National Research Council: Current Approaches to
Health IT Insufficient
The
National Research Council has issued a remarkable press release about a new
report on HIT. The press release is at this link:
Current
Approaches to U.S. Health Care Information Technology are Insufficient
A
prepublication PDF of the report itself is here.
I
reproduce the press release below.
My early
mentor, cardiothoracic surgery pioneer Victor P. Satinsky, M.D., used to become
irritated when people or organizations presented views that qualified them as
"Masters of the Obvious." I believe the following release by the highest
scientific authorities in the land may qualify for such a categorization.
The
release by the National Research Council outlines the "what"
(what is wrong), but not the "why." That is, why these healthcare IT problems
exist at all, and why the Joint
Commission and NRC reports are even necessary, after 40+ years of
Biomedical Informatics, IT-sociology and other research. Without understanding the “why”, remediation
will be much more difficult. Of note,
the report does call for social science research should help further elucidate
the “why’s” of HIT industry dysfunction beyond the materials presented at this
website.
On the
positive side, the typical hospital CIO or other non-medical executive clearly
needs to become substantially more aligned towards serving the needs of
clinicians, via being compelled by this report and its aftermath to make major
changes in the way HIT is pursued.
Significantly,
the NRC report was about a number of the best medical organizations in this
country, not about the smaller less experienced hospitals where HIT issues are
likely more profound.
Finally,
the report is not news to this author nor others who objectively observe HIT
(especially those without financial or other conflicts of interest).
Perhaps
medicine as a profession should feel for patients who were denied care due to
lack of funds while the IT industry diverted capital out of healthcare for
"insufficient" HIT, or were denied good care through
malfunctioning HIT or non-functioning HIT, or who suffered outcomes that good
HIT might have prevented.
There is
a cost of lost opportunity. My own father
died from medical malpractice as a result of informational confusion a good EHR
might have prevented.
Emphases
in boldface are mine:
The National Academies
Date: Jan. 9, 2009
FOR IMMEDIATE RELEASE
CURRENT
APPROACHES TO U.S. HEALTH
CARE INFORMATION TECHNOLOGY ARE INSUFFICIENT
In 2001, the
Although the institutions showed a strong commitment to delivering quality
health care, the IT systems seen by the committee fall short of what will be
needed to realize IOM's vision. The report describes difficulties with data
sharing and integration, deployment of new IT capabilities, and
large-scale data management. Most importantly, current health care IT systems
offer little cognitive support; clinicians spend a great deal of time
sifting through large amounts of raw data (such as lab and other test
results) and integrating it with their medical knowledge to form a whole
picture of the patient. Many care providers told the committee that data
entered into their IT systems was used mainly to comply with regulations or
to defend against lawsuits, rather than to improve care. As a result, valuable
time and energy is spent managing data as opposed to understanding the patient.
Ideally, IT systems would place raw data into context with current medical
knowledge to provide clinicians with computer models, "virtual
patients," that depict the health status of the patient, including
information on how different organ systems are interacting, epidemiological
insight into the local prevalence of disease, and potential patient-specific
treatment regimens. Although health care workers could still have access to the
raw data if they needed it, clinicians would be able to work with models without
drowning in data. This cognitive support would help clinicians more
efficiently and effectively determine a course of action through improved
understanding of a patient's status, says the report.
The report identifies several principles for improving health care IT. In the
short term, government, health care providers, and health care IT vendors
should embrace measurable improvements in quality of care as the driving
rationale for adopting health care IT, and should avoid programs that focus
on adoption of specific clinical applications. In the long term, success
will depend upon accelerating interdisciplinary research in biomedical informatics, computer science,
social science, and health care engineering.
This report was sponsored by the U.S. National Library of Medicine, National
Institutes of Health, U.S. National Science Foundation, Partners HealthCare
System,
Copies of COMPUTATIONAL
TECHNOLOGY FOR EFFECTIVE HEALTH CARE: IMMEDIATE STEPS AND STRATEGIC DIRECTIONS are
available from the National Academies Press; tel. 202-334-3313 or
1-800-624-6242 or on the Internet at HTTP://WWW.NAP.EDU. Reporters may obtain a copy
from the Office of News and Public Information (contacts listed above).
# # #
[ This news release and report are available at HTTP://NATIONAL-ACADEMIES.ORG
]
NATIONAL RESEARCH COUNCIL
Division on Engineering and Physical Sciences
Computer Science and Telecommunications Board
COMMITTEE ON ENGAGING THE COMPUTER SCIENCE RESEARCH COMMUNITY IN HEALTH CARE
INFORMATICS
WILLIAM W. STEAD 1 (CHAIR)
McKesson Foundation Professor of Medicine and Biomedical
Informatics, and
Associate Vice Chancellor for Strategy and
G. OCTO BARNETT 1
Professor of
Senior Scientific Director
Laboratory of Computer Science
Massachusetts General Hospital
Boston
SUSAN B. DAVIDSON
Weiss Professor and Chair
Computer and
ERIC DISHMAN
General Manager and Global Director
Intel Corp.
DEBORAH L. ESTRIN
Professor of Computer Science, and
Director
Center for Embedded Networked Sensing
Department of Computer Science
University of California
Los Angeles
ALON HALEVY
Research Scientist
Department of Engineering
Google Inc.
DONALD A. NORMAN
Co-Founder
Neilsen Norman Group
IDA SIM
Associate Professor of Medicine
Department of Medicine
School of Medicine
University of California
San Francisco
ALFRED Z. SPECTOR 2
Vice President of Research and Special Initiatives
Google Inc.
PETER SZOLOVITS 1
Head
Clinical Decision-Making Group
Computer Science and Artificial Intelligence Laboratory, and
Professor of Computer Science and Engineering
Massachusetts Institute of Technology
Cambridge
ANDRIES VAN DAM 2
University Professor of Technology and Education and
Professor of
GIO WIEDERHOLD
Professor Emeritus
Department of
RESEARCH COUNCIL STAFF
HERB LIN
Study Director
1 Member,
2 Member, National

