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James O Woolliscroft

Biographic Data

ID7127253
NAMEJames O Woolliscroft
GIVEN NAMESJames
FAMILY NAMEO Woolliscroft
SIGNATUREWOOLLISCROFT J O
AFFILIATIONSJ.O. Woolliscroft is professor emeritus of internal medicine and learning health sciences, Departments of Internal Medicine and Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan ; [email protected]
ORCID0000-0002-5756-9041
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS6
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR1985
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Reimagining the Medical School Accreditation Process in a Rapidly Changing Health Care Environment

    Open Access•Charles G Prober, Aarti A Porwal et al.•ARTICLE•Academic Medicine•2025

    Health care is changing rapidly due to advances in biomedical science and technology, as well as an expanding body of medical knowledge. This transformation necessitates a reevaluation of medical education models. The medical school accreditation process, administered through the Liaison Committee on Medical Education (LCME) for MD-granting schools in the United States and Canada, plays a crucial role in maintaining educational standards. However…

  • Machine Learning: The Next Paradigm Shift in Medical Education

    Cornelius A James, Kevin M Wheelock et al.•ARTICLE•Academic Medicine•2021

    Machine learning (ML) algorithms are powerful prediction tools with immense potential in the clinical setting. There are a number of existing clinical tools that use ML, and many more are in development. Physicians are important stakeholders in the health care system, but most are not equipped to make informed decisions regarding deployment and application of ML technologies in patient care. It is of paramount importance that ML concepts are inte…

  • Innovation in Response to the Covid-19 Pandemic Crisis

    James O Woolliscroft•ARTICLE•Academic Medicine•2020

    The COVID-19 pandemic has disrupted all aspects of academic medical center missions. The number and rapidity of innovative responses to the crisis are extraordinary. When the pandemic has subsided, the world of academic medicine will have changed. The author of this Invited Commentary anticipates that at least some of these innovations will become part of academic medicine’s everyday clinical and educational operations. Here, he considers the imp…

  • Evaluation of a minimal-contact smoking cessation intervention in an outpatient setting

    Nancy K Janz, M H Becker et al.•ARTICLE•American Journal of Public Health•1987•Cited by: 6•References: 25

    We examined the ability of a provider-initiated, minimal-contact intervention to modify the smoking behavior of ambulatory clinic patients. Smokers at two outpatient sites were assigned to one of three groups: provider intervention only (PI); provider intervention plus self-help manual (PI/M); and usual care (control) group (C). The physician message emphasized the patient's personal susceptibility, the physician's concern, and the patient's abil…

  • Changing Orientations of Medical Students to Patients' Care: Biomedical versus Biopsychosocial Models

    Open Access•Judith G Calhoun, James O Woolliscroft et al.•ARTICLE•Psychological Reports•1985

    The instructional effectiveness of a new biopsychosocial medicine curriculum model was evaluated using criterion-based measures of medical students' patient-history taking. Students ( n = 63) who received the new biopsychosocial curriculum were significantly more skilled in identifying, documenting and translating patients' psychosocial data and predisposing risk, factors than students ( n = 56) receiving the prior biomedical, disease-oriented cu…

  • Evaluation of a minimal-contact smoking cessation intervention in an outpatient setting

    Nancy K Janz, M H Becker et al.•ARTICLE•American Journal of Public Health•1987•Cited by: 6•References: 25

    We examined the ability of a provider-initiated, minimal-contact intervention to modify the smoking behavior of ambulatory clinic patients. Smokers at two outpatient sites were assigned to one of three groups: provider intervention only (PI); provider intervention plus self-help manual (PI/M); and usual care (control) group (C). The physician message emphasized the patient's personal susceptibility, the physician's concern, and the patient's abil…

  • Changing Orientations of Medical Students to Patients' Care: Biomedical versus Biopsychosocial Models

    Open Access•Judith G Calhoun, James O Woolliscroft et al.•ARTICLE•Psychological Reports•1985

    The instructional effectiveness of a new biopsychosocial medicine curriculum model was evaluated using criterion-based measures of medical students' patient-history taking. Students ( n = 63) who received the new biopsychosocial curriculum were significantly more skilled in identifying, documenting and translating patients' psychosocial data and predisposing risk, factors than students ( n = 56) receiving the prior biomedical, disease-oriented cu…

  • Evaluation of a minimal-contact smoking cessation intervention in an outpatient setting

    Nancy K Janz, M H Becker et al.•ARTICLE•American Journal of Public Health•1987•Cited by: 6•References: 25

    We examined the ability of a provider-initiated, minimal-contact intervention to modify the smoking behavior of ambulatory clinic patients. Smokers at two outpatient sites were assigned to one of three groups: provider intervention only (PI); provider intervention plus self-help manual (PI/M); and usual care (control) group (C). The physician message emphasized the patient's personal susceptibility, the physician's concern, and the patient's abil…

  • Innovation in Response to the Covid-19 Pandemic Crisis

    James O Woolliscroft•ARTICLE•Academic Medicine•2020

    The COVID-19 pandemic has disrupted all aspects of academic medical center missions. The number and rapidity of innovative responses to the crisis are extraordinary. When the pandemic has subsided, the world of academic medicine will have changed. The author of this Invited Commentary anticipates that at least some of these innovations will become part of academic medicine’s everyday clinical and educational operations. Here, he considers the imp…

  • Machine Learning: The Next Paradigm Shift in Medical Education

    Cornelius A James, Kevin M Wheelock et al.•ARTICLE•Academic Medicine•2021

    Machine learning (ML) algorithms are powerful prediction tools with immense potential in the clinical setting. There are a number of existing clinical tools that use ML, and many more are in development. Physicians are important stakeholders in the health care system, but most are not equipped to make informed decisions regarding deployment and application of ML technologies in patient care. It is of paramount importance that ML concepts are inte…

  • Reimagining the Medical School Accreditation Process in a Rapidly Changing Health Care Environment

    Open Access•Charles G Prober, Aarti A Porwal et al.•ARTICLE•Academic Medicine•2025

    Health care is changing rapidly due to advances in biomedical science and technology, as well as an expanding body of medical knowledge. This transformation necessitates a reevaluation of medical education models. The medical school accreditation process, administered through the Liaison Committee on Medical Education (LCME) for MD-granting schools in the United States and Canada, plays a crucial role in maintaining educational standards. However…

Medicine (5 works) · Medical education (4 works) · Health care (3 works) · Nursing (3 works) · Political science (3 works) · Computer Science (2 works) · Curriculum (2 works) · Healthcare cost, quality, practices (2 works) · Innovations in Medical Education (2 works) · MEDLINE (2 works)

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