With the booming development of medical information technology and computer science, the medical services industry is gradually transiting from information technology to intelligence. The medical knowledge graph plays an important role in intelligent medical applications such as knowledge questions and answers and intelligent diagnosis, and is a key technology for promoting wise medical care and the basis for intelligent management of medical information. In order to fully exploit the great potential of knowledge graphs in the medical field, this paper focuses on five aspects: inter-drug relationship discovery, assisted diagnosis, personalized recommendation, decision support and intelligent prediction. The latest research progress on medical knowledge graphs is introduced, and relevant suggestions are made in light of the current challenges and problems faced by medical knowledge graphs to provide reference for promoting the wide application of medical knowledge graphs.
ObjectiveTo describe the status of epilepsy inpatients healthcare service in tertiary public hospitals in China by the data collected from the Hospital Quality Monitoring System.MethodsA population-based study was conducted with data of hospitalized patients collected from the Hospital Quality Monitoring System between 2015 and 2017. Diagnoses were identified by International Statistical Classification of Diseases and Related Health Problems 10th Revision codes for epilepsy (G40). The information of demographic characteristics, costs, payment methods, and discharge status were extracted and analyzed annually to make cross-sectional studies.ResultsA total of 329 241 hospitalized epilepsy patients from 585 tertiary public hospitals were identified. The average age of the patients was 31.74 and male patients accounted for 60.00% of the total. The proportion of patients covered by the national basic medical insurance in the three years was 50.15%, and that in the year 2015, 2016, and 2017 was 49.03%, 49.79%, and 51.80%, respectively; the proportion of patients with full self-payment was 30.40%. The average length of hospital stay was 6.65 d, the average cost for each stay was 7 985.53 yuan, the average self-payed cost for each stay was 3 979.62 yuan. In terms of the discharge way of the patients, 88.02% discharged following doctors’ advice, 0.40% were transferred to another hospital with doctors’ advice, and 6.59% discharged against doctors’ advice. The in-hospital mortality in the three years was 0.16%, and that in the year 2015, 2016, and 2017 was 0.19%, 0.16%, and 0.12%, respectively.ConclusionThe study shows that the in-hospital mortality rate of epilepsy inpatients in the tertiary public hospitals in China decreased gradually from 2015 to 2017, the coverage rate of national basic medical insurance increased year by year, and there is still room for further improvement.