scholarly journals PENGGUNAAN MOBILE HEALTH DALAM USAHA MONITORING HIPERTENSI (THE UTILIZATION OF MOBILE HEALTH IN MONITORING HYPERTENSION)

2018 ◽  
Vol 5 (1) ◽  
pp. 14
Author(s):  
Saras Anindya Nurhafid ◽  
Tuti Afriyani
Keyword(s):  
Information System ◽  
Health Services ◽  
Electronic Health Record ◽  
Mobile Health ◽  
Health Information System ◽  
Health Record ◽  
Hypertensive Patients ◽  
Quality Of Health Services ◽  
Electronic Health

Hypertension is a health problem that is still widely encountered in Indonesia. A common problem is the lack of monitoring of health status by hypertensive patients. With the advancement of information technology, has designed mobile health information system known as mHealth which can be integrated with Electronic Health Record (EHR) in health service to improve hypertension monitoring. The author uses literature review non sistematic study writing method. Implementation of mHealth has benefits both for mHealth users and for health teams, especially community nurses who can improve the quality of health services. Therefore, the authors recommend the use of mHealth in health services in Indonesia. Keywords: Electronic Health Record, hypertension, mHealth

Engineering Dependable Health Information Systems

2005 ◽  
pp. 91-109 ◽  
Author(s):  
Khin Than Win ◽  
Peter Croll
Keyword(s):  
Information System ◽  
Knowledge Management ◽  
Information Systems ◽  
Electronic Health Record ◽  
Health Information ◽  
Health Information System ◽  
Health Information Systems ◽  
Health Record ◽  
The Relationship

Effective and appropriate implementation of health information systems assists with an organization’s knowledge management. To enhance a user’s trustworthiness and full adoption, a health information system needs to be dependable. This chapter reviews the different development methodologies available for engineering dependable solutions and their application by citing two case studies as an example. Health information systems cover a diverse set of applications. The focus in this chapter is on the development of electronic health record systems, the importance of dependability, and the relationship between dependability and data quality of the health record systems.

scholarly journals A DECENTRALIZED CRYPTOGRAPHIC BLOCKCHAIN APPROACH FOR HEALTH INFORMATION SYSTEM

2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Dr.J.Chenni Kumaran ◽  
Antony Eric Machado ◽  
Dharanidharan R ◽  
Rishi Johnson Bose
Keyword(s):  
Information System ◽  
Electronic Health Record ◽  
Health Information ◽  
Health Information System ◽  
Health Record ◽  
Electronic Health ◽  
Hashing Algorithm

Blockchain had been an exciting studies vicinity for a long term and the advantages it gives had been utilized by some of diverse industries. Similarly, the healthcare zone stands to advantage immensely from the blockchain generation because of protection, privacy, confidentiality and decentralization. Nevertheless, the Electronic Health Record (EHR) structures face issues concerning records protection, integrity and management. In this paper, we speak how the blockchain generation may be used to convert the EHR structures and might be an answer of those issues. We gift a framework that would be used for the implementation of blockchain generation in healthcare zone for EHR. The goal of our proposed framework is first off to put into effect blockchain generation for EHR and secondly to offer stable garage of digital facts via way of means of defining granular get entry to guidelines for the customers of the proposed framework. Moreover, this framework additionally discusses the scalability trouble confronted via way of means of the blockchain generation in preferred through use of off-chain garage of the facts. This framework gives the EHR device with the advantages of getting a scalable, stable and imperative blockchain-primarily based totally answer with use of sha256 hashing algorithm.

Mobile Health Systems and Electronic Health Record

2019 ◽  
pp. 15-33
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Health Care ◽  
Global Health ◽  
Electronic Health Record ◽  
Health Systems ◽  
Mobile Health ◽  
Health Record ◽  
Care Services ◽  
Global Health Care ◽  
Mobile Health Systems ◽  
Electronic Health

This chapter reveals the overview of mobile health systems; the adoption of mobile health systems; mobile health systems and patient monitoring; the overview of mobile health technology; the advanced issues of Electronic Health Record (EHR); and the challenges of EHR in global health care. Mobile health helps deliver the health care services with quality care, improved workflow, and increased patient interaction while minimizing complexity and cost to achieve the desired goals in health care settings. EHR systems are the real-time and patient-centered records that make information available instantly and securely to authorized users. The chapter argues that applying mobile health systems and EHR has the potential to improve health care efficiency and gain sustainable competitive advantage in global health care.

scholarly journals 1082 Using an Electronic Health Record (EHR) to Collect and Use Quality-Of-Life Data for AASM Process and Outcomes Quality Measures

SLEEP ◽  
2018 ◽  
Vol 41 (suppl_1) ◽  
pp. A402-A402 ◽  
Author(s):  
B Staley ◽  
B T Keenan ◽  
S Simonsen ◽  
R Warrell ◽  
R Schwab ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Electronic Health Record ◽  
Quality Measures ◽  
Health Record ◽  
Life Data ◽  
Electronic Health

scholarly journals Diabetes and Hypertension Quality Measurement in Four Safety-Net Sites

2014 ◽  
Vol 05 (03) ◽  
pp. 757-772 ◽  
Author(s):  
R. Benkert ◽  
P. Dennehy ◽  
J. White ◽  
A. Hamilton ◽  
C. Tanner ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Quality Measurement ◽  
Safety Net ◽  
Lessons Learned ◽  
Health Record ◽  
Partnership Model ◽  
Safety Net Clinics ◽  
Electronic Health ◽  
Query Algorithms

SummaryBackground: In this new era after the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009, the literature on lessons learned with electronic health record (EHR) implementation needs to be revisited.Objectives: Our objective was to describe what implementation of a commercially available EHR with built-in quality query algorithms showed us about our care for diabetes and hypertension populations in four safety net clinics, specifically feasibility of data retrieval, measurements over time, quality of data, and how our teams used this data.Methods: A cross-sectional study was conducted from October 2008 to October 2012 in four safety-net clinics located in the Midwest and Western United States. A data warehouse that stores data from across the U.S was utilized for data extraction from patients with diabetes or hypertension diagnoses and at least two office visits per year. Standard quality measures were collected over a period of two to four years. All sites were engaged in a partnership model with the IT staff and a shared learning process to enhance the use of the quality metrics.Results: While use of the algorithms was feasible across sites, challenges occurred when attempting to use the query results for research purposes. There was wide variation of both process and outcome results by individual centers. Composite calculations balanced out the differences seen in the individual measures. Despite using consistent quality definitions, the differences across centers had an impact on numerators and denominators. All sites agreed to a partnership model of EHR implementation, and each center utilized the available resources of the partnership for Center-specific quality initiatives.Conclusions: Utilizing a shared EHR, a Regional Extension Center-like partnership model, and similar quality query algorithms allowed safety-net clinics to benchmark and improve the quality of care across differing patient populations and health care delivery models.Citation: Benkert R, Dennehy P, White J, Hamilton A, Tanner C, Pohl JM. Diabetes and hypertension quality measurement in four safety-net sites: Lessons learned after implementation of the same commercial electronic health record. Appl Clin Inf 2014; 5: 757–772http://dx.doi.org/10.4338/ACI-2014-03-RA-0019

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