Preestablished medical care plan generation method and device, electronic equipment and storage medium

Abstract

The invention discloses a preset medical care plan generation method and device, electronic equipment and a storage medium, and relates to the technical field of preset medical care plans, and the method comprises the steps: obtaining user medical record change information in response to triggering of preset medical care plan evaluation, generating a user communication document and corresponding visual user communication guidance information according to the user medical record change information; and in response to completion of the user communication document, generating a preset medical care plan according to the user communication document. According to the application, different system information is integrated, the dynamic change of the illness state of the user can be combined when the preset medical care plan is determined, and systematic and standardized guidance is given to medical personnel, so that the quality and timeliness of the care plan are improved.

Description

Technical Field

[0001] This application relates to the field of advance care planning technology, and in particular to a method, apparatus, electronic device and storage medium for generating advance care plans. Background Technology

[0002] Both electronic medical record systems and palliative care information systems can record basic patient information. However, these systems only focus on managing patient information in a single area and fail to integrate patients' medical wishes and decision-making processes with the dynamic changes in their condition. This results in the inability to adjust patient care plans in real time. Furthermore, it can lead to situations where healthcare professionals may not be able to communicate effectively and comprehensively with patients and their families during end-of-life decision-making, affecting the quality and timeliness of care plans. Summary of the Invention

[0003] The purpose of this application is to at least solve one of the technical problems existing in the prior art, and to provide a method, device, electronic device and storage medium for generating advance care plans. The aim is to improve the quality and timeliness of care plans by integrating information from different systems, taking into account the dynamic changes in the user's condition when determining advance care plans, and providing medical staff with systematic and standardized guidance.

[0004] In a first aspect, embodiments of this application provide a method for generating advance medical care plans, including: In response to triggering an advance care plan assessment, the system obtains information on changes in the user's medical records and generates user communication documents and corresponding visualized user communication guidance information based on the information on changes in the user's medical records. In response to the completion of the user communication document, an advance medical care plan is generated based on the user communication document.

[0005] According to the technical solution of the embodiments of this application, at least the following beneficial effects are achieved: When conducting advance medical care plan assessment, user medical record change information can be obtained first. User medical record change information represents the changes in the user's condition. Therefore, by analyzing the user medical record change information, targeted user communication guidance information can be generated. Medical staff can provide systematic and standardized guidance through the user communication guidance information, thereby combining the patient's wishes and the details of the changes in the condition to fill in the user communication documents, improving the quality and timeliness of the care plan.

[0006] According to some embodiments of this application, the step of generating user communication documents and corresponding visualized user communication guidance information based on the user's medical record change information includes: Based on the changes in the user's medical records, the current guidance information is adjusted, and based on the adjusted current guidance information, user communication documents and corresponding visualized user communication guidance information are generated.

[0007] According to some embodiments of this application, the step of generating user communication documents and corresponding visualized user communication guidance information based on the adjusted current guidance information includes: Based on the adjusted current guidance information, visualized user communication guidance information is generated, and user communication documents are generated based on the user communication guidance information. The user medical record change information includes at least one user medical record change, and the user communication guidance information includes multiple user communication guidance options corresponding to each user medical record change.

[0008] According to some embodiments of this application, the generation method further includes: The pre-established medical care plan is adjusted based on real-time monitoring of the user's medical records.

[0009] According to some embodiments of this application, the generation method further includes: In response to triggering advance care plan user identification, a first advance care plan user identification option is generated based on the user's medical record change information. In response to the first identification result corresponding to the first advance care plan user identification option, the advance care plan assessment is triggered.

[0010] According to some embodiments of this application, the generation method further includes: In response to a second identification result corresponding to the first advance care plan user identification option, a second advance care plan user identification option is generated. In response to a third identification result corresponding to the second advance care plan user identification option, the next advance care plan assessment time is determined.

[0011] According to some embodiments of this application, the generation method further includes: The advance care plan assessment is triggered in response to a fourth identification result corresponding to the second advance care plan user identification option.

[0012] Secondly, embodiments of this application provide an operation control device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the generation method described in the first aspect above.

[0013] Thirdly, embodiments of this application provide an electronic device including the operation control device described in the second aspect above.

