CN117275637A - Evaluation device, medical system, and computer-readable storage medium - Google Patents

Evaluation device, medical system, and computer-readable storage medium Download PDF

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Publication number
CN117275637A
CN117275637A CN202311226369.XA CN202311226369A CN117275637A CN 117275637 A CN117275637 A CN 117275637A CN 202311226369 A CN202311226369 A CN 202311226369A CN 117275637 A CN117275637 A CN 117275637A
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evaluation
patient
scale
score
review
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刘洋
刘鑫蕊
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Sceneray Co Ltd
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Sceneray Co Ltd
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/70ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
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  • General Health & Medical Sciences (AREA)
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  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Hospice & Palliative Care (AREA)
  • Psychiatry (AREA)
  • Psychology (AREA)
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  • Developmental Disabilities (AREA)
  • Child & Adolescent Psychology (AREA)
  • Databases & Information Systems (AREA)
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Abstract

The present application provides an assessment device, a medical system and a computer readable storage medium, the assessment device comprising a memory and at least one processor, the memory storing a computer program, the at least one processor being configured to implement the following steps when executing the computer program: displaying a preset evaluation page by using a display screen; responding to the evaluation operation of a patient on the evaluation page, and acquiring an evaluation result corresponding to the patient, wherein the evaluation result comprises one or more of the following: the current illness state score, the recovery score and the overall health score; setting corresponding evaluation reminding frequency according to the evaluation result; and pushing evaluation reminding information to the terminal equipment of the patient at regular time according to the evaluation reminding frequency so as to prompt the patient to evaluate. According to the method and the device, the frequency of evaluation reminding is adjusted according to the evaluation result, so that the patient is helped to complete evaluation on time, and self-cognition is enhanced.

Description

Evaluation device, medical system, and computer-readable storage medium
Technical Field
The present application relates to the technical field of medical systems, and in particular, to an evaluation device, a medical system, and a computer-readable storage medium.
Background
For mental chronic diseases, the treatment period and the recovery period are longer, the self-cognition of the patient is limited, the patient needs to perform self-evaluation at home regularly to know the disease condition of the patient, and the self-cognition is enhanced, however, the memory of the patient with mental chronic diseases is generally poor, the patient easily forgets to evaluate the disease condition, and the patient cannot grasp the latest mental condition and disease condition of the patient.
Based on this, the present application provides an evaluation apparatus, a medical system, and a computer-readable storage medium to improve the related art.
Disclosure of Invention
The invention aims to provide an evaluation device, a medical system and a computer readable storage medium, wherein the frequency of evaluation reminding is adjusted according to an evaluation result, so that a patient is helped to complete evaluation on time, and self-cognition is enhanced.
The purpose of the application is realized by adopting the following technical scheme:
in a first aspect, the present application provides an assessment device comprising a memory and at least one processor, the memory storing a computer program, the at least one processor being configured to implement the following steps when executing the computer program:
displaying a preset evaluation page by using a display screen;
Responding to the evaluation operation of a patient on the evaluation page, and acquiring an evaluation result corresponding to the patient, wherein the evaluation result comprises one or more of the following: the current illness state score, the recovery score and the overall health score;
setting corresponding evaluation reminding frequency according to the evaluation result;
and pushing evaluation reminding information to the terminal equipment of the patient at regular time according to the evaluation reminding frequency so as to prompt the patient to evaluate.
The beneficial effect of this technical scheme lies in: and adjusting the frequency of evaluation reminding according to the evaluation result, helping the patient complete the evaluation on time, and enhancing self-cognition. Specifically, by periodic evaluation, the patient can more deeply understand his or her mental condition and illness. This helps the patient to enhance his or her knowledge of his or her state, thereby better managing and controlling the disease. Because the memory of the patient may be poor, they may forget to perform the periodic evaluation, and through the timing reminding function, the patient is ensured to complete the evaluation on time, so that the patient's condition is kept known. According to the evaluation result of the patient, the evaluation reminding frequency can be adjusted according to the actual condition, if the illness state of the patient is stable, the reminding frequency can be properly reduced, the disturbance to the normal life of the patient is avoided, and if the illness state fluctuation is large, the reminding frequency can be increased, so that the illness state change can be timely known. The assessment results may provide useful information about the patient's condition, and doctors may make more accurate diagnostic and therapeutic advice based on these results, and patients may share the assessment results with doctors to promote closer doctor-patient communication. Since psychotic chronic disorders typically require long-term treatment and monitoring, the present application provides an effective way for patients to track changes in the condition over a long period of time, thereby better managing the disease. In summary, the method for evaluating mental chronic disease patients by combining intelligent equipment and a periodic evaluation aims to help mental chronic disease patients to better manage their illness state, enhance self-cognition and improve treatment effect.
In some optional embodiments, the evaluation page is provided with at least one scale, each scale is used for indicating a plurality of evaluation items and evaluation options corresponding to each evaluation item, the evaluation operation is a checking operation for the evaluation options, and the evaluation options comprise quantitative options and/or qualitative options.
The beneficial effect of this technical scheme lies in: by setting a plurality of scales, each scale contains a plurality of evaluation items and corresponding evaluation options, the evaluation can be made more objective and standardized. By choosing quantitative and/or qualitative options, the patient can more accurately express his own symptoms and feelings, thereby helping the physician to better understand his/her condition. Each scale may cover different aspects such as symptom severity, emotional state, daily functioning, etc. This helps to fully assess the patient's condition and to gain a better understanding of their physical and mental state. Through periodically obtaining the evaluation results of the scale, doctors can analyze the change trend of the illness state of patients, thereby making more personalized treatment strategies. Different assessment options may be associated with different treatment regimens, helping the physician to make more accurate decisions. Comparison of the multiple assessment results may reveal long-term trends in the condition, including recovery processes and possible fluctuations. This helps doctors and patients to better understand the effect of the treatment, make adjustments and optimize. The accumulation and analysis of assessment data may provide insight to the medical team regarding the trend of group diseases and the effectiveness of treatment. This has a positive impact on formulating more effective health policies and treatment regimens. In conclusion, through introducing the multi-dimensional measurement table to evaluate, the refinement degree of patient management and treatment is enhanced, so that the treatment effect and the quality of life of the mental chronic disease patients are improved.
In some alternative embodiments, the disease type of the patient comprises psychotic chronic disease, and the category of the scale comprises one or more of: medication compliance scale, anxiety self-scale, side-response scale, disability scale, depression screening scale, stress feeling scale, cognitive flexibility scale, and social support scale.
