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Computational Technology for Effective Health Care Immediate Steps and Strategic Directions (2009) / Chapter Skim
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4 Principles for Success
Pages 30-35

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From page 30...
... Any approach to health care IT should enable and anticipate both types of change since they work together over time. Abstracting from its site visit observations, the experience of its members, and the extant literature, the committee identified principles to For a sampling of the relevant literature, see M
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From page 31...
... :259-266, October 2007; Jane Hendy et al., "Challenges to Implementing the National Programme for Information Technology (NPfIT) : A Qualitative Study," British Medical Journal 331:331-336, August 6, 2005; Heather Heathfield, David Pitty, and Rudolph Hanka, "Evaluating Information Technology in Health Care: Barriers and Challenges," British Medical Journal 316:1959-1961, June 27, 1998; C
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From page 32...
... Therefore, health care providers should aggregate as much data as feasible about people, processes, and outcomes from all sources, acknowledging the never-ending challenge of maintaining reasonable degrees of patient confidentiality in such a data collection effort. Of potential relevance are data about people (e.g., their medical condition and health status, their diet and environmental conditions)
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From page 33...
... 4.1.5  Principle 5: Support the Cognitive Functions of All Caregivers, Including Health Professionals, Patients, and Their Families Organizations investing in health care IT can support the cognitive functions of individuals and organizations as they iteratively adapt roles and work processes. Such support includes analysis of data from practice to identify high-priority improvement opportunities among populations or work processes, analysis of applicable evidence, tools such as order sets for linking evidence into workflow, and aggregation of patient data into decision-centric displays.
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From page 34...
... 4.2.2  Principle 7: Archive Data for Subsequent Re-interpretation Vendors of health care IT should provide the capability of recording any data collected in their measured, uninterpreted, original form, archiving them as long as possible to enable subsequent retrospective views and analyses of those data. Advances in biomedical science and practice will change today's interpretation of data. In addition, advances in computer science and related disciplines will lead to new ways to extract meaningful and useful knowledge from existing data stores allowing reanalysis of pre-existing data to reveal medically significant relationships and correlations that are currently unknown.
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From page 35...
... 4.2.4  Principle 9: Seek and Develop Technologies That Clarify the Context of Data Organizations should seek and develop technologies that present new information in the context of other information available about the patient and relevant biomedical knowledge. The combination of new biomedical technologies, together with increased access to data through health care IT, is increasingly overwhelming health professionals' ability to make sense of individual findings.
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Key Terms

  • evolutionary change
  • iterative improvement
  • ineffective work
  • data mining
  • order entry

  • process improvement
  • medical journal
  • develop technologies
  • british medical
  • computerized physician

  • physician order
  • outside health
  • overwhelming health
  • architect health
  • actual health

  • health information
  • data recording
  • care services
  • patient data
  • care internal

  • cognitive support
  • data types
  • collected data
  • providing support
  • support iterative

  • incremental care
  • genomic data
  • ronmental data
  • data stores
  • data interoperability


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