[0014] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which are used to cause a computer to perform the generation method as described in the first aspect above.

[0015] Other features and advantages of this application will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the description, claims and drawings. Attached Figure Description

[0016] The accompanying drawings are used to provide a further understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0017] The present application will be further described below with reference to the accompanying drawings and embodiments; Figure 1 This is a flowchart of a generation method provided in one embodiment of this application; Figure 2 This is a flowchart of a generation method provided in another embodiment of this application; Figure 3 This is a flowchart of a generation method provided in another embodiment of this application; Figure 4 This is a flowchart of a generation method provided in another embodiment of this application; Figure 5 This is a flowchart of a generation method provided in another embodiment of this application; Figure 6 This is a flowchart of a generation method provided in another embodiment of this application; Figure 7 This is a flowchart of a generation method provided in another embodiment of this application; Figure 8 This is a schematic diagram of an operation control device for performing a generation method according to an embodiment of this application. Detailed Implementation

[0018] This section will describe in detail the specific embodiments of this application. Preferred embodiments of this application are shown in the accompanying drawings. The purpose of the drawings is to supplement the textual description with graphics, so that people can intuitively and vividly understand each technical feature and the overall technical solution of this application, but they should not be construed as limiting the scope of protection of this application.

[0019] In the description of this application, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0020] In the description of this application, "several" means one or more, "more than" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0021] In the description of this application, unless otherwise expressly defined, terms such as "setup," "installation," and "connection" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this application in conjunction with the specific content of the technical solution.

[0022] The various embodiments of the advance medical care plan generation method of this application will be further described below with reference to the accompanying drawings.

[0023] like Figure 1 As shown, Figure 1 This is a flowchart of a generation method provided in one embodiment of this application. The generation method may include, but is not limited to, steps S110 and S120.

[0024] Step S110: In response to triggering the advance care plan assessment, obtain user medical record change information, and generate user communication documents and corresponding visualized user communication guidance information based on the user medical record change information; Step S120: In response to the completion of the user communication document, generate an advance medical care plan based on the user communication document.

[0025] Understandably, responding to pre-set instructions within the system or manually initiated by healthcare professionals to trigger advance care planning assessments initiates an automated, comprehensive processing flow centered on the dynamics of the patient's condition. This triggering mechanism is a multi-factor driven decision-making node, based on the interpretation of the patient's medical data throughout their entire lifecycle. Triggering conditions can include planned triggers based on time cycles; for example, following palliative care guidelines, the system can automatically prompt healthcare professionals to initiate an assessment at specific time points after patient admission or at fixed clinical follow-up cycles. It can also include conditional triggers based on real-time dynamic changes in the patient's electronic medical record data. When the system, through its integrated data monitoring module, identifies a significant deterioration trend in the patient's key physiological indicators that aligns with pre-set medical logic—such as cardiopulmonary function, liver and kidney function, pain scores, and nutritional status—or when the diagnosis is updated to end-stage disease or new serious complications arise, it can immediately issue a high-priority alert to the supervising healthcare team, recommending and preparing to initiate an advance care planning assessment. In this way, the assessment is transformed from a static task into a dynamic and timely clinical intervention related to the patient's condition, ensuring that discussions and decisions regarding medical intentions are closely aligned with the patient's current and foreseeable future health status.

[0026] For example, after the trigger command is confirmed, the isolated data barriers within the electronic medical record system can be penetrated. Through a unified medical data interface layer, all of the user's historical medical records can be aggregated from various disparate subsystems, such as Laboratory Information System (LIS), Picture Archiving and Communication System (PACS), Clinical Order System (CPOE), and nursing record system. Medical record change information can include not only the specific numerical evolution of laboratory test results from normal to abnormal, dynamic descriptions of lesion size and characteristics in imaging reports, and records of medication regimen adjustments and their efficacy and adverse reactions, but also fluctuations in vital signs, the decline trajectory of various physiological function scores, and changes in the intensity and frequency of the patient's subjective symptoms. In this way, the system's built-in analysis engine processes the time-series medical data, and by applying medical statistical models and machine learning algorithms, identifies clinically significant patterns of change. For example, a progressive and irreversible trend of renal function failure, or a gradual increase in the difficulty of pain control, indicates that the disease has entered a more challenging stage. For example, a dynamic evolution analysis report of a patient's condition can be generated, outlining key turning points, deterioration stages, and the current stage of the disease in a visualized timeline format.

