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Computational Technology for Effective Health Care: Immediate Steps and Strategic Directions
Abstract
Despite a strong commitment to delivering quality health care, persistent problems involving medical errors and ineffective treatment continue to plague the industry. Many of these problems are the consequence of poor information and technology (IT) capabilities, and most importantly, the lack cognitive IT support. Clinicians spend a great deal of time sifting through large amounts of raw data, when, ideally, IT systems would place raw data into context with current medical knowledge to provide clinicians with computer models that depict the health status of the patient. Computational Technology for Effective Health Care advocates re-balancing the portfolio of investments in health care IT to place a greater emphasis on providing cognitive support for health care providers, patients, and family caregivers; observing proven principles for success in designing and implementing IT; and accelerating research related to health care in the computer and social sciences and in health/biomedical informatics. Health care professionals, patient safety advocates, as well as IT specialists and engineers, will find this book a useful tool in preparation for crossing the health care IT chasm.
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Cited by
The Technology Acceptance Model: Its past and its future in health care
Holden, R. J., & Karsh, B.-T. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.07.002 · Cited by 2,669
Artificial Intelligence in Health Care: A Report From the National Academy of Medicine
Matheny, M. E., Whicher, D., & Thadaney Israni, S. (2020) · JAMA · doi:10.1001/jama.2019.21579 · Cited by 628
Middleton, B., Bloomrosen, M., Dente, M. A., Hashmat, B., Koppel, R., Overhage, J. M., Payne, T. H., Rosenbloom, S. T., Weaver, C., & Zhang, J. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001458 · Cited by 618
Data from clinical notes: a perspective on the tension between structure and flexible documentation
Rosenbloom, S. T., Denny, J. C., Xu, H., Lorenzi, N., Stead, W. W., & Johnson, K. B. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2010.007237 · Cited by 404
Health information technology: fallacies and sober realities
Karsh, B.-T., Weinger, M. B., Abbott, P. A., & Wears, R. L. (2010) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2010.005637 · Cited by 365
Metadata
- Venue
- National Academies Press eBooks
- Publisher
- National Academies Press
- Published
- 2009-02-24
- OpenAlex
- W2395698814
- Cited by
- 282
- References
- 0
- FWCI
- 52.63
- Type
- book
- Language
- en
- Open access
- closed
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