The beneficial effect of this technical scheme lies in: different kinds of scales may cover aspects of psychotic chronic diseases such as medication compliance, anxiety, depression, cognitive flexibility, etc. This helps the doctor to make a more personalized treatment plan, and to perform accurate interventions based on the patient's condition characteristics. In particular, by means of side-effect scales and disability rating scales, patients may be monitored in time for adverse drug effects and impaired lifestyle that may occur during treatment. This can help doctors adjust treatment regimens in time, reduce adverse reactions and improve quality of life. Anxiety self-assessment scale, depression screening scale, stress feel scale, etc., help assess psychological states and mood changes in patients. This provides the physician with more information about the mental health of the patient, enabling better intervention and treatment. The social support rating scale may evaluate the patient's social support networks and relationships. This helps doctors to understand the social support of patients in daily life, helping them to better cope with the stress and challenges caused by the disease. Through multiple evaluations, the progress of treatment and changes in the condition of the patient can be tracked. The doctor can evaluate the treatment effect according to the results of different scales, and timely adjust the treatment scheme to ensure that the patient obtains the optimal curative effect. In conclusion, by introducing various scales, personalized treatment and overall management of patients with mental chronic diseases are further enhanced, and the treatment effect and the life quality of the patients are improved.
In some alternative embodiments, the at least one processor is configured to execute the computer program to further implement the steps of:
generating a corresponding evaluation report according to the evaluation result and displaying the evaluation report by using the display screen, wherein the form of the evaluation report comprises one or more of the following: bar graph, line graph, pie graph, scatter graph, bubble graph, and radar graph.
The beneficial effect of this technical scheme lies in: by using charts of different forms, such as bar charts, line charts, pie charts and the like, complex evaluation results can be presented as graphs which are easy to understand, so that patients and doctors can quickly and accurately grasp the change trend of the illness state and key information. Specifically, the charts such as the line graph, the bar graph and the like can clearly show the change trend of the illness state of the patient. This helps the patient and doctor to understand the progress of the condition and how effective the treatment is. By using the charts such as bubble diagrams and scatter diagrams, a plurality of evaluation results can be displayed in a multi-dimensional mode, and the method is beneficial to the patients and doctors to deeply analyze the conditions of different aspects.
In some alternative embodiments, the at least one processor is configured to execute the computer program to further implement the steps of:
Detecting whether the evaluation result meets a preset review condition;
if the evaluation result meets the review conditions, pushing review reminding information to the terminal equipment to prompt the patient to go to a hospital for review;
and if the evaluation result does not meet the review condition, pushing nursing prompt information to the terminal equipment so as to prompt the patient to carry out nursing at home.
The beneficial effect of this technical scheme lies in: according to the preset review conditions, whether the current state of illness of the patient needs further hospital review can be intelligently judged. This helps to avoid unnecessary hospital visits, saving time and effort for the patient. Specifically, when the evaluation result meets the review condition, review reminding information can be automatically pushed to terminal equipment of a patient, so that the patient can be ensured to go to a hospital in time for further examination and evaluation, and the continuity and accuracy of treatment are ensured. If the evaluation result does not meet the review condition, the system can push nursing prompt information to the patient to guide the patient to carry out self-nursing at home. This helps the patient to better manage the condition and lessens unnecessary medical burden. According to the review conditions and the nursing prompts, personalized intervention suggestions can be provided for the conditions of different patients, so that the patients can take proper actions according to the conditions. By reducing unnecessary hospital review, the utilization of medical resources can be effectively optimized, enabling the medical system to operate more efficiently. This system encourages patients to participate more actively in their own treatment and management, enhancing the patient's sense of responsibility for their own health. In summary, by intelligently judging the needs of review and care, more intelligent, personalized and effective medical management is provided, thereby improving the treatment experience and treatment effect of patients.
In some alternative embodiments, the review conditions include one or more of the following:
the current illness state score is not smaller than a first preset score;
the recovery score is not greater than a second preset score;
the overall health score is no greater than a third preset score.
The beneficial effect of this technical scheme lies in: the preset review conditions are based on the setting of different scores, and whether review is needed or not can be judged according to different conditions of the patient's illness state and treatment progress. This helps to reduce unnecessary hospital visits while ensuring that those patients who really need further examination are promptly concerned. The patient's condition stability can be judged by comparing the current condition score, the recovery score, and the overall health score with a preset score. This helps doctors and patients to better understand the condition changes and thus formulate corresponding treatment and management strategies. The patient can know the disease state of himself more clearly according to the evaluation result and the recheck condition. This allows them to more autonomously decide whether to go to a hospital for review, enhancing patient engagement with the treatment process. By setting reasonable review conditions, the use of medical resources can be controlled to a degree that ensures that resources can be more optimally allocated to those most needed patients. Avoiding unnecessary hospital visits can reduce the burden on patients and improve their therapeutic experience. Patients may focus more on home care and self-management, thereby better controlling the disease. In conclusion, through presetting the review conditions, more intelligent, accurate and efficient medical management is realized, the treatment experience of patients is improved, the utilization of medical resources is optimized, and the individuation effect of treatment is improved.
In some alternative embodiments, if the evaluation result satisfies the review condition, the at least one processor is configured to execute the computer program to further implement the steps of:
acquiring scheduling information of a main doctor of the patient;
according to the scheduling information, at least one reserved time period in a preset duration is obtained;
selecting one of at least one appointment-capable time period as a visit time period of the patient, and registering the patient on line according to the visit time period.
The beneficial effect of this technical scheme lies in: by acquiring the scheduling information of the main doctor of the patient, the appointment time period conforming to the schedule of the patient can be provided for the patient according to the requirements of the patient and the time schedule of the doctor, so that personalized treatment service is realized. The patient does not need to go to the hospital to register himself, but reserves the time of the visit by an on-line mode. The time and inconvenience of registering and waiting are greatly reduced, and the convenience of medical treatment is improved. Through intelligent scheduling and appointment, the hospital can better arrange the working time of doctors and the treatment time of patients, so that the distribution of medical resources is optimized, and the medical efficiency is improved. The patient can choose the appropriate time period for his or her visit according to his or her own schedule. This enhances the patient's sense of participation in the medical procedure, making them more actively involved in therapy management. Through the appointment time of visiting, can avoid unnecessary latency, the patient can seek medical advice more fast in the appointment time quantum, improves efficiency and experience of seeking medical advice. The patient can arrange time in advance before the doctor and patient visit, avoid unnecessary waiting to improve the quality and the effect of doctor-patient communication. In conclusion, through the intelligent appointment time, more convenient and efficient medical services are provided for patients, and meanwhile, the hospital resource utilization is optimized, and the doctor-patient relationship is improved.
