MDP based inpatient premature discharge decision making in hierarchical medical system

2017 ◽  
Author(s):  
Yue Du ◽  
Na Li ◽  
Na Geng ◽  
Zhibin Jiang
Keyword(s):  
Decision Making ◽  
Medical System ◽  
Premature Discharge ◽  
Hierarchical Medical System

scholarly journals Factors affecting health care users’ first contact with primary health care facilities in north eastern China, 2008–2018

2021 ◽  
Vol 6 (2) ◽  
pp. e003907
Author(s):  
Ran Liao ◽  
Yaqian Liu ◽  
Shunzhuang Peng ◽  
Xing Lin Feng
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Eastern China ◽  
Medical System ◽  
Health Care Facilities ◽  
Factors Affecting ◽  
Primary Health ◽  
North Eastern ◽  
First Contact ◽  
Hierarchical Medical System

BackgroundChina set out the vision to establishing a hierarchical medical system, with primary health care (PHC) facilities serving health care users’ first contact. Common ailments were listed, supported by a series of auxiliary policy measures. We aim to assess whether these policies were effective to prompt users’ preference to PHCs within these contexts.MethodsUsing data from three waves of National Health Service Survey, we examined trends in care users’ first contact with PHC facilities in Jilin, a north eastern province, during 2008–2018. We analysed trends and factors affecting care users’ choices, stratified by type of diseases and urban–rural settings.ResultsFrom 38 823 respondents, the survey identified 3302 health care users who sought outpatient care. 54.92% and 82.49% with diseases recommended to PHC, in urban and rural Jilin, respectively, contacted PHC facilities first. While 33.51% and 61.19% with diseases not recommended to PHC did so. Care users’ first contact with PHC facilities followed an inverse U shape during 2008–2018. Such trends were more profound among care users with hypertension and/or diabetes. Neither social health insurance coverage nor contracting with family doctors was associated with care users’ first contacts. Only 1.25% care users had referral experiences. Low perceived quality was the main barrier to choose PHC facilities.ConclusionHealth care users sought PHC in a chaotic manner in Jilin. None of the recent efforts seemed effective in prompting their preference to PHC facilities. Without levering quality of PHC, an effective hierarchical medical system could be hardly forged in China.

scholarly journals A Study on the Public Awareness of Hierarchical Medical System in Taiwan

Health ◽  
2019 ◽  
Vol 11 (04) ◽  
pp. 361-370 ◽  
Author(s):  
Yu-Hua Yan ◽  
Chih-Ming Kung ◽  
Chen-Luan Lu
Keyword(s):  
Public Awareness ◽  
Medical System ◽  
The Public ◽  
Hierarchical Medical System

Look to Norway

1988 ◽  
Vol 4 (3) ◽  
pp. 359-374 ◽  
Author(s):  
Ann Rudinow Saetnan ◽  
Bjørn Backe ◽  
Arnulf Kolstad ◽  
Torarin Lamvik
Keyword(s):  
Health Care ◽  
Decision Making ◽  
National Health Service ◽  
Public Perceptions ◽  
Medical System ◽  
Political Debate ◽  
Advisory Groups ◽  
Consensus Conferences ◽  
Decision Making Processes ◽  
Local Levels

AbstractThe authors of the paper argue that Norway's national health service, despite public perceptions, is both inexpensive and technologically advanced. Norway has a highly regulated medical system at both the national and local levels, and many distribution issues take the form of political debate. As a result, the authors believe that medical care and equipment is equitably distributed, but perhaps over-densely, throughout the country. Although the overall picture is optimistic, there is some concern that technologies, health care priorities, and decision-making processes should be more carefully examined by consensus conferences, advisory groups, and experts in technology assessment.

scholarly journals Suggestions on Linkage Mechanism between Medical Insurance and Hierarchical Medical System in a Southern City of Anhui Province in China: Analysis on Disease Structure of New Rural Cooperative Medical System (NCMS) Inpatients

2019 ◽  
Author(s):  
Luo Meng ◽  
Ru Zhi Tang ◽  
li Li Wang ◽  
hua Shao Li
Keyword(s):  
Respiratory System ◽  
Medical Insurance ◽  
Medical System ◽  
Malignant Neoplasms ◽  
Linkage Mechanism ◽  
Genitourinary System ◽  
Medical Institutions ◽  
Non Local ◽  
Southern City ◽  
Hierarchical Medical System