[0027] For example, after obtaining in-depth analysis of medical record changes, in generating user communication documents, a structured draft ACP communication document can be automatically generated based on the assessment of the current stage of the patient's condition. This draft ACP communication document has contextual relevance capabilities. For instance, when it is identified that the patient is in the end-stage of heart failure and responds poorly to diuretics, the latest summary of the patient's condition and prognosis based on this diagnosis can be automatically filled into the current condition and prognosis section of the document. In the treatment options and preferences section, decision options highly relevant to this stage can be pre-listed, such as whether to consider invasive mechanical ventilation, whether to perform cardiopulmonary resuscitation in case of cardiac arrest, and whether to prioritize hospitalization for worsening symptoms or provide palliative care at home as much as possible. In addition, each preset option in the document is logically linked to the aforementioned medical record changes. Healthcare professionals can intuitively show patients and their families that because recent test data shows a continuous decline in cardiac function and the current medications have limited effectiveness, it is necessary to discuss what medical measures to take in the event of an emergency such as extreme respiratory distress in the future. In this way, the completion of documents is not an abstract conceptual choice, but a record of a collaborative decision-making process based on specific medical conditions and evidence.

[0028] For example, in generating corresponding visualized user communication guidance information, visualization refers not only to the use of charts and graphs, but also to the structured presentation of complex communication strategies, medical knowledge, empathy skills, and rhetoric. User communication guidance information can include recommendations for the core objectives and key discussion points of the communication based on the stage of the illness. For example, for patients in the early stages of the disease, the focus might be on exploring values ​​and life goals; for patients in the later stages, the focus shifts to choosing specific medical interventions and controlling symptoms. It can also include a series of progressively challenging question scripts, such as guiding medical staff from open-ended questions to more specific situational multiple-choice questions. These questions are personalized and prioritized based on the patient's diagnosis, prognosis, cultural background, and the severity of their condition.

[0029] Furthermore, user communication guidance information can include visually illustrated, in the form of flowcharts or decision trees, how healthcare professionals should respond when a patient shows hesitation or a specific emotional reaction to an option. For example, if a family member expresses a reluctance to give up hope, the flowchart guides healthcare professionals to explain that palliative care and aggressive treatment are not contradictory, but rather shift the treatment goal from curing the disease to maximizing quality of life and symptom control, providing specific explanatory phrases and available supportive resources. Further, user communication guidance information can include short videos or animations to explain complex medical procedures to patients and their families, ensuring the accuracy and comprehensibility of information delivery. In this way, user communication guidance information can significantly improve communication efficiency and quality by standardizing communication processes to ensure no key information is missed, while simultaneously personalizing communication content to suit each patient's unique situation. This reduces the communication stress on healthcare professionals and ensures that patients and their families make medical decisions that best align with their values ​​and wishes, based on full information and with their emotions respected.

[0030] For example, in response to user communication documents, deep semantic analysis and key information extraction can be performed on locked user communication documents. These documents, as records of communication between patients and healthcare providers, include the patient's values, quality-of-life demands, specific preferences for particular medical interventions (e.g., refusal of CPR, preference for antibiotics only at the comfort level, or a clear desire for home-based care at the end of life), and designated medical decision-making agents and their contact information. Through natural language processing technology, elements in free text or checkboxes are accurately identified and structured, and then categorized and mapped onto a standardized framework for advance care planning.