In some alternative embodiments, the processor is configured to select one of the at least one appointment time period as a visit time period for the patient when executing the computer program in the following manner:
acquiring the patient's visit preference information;
and selecting one of at least one appointment-capable time period as a treatment time period of the patient according to the treatment preference information.
The beneficial effect of this technical scheme lies in: according to the patient's visit preference information, the system can understand the patient's schedule and preference more accurately, select the most suitable time period of visiting for it, this helps satisfying patient's individual demand, promotes the experience of visiting the doctor. Matching the patient's visit times to their preferences may make the patient feel more important, thereby increasing their satisfaction and loyalty. The time for the doctor to visit is selected according to the preference of the patient, so that unnecessary waiting can be avoided, and inconvenience in the doctor-seeking process is reduced. The patient's participation in the medical procedure is enhanced in keeping with the patient's visit preference. Patients can schedule visits more autonomously to better manage their health. The time of the doctor is selected according to the preference of the patient, so that the patient can communicate with the doctor better, and the doctor can know the needs and expectations of the patient better. The patient is provided with a personalized medical experience according to the visit preferences, rendering them feel personalized customization of the medical service. In summary, by intelligently selecting the treatment time according with the treatment preference of the patient, more personalized and highly satisfactory medical services are provided, and meanwhile, the doctor-patient relationship and the service quality of the hospital are improved.
In a second aspect, the present application provides a medical system comprising: any one of the above evaluation apparatuses; the display screen is used for displaying a preset evaluation page; and the interaction equipment is used for receiving the evaluation operation of the patient.
In a third aspect, the present application provides a computer readable storage medium storing a computer program which, when executed by at least one processor, performs the functions of any one of the above-described assessment devices.
In a fourth aspect, the present application also provides a computer program product comprising a computer program which, when executed by at least one processor, performs the functions of any of the above-mentioned assessment devices.
Drawings
The present application is further described below with reference to the drawings and embodiments.
Fig. 1 is a block diagram of an evaluation apparatus according to an embodiment of the present application.
Fig. 2 is a flow chart of an evaluation method according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a program product according to an embodiment of the present application.
Detailed Description
The technical solutions in the present application will be described below with reference to the drawings and the specific embodiments in the specification of the present application, and it should be noted that, on the premise of no conflict, new embodiments may be formed by any combination of the embodiments or technical features described below.
In the embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, a and b, a and c, b and c, a and b and c, wherein a, b and c can be single or multiple. It is noted that "at least one" may also be interpreted as "one (a) or more (a)".
It is also noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any implementation or design described as "exemplary" or "e.g." in the examples of this application should not be construed as preferred or advantageous over other implementations or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In the following, one of the application areas of the present application (i.e. the implantable neurostimulator) will be briefly described.
Implantable medical systems include implantable neurostimulation systems, implantable cardiac electrical stimulation systems (also known as cardiac pacemakers), implantable drug infusion systems (Implantable Drug Delivery System, IDDS for short), lead switching systems, and the like. The implantable nerve electrical stimulation system is, for example, a deep brain electrical stimulation system (Deep Brain Stimulation, abbreviated as DBS), an implantable brain cortex stimulation system (Cortical Nerve Stimulation, abbreviated as CNS), an implantable spinal cord electrical stimulation system (Spinal Cord Stimulation, abbreviated as SCS), an implantable sacral nerve electrical stimulation system (Sacral Nerve Stimulation, abbreviated as SNS), an implantable vagal nerve electrical stimulation system (Vagus Nerve Stimulation, abbreviated as VNS), or the like.
An implantable neural electrical stimulation system includes a stimulator (i.e., an implantable neural stimulator, a neural stimulation device) implanted in a patient and a programmable device disposed outside the patient. That is, the stimulator is an implant or the implant includes a stimulator. The related nerve regulation technology mainly implants electrodes (the electrodes are in the form of electrode wires for example) at specific parts (namely targets) of tissues of organisms through stereotactic surgery, and electric pulses are sent to the targets through the electrodes to regulate and control the electric activities and functions of corresponding nerve structures and networks, so that symptoms are improved and pains are relieved. Wherein the stimulator may include an IPG, an extension lead, and an electrode lead, the IPG (implantable pulse generator ) being disposed within the patient and configured to provide controllable electrical stimulation energy to tissue within the body by means of a sealed battery and electrical circuit in response to programming instructions sent by the programming device. The IPG delivers one or more controllable specific electrical stimuli to specific areas of tissue in the body by extending the leads and electrode leads. The extension lead is matched with the IPG to be used as a transmission medium of the electrical stimulation signals, and the electrical stimulation signals generated by the IPG are transmitted to the electrode lead. The electrode leads deliver electrical stimulation to specific areas of tissue in the body through a plurality of electrode contacts. The stimulator is provided with one or more electrode wires on one side or two sides, a plurality of electrode contacts are arranged on the electrode wires, and the electrode contacts can be uniformly arranged or non-uniformly arranged on the circumferential direction of the electrode wires. As an example, the electrode contacts may be arranged in an array of 4 rows and 3 columns (12 electrode contacts in total) in the circumferential direction of the electrode wire. The electrode contacts may include stimulation electrode contacts and/or harvesting electrode contacts. The electrode contact may take the shape of a sheet, ring, dot, or the like, for example.
In other embodiments, the stimulator includes only the pulse generator and the electrode lead. The pulse generator is embedded in the skull of the patient, the electrode lead is implanted in the skull of the patient, and the pulse generator is directly connected with the electrode lead without extending the lead.
As one example, a deep brain electrical stimulation system (Deep Brain Stimulation, DBS for short) includes a pulse generator (Implantable Pulse Generator, IPG), an extension lead, and an electrode lead, with which the IPG is connected. The IPG is implanted in the patient, for example, in the patient's chest or other in-vivo location.
As another example, the DBS includes an IPG and an electrode lead, with the IPG being directly connected to the electrode lead. The IPG is implanted in the head of the patient, for example by slotting the skull of the patient, and then fitting the IPG in the slot of the skull, in which case the IPG may not protrude from the outer surface of the skull, or may protrude partially from the outer surface of the skull.
