Use of electronic health records in U.S. hospitals.
By A. Jha, C. DesRoches, E. Campbell, K. Donelan, Sowmya R. Rao, T. Ferris, A. Shields, S. Rosenbaum, D. Blumenthal. New England Journal of Medicine, 2009
1,401 citations recorded by the source corpus.
Subfields: Health Information Management, Issues, ethics and legal aspects, Surgery
View Paper: https://www.semanticscholar.org/paper/5fc9671fb6da24d40b275fbf7df95dc554212e14
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Citations in the corpus
- Electronic medical records for discovery research in rheumatoid arthritis (2010, positive): “With the increasing adoption of electronic medical records (30,31) and the high cost of maintaining large cohort studies, harnessing the complete EMR (narrative and codified data) for use in biomedical research offers an untapped resource for clinical and translational research.”
- Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective (2020, neutral): “Studies belonging to fi rst stream have explored various characteristics of healthcare service providers, such as size, location, competition, ownership status, etc., that have adopted IT [24]; [54]; [57]; [74].”
- Using electronic health records to drive discovery in disease genomics (2011, background): “This 'productive parasitism' is a strategy that is likely to grow with increased penetration of the EHRs into clinical car”
- Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals (2010, background): “6% for a basic electronic health record (EHR)2 system (Jha et al. 2009),3 underscoring the uncertainty hospitals confront in their decision to acquire the innovation (Greve 2009).”
- Evolving Work Routines: Adaptive Routinization of Information Technology in Healthcare (2011, background): “the extent that identifying and working to manage the resistance from physicians is a key issue in HIT adoption (Jha et al. 2009), studying physician resistance to technology change from the routines perspective could generate important insights pertinent to HIT implementation.”
- Electronic health records to facilitate clinical research (2016, background): “Concerns about coding inaccuracies or bias introduced by selection of codes driven by billing incentives rather than clinical care may be diminished when healthcare providers enter data directly into the EHRs or when EHRs are used throughout all areas of the health-system, but such systems have not ”