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Record W2157052691 · doi:10.1136/jamia.2000.0070109

Informatics at NIH

2000· letter· en· W2157052691 on OpenAlexaff
Edward H. Shortliffe, Vimla L. Patel

Bibliographic record

VenueJournal of the American Medical Informatics Association · 2000
Typeletter
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsMcGill University
Fundersnot available
KeywordsComputer scienceInformaticsData sciencePolitical science

Abstract

fetched live from OpenAlex

To the Editor:— We read with great interest the recent article in JAMIA by Hendee, in which he called for the creation of a new NIH institute or center to support biomedical engineering, imaging, and informatics.1 We agree with much of his analysis but wish to offer some additional observations and alternative suggestions for how the informatics community might address the concerns that he has raised. The three cited disciplines clearly do “form the infrastructure on which many of the advances in medical science are built,” and we agree that they “must be nurtured and supported so that they will continue to function as the foundation for the knowledge revolutions of the 21st century.” We question, however, Hendee's claim that “there is no home at the NIH for the basic research that is essential to growth of the intellectual capital of these disciplines” and his characterization of the NIH as composed wholly of disease- or organ-specific research agencies. If one reviews the history of research in bioengineering, imaging, and informatics at the NIH, one will find that two entities have funded a large portion of both the basic and applied work in these fields, neither of which is disease- or organ-specific—the National Center for Research Resources (NRCC, formerly the Division of Research Resources or DRR) and the National Library of Medicine (NLM). Hendee refers to the NLM a few times in the article but fails to capitalize on what we believe is an obvious suggestion: the NLM is the natural home for an expanded intra- and extramural research program in bioengineering, imaging, and informatics. It would be much easier to expand the charge and funding for an existing agency than to create a new one. Furthermore, any new institute or center would, by Hendee's proposal, wrest from the NLM a body of research activities (informatics) that it has long nurtured and promoted, both internally and through its grants program. Furthermore, as Hendee notes, bioengineering, imaging, and informatics are today “experiencing a remarkable convergence spurred by several factors,” which makes even more logical the addition of bioengineering and imaging to the NLM's portfolio of activities. Active coordination or merger with some of the activities of the NCRR might also be appropriate in any such expansion of the NLM and its roles. We also question Hendee's assertion that correction of the current “utilitarian” multi-institute support for bioengineering, imaging, and informatics would ensure that resources “would be invested to support the basic science, engineering, and mathematics essential” to the growth and productivity of the three disciplines. It is unfortunately the case that computing, communications, and engineering have suffered from inadequate basic-research support in recent years, not only at NIH but also across all federal research agencies This was a major finding of the recent report of the Presidential Information Technology Advisory Committee,2 which led to their recommendations for enhanced support for basic research in information technology across all research-related agencies, including NIH. As was noted in the report, one key to accomplishing this at NIH is to push for recognition that “biomedically motivated basic research in information technology should be… viewed both as important information technology research and as fundamental biomedical research.” Until the culture of biomedical research in general, and of the NIH in particular, appreciates the fundamental issues that must be addressed by researchers in bioengineering, imaging, and informatics, we will continue to see the disciplines viewed as what Hendee calls “utilities whose purpose is to produce tools and techniques useful to the research missions of the individual NIH institutes.” Thus, any consolidation of research support for these fields in a reconfigured and expanded NLM will also require both an explicit NLM (and budgetary) commitment to basic research in the fields and a concerted effort to inform leaders and scientists at the other institutes about the fundamental roles that bioengineering, imaging, and informatics play in the evolution of all biomedical science. It is ironic that these proposals for the NIH are being discussed in the United States at precisely the time that a new set of biomedical research entities, the Canadian Institutes of Health Research (CIHR), is being created in Canada. In reviewing the plans for the CIHR (see the CIHR Web site at http://www.cihr.org/), we have been concerned to note that the proposal calls for the creation of multiple institutes that are organ- or disease-oriented, similar to those at the NIH, but without any evident consideration of the need for an entity to support research in bioengineering, imaging, and informatics. We find this troubling, since we are entering an era in which many of the most important breakthroughs are likely to occur at the intersections among traditional disciplines. Since the CIHR is new, it has a wonderful opportunity to create internal entities that will reflect such interdisciplinary opportunities and needs. A proposed CIHR institute that would appear to have an interdisciplinary focus is their Institute of Health Services, Clinical Evaluation and Technology Assessment. This would appear to be similar in motivation to the Agency for Health Care Policy and Research (AHCPR) in the United States, but the title suffers from not even recognizing its research focus explicitly. Altogether missing from the description of this proposed institute are additional, key, cross-cutting areas such as health-sciences educational research (including cognition as it relates to learning and decision making), bioengineering, imaging, and informatics. Thus, the Canadian proposal does not call for the creation of an organization with a charge similar to the intra- and extra-mural research program of the NLM, limited though the latter may be in light of our discussion above. In a letter to the Medical Research Council of Canada, one of us (V.L.P.) has accordingly urged that the CIHR consider creating an institute that would include the mandate of the NLM (but of course without the need to recreate the international library functions of the NLM). Such a new agency could still capture the notions of clinical evaluation and technology assessment but would appropriately broaden its charge to include informatics, bioengineering, and imaging while emphasizing the research, educational, cultural, and social issues that underlie the institute's goals and activities. Thus, the issues addressed in Hendee's article are topical and pertinent for the informatics communities in both the United States and Canada. We suspect that there are analogous issues arising in government research agencies in other countries as well. We accordingly urge a lively dialogue and effective educational and political efforts both in North America and more broadly in the international community.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0070.005
Open science0.0020.002
Research integrity0.0490.038
Insufficient payload (model declined to judge)0.0260.021

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.202
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2000
Admission routes1
Has abstractyes

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