In some embodiments, the stimulated in vivo tissue may be brain tissue of a patient and the stimulated site may be a specific site of brain tissue. When the type of disease in the patient is different, the location to be stimulated will generally be different, as will the number of stimulation contacts (single or multiple sources) used, the application of one or more (single or multiple channels) specific electrical stimulation signals, and the stimulation parameter data. The embodiment of the present application is not limited to the applicable disease type, and may be a disease type to which Deep Brain Stimulation (DBS), spinal Cord Stimulation (SCS), pelvic stimulation, gastric stimulation, peripheral nerve stimulation, functional electrical stimulation are applicable. Among the types of diseases that DBS may be used to treat or manage include, but are not limited to: spasticity (e.g., epilepsy), pain, migraine, psychotic disorders (e.g., major Depressive Disorder (MDD)), bipolar disorder, anxiety, post-traumatic stress disorder, depression, obsessive Compulsive Disorder (OCD), behavioral disorders, mood disorders, memory disorders, mental state disorders, movement disorders (e.g., essential tremor or parkinson's disease), huntington's disease, alzheimer's disease, drug addiction, autism, or other neurological or psychiatric disorders and impairments.
In this embodiment of the present application, when the program control device and the stimulator establish program control connection, the program control device may be used to adjust the stimulation parameters of the stimulator (or the stimulation parameters of the pulse generator, where the electrical stimulation signals corresponding to different stimulation parameters are different), or the stimulator may sense the electrophysiological activity of the patient to acquire bioelectric signals, and may continuously adjust the stimulation parameters of the stimulator through the acquired bioelectric signals.
The stimulation parameters of the electrical stimulation signals may include one or more of frequency (e.g., number of electrical stimulation pulses per time unit of 1s in Hz), pulse width (duration of each pulse in mus), and amplitude (typically expressed in terms of voltage, i.e., intensity of each pulse in V), timing (e.g., may be continuous or triggered), stimulation pattern (including one or more of current pattern, voltage pattern, timed stimulation pattern, and cyclic stimulation pattern), physician upper and lower control limits (physician adjustable range), and patient upper and lower control limits (patient autonomously adjustable range). Any one or more of the following. In particular applications, the various stimulation parameters of the stimulator may be adjusted in either current mode or voltage mode.
The programming device may be a doctor programmer (i.e., a programmer used by a doctor) or a patient programmer (i.e., a programmer used by a patient). The doctor program controller can be, for example, intelligent terminal equipment such as a tablet computer, a notebook computer, a desktop computer, a mobile phone and the like which are provided with program control software. The patient programmer can be, for example, a tablet computer, a notebook computer, a desktop computer, a mobile phone and other intelligent terminal devices with program control software, and the patient programmer can also be other electronic devices with program control functions (for example, a charger with program control functions and a data acquisition device).
The data interaction of the doctor program controller and the stimulator is not limited, and when the doctor remotely programs the program, the doctor program controller can interact with the stimulator through the server and the patient program controller. When the doctor performs program control in a face-to-face manner with the patient, the doctor program controller can perform data interaction with the stimulator through the patient program controller, and the doctor program controller can also perform data interaction with the stimulator directly.
The patient programmer may include a host in communication with the server and a sub-machine in communication with the stimulator, the host and the sub-machine being communicatively coupled. The doctor program controller can conduct data interaction with the server through the 3G/4G/5G network, the server can conduct data interaction with the host through the 3G/4G/5G network, the host can conduct data interaction with the sub-machine through the Bluetooth protocol/WIFI protocol/USB protocol, the sub-machine can conduct data interaction with the stimulator through the 401MHz-406MHz working frequency band/2.4 GHz-2.48GHz working frequency band, and the doctor program controller can conduct data interaction with the stimulator directly through the 401MHz-406MHz working frequency band/2.4 GHz-2.48GHz working frequency band.
For mental chronic diseases, the treatment period and the recovery period are longer, the self-cognition of the patient is limited, the patient needs to perform self-evaluation at home regularly to know the disease condition of the patient, and the self-cognition is enhanced, however, the memory of the patient with mental chronic diseases is generally poor, the patient easily forgets to evaluate the disease condition, and the patient cannot grasp the latest mental condition and disease condition of the patient.
Based on this, the present application provides an evaluation apparatus, a medical system, and a computer-readable storage medium to improve the related art.
Evaluation apparatus embodiment
The application provides an assessment device comprising a memory and at least one processor, the memory storing a computer program, the at least one processor being configured to implement the following steps when executing the computer program:
displaying a preset evaluation page by using a display screen;
responding to the evaluation operation of a patient on the evaluation page, and acquiring an evaluation result corresponding to the patient, wherein the evaluation result comprises one or more of the following: the current illness state score, the recovery score and the overall health score;
setting corresponding evaluation reminding frequency according to the evaluation result;
And pushing evaluation reminding information to the terminal equipment of the patient at regular time according to the evaluation reminding frequency so as to prompt the patient to evaluate.
The scoring mechanism of the current illness state scoring, the recovery scoring and the overall health scoring is not limited, and the current illness state scoring, the recovery scoring and the overall health scoring can be made of full 10 points or full 100 points. The higher the condition score, the more severe the condition of the patient, the higher the recovery score, the better the condition of the patient is recovered, and the higher the overall health score, the higher the overall health of the patient. The recovery score can be calculated according to the disease condition score of the last evaluation and the disease condition score of the current evaluation, specifically, the difference value between the disease condition score of the last evaluation and the disease condition score of the current evaluation is higher when the difference value is positive, so that the recovery of the patient is better, and when the difference value is negative, the disease condition of the patient is worsened.
In one embodiment, when the evaluation result shows that the current condition score is 30 minutes, the evaluation reminding frequency is 1 time/1 week, when the evaluation result shows that the current condition score is 20 minutes, the evaluation reminding frequency is 1 time/1 month, and when the evaluation result shows that the current condition score is 50 minutes, the evaluation reminding frequency is 1 time/2 days.
The evaluation device and the terminal device (used by the patient) can be independent, and the evaluation device and the terminal device can be integrated. When the evaluation apparatus and the terminal apparatus are each independent, the evaluation apparatus may be an apparatus having a computing capability such as a computer, a server (including a cloud server), or the like.
In this embodiment, the preset evaluation page is, for example, an evaluation page in the application program of the patient side.
The terminal device is not limited, and may be, for example, an intelligent terminal device having a display screen, a microphone and a speaker, such as a mobile phone, a tablet computer, a notebook computer, a desktop computer, an intelligent wearable device, or may be a workstation or a console having a display screen, a microphone and a speaker. The display screen may be a touch display screen or a non-touch display screen.
In one embodiment, the assessment reminder information is, for example: "your evaluation time has arrived, please perform the evaluation as soon as possible".
