Computational Technology for Effective Health Care: Immediate Steps and Strategic Directions (Google eBook)
Committee on Engaging the Computer Science Research Community in Health Care Informatics, Computer Science and Telecommunications Board, Division on Engineering and Physical Sciences, National Research Council
National Academies Press, Feb 24, 2009 - Computers - 93 pages
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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1 Health Care in the United States Today
2 A Vision for 21st Century Health Care and Wellness
3 Crossing the Health Care IT Chasm
4 Principles for Success
5 Research Challenges
7 Concluding Thoughts
Committee Members and Staff
Meeting and Site Visit Agendas and Site Visit Methodology
Observations Consequences and Opportunities The Site Visits of the Committee
21st century health aggregation applications automation Biomedical Informatics capture caregivers clinicians committee’s complex computer science community computer science research Consequences—Why context CSTB data integration data mining data sources database decision support domain electronic health record example focus guidelines health care information health care organizations health care providers health care system Health Information health professionals health/biomedical informatics Hospital human-computer interaction identify implementation improvement information technology infrastructure Institute of Medicine interactions interface Intermountain Healthcare interoperability James Levin Journal knowledge Medical Center Medical Informatics medical record models multiple National Academy Press National Research Council needed nursing observations OCTO BARNETT ontologies opportunities overview patient-centered cognitive support physician primary problems programs Quadrant 2 Health Quality Chasm raw data relevant require research challenges semantic Shadowing session small-scale optimization support for health techniques tion today’s health University Vanderbilt University virtual patient vision visits Washington workflow