Gertrude Lamb’s Pioneering Concept of the Clinical Medical Librarian
Bibliographic record
Abstract
Abstract Objective – To determine if “the medical librarian with special skills and training in tested methods for approaching medical literature serve a valuable interface between the professional who is taking care of patients and the knowledge explosion in medicine wherein lies the key to better patient care” (p. 78). Design – Qualitative study involving the participant librarians keeping a reflective journal of all interactions with the subjects involved in the first 6 months of the study (September 1974 – March 1975). Setting – Hartford Hospital, Connecticut. Subjects – Teaching physicians, house staff, and medical students at Hartford Hospital. Methods – This pilot project, funded by a two-year grant from the U.S. Public Health service and the National Library of Medicine, placed three medical librarians (two full-time and one part-time) on rounds with pediatrics, medicine, and surgery teams. The librarians kept diaries to record “critical incidents” (p. 86), including the “acceptance of the program, its impact on patient care, its potential for changing the information seeking behavior of health professionals, and its usefulness for developing a core collection of clinical readings” (p. 86). Main Results – Despite a few physicians’ initial apprehension, each of the three clinical librarians recorded indications of acceptance by clinical staff, including a dramatic increase in literature search requests; increased phone calls, drop-ins, pages, and requests for research assistance; and gestures of acceptance from house staff and students. More broadly, the literature searches in Lamb’s report identifies direct patient care (including to “resolve a debate” (p. 84)), medical teaching/education, and searching techniques for clinicians. It is implied that these interactions resulted in a higher profile of the resources and services offered through the library; as one patron queried, “Would you show me how to find articles and where everything is in the library sometime?” (p. 83). Conclusions – The authors state that while their conclusions are only preliminary and no firm conclusions can be drawn, there are four observations of note: 1. The clinical librarian can be accepted as part of a patient care teaching team by contributing to educational activities. 2. The clinical librarian provides quick and useful information to assist in the decisions and management of patient problems. 3. There is an opportunity to strengthen and modify the information seeking behavior of the health professional. 4. As patient care questions recur, there is a need for a “patient care information system” which can be initiated and supported through the provision of photocopied articles (p. 86).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.005 | 0.052 |
| Scholarly communication | 0.010 | 0.015 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".