Therefore, the frequency of evaluation reminding is adjusted according to the evaluation result, so that the patient is helped to complete evaluation on time, and self-cognition is enhanced. Specifically, by periodic evaluation, the patient can more deeply understand his or her mental condition and illness. This helps the patient to enhance his or her knowledge of his or her state, thereby better managing and controlling the disease. Because the memory of the patient may be poor, they may forget to perform the periodic evaluation, and through the timing reminding function, the patient is ensured to complete the evaluation on time, so that the patient's condition is kept known. According to the evaluation result of the patient, the evaluation reminding frequency can be adjusted according to the actual condition, if the illness state of the patient is stable, the reminding frequency can be properly reduced, the disturbance to the normal life of the patient is avoided, and if the illness state fluctuation is large, the reminding frequency can be increased, so that the illness state change can be timely known. The assessment results may provide useful information about the patient's condition, and doctors may make more accurate diagnostic and therapeutic advice based on these results, and patients may share the assessment results with doctors to promote closer doctor-patient communication. Since psychotic chronic disorders typically require long-term treatment and monitoring, the present application provides an effective way for patients to track changes in the condition over a long period of time, thereby better managing the disease. In summary, the method for evaluating mental chronic disease patients by combining intelligent equipment and a periodic evaluation aims to help mental chronic disease patients to better manage their illness state, enhance self-cognition and improve treatment effect.
In some embodiments, the evaluation page is provided with at least one scale, each scale is used for indicating a plurality of evaluation items and evaluation options corresponding to each evaluation item, the evaluation operation is a checking operation for the evaluation options, and the evaluation options comprise quantitative options and/or qualitative options.
The qualitative choices are, for example, yes/no, gender, native place, etc. Quantitative options are for example mild, moderate, severe.
In other embodiments, the evaluation operation may be a voice operation, and some patients with weak hand operation may select corresponding evaluation options through a voice recognition technology to complete evaluation.
Therefore, by setting a plurality of scales, each scale comprises a plurality of evaluation items and corresponding evaluation options, the evaluation can be more objective and standardized. By choosing quantitative and/or qualitative options, the patient can more accurately express his own symptoms and feelings, thereby helping the physician to better understand his/her condition. Each scale may cover different aspects such as symptom severity, emotional state, daily functioning, etc. This helps to fully assess the patient's condition and to gain a better understanding of their physical and mental state. Through periodically obtaining the evaluation results of the scale, doctors can analyze the change trend of the illness state of patients, thereby making more personalized treatment strategies. Different assessment options may be associated with different treatment regimens, helping the physician to make more accurate decisions. Comparison of the multiple assessment results may reveal long-term trends in the condition, including recovery processes and possible fluctuations. This helps doctors and patients to better understand the effect of the treatment, make adjustments and optimize. The accumulation and analysis of assessment data may provide insight to the medical team regarding the trend of group diseases and the effectiveness of treatment. This has a positive impact on formulating more effective health policies and treatment regimens. In conclusion, through introducing the multi-dimensional measurement table to evaluate, the refinement degree of patient management and treatment is enhanced, so that the treatment effect and the quality of life of the mental chronic disease patients are improved.
In some embodiments, the disease type of the patient comprises psychotic chronic disease, and the category of the scale comprises one or more of: medication compliance scale, anxiety self-scale, side-response scale, disability scale, depression screening scale, stress feeling scale, cognitive flexibility scale, and social support scale.
In one embodiment, the category of the gauge may further include: compulsive symptom behavior questionnaires, barrett impulse scales, large five personality test scales, childhood experience questionnaires, compulsive belief questionnaires, demographic resource scales, behavior suppression/activation system scales, yale-Brown compulsory scales, and psychosis scales.
As one example, the content of the medication compliance scale is as follows:
1. is you sometimes forgetting to take a medicine? Yes/no
2. Within the last 2 weeks, do one or more days you forget to take the drug? Yes/no
3. During treatment, when you feel that symptoms are aggravated or other symptoms are present, do you not inform the doctor to reduce the dosage by themselves or stop taking the medicine? Yes/no
4. Do you sometimes forget to take the drug with you when you travel or leave home for a long time? Yes/no
5. Do you take medicine yesterday? Yes/no
6. When you feel that their own condition has been controlled, do you stop overdosing? Yes/no
7. Do you feel there is difficulty in adhering to the treatment plan? Yes/no
8. Do you feel to remember to take the medicine on time and in volume? Yes/no
Description: the choice is 1 score for questions 1-7, otherwise 0 score. Eighth problem, never: score 1, occasional: 0.75 minutes, sometimes: 0.5 minutes, often 0.25 minutes, all time 0 minutes. The total 8-point medicine has high compliance, medium compliance of 5-7 points and poor compliance of 0-5 points.
The anxiety self-rating scale is as follows:
1. numbness or tingling: none, mild, moderate and severe
2. Feel hot: none, mild, moderate and severe
3. Leg tremble: none, mild, moderate and severe
4. Cannot relax: none, mild, moderate and severe
5. Fear of bad things occurring: none, mild, moderate and severe
6. Dizziness: none, mild, moderate and severe
7. Palpitations or increased heart rate: none, mild, moderate and severe
8. The mind is unstable: none, mild, moderate and severe
9. Frightening: none, mild, moderate and severe
10. Tension: none, mild, moderate and severe
11. Choking sensation: none, mild, moderate and severe
12. Hand tremble: none, mild, moderate and severe
13. And (3) shaking: none, mild, moderate and severe
14. Fear of runaway: none, mild, moderate and severe
15. Dyspnea: none, mild, moderate and severe
16. Fear to die off soon: none, mild, moderate and severe
17. Panic: none, mild, moderate and severe
18. Dyspepsia or abdominal discomfort: none, mild, moderate and severe
19. Syncope: none, mild, moderate and severe
20. Redness of face: none, mild, moderate and severe
21. Perspiration (not due to weather heat sweating): none, mild, moderate and severe
Description: none = 0, mild = 1, moderate = 2, severe = 3, all topic scores are added.
