15 results about "Physician attending" patented technology

The invention discloses a coronary intervention postoperative risk prediction model construction method and system, and belongs to the technical field of medical care information and health monitoring. A coronary intervention postoperative risk prediction model construction method comprises the steps of constructing an attending doctor experience scoring system and a nursing personnel ability scoring system, and performing weighted fusion on results of a doctor experience model and a nursing personnel model to form a final additional model for output. According to the coronary intervention postoperative risk prediction model construction method and system provided by the invention, the main model is combined with the additional model, the main model is comprehensively modeled through the regression model and the time sequence model based on the static and dynamic characteristic data of the patient, and the individual health state change of the patient is captured; the additional model evaluates the influence of medical teams and relatives on the postoperative risk by quantifying the experience of doctors and the ability of caregivers, and overcomes the defect that a traditional model only depends on patient data.

The invention discloses an automatic diagnosis algorithm for interpretability-oriented adaptive multi-agent cooperation. The method comprises the following steps: firstly, constructing a bidirectional probability network of symptoms and diseases based on a data set, calculating a disease weight through a pre-diagnosis module, and deciding to enter a Doctor Agent module or a Med-Team Agent module; the Doctor Agent simulates single expert diagnosis and judges whether a patient can be diagnosed or not or continues to inquire related symptoms to assist diagnosis in combination with a medical knowledge base and a bidirectional probability network. The Med-Team Agent is used for simulating consultation of multiple experts, and comprises a Manager Agent and a plurality of Disease Agents which respectively represent an attending physician and a plurality of disease experts. And the Manager Agent dynamically manages a plurality of Disease Agents, selects an appropriate expert to generate related symptoms according to the symptom information of the patient, and finally completes diagnosis. The method is suitable for medical automatic diagnosis tasks, through combination of multi-agent cooperation and bidirectional probability network prompting, the interpretability of diagnosis is improved, and efficient inquiry and accurate diagnosis are achieved.

Fluctuations in game scores acquired by the care recipient are notified to a data terminal operated by the family or the attending physician, and the family and the attending physician share the care recipient's symptoms with the care recipient, and also share the information with a care supporter at the facility, thereby smoothly providing the best possible life support. [Solution] In a monitoring system that supports the monitoring of care recipients, a first server device 4 manages the history of scores obtained in an intellectual game application installed on a first data terminal 10-1 or the like operated by the care recipient at a care facility 100, and works in conjunction with a second data terminal 2-1 or the like operated by the caregiver to dynamically grasp the state of decline in the cognitive function of the care recipient, create a program to improve the symptoms of the care recipient, and support a service that provides thorough monitoring of the care recipient.

The invention relates to the technical field of home rehabilitation nursing, and discloses an intelligent home nursing management method based on intelligent medical treatment, which comprises the following steps: acquiring related illness state and physiological data of a patient, automatically generating a rehabilitation model, judging the rehabilitation process of the patient, and when the rehabilitation process is far away from the estimated data, performing early warning and adjustment by a system in time. According to the door-to-door nursing intelligent management method based on intelligent medical treatment, the tolerance degree of a patient to pain is judged, rehabilitation recommendation is intelligently performed, a single-day change curve is generated according to heart rate changes of the patient under different rehabilitation items and drug treatment, the rehabilitation process of the patient is judged, and when the rehabilitation process of the patient is greatly different from an estimated model, the patient is reminded to go to the patient. The system can timely prompt an attending physician of the patient to adjust rehabilitation items, facilitates rehabilitation of the patient and work of nursing personnel, improves safety and effectiveness of rehabilitation of the patient, promotes development of personalized medical treatment, improves medical service quality, reduces unnecessary medical cost, and improves life quality of the patient.

The system notifies family members and the attending physician of changes in the game performance achieved by the person receiving care via a data terminal, allowing the family and the attending physician to share information about the person receiving care's condition, and also to share this information with care support staff at the facility, thereby facilitating the provision of the best possible care. [Solution] In a monitoring system that supports the monitoring of a person receiving care, the first server device 4 manages the history of scores obtained by an intelligent game application installed on a first data terminal 10-1 etc. operated by a person receiving care at a care facility 100, and works in conjunction with a second data terminal 2-1 etc. operated by a caregiver to dynamically grasp the state of cognitive decline of the person receiving care, and is characterized by a configuration that supports a service that provides thorough monitoring of the person receiving care by creating a program to improve the symptoms of the person receiving care.

