scholarly journals Quality and Certification of Electronic Health Records

2010 ◽  
Vol 01 (02) ◽  
pp. 149-164 ◽  
Author(s):  
E. Ammenwerth ◽  
A. Hoerbst
Keyword(s):  
Information Systems ◽  
Electronic Health Records ◽  
Qualitative Content Analysis ◽  
Real Life ◽  
Health Records ◽  
Selection Processes ◽  
Quality Certification ◽  
The Us ◽  
Service Oriented ◽  
Electronic Health

Summary Background: Numerous projects, initiatives, and programs are dedicated to the development of Electronic Health Records (EHR) worldwide. Increasingly more of these plans have recently been brought from a scientific environment to real life applications. In this context, quality is a crucial factor with regard to the acceptance and utility of Electronic Health Records. However, the dissemination of the existing quality approaches is often rather limited. Objectives: The present paper aims at the description and comparison of the current major quality certification approaches to EHRs. Methods: A literature analysis was carried out in order to identify the relevant publications with regard to EHR quality certification. PubMed, ACM Digital Library, IEEExplore, CiteSeer, and Google (Scholar) were used to collect relevant sources. The documents that were obtained were analyzed using techniques of qualitative content analysis. Results: The analysis discusses and compares the quality approaches of CCHIT, EuroRec, IHE, openEHR, and EN13606. These approaches differ with regard to their focus, support of service-oriented EHRs, process of (re-)certification and testing, number of systems certified and tested, supporting organizations, and regional relevance. Discussion: The analyzed approaches show differences with regard to their structure and processes. System vendors can exploit these approaches in order to improve and certify their information systems. Health care organizations can use these approaches to support selection processes or to assess the quality of their own information systems. Citation: Hoerbst A, Ammenwerth E. Quality and certification of electronic health records – An overview of current approaches from the US and Europe. Appl Clin Inf 2010; 1: 149–164 http://dx.doi.org/10.4338/ACI-2010-02-R-0009

Professional fission in medical routines: medical scribes and physicians in two US hospital departments

2020 ◽  
Author(s):  
Ann L Bryan ◽  
John C Lammers
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Community Hospital ◽  
Health Record ◽  
Health Departments ◽  
Health Records ◽  
The Us ◽  
Electronic Health ◽  
Medical Scribes ◽  
Digestive Health

Abstract In this study we argue that professionalism imposed from above can result in a type of fission, leading to the ambiguous emergence of new occupations. Our case focuses on the US’ federally mandated use of electronic health records and the increased use of medical scribes. Data include observations of 571 patient encounters across 48 scribe shifts, and 12 interviews with medical scribes and physicians in the ophthalmology and digestive health departments of a community hospital. We found substantial differences in scribes’ roles based on the pre-existing routines within each department, and that scribes developed agency in the interface between the electronic health record and the physicians’ work. Our study contributes to work on occupations as negotiated orders by drawing attention to external influences, the importance of considering differences across professional task routines, and the personal interactions between professional and technical workers.

scholarly journals Facilitating the ethical use of health data for the benefit of society: electronic health records, consent and the duty of easy rescue

2016 ◽  
Vol 374 (2083) ◽  
pp. 20160130 ◽  
Author(s):  
Sebastian Porsdam Mann ◽  
Julian Savulescu ◽  
Barbara J. Sahakian
Keyword(s):  
Informed Consent ◽  
Electronic Health Records ◽  
Data Science ◽  
Real Life ◽  
Health Data ◽  
Sensitive Information ◽  
Minimal Risk ◽  
Sensitive Data ◽  
Health Records ◽  
Electronic Health

Advances in data science allow for sophisticated analysis of increasingly large datasets. In the medical context, large volumes of data collected for healthcare purposes are contained in electronic health records (EHRs). The real-life character and sheer amount of data contained in them make EHRs an attractive resource for public health and biomedical research. However, medical records contain sensitive information that could be misused by third parties. Medical confidentiality and respect for patients' privacy and autonomy protect patient data, barring access to health records unless consent is given by the data subject. This creates a situation in which much of the beneficial records-based research is prevented from being used or is seriously undermined, because the refusal of consent by some patients introduces a systematic deviation, known as selection bias, from a representative sample of the general population, thus distorting research findings. Although research exemptions for the requirement of informed consent exist, they are rarely used in practice due to concerns over liability and a general culture of caution. In this paper, we argue that the problem of research access to sensitive data can be understood as a tension between the medical duties of confidentiality and beneficence. We attempt to show that the requirement of informed consent is not appropriate for all kinds of records-based research by distinguishing studies involving minimal risk from those that feature moderate or greater risks. We argue that the duty of easy rescue—the principle that persons should benefit others when this can be done at no or minimal risk to themselves—grounds the removal of consent requirements for minimally risky records-based research. Drawing on this discussion, we propose a risk-adapted framework for the facilitation of ethical uses of health data for the benefit of society. This article is part of the themed issue ‘The ethical impact of data science’.

Medical Groups’ Adoption Of Electronic Health Records And Information Systems

2005 ◽  
Vol 24 (5) ◽  
pp. 1323-1333 ◽  
Author(s):  
David Gans ◽  
John Kralewski ◽  
Terry Hammons ◽  
Bryan Dowd
Keyword(s):  
Information Systems ◽  
Electronic Health Records ◽  
Health Records ◽  
Medical Groups ◽  
Electronic Health

scholarly journals Process mining routinely collected electronic health records to define real-life clinical pathways during chemotherapy

2017 ◽  
Vol 103 ◽  
pp. 32-41 ◽  
Author(s):  
Karl Baker ◽  
Elaine Dunwoodie ◽  
Richard G. Jones ◽  
Alex Newsham ◽  
Owen Johnson ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Process Mining ◽  
Clinical Pathways ◽  
Real Life ◽  
Health Records ◽  
Electronic Health
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