Anxiety free: 0-7, light: 8-15, moderate: 16-25, severe: 26-63
Thus, different kinds of scales can cover aspects of psychotic chronic diseases, such as medication compliance, anxiety, depression, cognitive flexibility, etc. This helps the doctor to make a more personalized treatment plan, and to perform accurate interventions based on the patient's condition characteristics. In particular, by means of side-effect scales and disability rating scales, patients may be monitored in time for adverse drug effects and impaired lifestyle that may occur during treatment. This can help doctors adjust treatment regimens in time, reduce adverse reactions and improve quality of life. Anxiety self-assessment scale, depression screening scale, stress feel scale, etc., help assess psychological states and mood changes in patients. This provides the physician with more information about the mental health of the patient, enabling better intervention and treatment. The social support rating scale may evaluate the patient's social support networks and relationships. This helps doctors to understand the social support of patients in daily life, helping them to better cope with the stress and challenges caused by the disease. Through multiple evaluations, the progress of treatment and changes in the condition of the patient can be tracked. The doctor can evaluate the treatment effect according to the results of different scales, and timely adjust the treatment scheme to ensure that the patient obtains the optimal curative effect. In conclusion, by introducing various scales, personalized treatment and overall management of patients with mental chronic diseases are further enhanced, and the treatment effect and the life quality of the patients are improved.
In some embodiments, the at least one processor is configured to execute the computer program to further implement the steps of:
generating a corresponding evaluation report according to the evaluation result and displaying the evaluation report by using the display screen, wherein the form of the evaluation report comprises one or more of the following: bar graph, line graph, pie graph, scatter graph, bubble graph, and radar graph.
Therefore, by using charts with different forms, such as bar charts, line charts, pie charts and the like, complex evaluation results can be presented as easy-to-understand patterns, so that patients and doctors can quickly and accurately grasp the change trend of the illness state and key information. Specifically, the charts such as the line graph, the bar graph and the like can clearly show the change trend of the illness state of the patient. This helps the patient and doctor to understand the progress of the condition and how effective the treatment is. By using the charts such as bubble diagrams and scatter diagrams, a plurality of evaluation results can be displayed in a multi-dimensional mode, and the method is beneficial to the patients and doctors to deeply analyze the conditions of different aspects.
In some embodiments, the at least one processor is configured to execute the computer program to further implement the steps of:
Detecting whether the evaluation result meets a preset review condition;
if the evaluation result meets the review conditions, pushing review reminding information to the terminal equipment to prompt the patient to go to a hospital for review;
and if the evaluation result does not meet the review condition, pushing nursing prompt information to the terminal equipment so as to prompt the patient to carry out nursing at home.
In one embodiment, the review reminder may be, for example, "please reserve an attending physician review as soon as possible".
The nursing prompt information can comprise a rehabilitation guidance video, and the rehabilitation guidance video can be set according to the evaluation result and the disease type of the patient. The patient can also carry out rehabilitation training along with rehabilitation guidance videos at home, and the mental state of the patient is adjusted.
Therefore, according to the preset review conditions, whether the current state of illness of the patient needs further hospital review can be intelligently judged. This helps to avoid unnecessary hospital visits, saving time and effort for the patient. Specifically, when the evaluation result meets the review condition, review reminding information can be automatically pushed to terminal equipment of a patient, so that the patient can be ensured to go to a hospital in time for further examination and evaluation, and the continuity and accuracy of treatment are ensured. If the evaluation result does not meet the review condition, the system can push nursing prompt information to the patient to guide the patient to carry out self-nursing at home. This helps the patient to better manage the condition and lessens unnecessary medical burden. According to the review conditions and the nursing prompts, personalized intervention suggestions can be provided for the conditions of different patients, so that the patients can take proper actions according to the conditions. By reducing unnecessary hospital review, the utilization of medical resources can be effectively optimized, enabling the medical system to operate more efficiently. This system encourages patients to participate more actively in their own treatment and management, enhancing the patient's sense of responsibility for their own health. In summary, by intelligently judging the needs of review and care, more intelligent, personalized and effective medical management is provided, thereby improving the treatment experience and treatment effect of patients.
In some embodiments, the review conditions include one or more of the following:
the current illness state score is not smaller than a first preset score;
the recovery score is not greater than a second preset score;
the overall health score is no greater than a third preset score.
The first preset score, the second preset score, and the third preset score are not limited, where the first preset score is, for example, 50, 60, 80, or 90, the second preset score is, for example, 50, 60, 80, or 90, and the third preset score is, for example, 50, 60, 80, or 90.
Therefore, the preset review conditions are based on the setting of different scores, and whether review is needed or not can be judged according to different conditions of the patient illness state and treatment progress. This helps to reduce unnecessary hospital visits while ensuring that those patients who really need further examination are promptly concerned. The patient's condition stability can be judged by comparing the current condition score, the recovery score, and the overall health score with a preset score. This helps doctors and patients to better understand the condition changes and thus formulate corresponding treatment and management strategies. The patient can know the disease state of himself more clearly according to the evaluation result and the recheck condition. This allows them to more autonomously decide whether to go to a hospital for review, enhancing patient engagement with the treatment process. By setting reasonable review conditions, the use of medical resources can be controlled to a degree that ensures that resources can be more optimally allocated to those most needed patients. Avoiding unnecessary hospital visits can reduce the burden on patients and improve their therapeutic experience. Patients may focus more on home care and self-management, thereby better controlling the disease. In conclusion, through presetting the review conditions, more intelligent, accurate and efficient medical management is realized, the treatment experience of patients is improved, the utilization of medical resources is optimized, and the individuation effect of treatment is improved.
In some embodiments, if the evaluation result satisfies the review condition, the at least one processor is configured to execute the computer program to further implement the steps of:
acquiring scheduling information of a main doctor of the patient;
according to the scheduling information, at least one reserved time period in a preset duration is obtained;
selecting one of at least one appointment-capable time period as a visit time period of the patient, and registering the patient on line according to the visit time period.
The preset duration is not limited in this embodiment, and the preset duration may be one week, one month or two months.
Therefore, by acquiring the scheduling information of the main doctor of the patient, the appointment time period conforming to the schedule of the patient can be provided for the patient according to the requirements of the patient and the time schedule of the doctor, and personalized treatment service is realized. The patient does not need to go to the hospital to register himself, but reserves the time of the visit by an on-line mode. The time and inconvenience of registering and waiting are greatly reduced, and the convenience of medical treatment is improved. Through intelligent scheduling and appointment, the hospital can better arrange the working time of doctors and the treatment time of patients, so that the distribution of medical resources is optimized, and the medical efficiency is improved. The patient can choose the appropriate time period for his or her visit according to his or her own schedule. This enhances the patient's sense of participation in the medical procedure, making them more actively involved in therapy management. Through the appointment time of visiting, can avoid unnecessary latency, the patient can seek medical advice more fast in the appointment time quantum, improves efficiency and experience of seeking medical advice. The patient can arrange time in advance before the doctor and patient visit, avoid unnecessary waiting to improve the quality and the effect of doctor-patient communication. In conclusion, through the intelligent appointment time, more convenient and efficient medical services are provided for patients, and meanwhile, the hospital resource utilization is optimized, and the doctor-patient relationship is improved.
