9 results about "One chronic disease" patented technology

The invention relates to the technical field of medical information management, in particular to a chronic disease patient home nursing remote management system which comprises a volatility analysis module, a symbol recognition module, a correlation analysis module, a task decoupling module and a nursing task generation module. According to the invention, by analyzing the fluctuation amplitude of the continuously collected physical sign data in the specific time window, the short-term sudden change trend which cannot be revealed by single-time manually reported data can be explored, and the data change direction is further symbolized to identify a continuous change mode with clinical significance; and the time overlapping degree of the continuous sudden change time periods of different physical sign data can be calculated, so that the synchronous association reaction among various physical sign indexes is accurately identified, the potential composite physiological risk is revealed, and the dependency decoupling and execution sequence reconstruction of the high-risk task are realized based on the quantitative evaluation of the task emergency degree and the delay degree.

Provided in the present invention is a general practitioner workstation, comprising a resident health profile creation module, a chronic disease screening module, a chronic disease assessment module and a chronic disease follow-up module, and further comprises an identity information recognition and input module, a health information input and update module, a population tagging module, an identity card reading / radio-frequency information recognition module, a medical insurance card / electronic medical insurance code recognition module, etc. The general practitioner workstation of the present invention can solve the problems, in chronic disease management, of a resident health profile creation procedure being cumbersome, a plurality of discrete devices being inconvenient to carry and making it difficult to summarize test results, the level of intelligence in chronic disease assessment being low, it being impossible to automatically generate a follow-up plan, and it being impossible to automatically adjust a management scheme on the basis of a follow-up result, thereby comprehensively improving the quality and efficiency of medical services, and providing more scientific, comprehensive and personalized medical services. Also provided in the present invention are a chronic disease management method and a corresponding product.

The application provides a follow-up method, device and equipment for a chronic disease patient, and relates to the technical field of data processing. The method comprises the following steps: acquiring a chronic disease type, current follow-up data, historical diagnosis and treatment data and historical follow-up data of the chronic disease patient; determining blank data in the current follow-up data according to the chronic disease type; wherein the blank data is follow-up data that is not obtained when the chronic disease patient is followed up; determining a risk probability of a chronic disease condition change of the chronic disease patient according to the chronic disease type, the current follow-up data, the blank data, the historical diagnosis and treatment data and the historical follow-up data; and determining a time of next follow-up of the chronic disease patient based on the chronic disease type, the risk probability and the blank data of the chronic disease patient. The application can acquire follow-up data of the chronic disease patient in time, master the recovery condition of the chronic disease patient and ensure the effectiveness of follow-up.

The application discloses a kind of chronic disease auxiliary drug curative effect evaluation and personalized recommendation method, comprising the following steps: step one: real world data acquisition, step two: data standardization and annotation, step three: curative effect evaluation model construction, step four: patient population stratification, step five: personalized drug recommendation, step six: data update and model iteration;The application is aimed at the clinical characteristics of three kinds of chronic diseases, liver disease, diabetes and hypertension, and constructs a multidimensional real world database and a targeted curative effect evaluation model, realizes the personalized and accurate recommendation of the auxiliary drug of the three kinds of chronic diseases, breaks through the limitation of single disease drug recommendation, effectively improves the clinical curative effect of auxiliary drug, reduces the risk of adverse drug reactions, and provides scientific support for the clinical rational use of drugs for the three kinds of chronic diseases.

The application discloses a chronic disease treatment cost prediction method, comprising the following steps: setting a data collection rule, acquiring multi-source chronic disease medical data based on the data collection rule, obtaining a standardized medical data set based on the multi-source chronic disease medical data, obtaining an optimized feature set based on expert opinions and the standardized medical data set, optimizing the feature set based on recursive feature elimination and regularization processing to obtain an optimal feature subset, obtaining a final data set based on the optimal feature subset, training a plurality of candidate models based on the final data set to obtain an optimal model set, and obtaining a chronic disease treatment cost prediction value based on the optimal model set. The application can accurately predict the chronic disease treatment cost, provide strong support for medical insurance cost control and medical decision-making, and has important practical value and social benefits.

This invention discloses a personalized nursing plan management system for patients with chronic diseases, relating to the fields of medical informatization and intelligent health management. The invention decomposes rhythms into time-varying phases and amplitudes and estimates them online, forming continuously updatable rhythm trajectories. This allows rhythm changes to be explicitly characterized as parametric trajectories, thereby reducing reliance on fixed steady-state assumptions. By judging unidirectional cumulative drift and cumulative decay within continuous monitoring periods and introducing uncertainty gating and graded state transitions, the warning is transformed from single-point triggering to evidence accumulation triggering, reducing misjudgments caused by noise, missing data, and uneven sampling, while retaining sensitivity to asymptotic distortion. Furthermore, through missing data marking, continuation strategies, and uncertainty propagation mechanisms, the system can maintain continuous output even when data is incomplete, and adopts a confirmation mode for low-confidence interval judgments to avoid triggering excessive intervention when evidence is insufficient.

The invention relates to the field of medical instruments, in particular to a chronic disease medication device which comprises a shell and a controller, a box cover is detachably connected to the top of the shell, a plurality of medicine bins used for storing different medicines are arranged in the shell in the circumferential direction, and each medicine bin is provided with a medicine outlet and an electronic tag used for identifying medicine information. The electronic tags are all in signal connection with the controller; a hollow shaft is arranged in the middle of the shell, the hollow shaft is coaxially and rotationally matched with a dosage bin, and a medicine inlet communicated with one of the medicine outlets is formed in the outer wall of the dosage bin; and an adjusting mechanism for adjusting the dosage is arranged in the dosage bin. And a rotating mechanism for rotating the dosage bin is arranged in the shell. The electronic tag is integrated on each medicine bin and is in signal connection with the controller, so that identification and management of medicine information are realized.

The invention provides a chronic disease index early warning notification method, system and device and a medium, and belongs to the technical field of medical information. The method comprises the following steps: configuring and dynamically updating normal value ranges of health index items of different chronic disease types and crowd classifications, and generating versioned rule configuration data; receiving health index data uploaded by a patient, and performing data cleaning and standardization processing based on verification rules to generate standardized index time sequence data; matching from the rule configuration data through a rule matching engine based on the patient file data and the versioned rule configuration data, and generating personalized range reference data; performing comparative analysis on the standardized index time sequence data and the personalized range reference data to generate anomaly recognition result data; and based on the abnormal identification result data, generating structured early warning information in combination with historical data of the patient, and sending the structured early warning information to an information terminal of a responsible doctor through a multi-channel distribution strategy. According to the invention, the accuracy and timeliness of the chronic disease medical service are obviously improved.

The invention discloses a matching method and system for precise conditioning of chronic diseases. The technical problems that an existing chronic disease conditioning scheme is poor in personalized adaptability, low in metabolism regulation precision and high in long-term drug dependence are solved. According to the method, target organ cell metabolism characteristics and whole body physiological indexes of a chronic disease patient are collected, a cell metabolism cooperation order quantification model is constructed, and a metabolism cooperation optimal matching threshold interval is determined; on the basis of the threshold value interval, a multi-dimensional cooperative conditioning scheme of diet intervention, targeted nutritional supplement and lifestyle regulation is matched for the patient, precise optimization of the metabolic order of target organ cells is achieved, the clinical symptoms of chronic diseases are improved, and drug use dependence is reduced. The conditioning method is high in accuracy and adaptability, can be implemented by relying on conventional medical detection equipment, and is suitable for large-scale popularization and application in the large health field.