedule supervision unit comprises task content, task time and patient identity, and the patient management platform generates an operation reminder when the difference reaches a reserved value according to the difference between the task time and the current time after acquiring the task time, and displays the operation reminder through the display output equipment;
after completing task content in a task message, the patient management platform can generate a task message completion signal in a manual input mode, wherein the task message completion signal comprises task content, completion time and patient identity, the message schedule supervision unit compares the task message completion signal with the task content and the patient identity in the task message, if any one of the task content and the patient identity is different, an alarm reminding signal is generated, the alarm reminding signal is displayed through a display device, and meanwhile the alarm reminding signal is uploaded to the cloud; if the task content and the identity of the patient are the same, comparing the completion time with the task time, if the difference value between the completion time and the task time is within a preset allowable range, not reacting, and if the difference value between the completion time and the task time is outside the preset allowable range, generating a reminding signal, and uploading the reminding signal to a cloud for storage;
the patient management platform can automatically count the completion time and the accumulated completion times when completing the schedule tasks, calculates the current schedule frequency of the schedule tasks according to the accumulated completion times and the accumulated time, compares the calculated schedule frequency with the schedule frequency sent by the design schedule monitoring unit, generates a schedule task completion signal if the calculated schedule frequency is uniform, sends the schedule task completion signal to the design schedule monitoring unit, generates a schedule task difference signal if the calculated schedule frequency is not uniform with the schedule frequency sent by the design schedule monitoring unit, and sends the schedule task difference signal to the design schedule monitoring unit;
the treatment record management unit acquires a treatment plan of a patient and comprises a treatment step, a treatment schedule and treatment feedback data, the treatment record management unit sends the treatment step and the treatment schedule to a patient management platform, the patient management platform acquires the completion time of the treatment step when completing the one-step treatment step and sends the completion time of the treatment step to the treatment record management unit, and the treatment record management unit calculates the difference between the completion time of the treatment step and the time preset on the treatment schedule and records the difference as a treatment time deviation value t;
the treatment record management unit records the time interval on the treatment schedule corresponding to the two continuous treatment steps as a treatment interval, the treatment record management unit acquires the treatment interval, selects a time point in the middle of the treatment interval, detects the physical health data of the patient at the time point in the middle of the treatment interval, the detected physical health data comprises the disease characteristic substance content S and the conventional physical index F, the patient management platform calculates treatment feedback data X through a formula,wherein q is a preset weight coefficient;
the treatment record management unit records all treatment steps in the treatment plan as N, records the treatment steps which are completed currently as N, generates the current treatment effect Y through formula analysis,wherein k is a preset weight coefficient, the treatment record management unit sends the current treatment effect Y to a patient management platform, and the patient management platform sends the current treatment effect Y to a cloud;
after the current treatment effect Y is sent to the cloud, the patient management platform compares the current treatment effect Y with treatment effect data of patients with the same type of diseases and the same type of treatment methods in the cloud, determines the arrangement condition of the current treatment effect Y in the treatment effect data in the cloud according to the comparison result, and generates a treatment effect excellent signal, a treatment effect medium signal and a treatment effect insufficient signal according to the arrangement condition.
2. The system according to claim 1, wherein the personnel change supervision unit records the number of patients as M and the number of medical staff as M after acquiring the numbers of patients and medical staff, wherein the number of patients M includes a normal patient M1 and a special patient M2, the medical staff includes a normal medical staff M1 and a senior medical staff M2, and the personnel change supervision unit uses a preset personnel demand model
；
Generating a personnel requirement matching value G, comparing the personnel requirement matching value G with a preset personnel requirement standard value G0, generating a personnel sufficiency signal if the personnel requirement matching value G is greater than or equal to the preset personnel requirement standard value G0, and generating a personnel shortage signal if the personnel requirement matching value G is smaller than the preset personnel requirement standard value G0, wherein the personnel sufficiency signal and the personnel shortage signal belong to a doctor-patient matching signal;
the patient management platform does not react when acquiring the sufficient signal of the personnel, generates insufficient personnel early warning when acquiring the shortage signal of the personnel, and generates early warning reminding through output equipment.
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