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Worldview
The breadth of the U.S.
artificial intelligence/knowledge based
support systems, often developed at universities with close working relationships to major
medical research centers, has led to the United States having an unsurpassed base of experienced
researchers and demonstration projects. Networking and communications infrastructure will
play a significant role in wide-spread application, again an area benefiting from U.S.
leadership. European interest in Medical Informatics has also been strong for
more than 20
years, with a history of involvement with artificial intelligence decision support research. While the Japanese
have shown a strong interest in quantitative medicine and the application of their
biosensor technologies, they have not had the extensive development of
artificial intelligence decision support systems and have been further limited by user interface, networking and institutional
issues.
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Whats the use?
While many isolated systems have been
developed and demonstrated in well-bounded settings, the availability of an integrated
system of information on clinical practice, patient management and outcomes is still on
the far horizon. Because most data bases are administrative in nature, few contain any
meaningful clinical or outcome information; and because of the nature of our health
insurance system, they do not contain population-based or longitudinal data. Emphasis must
be placed on linking the ultimate outcome and health status changes for many patients over
time with data regarding the specific preventive/clinical intervention/treatment as well
as effects of financing structures, organization, demographics, procedures, guidelines,
and care processes. Cost-effective public health surveillance requires the ability to link
aggregate data obtained from the personal care system to regional, state, and local data
on environmental pollution, occupational hazards, disease vectors, etc.
Such work is dependent upon development of data
systems, agreement on standardized data elements to be collected for computer-based
patient records, and administrative data files as well as consumer surveys. A major focus
of activity also needs to be the linkage of existing personal care and public health data
systems and incorporation of meaningful clinical and outcomes data (measures and reporting
formats) that can be electronically exchanged. The results should improve the ability of
physicians to stay abreast of state-of-the-art treatments and outcomes in specific
circumstances, and enable patients to take a more actively informed role in their own
health care. The broader acceptance of telemedicine and the emergence of virtual medical
groups may enable more fully informed decisions to be made in remote clinics or community
hospitals. These systems would also provide increased national security by allowing the
military to minimize battlefield casualties by facilitating out-of-theater support for
limited forward medical teams.
The United States has developed a broad technology base at
the sub- systems level in both hardware and software, but has not yet been able to benefit
from the synergy of decision support systems, networking and communications, and large
scale data storage and retrieval capabilities. The development of standards for data
exchange is in progress to provide commonality of definitions, messaging and data formats
which will be necessary to link large, presently independent systems. As part of the High
Performance Computer Consortium (HPCC) program, health care related systems include
test bed networks and collaborative applications to link remote and urban patients and
providers to the information they need. This includes database technologies to collect and
share patient health records in secure, privacy assured environments, advanced biomedical
devices and sensors, and the system architectures to build and maintain the complex health
information network. Virtual reality technology is being used to simulate operations for
medical training, and combined with teleoperator technology for remote surgical
procedures. Graphic image reconstruction software and visualization techniques are being
combined with high resolution serial sections and CT and MRI imagery to development a
virtual atlas of human anatomy for training and education.
Yet, the history of further development into
commercial products with multi-institutional adoption has not been encouraging,
encountering a host of non-technical barriers which have not been related to the system's
ability to improve patient management and outcomes, reduce length of stay and related
health care costs. The barriers include physician resistance, cultural differences, and
conflicts between societal values. Confidentiality, privacy, and security issues may be an
ongoing challenge to systems implementers because a patient's right to privacy has been
defined by the U.S. Court of Appeals as a constitutional right which is more compelling
than "just" a statutory right, and administrative convenience was not deemed to
be a defense against compromising patient privacy. To benefit from the capabilities
of integrated health care information systems, these systems will have to bridge a
multiplicity of medical institutions, third party payer reporting requirements, and even
widely varying public health reporting requirements on a state- by-state basis.
Telemedicine and the interstate transfer of medical decision support software have
already met regulatory challenges that demonstrate that 60-year-old policies need to be
revised.
Universal solutions are unlikely as an integrated
system must encompass patient and physician education, medical diagnosis and patient
management, third party payers and national public health data acquisition needs while
complying with individual privacy rights. Implementation will be incremental, modules will
be developed, certified and integrated locally and regionally; while there will be strong
economic incentives for commonality, cultural differences will play an enormous role in
actual utilization. |
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