Motivated Inferences of Price and Quality in Healthcare Decisions

Assessing HIPAA Compliance of Open Source Electronic Health Record Applications

International Journal of Information Security and Privacy ◽

10.4018/ijisp.2021040109 ◽

2021 ◽

Vol 15 (2) ◽

pp. 181-195

Author(s):

Hossain Shahriar ◽

Hisham M. Haddad ◽

Maryam Farhadi

Keyword(s):

Electronic Health Record ◽

Open Source ◽

Medical Decision ◽

Patient Treatment ◽

Health Record ◽

Technical Requirements ◽

Patient Health ◽

Treatment Plans ◽

Electronic Health ◽

Quality In Healthcare

Electronic health record (EHR) applications are digital versions of paper-based patient health information. EHR applications are increasingly being adopted in many countries. They have resulted in improved quality in healthcare, convenient access to histories of patient medication and clinic visits, easier follow up of patient treatment plans, and precise medical decision-making process. The goal of this paper is to identify HIPAA technical requirements, evaluate two open source EHR applications (OpenEMR and OpenClinic) for security vulnerabilities using two open-source scanner tools (RIPS and PHP VulnHunter), and map the identified vulnerabilities to HIPAA technical requirements.

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Improving quality in healthcare - current trends and innovations

Journal of Nursing Management ◽

10.1111/j.1365-2834.2012.01434.x ◽

2012 ◽

Vol 20 (3) ◽

pp. 299-301 ◽

Cited By ~ 2

Author(s):

Martha A. Riehle ◽

Kristiina Hyrkas

Keyword(s):

Current Trends ◽

Quality In Healthcare

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Managing alarm systems for quality and safety in the hospital setting

BMJ Open Quality ◽

10.1136/bmjoq-2017-000202 ◽

2018 ◽

Vol 7 (3) ◽

pp. e000202 ◽

Cited By ~ 14

Author(s):

Tita Alissa Bach ◽

Lars-Martin Berglund ◽

Eva Turk

Keyword(s):

Machine Learning ◽

Literature Review ◽

Grey Literature ◽

Hospital Setting ◽

Integrated Approach ◽

Clinical Environment ◽

Alarm Systems ◽

Literature Reviews ◽

Technical Factors ◽

Quality In Healthcare

ObjectiveTo provide an overview of documented studies and initiatives that demonstrate efforts to manage and improve alarm systems for quality in healthcare by human, organisational and technical factors.MethodsA literature review, a grey literature review, interviews and a review of alarm-related standards (IEC 60601-1-8, IEC 62366-1:2015 and ANSI/Advancement of Medical Instrumentation HE 75:2009/2013) were conducted. Qualitative analysis was conducted to identify common themes of improvement elements in the literature and grey literature reviews, interviews and the review of alarm-related standards.Results21 articles and 7 publications on alarm quality improvement work were included in the literature and grey literature reviews, in which 10 themes of improvement elements were identified. The 10 themes were categorised into human factors (alarm training and education, multidisciplinary teamwork, alarm safety culture), organisational factors (alarm protocols and standard procedures, alarm assessment and evaluation, alarm inventory and prioritisation, and sharing and learning) and technical factors (machine learning, alarm configuration and alarm design). 26 clinicians were interviewed. 9 of the 10 themes were identified from the interview responses. The review of the standards identified 3 of the 10 themes. The study findings are also presented in a step-by-step guide to optimise implementation of the improvement elements for healthcare organisations.ConclusionsImproving alarm safety can be achieved by incorporating human, organisational and technical factors in an integrated approach. There is still a gap between alarm-related standards and how the standards are translated into practice, especially in a clinical environment that uses multiple alarming medical devices from different manufacturers. Standardisation across devices and manufacturers and the use of machine learning in improving alarm safety should be discussed in future collaboration between alarm manufacturers, end users and regulators.

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