[0031] After information extraction and structuring, a clinical logic integration engine can deeply bind patients' expressed wishes with specific, actionable medical scenarios. For example, if a communication document states that invasive mechanical ventilation should be refused when the disease reaches its terminal stage and there is no possibility of recovery, this wish can be associated with the terminal clinical diagnostic criteria defined in the electronic medical record, generating a clear and indispensable clinical order. Similarly, for a general wish to prioritize symptom control rather than prolonging life, it can be concretized into a set of positive palliative care orders. For example, the highest priority could be pain control (target pain score NRS ≤ 3), active management of dyspnea (using medication as planned), and priority treatment of symptoms such as nausea and vomiting. At the same time, the system can automatically limit or prompt caution in using certain aggressive treatments aimed solely at prolonging the dying process. This ensures that patients' wishes are translated into standardized language that healthcare professionals on the front lines can clearly understand, effectively avoiding misunderstandings or decision-making delays caused by ambiguous expressions of wishes.

[0032] Based on this, a comprehensive and personalized advance care plan is generated according to the user communication documents. This advance care plan may include several parts. For example, the first part is a summary of the patient's wishes, which concisely and prominently presents the patient's core medical choices and value statements, ensuring that any healthcare professional can grasp the key points during a quick review. The second part is specific medical instructions, which clearly lists the medical measures to be implemented or avoided in different clinical situations based on the aforementioned clinical logic, forming a decision matrix covering common emergency scenarios. The third part is a palliative care and quality of life support plan, which details the management goals and principles for common symptoms such as pain, shortness of breath, agitation, and delirium, and may include records of personalized needs such as psychological support, spiritual care, and dietary preferences. The fourth part is management and implementation information, which clearly lists the legal authority and contact process of the medical decision-making agent, the signing, effective date, and review plan of documents, as well as guidelines for sharing and accessing them within the healthcare system.

[0033] Furthermore, advance care plans can be seamlessly integrated into a patient's dynamic electronic medical record, making them an integral part of the patient's medical history. These plans can be marked on the front-end interface of the medical record system to ensure easy access at any clinical decision point. Simultaneously, a series of subsequent workflows can be automatically triggered, such as sharing the plan document with authorized departments within the hospital and affiliated community healthcare institutions; generating a printable, easy-to-use version for patients and their families to keep; and automatically setting a review reminder, for example, prompting the healthcare team to reassess whether the plan still aligns with the patient's current condition and wishes after six months or when the patient's condition undergoes a significant change.

[0034] like Figure 2 As shown, Figure 2 This is a flowchart of a generation method provided in another embodiment of this application; regarding the above step S110, it may include, but is not limited to, step S210.

[0035] Step S210: Adjust the current guidance information according to the changes in the user's medical record, and generate user communication documents and corresponding visualized user communication guidance information based on the adjusted current guidance information.

[0036] It is understandable that the current guidance information refers to the guidance information initially set for this assessment cycle, generated based on the patient's basic diagnosis, historical preferences, or general clinical pathways, but without incorporating the latest changes in the user's medical records. Therefore, it is necessary to reconstruct the static current guidance information through data-driven recontextualization and to evolve it based on clinical reasoning. For example, the internally generated dynamic evolution analysis report of the patient's condition can be compared and compared with each module in the current guidance information. For instance, if the initial guidance information focuses on discussing long-term disease management goals, but the latest medical record changes show that the patient has shown signs of multiple organ failure, the adjustment logic can be activated to shift the focus of communication from long-term to end-stage symptom control and the development of emergency plans, raising the priority of communication regarding emergency situation management and placing it at the forefront of the guidance information. At the same time, based on deteriorating physiological indicators, more concrete and urgent medical scenario options can be pre-filled into the guidance information for discussion, such as whether to choose non-invasive ventilator-assisted ventilation or only use drugs to relieve the feeling of suffocation when spontaneous breathing cannot be maintained, and whether to agree to maintain nutrition through nasogastric tube or intravenous infusion when the patient enters a persistent coma. In addition, it is possible to link with drug databases and use the drugs that patients are currently using but which are not effective or have significant side effects as a starting point for communication, guiding medical staff to discuss their willingness to adjust medications and balance symptoms.

[0037] like Figure 3 As shown, Figure 3 This is a flowchart of a generation method provided in another embodiment of this application; regarding the above step S210, it may include, but is not limited to, step S310.

[0038] Step S310: Generate visualized user communication guidance information based on the adjusted current guidance information, and generate user communication documents based on the user communication guidance information. The user medical record change information includes at least one user medical record change, and the user communication guidance information includes multiple user communication guidance options corresponding to each type of user medical record change.