In some embodiments, the processor is configured to select one of the at least one appointment time period as a visit time period for the patient when executing the computer program in the following manner:
acquiring the patient's visit preference information;
and selecting one of at least one appointment-capable time period as a treatment time period of the patient according to the treatment preference information.
In the embodiment of the application, the patient's visit preference information may be, for example, morning/afternoon, weekday/weekend.
As one example, reddish is a mental chronic disease patient who is using the assessment method to manage her own condition, and the assessment result shows that reddish requires a review of the hospital. The doctor mainly used for treating reddish is a plum doctor, and the system of the hospital has the scheduling information of recording doctors, including the date and time period of weekly work and the like. And calculating the reserved time period in the preset time period according to the scheduling information of the plum doctor, wherein the reserved time period is from 9 am to 11 am on the next sunday and the next thursday. Reddish in the previous application settings indicates that one wishes to visit in the morning on tuesday. According to the doctor's preference information of reddish, a time slot meeting the condition is selected from the reserved time slots as her doctor's time, and 9 am to 11 am on the next wednesday are selected as the doctor's time slot of reddish. And according to the selected treatment time period, carrying out online registration on the reddish. The reddish may confirm registration information in the application, including date of visit, time, doctor information, etc.
Through the flow, the reddish red can acquire the condition of the patient by intelligent evaluation, and then a proper treatment time period is selected for on-line registration according to the scheduling information of the main doctor and the treatment preference of the doctor. This procedure may provide more convenient and personalized medical services to the patient.
Therefore, according to the patient's visit preference information, the system can more accurately understand the patient's time schedule and preference, and select the most suitable visit time period for the patient, which is helpful for meeting the personal demands of the patient and improving the visit experience. Matching the patient's visit times to their preferences may make the patient feel more important, thereby increasing their satisfaction and loyalty. The time for the doctor to visit is selected according to the preference of the patient, so that unnecessary waiting can be avoided, and inconvenience in the doctor-seeking process is reduced. The patient's participation in the medical procedure is enhanced in keeping with the patient's visit preference. Patients can schedule visits more autonomously to better manage their health. The time of the doctor is selected according to the preference of the patient, so that the patient can communicate with the doctor better, and the doctor can know the needs and expectations of the patient better. The patient is provided with a personalized medical experience according to the visit preferences, rendering them feel personalized customization of the medical service. In summary, by intelligently selecting the treatment time according with the treatment preference of the patient, more personalized and highly satisfactory medical services are provided, and meanwhile, the doctor-patient relationship and the service quality of the hospital are improved.
Referring to fig. 1, fig. 1 is a block diagram of a configuration of an evaluation apparatus provided in an embodiment of the present application.
The evaluation device may for example comprise at least one memory 11, at least one processor 12 and a bus 13 connecting the different platform systems.
Memory 11 may include readable media in the form of volatile memory, such as Random Access Memory (RAM) 111 and/or cache memory 112, and may further include Read Only Memory (ROM) 113.
The memory 11 also stores a computer program that can be executed by the processor 12, so that the processor 12 realizes the above steps.
Memory 11 may also include utility 114 having at least one program module 115, such program modules 115 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Accordingly, the processor 12 may execute the computer programs described above, as well as may execute the utility 114.
The processor 12 may employ one or more application specific integrated circuits (ASICs, application Specific Integrated Circuit), DSPs, programmable logic devices (PLDs, programmable Logic Device), complex programmable logic devices (CPLDs, complex Programmable Logic Device), field programmable gate arrays (FPGAs, fields-Programmable Gate Array), or other electronic components.
Bus 13 may be a local bus representing one or more of several types of bus structures including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or any of a variety of bus architectures.
The assessment device may also communicate with one or more external devices, such as a keyboard, pointing device, bluetooth device, etc., as well as with one or more devices capable of interacting with the assessment device, and/or with any device (e.g., router, modem, etc.) that enables the assessment device to communicate with one or more other computing devices. Such communication may be via the input-output interface 14. And, the evaluation device may also communicate with one or more networks, such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the internet, through the network adapter 15. The network adapter 15 may communicate with other modules of the evaluation device via the bus 13. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with the assessment device in actual applications, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, data backup storage platforms, and the like.
Method embodiment
Referring to fig. 2, fig. 2 is a schematic flow chart of an evaluation method according to an embodiment of the present application.
The embodiment of the application also provides an evaluation method, which comprises the following steps:
s1: displaying a preset evaluation page by using a display screen, wherein the evaluation page is provided with at least one scale, each scale is used for indicating a plurality of evaluation items and evaluation options corresponding to each evaluation item, the evaluation operation is a checking operation aiming at the evaluation options, and the evaluation options comprise quantitative options and/or qualitative options; wherein the disease type of the patient comprises mental chronic diseases, and the category of the scale comprises one or more of the following: medication compliance scale, anxiety self-scale, side-response scale, disability scale, depression screening scale, stress feeling scale, cognitive flexibility scale, and social support scale;
s2: responding to the evaluation operation of a patient on the evaluation page, and acquiring an evaluation result corresponding to the patient, wherein the evaluation result comprises one or more of the following: the current illness state score, the recovery score and the overall health score;
s3: setting corresponding evaluation reminding frequency according to the evaluation result, generating a corresponding evaluation report and displaying the evaluation report by using the display screen, wherein the form of the evaluation report comprises one or more of the following: bar graph, line graph, pie graph, scatter graph, bubble graph, and radar graph;
S4: according to the evaluation reminding frequency, pushing evaluation reminding information to terminal equipment of the patient at regular time to prompt the patient to evaluate;
s5: detecting whether the evaluation result meets a preset review condition or not, wherein the review condition comprises one or more of the following: the current illness state score is not smaller than a first preset score; the recovery score is not greater than a second preset score; the overall health score is not greater than a third preset score; if the evaluation result meets the review condition, executing S6-S9, and if the evaluation result does not meet the review condition, executing S10;
s6: pushing review reminding information to the terminal equipment so as to prompt the patient to go to a hospital for review;
s7: the method comprises the steps of acquiring scheduling information of a main doctor of the patient and treatment preference information of the patient;
s8: according to the scheduling information, at least one reserved time period in a preset duration is obtained;
s9: selecting one of at least one appointment-capable time period as a diagnosis time period of the patient according to the diagnosis preference information, and registering the patient on line according to the diagnosis time period;
s10: and pushing nursing prompt information to the terminal equipment so as to prompt the patient to carry out nursing at home.