The application discloses an automatic diagnosis algorithm for adaptive multi-agent cooperation for explainability. The application comprises the following steps: firstly, a two-way probability network of symptoms and diseases is constructed based on a data set, and a disease weight is calculated through a pre-diagnosis module to determine whether to enter a Doctor Agent module or a Med-Team Agents module. The Doctor Agent simulates single expert diagnosis, combines a medical knowledge base and the two-way probability network, and judges whether a patient can be definitely diagnosed or continue to ask related symptoms to assist in diagnosis. The Med-Team Agents simulate the consultation of multiple experts, including a Manager Agent and multiple Disease Agents, which respectively represent a chief physician and multiple disease experts. The Manager Agent dynamically manages multiple Disease Agents, selects appropriate experts according to the symptom information of the patient to generate related symptoms, and finally completes diagnosis. The application is suitable for medical automatic diagnosis tasks, combines multi-agent cooperation with two-way probability network prompts, improves the explainability of diagnosis, and realizes efficient inquiry and accurate diagnosis.

The invention relates to the technical field of cardiology, and provides a recovery device for postoperative care of cardiology, comprising: a monitoring module for collecting physiological parameters of a patient in real time; the control module is in bidirectional connection with the monitoring module through a data bus and is used for receiving and analyzing the physiological parameters and generating a control instruction; the execution module is in one-way connection with the control module through an instruction transmission interface and is used for receiving the control instruction and executing rehabilitation assisting operation; and the alarm module is connected with the control module through an interrupt signal line and is used for receiving the abnormal trigger signal and starting alarm. By synchronously collecting heart rate, blood pressure, blood oxygen, body temperature and environmental parameters, the abnormity identification accuracy is improved to 98.5%, the early warning response time is shortened to be less than 30 seconds, differential response is realized through a three-level alarm mechanism (local sound and light, a nurse station and an attending physician), the abnormal event processing efficiency is improved by 60%, and the safety of the system is improved. 5G remote consultation and cloud data storage (the daily storage amount of a single patient is less than or equal to 50MB) are supported.

The present invention relates to the technical field of home rehabilitation care, and discloses an intelligent management method for in-home care based on intelligent healthcare, including: obtaining relevant medical conditions and physiological data of patients, automatically generating a rehabilitation model, judging the rehabilitation progress of patients. When the rehabilitation progress is far from the estimated data, the system gives a timely warning and makes adjustments. This intelligent management method for in-home care based on intelligent healthcare judges the pain tolerance of patients, makes intelligent rehabilitation recommendations, generates a single-day change curve for the heart rate changes of patients under different rehabilitation programs and drug treatments, judges the rehabilitation progress of patients. When the rehabilitation progress of patients is quite different from the estimated model, it promptly prompts the attending physicians of patients to adjust the rehabilitation programs, facilitating the rehabilitation of patients and the work of nursing staff, improving the safety and effectiveness of patient rehabilitation, promoting the development of personalized medicine, improving the quality of medical services, reducing unnecessary medical costs, and enhancing the quality of life of patients.

The invention relates to the technical field of medical care training, and discloses a PTCD tube-carrying patient home care training method, which comprises the steps of obtaining illness state data and life data of a patient, generating and adjusting drainage liquid standard data, collecting actual drainage liquid data of the patient, comprehensively judging whether the drainage liquid of the patient is abnormal or not according to multiple judgment results, and if yes, judging whether the drainage liquid of the patient is abnormal or not. According to the PTCD tube-carrying patient home nursing training method, through multi-level data analysis and judgment, misjudgment is reduced, the accuracy of judgment on drainage liquid abnormity is improved, condition data and life data are combined, a personalized evaluation standard is provided for each patient, an algorithm is continuously optimized through the training result, and the training efficiency is improved. The reliability and accuracy of the system are improved, a scientific basis is provided for attending physicians, medical decision making is assisted, medical quality is improved, illness conditions and lifestyle factors are comprehensively considered, and the recovery condition of patients is comprehensively evaluated.

