Literature DB >> 12026121

Developing the health information infrastructure in the United States.

Mary Jo Deering1.   

Abstract

Consumers, patients, and their families; health care providers and managers; public health professionals and policy makers need integrated multi-function health information structures that allow them to locate and apply information when and where they need it to make better decisions about health. The National Committee on Vital and Health Statistics (NCVHS), which advises the Secretary of Health and Human Services (HHS) on health information policy, is promoting a comprehensive vision of the National Health Information Infrastructure (NHII). The NHII is defined as the set of technologies, standards, applications, systems, values, and laws that support all facets of individual health, health care, and public health. It is not a unitary database. The broad goal of the NHII is to deliver information to consumers, patients, professionals, and other health decision-makers when and where they need it. The NCVHS' Interim Report presented three overlapping "dimensions" of the NHII: the personal health dimension, the health care provider dimension, and the community health dimension, to highlight the functions and value of information linkages from various perspectives. The content of an NHII includes clinical, population, and personal data, practice guidelines, biomedical, health services, and other research findings; and consumer health information. This data is, and will likely remain, stored in many locations. To succeed, such an effort will require coordinated, collaborative action. The NCVHS' final report to the HHS Secretary will include recommendations for Federal leadership and for other relevant stakeholders, including public health agencies; health care providers, plans and purchasers; the IT industry; standards development organizations; and consumer groups.

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Mesh:

Year:  2002        PMID: 12026121

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  Measurement-based care for refractory depression: a clinical decision support model for clinical research and practice.

Authors:  Madhukar H Trivedi; Ella J Daly
Journal:  Drug Alcohol Depend       Date:  2007-02-22       Impact factor: 4.492

2.  eHealth research from the user's perspective.

Authors:  Bradford W Hesse; Ben Shneiderman
Journal:  Am J Prev Med       Date:  2007-05       Impact factor: 5.043

3.  Barriers to implementation of a computerized decision support system for depression: an observational report on lessons learned in "real world" clinical settings.

Authors:  Madhukar H Trivedi; Ella J Daly; Janet K Kern; Bruce D Grannemann; Prabha Sunderajan; Cynthia A Claassen
Journal:  BMC Med Inform Decis Mak       Date:  2009-01-21       Impact factor: 2.796

  3 in total

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