In one embodiment, in the assessment report, personalized advice and intervention measures, such as recommending specific psychological grooming methods, lifestyle improvement advice, etc., may be provided based on the patient's assessment results to more specifically assist the patient in managing the disease. In the evaluation report, besides the current evaluation result, the history evaluation data can be analyzed to predict the future illness state trend of the patient, so that doctors and the patient can be helped to take intervention measures earlier. During the assessment process, real-time feedback may be introduced, such as displaying scores and interpretations immediately after the patient completes a certain assessment item, to increase user interactivity and allow them to learn more about their own condition. A platform is provided for doctors, and evaluation reports, disease change trends and intervention measures of patients can be checked, so that remote medical support and guidance are better provided for the patients. In the reservation process, an intelligent queuing system can be introduced, the reservation time is optimized according to the condition of a patient and the time of a doctor, and the waiting time is reduced. The reservation system is integrated with information such as scheduling and resource allocation of a hospital, so that the reservation flow is ensured to be smoother, and the resource waste is reduced. An interactive platform is provided for patients and doctors, online consultation, communication and remote monitoring are supported, and the connection between doctors and patients is enhanced. In the whole process, the privacy of a patient is ensured to be protected, and the medical data is safe and reliable. Providing an auxiliary function for patients in need thereof (such as vision impaired patients) to ensure that they can conveniently use the assessment device.
System embodiment
The embodiment of the application also provides a medical system, which comprises: any one of the above evaluation apparatuses; the display screen is used for displaying a preset evaluation page; and the interaction equipment is used for receiving the evaluation operation of the patient.
In some embodiments, the interaction device, the display screen, and the assessment device are integrated.
The interactive device may include one or more of the following: mouse, keyboard, microphone, camera, button, knob, slide button, touch-control board and stylus.
Computer-readable storage medium embodiments
The embodiment of the application further provides a computer readable storage medium, and the specific embodiments of the computer readable storage medium are consistent with the technical effects achieved by the embodiments, and some of the details are not repeated.
The computer readable storage medium stores a computer program which, when executed by at least one processor, performs the steps or functions of any of the above-described assessment devices.
The computer readable medium may be a computer readable signal medium or a computer readable storage medium. In the context of the present application, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable storage medium may also be any computer readable medium that can transmit, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing. Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the C programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
Computer program product embodiments
The embodiments of the present application further provide a computer program product, where specific embodiments of the computer program product are consistent with technical effects achieved by the foregoing embodiments, and some of the details are not described herein.
The present application provides a computer program product comprising a computer program which, when executed by at least one processor, performs the steps or functions of any of the above-mentioned assessment devices.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a computer program product according to an embodiment of the present application.
The computer program product is configured to implement the steps of any of the methods described above or to implement the functions of any of the assessment devices described above. The computer program product may employ a portable compact disc read only memory (CD-ROM) and comprise program code and may run on a terminal device, such as a personal computer. However, the computer program product of the present invention is not limited thereto, and the computer program product may employ any combination of one or more computer readable media.
The present application is directed to functional enhancement and use elements, which are emphasized by the patent laws, such as the description and drawings, of the present application, but are not limited to the preferred embodiments of the present application, and therefore, all equivalents and modifications, equivalents, and modifications, etc. of the structures, devices, features, etc. of the present application are included in the scope of the present application.

Claims (10)

1. An assessment device comprising a memory and at least one processor, the memory storing a computer program, the at least one processor being configured to implement the following steps when executing the computer program:
displaying a preset evaluation page by using a display screen;
responding to the evaluation operation of a patient on the evaluation page, and acquiring an evaluation result corresponding to the patient, wherein the evaluation result comprises one or more of the following: the current illness state score, the recovery score and the overall health score;
setting corresponding evaluation reminding frequency according to the evaluation result;
and pushing evaluation reminding information to the terminal equipment of the patient at regular time according to the evaluation reminding frequency so as to prompt the patient to evaluate.
2. The evaluation apparatus according to claim 1, wherein the evaluation page is provided with at least one scale, each scale being for indicating a plurality of evaluation items and an evaluation option corresponding to each evaluation item, the evaluation operation being a checking operation for the evaluation option, the evaluation option including a quantitative option and/or a qualitative option.
3. The assessment device according to claim 2, wherein the disease type of the patient comprises mental chronic diseases, the category of the scale comprises one or more of the following: medication compliance scale, anxiety self-scale, side-response scale, disability scale, depression screening scale, stress feeling scale, cognitive flexibility scale, and social support scale.
4. The assessment device of claim 1, wherein the at least one processor is configured to execute the computer program to further implement the steps of:
generating a corresponding evaluation report according to the evaluation result and displaying the evaluation report by using the display screen, wherein the form of the evaluation report comprises one or more of the following: bar graph, line graph, pie graph, scatter graph, bubble graph, and radar graph.
5. The assessment device of claim 1, wherein the at least one processor is configured to execute the computer program to further implement the steps of:
detecting whether the evaluation result meets a preset review condition;
if the evaluation result meets the review conditions, pushing review reminding information to the terminal equipment to prompt the patient to go to a hospital for review;
and if the evaluation result does not meet the review condition, pushing nursing prompt information to the terminal equipment so as to prompt the patient to carry out nursing at home.
6. The assessment device of claim 5, wherein the review conditions include one or more of:
the current illness state score is not smaller than a first preset score;
The recovery score is not greater than a second preset score;
the overall health score is no greater than a third preset score.
7. The assessment device of claim 5, wherein if the assessment result satisfies the review condition, the at least one processor is configured to execute the computer program to further implement the steps of:
acquiring scheduling information of a main doctor of the patient;
according to the scheduling information, at least one reserved time period in a preset duration is obtained;
selecting one of at least one appointment-capable time period as a visit time period of the patient, and registering the patient on line according to the visit time period.
8. The assessment device of claim 7, wherein the processor is configured to select one of at least one appointment time period as the patient's visit time period when executing the computer program by:
acquiring the patient's visit preference information;
and selecting one of at least one appointment-capable time period as a treatment time period of the patient according to the treatment preference information.
9. A medical system, the medical system comprising:
The assessment apparatus of any one of claims 1 to 8;
the display screen is used for displaying a preset evaluation page;
and the interaction equipment is used for receiving the evaluation operation of the patient.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by at least one processor, implements the functions of the assessment apparatus of any one of claims 1 to 8.
CN202311226369.XA 2023-09-21 2023-09-21 Evaluation device, medical system, and computer-readable storage medium Pending CN117275637A (en)

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