Research on the Application of Health Information System in Community Residents Based on the Internet of Things

2014 ◽  
Vol 998-999 ◽  
pp. 1370-1373
Author(s):  
Hong Min Liu ◽  
Gui Ying Yang ◽  
Qiang Li
Keyword(s):  
Public Health ◽  
Information System ◽  
Internet Of Things ◽  
Health Information ◽  
Health Information System ◽  
The Internet ◽  
Large Numbers ◽  
Community Residents ◽  
Broad Public Health ◽  
The Internet Of Things

This article introduces the services and development of the Internet of Things, and analyzes the application of Health Information System in Community Residents Based on the Internet of Things. The Internet of things has particularly novel implications in the area of public health. This is due to (1) The rapid and widespread adoption of powerful contemporary Smartphone's; (2) The increasing availability and use of health and fitness sensors, wearable sensor patches, smart watches, wireless-enabled digital tattoos and ambient sensors; and (3) The nature of public health to implicitly involve connectivity with and the acquisition of data in relation to large numbers of individuals up to population scale. Of particular relevance in relation to the Internet of Things and public health is the need for privacy and anonymity of users. It should be noted that Internet of Things capabilities are not inconsistent with maintaining privacy, due to the focus of public health on aggregate data not individual data and broad public health interventions.

Application of VPN technique in the construction of public health information system

2005 ◽  
Vol 25 (5) ◽  
pp. 612-614
Author(s):  
Hu Xianming ◽  
Deng Yongzhi ◽  
Lu Zhuxun ◽  
Li Shukai ◽  
Wang Guoping ◽  
...  
Keyword(s):  
Public Health ◽  
Information System ◽  
Health Information ◽  
Health Information System ◽  
Public Health Information

scholarly journals Medical Device Integration Model Based on the Internet of Things

2015 ◽  
Vol 9 (1) ◽  
pp. 256-261 ◽  
Author(s):  
Aiyu Hao ◽  
Ling Wang
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Medical Device ◽  
Medical Devices ◽  
Medical Information ◽  
Medical Information System ◽  
The Internet ◽  
Model Based ◽  
Device Integration ◽  
The Internet Of Things

At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For some small hospitals of which information construction is still relatively weak, the information generated by the devices is still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again, they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the medical information system, because the data from medical devices lack mandatory unified global standards and have outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus causing medical devices to still be the "lonely island" of hospital information system. Besides, unfocused application of the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction in hospitals, medical information systems will be bound to develop toward mobile applications, intelligent analysis, and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology. To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification, this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection network of devices and conducts associate matching between the data and the inspection with the terminal device in a timely manner.

Quality of Routine Health Information System Data and Associated Factors Among Departments in Public Health Facilities of Harari Region, Ethiopia

2021 ◽  
Author(s):  
Adisu Tafari Shama ◽  
Hirbo Shore Roba ◽  
Admas Abera ◽  
Negga Baraki
Keyword(s):  
Public Health ◽  
Information System ◽  
Data Quality ◽  
Health Information ◽  
Health Information System ◽  
Health Facilities ◽  
Quality Data ◽  
Public Health Facilities ◽  
System Data

Abstract Background: Despite the improvements in the knowledge and understanding of the role of health information in the global health system, the quality of data generated by a routine health information system is still very poor in low and middle-income countries. There is a paucity of studies as to what determines data quality in health facilities in the study area. Therefore, this study was aimed to assess the quality of routine health information system data and associated factors in public health facilities of Harari region, Ethiopia.Methods: A cross-sectional study was conducted in all public health facilities in Harari region of Ethiopia. The department-level data were collected from respective department heads through document reviews, interviews, and observation check-lists. Descriptive statistics were used to data quality and multivariate logistic regression was run to identify factors influencing data quality. The level of significance was declared at P-value <0.05. Result: The study found a good quality data in 51.35% (95% CI, 44.6-58.1) of the departments in public health facilities in Harari Region. Departments found in the health centers were 2.5 times more likely to have good quality data as compared to departments found in the health posts. The presence of trained staffs able to fill reporting formats (AOR=2.474; 95%CI: 1.124-5.445) and provision of feedback (AOR=3.083; 95%CI: 1.549-6.135) were also significantly associated with data quality. Conclusion: The level of good data quality in the public health facilities was less than the expected national level. Training should be provided to increase the knowledge and skills of the health workers.

scholarly journals Southeastern Regional Health Information System: a mapping tool for public health actors

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
M Jardin ◽  
P Kurkdji ◽  
L Dagnet ◽  
G Tonnaire ◽  
S Nauleau ◽  
...  
Keyword(s):  
Public Health ◽  
Information System ◽  
Health Information ◽  
Geographical Area ◽  
Health Information System ◽  
Health Indicators ◽  
Health Priorities ◽  
Free Access ◽  
Local Public Health ◽  
Mapping Tool

Abstract Issue/problem Local public health actors often need to identify public health priorities in their territories to guide public health policy and/or action. Description of the problem The Southeastern Health Regional Observatory (ORS Paca) has been developing since 2006 a health information system for Southeastern France (SIRSéPACA). The objective of this mapping tool is to give access to regional and local public health actors to public health indicators for various population groups and geographical scales (municipality, districts...) within the region. Results Indicators are displayed under the format of maps and tables on the following topics: morbidity, mortality, health social, economic or environmental determinants. Indicators are constructed using national and regional databases (open or accessible through agreements). SIRSéPACA is in free access (www.sirsepaca.org) and regularly updated. A function allows the users to obtain a portrait for a defined geographical area and to obtain in one click a description of various indicators (socio-economic and demographic characteristics, mortality and morbidity causes, health care and prevention, environmental health). Indicators for a given territory can be compared to the regional average (or another area). SIRSéPACA is regularly used to provide a description of the main public health characteristics of territories (“territorial diagnose”), e.g. to help health professionals intending to set up of a multidisciplinary group practice designing their project. Lessons Trainings on how to use the tool, interpret the maps produced, and about territorial diagnoses implementation are regularly done. We are also developing a similar tool for all French regions for the Ministry of Health. Key messages SIRSéPACA facilitates access to and overview of a lot of indicators and data for local public health actors. This regional experience has been expanded to national level.

scholarly journals A Proposal for Public Health Information System-Based Health Promotion Services

Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 338
Author(s):  
Kichan Yoon ◽  
Sewon Park ◽  
Solji Choi ◽  
Munjae Lee
Keyword(s):  
Public Health ◽  
Health Promotion ◽  
Information System ◽  
Health Insurance ◽  
Health Information ◽  
Health Information System ◽  
Medical Information System ◽  
Health Examination ◽  
Medical Institutions ◽  
Public Health Information

This study aims to examine the current status and utilization of 22 health promotion projects that use the health care information system. We investigate the health promotion examination results for a counseling project held at health centers, which use information connected with the Health Insurance Corporation. First, we review the status of 22 health promotion projects, including 13 integrated health promotion projects and 9 other health promotion projects. Next, we examine the linkages between the 22 projects and other health promotion systems. Consequently, despite accumulating vast amounts of data, only 10 places could be linked to health promotion data in the health and medical information system; the Social Security Information Service was the only exception to this trend. The Public Health Information System (PHIS) had the lowest data utilization rate in the project. The study results show that it is necessary to utilize data from local health and medical institutions in order to provide information system-based health promotion services. In particular, it seems to be effective when health and medical institutions provided various counseling services and other linked services to local residents in connection with the Korea Health Insurance Corporation’s health examination results.

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