Viewpoint Paper: Unintended Consequences of Information Technologies in Health Care - An Interactive Sociotechnical Analysis
By Michael I. Harrison, Ross Koppel, Shirly Bar‐Lev. J. Am. Medical Informatics Assoc., 2007
697 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/822f7602a49b7cfe903201201c4a61445e1850fc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Ann Majchrzak
- M. Markus
- Trisha Greenhalgh
- Joseph P. Wherton
- Chrysanthi Papoutsi
- S. Hinder
- J. Lynch
- G. Hughes
Citations in the corpus
- Healthcare professionals' organisational barriers to health information technologies - A literature review (2011, background): “[31] M.”
- Impact of electronic health record systems on information integrity: quality and safety implications. (2013, background): “While a primary goal of EHR implementation is the reduction of medical errors, reports of new types of errors directly related to EHR implementation that can compromise quality of care and patient safety have emerged.(15) For example, a patient’s treatment for cancer was delayed by several years bec”
- Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis (2018, background): “Also, some studies have reported incidents of patient harm associated with CDSS implementation [38].”
- Organizational issues in the implementation and adoption of health information technology innovations: An interpretative review (2013, unknown): “interoperability and performance) [65].”
- Designing for Digital Transformation: Lessons for Information Systems Research from the Study of ICT and Societal Challenges (2016, background): “Over the years, there have been a number of calls for IS researchers to consider the unintended or negative consequences of ICT (Ash et al. 2004; Harrison et al. 2007; Majchrzak and Markus 2013; Sawyer and Rosenbaum 2000; Sein and Harindranath 2004).”
- Analysing the role of complexity in explaining the fortunes of technology programmes: empirical application of the NASSS framework (2018, background): “sionals may resist them [8–10]; new technologies may clash with legacy systems and with established routines [11, 12];”
- Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals (2010, unknown): “…which have resulted in investment losses in the tens of millions of dollars (Ornstein 2003, Scott et al. 2005), as well as studies that have reported negative results of EMR adoption (Harrison et al. 2007, Koppel et al. 2005) intensify the risks that managers assume in their EMR adoption decisions.”