The application discloses a medical diagnosis intelligent agent system and method under privacy protection, and belongs to the cross field of artificial intelligence and medical health. In view of the problems that privacy protection and diagnosis utility are difficult to balance, and medical illusion is easy to occur in multi-agent consultation in the prior art, the application comprises the following steps: a hospital local end extracts electronic medical record bottom features and evaluates medical importance, and transmits the features to a cloud end after self-adaptive noise adding to fine-tune a multi-agent system; a patient local end carries out safe word replacement, generates a disguised prompt word, and uploads the prompt word to the cloud end; a cloud server uses a general practitioner intelligent agent for triage, and guides each specialist intelligent agent to carry out multi-round consultation by a attending physician intelligent agent, generates a disguised diagnosis report, and issues the report; and finally, a patient local end uses a semantic reconstruction model to restore and output a final diagnosis report. The application constructs a three-party collaborative closed loop, overcomes medical illusion and context fragmentation under the premise of protecting privacy, and significantly improves the accuracy and landing feasibility of the diagnosis system.

The utility model belongs to the technical field of nursing notice boards, and particularly relates to a notice board which comprises a sign board and a first transparent clamping groove, two first circular grooves are formed in one side of the sign board, a shielding cover plate is attached to one side of the sign board, two rotating carrying discs are arranged between the shielding cover plate and the sign board, and the two rotating carrying discs are arranged in the first circular grooves. Two second circular grooves are formed in one side of the shielding cover plate, and a plurality of photo placing areas are formed in the two rotary carrying discs; corresponding photos and name plate plates are placed for different attending doctors and responsible nurses through a plurality of photo placing areas, rapid switching is completed, and family members of patients and medical staff can know the attending doctors and the responsible nurses through the photos in combination with names on the name plate plates. Therefore, the problem that when a new accompanying person needs to communicate with the medical personnel, the corresponding person is difficult to accurately identify from the plurality of medical personnel only according to the name on the notice board is solved.

The present invention relates to the field of blockchain technology, and discloses a medical blockchain data storage method, including the following steps: the first step: importing medical information; importing medical information into a data storage system; the second step: classifying medical information; classifying medical information; dividing it into attending physician information, specialized hospital information, case analysis, disease classification, western medicine classification, and traditional Chinese medicine classification; the third step: detecting medical data; classifying it into appropriate categories; dividing it into different management systems according to different categories; and reviewing the data transmitted into it. The present invention can integrate medical resources by utilizing the system; can provide patients with higher medical resources; recommend appropriate medical environments and treating physicians; and can share real treatment experiences at the same time; can ensure the authenticity of data existence; can ensure the authenticity of internal information; improve the treatment effect of patients; and reserve better resources.

The invention discloses a management method and system for operating room storehouse consumables, relates to the field of operation consumable management, and solves the problem that in operating room storehouse consumable management, a dynamically matched management period and an inventory prediction mode are difficult to set according to consumable requirements; and an operation consumable consumption prediction mode taking an operation type and a doctor behavior mode as double references is difficult to set. According to the method, dynamic time periods are planned, feature consumable data of each dynamic time period is determined based on historical consumable data, standard consumable data of the next dynamic time period are determined, and a purchase list is set based on the standard consumable data of the next dynamic time period; determining a consumption factor of each attending doctor based on the operation consumption data, and determining intra-operation consumable data of the reserved operating room according to the consumption factors of the attending doctors; based on the intraoperative consumable data, the consumables are conveyed to the reserved operating room through a consumable vehicle; according to the invention, the accuracy and foresight of operating room storehouse consumable management can be improved.

The invention relates to the technical field of medical information, in particular to a prediction effectiveness optimization method based on DRG grouping, and the method comprises the steps: determining the personal diagnosis and treatment income of each mainly-treated person; evaluating the medical service capability of the major personnel according to the vocational ability model; constructing a comparison group; and in the comparison group, if the medical service capability of the analysis object is lower than that of the reference object, prompting to enhance the medical service capability of the analysis object. And if the medical service capability of the analysis object is higher than or equal to that of the reference object, prompting to enhance the medical management work of the medical institution. According to the method, the analysis efficiency of prediction effectiveness of DRG grouping can be effectively improved, meanwhile, a data system for transverse comparison and transverse reference is established, the degree of dependence on manpower is reduced, and application and popularization of DRG grouping and rapid follow-up of medical institutions at all levels are facilitated.