11 results about "Problem list" patented technology

According to the physical examination item recommendation method, device and equipment based on the large language model and the computer readable storage medium, interactive physical examination questions and answers are performed with the target user according to the initial risk factors and the related question list corresponding to the candidate disease information list, the collection efficiency of the dynamic health information of the target user is improved, and the user experience is improved. And mining dynamic health information. In combination with dynamic health information, symptom information and health risk factors are further mined, and a disease information list of the target user is enriched, so that personalized physical examination item recommendation of the target user is realized. And the basic health information of the target user is combined with the dynamic health information, and the potential disease information of the target user is determined comprehensively, so that the physical examination item information more adaptive to the target user is obtained according to the comprehensive target disease information list, and the recommendation efficiency and recommendation accuracy of the physical examination item information are improved.

The invention provides a multidisciplinary diagnosis and treatment and science popularization method, system, device and product based on a language model.The multidisciplinary diagnosis and treatment and science popularization method based on the language model.The multidisciplinary diagnosis and treatment and science popularization method based on the language model.The multidisciplinary diagnosis and treatment and science popularization method based on the language model.The multidisciplinary diagnosis and treatment and science popularization method comprises the steps that based on a received illness state inquiry request from a user terminal, a preset illness state inquiry problem list of a multidisciplinary Generating medical history information based on the received illness state description information sent by the user terminal; according to the medical history information, obtaining a department corresponding to an illness state consulted by the user terminal; sending the medical history information to a diagnosis terminal corresponding to the department; generating comprehensive diagnosis and treatment information based on the received single-department diagnosis and treatment information sent by the diagnosis terminal; sending the comprehensive diagnosis and treatment information to the user terminal; and performing science popularization pushing to the user terminal based on the medical history information and the comprehensive diagnosis and treatment information. Doctor time management can be optimized, communication efficiency among doctors is improved, doctor-patient communication efficiency is enhanced, and patient participation degree is improved.

Systems and methods for maintaining an electronic health records system, including a server storing a medical records database. Requests for medical data for a patient in a master problem list are received from a user device, and appropriate list permissions are determined and granted for hierarchical derivative problem lists. Annotated data is received at the server from a user device based on annotations made to a derivative problem list, and problem lists are updated with the received annotated data in real time. The received annotated data is compared with current entries using natural language processing to detect duplicate entries, the duplicate entries are iteratively detected and removed from the master problem list, and non-duplicate entries are stored in authorized derivative problem lists based on the natural language processing and list update permissions for each of the derivative problem lists.

The invention relates to the technical field of log analysis, in particular to a problem list generation method and device, equipment and a medium, and the method comprises the steps: obtaining a test log of any test case in a test set; according to the pre-configured keyword and the pre-configured failure feature word, a test log of any test case in the test set is retrieved, fixed information of a first target test case is obtained, and the fixed information comprises a target keyword corresponding to the test failure feature word and a failure reason feature word; the target keyword is used for representing a test failure of the first target test case; determining a problem reason category of the first target test case according to the failure reason feature word; and according to the case information, the fixed information and the problem reason category of the first target test case in the test set, generating a problem list of the test set. According to the invention, the problem list of the test set can be automatically generated, the accuracy and integrity of the problem list are improved, and the efficiency and quality of testing and problem processing are also improved.

A system and method for enhancing electronic health record (EHR) systems through integration of proprietary and standardized medical terminologies. Embodiments proprietary terminology concepts from electronic sources and identifies matching standardized medical terminology concepts. A knowledge graph is generated, incorporating both proprietary and standardized concepts along with their relationships. The system receives patient data, including problem lists, medication lists, and lab results. This data is analyzed against the knowledge graph to generate suggestions for the EHR system. These suggestions are then provided to the EHR system for display, enhancing clinical decision support and improving patient care.

An information processing apparatus including a processor and a memory storing a search database where operation instruction data used to instruct the information processing apparatus to execute a specific operation is stored is disclosed. The processor receives, as an input, at least one of the medical history information, the information input by the patient, the disease name, the symptom name or the problem in the problem list, search the search database using the input and obtain, as the operation instruction data, operation instruction data corresponding to a word or a sentence included in the input, present, on a display, the obtained operation instruction data as at least one candidate to a healthcare professional and receive an approval input from the healthcare professional, and in response to receiving the approval input, output the operation instruction data to the information processing apparatus to execute the specific operation.

Systems and methods for creating and managing an electronic health records system are provided, including a server storing a medical records database. Requests for medical data for a patient in a master problem list are received from a user device, and appropriate list permissions are determined and granted for hierarchical derivative problem lists. Annotated data is received at the server from a user device based on annotations made to a derivative problem list, and problem lists are updated with the received annotated data in real time. The received annotated data is compared with current entries using natural language processing to detect duplicate entries, the duplicate entries are iteratively detected and removed from the master problem list, and non-duplicate entries are stored in authorized derivative problem lists based on the natural language processing and list update permissions for each of the derivative problem lists.

Systems and methods for maintaining an electronic health records system, including a server storing a medical records database. Requests for medical data for a patient in a master problem list are received from a user device, and appropriate list permissions are determined and granted for hierarchical derivative problem lists. Annotated data is received at the server from a user device based on annotations made to a derivative problem list, and problem lists are updated with the received annotated data in real time. The received annotated data is compared with current entries using natural language processing to detect duplicate entries, the duplicate entries are iteratively detected and removed from the master problem list, and non-duplicate entries are stored in authorized derivative problem lists based on the natural language processing and list update permissions for each of the derivative problem lists.

A computer-implemented method for identifying a problem list section from an electronic document includes receiving, by one or more processors, the electronic document, generating, by the one or more processors and based on applying an optical character recognition algorithm to the electronic document, unstructured text, and identifying, by the one or more processors, one or more problem list words in the unstructured text, the one or more problem list words belonging in a dataset for identifying a presence of a problem list section. The method also includes associating, by the one or more processors, a portion of the unstructured text that corresponds to the one or more problem list words in the unstructured text with the problem list section and outputting, by the one or more processors, at least a portion of the problem list section.

The invention relates to the technical field of large model application, and discloses an intelligent reputation value reduction evaluation system based on a large language model, and the system comprises a data obtaining module which is used for obtaining an evaluation material; the model auxiliary module is used for carrying out primary review and recalculation in sequence according to the evaluation material to obtain a to-be-evaluated financial index as a recalculation manuscript, and generating a problem list according to the recalculation manuscript; the report generation module is used for generating an evaluation report according to the question list; wherein during primary examination, the model auxiliary module is used for identifying the effectiveness of the evaluation material and screening out the evaluation material meeting a preset condition; during recalculation, the model auxiliary module is used for extracting the financial indexes and the positions of the financial indexes in the original text to obtain the recalculation manuscript; according to the method, the automation and the interpretability are improved based on the large model, and meanwhile, the accurate extraction of the evaluation indexes under the specific structured data is realized.

A method for developing codes and a cross functional set of rules that suggest to a physician, in real-time, potential diagnoses related to diagnostic results or other clinical data entered into the electronic Medical Record (EMR). The method generates a possible diagnosis for consideration and addition to the patient problem list. When the physician selects a suggested diagnosis, the problem list is automatically updated with the diagnosis. In view of the above, the physician has the needed information at the point of care so that the timeliness, safety and quality of care is improved. The generated documentation also assists other physicians throughout the continuum of care for the Patient. The method creates crosswalk from data element to diagnosis to enhance the completeness of documentation. As a result, the Diagnostic Related Group (DRG) is more accurately assigned by coders at discharge to drive more accurate and efficient billing for improved reimbursement and revenue.