[0039] Understandably, after adjusting the current guidance information, visualized user communication guidance information and user communication documents can be generated in conjunction with the adjusted guidance information. The visualized user communication guidance information presents complex clinical decision-making paths, communication strategies, and potential options through visual elements. The underlying logic strictly includes user medical record change information, including at least one user medical record change, and user communication guidance information, including multiple user communication guidance options corresponding to each user medical record change. In other words, each clinically significant user medical record change can be processed one by one. For example, if two key changes are identified, including progressive liver failure and newly developed malignant pleural effusion leading to moderate dyspnea, for the first change, multiple corresponding user communication guidance options can be retrieved from the knowledge base and dynamically assembled to form a structured communication matrix. For example, Option A (Etiology and Prognosis Communication): guides healthcare professionals on how to explain the meaning of deteriorating liver function and its impact on survival expectations to patients and their families in a gentle but honest manner, and provides a visual prognostic timeline diagram; Option B (Focusing on Treatment Decisions): provides options for coping with complications related to end-stage liver disease, specifically including whether to agree to endoscopic hemostasis when severe hematemesis occurs, and whether to accept necessary sedation treatment if agitated delirium that is difficult to control with sedatives occurs; Option C (Focusing on Palliative Care): highlights guidance on controlling specific symptoms of end-stage liver disease, such as nursing plans for jaundice and pruritus, dietary and medication adjustment suggestions for abdominal distension, and generates corresponding communication scripts.

[0040] Similarly, the communication matrix for the second type of change, malignant pleural effusion leading to dyspnea, can include: Option A (Will to Intervene in Urgent Matters): Guiding communication on whether to adopt regular drainage to relieve symptoms for recurrent pleural effusions, or to only treat them when symptoms become unbearable, and what the next step is if dyspnea does not improve after drainage; Option B (Association of Function and Quality of Life): Providing a communication framework that associates dyspnea with a decline in daily living abilities, guiding patients to think about what is most important to them in the face of functional limitations; Option C (End-of-Life Scenario Prediction): Generating communication guidelines on whether the preferred treatment environment is in the hospital or at home if dyspnea continues to worsen despite maximal drug treatment, and providing links to relevant palliative care resources.

[0041] In this way, the multi-option communication guidance for different medical record changes is integrated into a unified, interactive, and personalized communication navigation interface, which is the final visual user communication guidance information presented to medical staff.

[0042] like Figure 4 As shown, Figure 4This is a flowchart of a generation method provided in another embodiment of this application; the above generation method may also include, but is not limited to, step S130.

[0043] Step S130: Adjust the advance medical care plan based on real-time monitoring of the user's medical records.

[0044] Understandably, real-time monitoring of a patient's electronic medical record (EMR) can be a continuous data stream listener based on pre-defined clinical logic and machine learning models. The system continuously tracks information from diverse data sources, including laboratory information systems, image archiving and communication systems, nursing records, and vital sign monitoring devices, through data interfaces. It also monitors changes in signals significant for clinical decision-making, such as a persistently declining trend in blood oxygen saturation, progressive deterioration of glomerular filtration rate, a stable high pain score, radiographic evidence of ineffectiveness with a new round of chemotherapy, and a significant increase in admission frequency. When changes in these data points trigger pre-defined medical logic thresholds, a critical medical record change event is automatically identified. This prompts an adjustment to the advance medical care plan (ACP) assessment and an alert indicating a change in the patient's clinical condition, suggesting that the original ACP may no longer be applicable and recommending an immediate reassessment.

[0045] like Figure 5 As shown, Figure 5 This is a flowchart of a generation method provided in another embodiment of this application; the above generation method may also include, but is not limited to, step S140.

[0046] Step S140: In response to triggering advance care planning user identification, generate a first advance care planning user identification option based on user medical record change information, and trigger advance care planning assessment in response to the first identification result corresponding to the first advance care planning user identification option.