Abstract Objective: The chief aim of this paper is to explore the characteristics of medical treatment for NCMS inpatients in the central district of the southern city, and identify the main problems, so as to give some suggestions on the promotion of linkage mechanism between medical insurance and hierarchical medical system in the southern city. Methods: Hospitalization person-times and expenses were analyzed using the medical insurance inpatients who have settled in the NCMS information management system in the central district of the sourthen city from 2013 to 2015. Results: Among pieces of data, there were identical 5 system diseases hospitalized both in local and non-local medical institutions from 2013 to 2015: respiratory system diseases, malignant neoplasms, digestive system diseases, genitourinary system diseases, and circulatory system diseases, which also ranked top 5. In the hospitalization ratio of the top 5 systemic diseases in 2015, the respiratory system accounted for the largest proportion of 95.65%, and malignant neoplasms inpatients occupied the largest proportion who hospitalized in non-local medical institutions(36.27%). The proportion of inpatients with genitourinary system diseases hospitalized in non-local medical institutions was higher(10.32%), and the cost was lower(21.44%), compared with that of inpatients with digestive system diseases and circulatory system diseases. We chose the 3 repesentive system diseases to analyze diseases structure: there were 4 diseases of respiratory system diseases, 7 diseases of malignant neoplasms, 3 diseases of genitourinary system diseases both hospitalized in local and non-local medical institutions.Conclusions: All the preliminary results threw light on some defects in the process of medical treatment, which was rationality of choice and direction of diagnosis and treatment. The problem may be caused by included inpatients' incorrect medical concepts, unstandardized diagnosis and treatment behaviours, imperfect medical insurance reimbursement policy, and no adequate capacity to treat difficult and miscellaneous diseases. Under the background of deepening medical reform, the city municipal government needs to further increase the publicity of medical reform and make decisions to adapt to the changes in policy environment, for the medical insurance linkage mechanism with hierarchical medical system.

scholarly journals An intelligent decision-making support system for the detection and staging of prostate cancer in developing countries

2020 ◽  
Author(s):  
Jun Zhang ◽  
Zhigang Chen ◽  
Jia Wu ◽  
Kanghuai Liu
Keyword(s):  
Prostate Cancer ◽  
Experimental Data ◽  
Decision Making ◽  
Developing Countries ◽  
Intelligent System ◽  
Medical System ◽  
Image Feature ◽  
Final Decision ◽  
Medical Systems ◽  
Cancer Data

Abstract Background Most developing countries face great problems in the medical, and the threat posed by large populations, scarce medical resources and inadequate medical personnel will affect the development and stability of the society. Therefore, for most developing countries, the development of intelligent medical systems can greatly alleviate the social contradictions arising from this problem. Intelligent Medical System is a system to assist doctors to make decisions. Through effective input, the system makes corresponding decisions and provides doctors with corresponding auxiliary diagnosis and relevant treatment plans. Methods The experimental team collected and compiled about 2,156,528 data items based on the hospitalization information of more than 8,000 prostate patients in three hospitals of Xiangya. The ratio of experimental data to test data was about 7: 3. Combining prostate cancer images and physical indicators to assist diagnosis and make decisions, from the extraction of corresponding image feature data to the final diagnosis decision, a new intelligent system for prostate cancer data decision-making based on Perceptron neural network is proposed. In the comprehensive decision-making, the final decision is made by using the rule-reasoning model. Through data collection, medical data analysis and integration, image processing and analysis, and disease detection and decision-making processes, patients are assisted in diagnosis and treatment to solve the problems and social contradictions facing most developing countries. Results Through the study of hospitalization information of more than 8,000 prostate patients in three hospitals, about 2,156,528 data items were collected and compiled for experiment purposes. Experimental data shows that when the patient base increases from 200 to 8,000, the accuracy of the machine-assisted diagnostic system will increase from 61% to 87%, and the doctor's diagnosis rate will be reduced to 81%. Conclusions From the study, it is concluded that when the patient base reaches a certain number, the diagnostic accuracy of the machine-assisted diagnosis system will exceed the doctor's expertise. So the smart medical system can help doctors and Medical experts make suggest more effective treatments.

Sign in / Sign up

Export Citation Format

Share Document