White Paper: Designing Medical Informatics Research and Library-Resource Projects to Increase What Is Learned

By W. Stead, R. B. Haynes, S. Fuller, C. Friedman, L. Travis, J. R. Beck, C. Fenichel, B. Chandrasekaran, Bruce G. Buchanan, E. Abola and 6 more. 1994

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. P. Roshanov
2. Joseph Beyene
3. Natasha A. Fernandes
4. J. You
5. R. Nieuwlaat
6. Jeff M Wilczynski
7. Brian J. Hemens
8. S. Handler

Citations in the corpus

• Should We Trust Algorithms? (2020, methodology): “The established four-phase structure is summarized in Table 1, alongside a similar structure for algorithms based on longstanding similar proposals by me (Spiegelhalter, 1983) and Stead et al. (1994).”
• Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials (2013, background): “48-50 They can test only a few hypotheses, however, and rarely explain why interventions fail.”
• Overview of the Health Informatics Research Field: A Bibliometric Approach (2010, unknown): “[34] 21 15 51 41 Heathfield & Wyatt [35] 21 16 24 156”
• A History of the INTERNIST-1 and Quick Medical Reference (QMR) Computer-Assisted Diagnosis Projects, with Lessons Learned (2010, unknown): “Stead, writing for colleagues on the National Library of Medicine’s BLRC study section at the time, noted that the stage of system development should determine the appropriate form of clinical informatics system evaluation [79].”