[0047] Understandably, in response to triggering advance care planning user identification, a first advance care planning user identification option is generated based on changes in the user's medical record. In response to the first identification result corresponding to the first advance care planning user identification option, an advance care planning assessment is triggered. Here, triggering advance care planning user identification means initiating the identification process to determine whether the current user is suitable for an advance care planning plan; the first advance care planning user identification option refers to multiple options obtained by healthcare professionals asking questions of the user to determine suitability for the advance care planning plan based on the user's answers; and the first identification result refers to the result of determining suitability for the advance care planning plan based on the first advance care planning user identification option.

[0048] Understandably, the initial step in the entire process of managing advance care planning is identifying which patient needs to be communicated with and when. Here, the trigger for initiating advance care planning user identification can be a multimodal activation signal, either system-driven or initiated by healthcare professionals. System triggering relies on real-time scanning of all patients' electronic medical records and the judgment of a rule engine. When the system automatically identifies a potential candidate based on preset clinical criteria—for example, a diagnosis of a specific advanced disease such as stage IV cancer, advanced heart failure or COPD, age combined with specific complications, an abnormally high frequency of hospitalizations, or a deterioration of specific indicators indicating poor prognosis—it sends a notification to the healthcare professional's workstation, marking the start of the advance care planning user identification process. Simultaneously, healthcare professionals are also allowed to manually initiate this identification process based on their clinical experience when facing any patient they deem potentially beneficial, ensuring the flexibility of the mechanism.

[0049] For example, based on changes in a user's medical record, a first advance care planning user identification option is generated. This change in the user's medical record can be an analysis of the patient's recent disease trajectory by the system. For instance, patient Zhang San, diagnosed with advanced pancreatic cancer, has experienced a continuous deterioration in liver function indicators and a weight loss of more than 10% over the past two months, and has responded poorly to first-line chemotherapy. Based on this specific and dynamic disease information, a structured first advance care planning user identification option is generated by invoking its built-in clinical decision support rules. Here, the first advance care planning user identification option is a standardized screening tool for healthcare professionals, used to objectively assess a patient's suitability for an advance care planning plan through systematic questioning. For example, the first advance care plan user identification options may include option A (Disease Awareness): Based on your understanding of the patient's condition, does the patient clearly recognize the severity of their illness and its possible future development? Option B (Future Considerations): In recent communications, has the patient expressed concerns about the future, or proactively inquired about treatment options, end-of-life care locations, or related issues? Option C (Decision-Making Intentions): When faced with treatment choices, does the patient show a clear personal preference, or do they prefer to leave the decision entirely to family members or doctors? Option D (Emotional Readiness): Does the patient show signs of being willing to discuss serious topics, rather than exhibiting strong avoidance or denial?

[0050] After healthcare professionals conduct initial communication with patients based on the generated options and record feedback, they summarize and analyze the feedback. The first identification result can be when most of the feedback is positive, such as the patient being aware of their condition, having concerns about the future and being willing to discuss it, and wanting to express their personal wishes. In this case, the patient is determined to be a suitable user for advance care planning.

[0051] like Figure 6 As shown, Figure 6 This is a flowchart of a generation method provided in another embodiment of this application; the above generation method may also include, but is not limited to, step S150.

[0052] Step S150: In response to the second identification result corresponding to the first advance care plan user identification option, generate a second advance care plan user identification option; in response to the third identification result corresponding to the second advance care plan user identification option, determine the next advance care plan assessment time.

[0053] Understandably, in response to the second identification result corresponding to the first advance care plan user identification option, a second advance care plan user identification option is generated; and in response to the third identification result corresponding to the second advance care plan user identification option, the next advance care plan assessment time is determined. Here, the second identification result refers to the result that the user's suitability for an advance care plan cannot be determined through the first advance care plan user identification option; the second advance care plan user identification option refers to multiple options generated based on the first advance care plan user identification option, which are generated by healthcare professionals asking questions of the user to further determine the user's suitability for an advance care plan based on the user's answers; the third identification result refers to the result that the user is determined to be unsuitable for an advance care plan based on the second advance care plan user identification option.

[0054] Understandably, the second identification result is a decision-making signal, indicating that after using the first set of identification options, healthcare professionals are unable to clearly determine whether the patient is suitable for immediate advance care planning based on the patient's feedback. For example, the patient may have a vague understanding of their condition, show significant emotional ambivalence, or indicate that they need more time to think but have not completely closed the door to communication. Therefore, the second identification result indicates that the initial screening has encountered uncertainty and requires more in-depth investigation rather than direct abandonment.

