Can electronic medical record systems transform health care? Potential health benefits, savings, and costs.
By R. Hillestad, J. Bigelow, A. Bower, Federico Girosi, Robin C. Meili, R. Scoville, Roger Taylor. 2005
1,851 citations recorded by the source corpus.
Subfields: Health Information Management, Organizational Behavior and Human Resource Management, Medical & Health AI
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Citations in the corpus
- Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning (2017, background): “Relational databases store a vast amount of today’s information and provide the foundation of applications such as medical records (Hillestad et al., 2005), financial markets (Beck et al., 2000), and customer relations management (Ngai et al., 2009).”
- Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals (2010, background): “A second reason for exclusion is that even among the adopters, the true costs and benefits of EMR adoption are as yet unknown (Hillestad et al. 2005).”
- TURF: Toward a unified framework of EHR usability (2011, neutral): “tion and meaningful use [1–7].”
- Blockchain technology in healthcare: Challenges and opportunities (2020, background): “They cannot be used to coordinate care, measure quality, or reduce medical errors [15].”
- The Economics of Privacy (2016, background): “A first wave of economic research consists of seminal work produced between the 1970s and early 1980s by Chicago School scholars such as Stigler and Posner, and competing arguments by scholars such as Hirshleifer (1971, 1980). By and large, this initial wave of work did not consist of formal economi”
- Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, neutral): “The inner product (f, g) is defined with the metric W which has the matrix elements W ij ¼ wðjj À ijÞ ¼ wðrÞ as ðf ; gÞ ¼ f T Wg ð6Þ and the norm of f as kf k ¼ ffiffiffiffiffiffiffiffiffiffiffi ðf ; f Þ p ; similar for g.”
- A Review of 25 Years of CSCW Research in Healthcare: Contributions, Challenges and Future Agendas (2013, background): “" Many studies of healthcare and health ICT reported in medical IT and related literatures often focus on more top-down and objective measures such as cost savings (e.g., see Hillestad et al. 2005).”
- Challenges and Opportunities of Big Data in Health Care: A Systematic Review (2016, background): “Health information systems show great potential in improving the efficiency in the delivery of care, a reduction in overall costs to the health care system, as well as a marked increase in patient outcomes [8].”