[0055] Therefore, in response to the second identification result, a second advance care plan user identification option is generated. This second option is a refinement and contextualized reconstruction based on the first option. The generation logic of the second option closely depends on the specific reasons leading to uncertainty in the first round. The patient responses recorded by healthcare professionals in the first round can be analyzed to identify ambiguous or contradictory areas, and more targeted new questions can be assembled accordingly. For example, if the feedback on disease cognition in the first round is ambiguous, the second round might focus on more specific and easier-to-answer questions to indirectly assess cognition. For instance, option A (treatment experience assessment): What are your thoughts on the effectiveness and feelings of your current treatment? Do you feel they are helping you achieve your desired goals? Option B (information need assessment): Would you find it helpful to schedule a time specifically to explain your current disease status and all possible future treatment options? Option C (family role clarification): On important matters concerning your health, would you prefer to make decisions independently or discuss them with your family?

[0056] Subsequently, in response to the third identification result corresponding to the second advance care planning user identification option, the next advance care planning assessment time is determined. The third identification result is a clear negative conclusion, meaning that based on the second round of more in-depth investigation, healthcare professionals, considering all feedback, determine that the patient is indeed not suitable for immediate formal advance care planning. The system at this point does not simply record the unsuitability and forget the patient; instead, it proactively determines the next advance care planning assessment time. Here, the next advance care planning assessment time can be set by comprehensively considering the patient's disease trajectory, the patient's condition observed during this identification, and the routine clinical follow-up cycle. A future task reminder is automatically generated in the patient's electronic medical record, and all key information collected during this identification process is included as notes to provide context for the next attempt.

[0057] like Figure 7 As shown, Figure 7 This is a flowchart of a generation method provided in another embodiment of this application; the above generation method may also include, but is not limited to, step S160.

[0058] Step S160: In response to the fourth identification result of the corresponding second advance care plan user identification option, trigger advance care plan assessment.

[0059] Understandably, the advance care planning assessment is triggered in response to the fourth identification result of the corresponding second advance care planning user identification option. Here, the fourth identification result refers to the healthcare professional's determination, based on the patient's specific feedback, that the user is ready to immediately begin a formal advance care planning process after a more targeted second advance care planning user identification option has been used to engage in in-depth communication with the patient. In other words, although the patient may have shown hesitation or confusion during the initial contact, the patient's openness was fostered through gentle guidance and meticulous exploration by the healthcare professional using the second advance care planning user identification option. For example, the second advance care planning user identification option might revolve around the patient's treatment goals, personal definition of quality of life, or preferred role in family decision-making. When the patient's responses to these questions demonstrate clear self-awareness and acceptance of discussions about future healthcare—for example, the patient might explicitly state that they want to understand all options and ultimately make their own decision, or that they don't want to struggle painfully at the end but hope to be as awake as possible to accompany their family—these positive signals are recorded in the system by the healthcare professional to determine the fourth identification result.

[0060] Based on the generation methods of the above embodiments, the following presents various embodiments of the operation control device, electronic device, and computer-readable storage medium of this application.

[0061] like Figure 8 As shown, Figure 8 This is a schematic diagram of an operation control device for executing a generation method according to an embodiment of this application. The operation control device 800 implemented in this application includes: a processor 820, a memory 810, and a computer program stored in the memory 810 and executable on the processor 820, wherein... Figure 8 The example uses a processor 820 and a memory 810.

[0062] The processor 820 and the memory 810 can be connected via a bus or other means. Figure 8 Taking the example of a connection between China and Israel via a bus.

[0063] Memory 810, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory 810 may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 810 may optionally include remotely located memories 810 relative to processor 820, which can be connected to the operation control device 800 via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0064] Those skilled in the art will understand that Figure 8 The device structure shown does not constitute a limitation on the operation control device 800, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0065] exist Figure 8 In the illustrated operation control device 800, the processor 820 can be used to call the control program stored in the memory 810, thereby implementing the above-described generation method. Specifically, the non-transitory software program and instructions required to implement the generation method of the above embodiment are stored in the memory 810, and when executed by the processor 820, the generation method of the above embodiment is executed.

[0066] It is worth noting that since the operation control device 800 of this application embodiment can execute the generation method of any of the above embodiments, the specific implementation method and technical effect of the operation control device 800 of this application embodiment can refer to the specific implementation method and technical effect of the generation method of any of the above embodiments.

[0067] Furthermore, one embodiment of this application also provides an electronic device that includes the operation control device described in the above embodiment.

[0068] It is worth noting that, since the electronic device of this application embodiment includes the operation control device of the above embodiments, and the operation control device of the above embodiments can execute the generation method of any of the above embodiments, the specific implementation method and technical effect of the electronic device of this application embodiment can refer to the specific implementation method and technical effect of the generation method of any of the above embodiments.

[0069] Furthermore, one embodiment of this application provides a computer-readable storage medium storing computer-executable instructions for performing the above-described generation method. Exemplarily, the above-described method is executed... Figures 1 to 7 The methods and steps in the text.

[0070] It is worth noting that, since the computer-readable storage medium of this application embodiment can execute the generation method of any of the above embodiments, the specific implementation and technical effects of the computer-readable storage medium of this application embodiment can be referred to the specific implementation and technical effects of the generation method of any of the above embodiments.

[0071] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which may include computer storage media or non-transitory media and communication media or transient media. As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information such as computer-readable instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc DVD or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0072] In the several embodiments provided in this application, it should be understood that the disclosed systems, instruments, and methods can be implemented in other ways. For example, the instrument embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the shown or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between instruments or units may be electrical, mechanical, or other forms. Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, i.e., they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0073] It should also be understood that the various implementation methods provided in this application can be combined arbitrarily to achieve different technical effects.

[0074] The embodiments of this application have been described in detail above with reference to the accompanying drawings. However, this application is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of this application.

Claims

1. A method for generating advance medical care plans, characterized in that, The method comprises: in response to triggering a pre-established medical care plan evaluation, obtaining user medical record change information, and generating user communication documents and corresponding visualized user communication guidance information according to the user medical record change information; in response to completion of the user communication documents, generating a pre-established medical care plan according to the user communication documents.

2. The generation method of claim 1, wherein, The generating of the user communication documents and the corresponding visualized user communication guidance information according to the user medical record change information comprises: adjusting current guidance information according to the user medical record change information, and generating user communication documents and corresponding visualized user communication guidance information according to the adjusted current guidance information.

3. The generation method of claim 2, wherein, The generating of the user communication documents and the corresponding visualized user communication guidance information according to the adjusted current guidance information comprises: generating visualized user communication guidance information according to the adjusted current guidance information, and generating user communication documents according to the user communication guidance information, wherein the user medical record change information comprises at least one user medical record change, and the user communication guidance information comprises a plurality of user communication guidance options corresponding to each user medical record change.

4. The generation method of claim 1, wherein, The method further comprises: adjusting the pre-established medical care plan based on real-time monitoring of the user medical record.

5. The generation method of claim 1, wherein, The method further comprises: in response to triggering a pre-established medical care plan user identification, generating a first pre-established medical care plan user identification option according to the user medical record change information, and triggering the pre-established medical care plan evaluation in response to a first identification result corresponding to the first pre-established medical care plan user identification option.

6. The generation method of claim 5, wherein, The method further comprises: generating a second pre-established medical care plan user identification option in response to a second identification result corresponding to the first pre-established medical care plan user identification option, and determining a next pre-established medical care plan evaluation time in response to a third identification result corresponding to the second pre-established medical care plan user identification option.

7. The generation method of claim 6, wherein, The method further comprises: triggering the pre-established medical care plan evaluation in response to a fourth identification result corresponding to the second pre-established medical care plan user identification option.

8. A running control device characterized by comprising: The computer readable storage medium stores computer executable instructions for causing a computer to execute the method of any one of claims 1 to 7.

9. An electronic device, comprising: The operation control device of claim 8.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer executable instructions for causing a computer to execute the method of any one of claims 1 to 7.

Images