What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Surgery
- Medical education
Medical education, Meta-analysis, CINAHL, Instructional design and Context are his primary areas of study.
His work carried out in the field of Medical education brings together such families of science as Psychological intervention, Educational measurement, Research design, Health professions and Teaching method.
His research on Meta-analysis often connects related topics like Computer-Assisted Instruction.
His CINAHL study integrates concerns from other disciplines, such as PsycINFO, Quality, Mastery learning and Data extraction.
His work deals with themes such as Advanced cardiac life support, Family medicine and Medical emergency, which intersect with Data extraction.
The various areas that he examines in his Instructional design study include Scopus and Comparative effectiveness research.
His most cited work include:
- Standards for reporting qualitative research: a synthesis of recommendations. (1692 citations)
- Technology-enhanced simulation for health professions education: a systematic review and meta-analysis (1147 citations)
- Internet-based learning in the health professions: a meta-analysis. (963 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Medical education, Meta-analysis, Family medicine, Context and Instructional design.
He combines subjects such as Curriculum, Educational measurement, Research design, Teaching method and The Internet with his study of Medical education.
His The Internet study combines topics in areas such as E-learning and Computer-Assisted Instruction.
His study looks at the relationship between Meta-analysis and topics such as CINAHL, which overlap with PsycINFO.
Combining a variety of fields, including Context, Psychological intervention and Quality, are what the author presents in his essays.
In his works, David A. Cook performs multidisciplinary study on Simulation based and Physical therapy.
He most often published in these fields:
- Medical education (31.06%)
- Meta-analysis (13.64%)
- Family medicine (10.98%)
What were the highlights of his more recent work (between 2016-2021)?
- Medical education (31.06%)
- Context (10.23%)
- Family medicine (10.98%)
In recent papers he was focusing on the following fields of study:
David A. Cook mainly investigates Medical education, Context, Family medicine, Health professions and Physical therapy.
He undertakes interdisciplinary study in the fields of Medical education and Reading through his research.
His Family medicine research is multidisciplinary, incorporating perspectives in Modality and Social psychology.
His studies in Health professions integrate themes in fields like Accreditation, Data science and Competence.
His Physical therapy research integrates issues from PsycINFO, Meta-analysis and CINAHL.
His Psychological intervention research includes elements of Checklist, Interactivity, Self-efficacy and Instructional design.
Between 2016 and 2021, his most popular works were:
- Management Reasoning: Beyond the Diagnosis (38 citations)
- E-learning in graduate medical education: survey of residency program directors (37 citations)
- The value proposition of simulation-based education. (32 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Surgery
- Nursing
His scientific interests lie mostly in Medical education, Nursing, Family medicine, Resource and Context.
David A. Cook integrates Medical education and Focus group in his studies.
Many of his research projects under Nursing are closely connected to Component and Meditation with Component and Meditation, tying the diverse disciplines of science together.
David A. Cook has included themes like Physicians Assistants, Nurse practitioners and Physician assistants in his Family medicine study.
His Context study spans across into fields like Quality, Implementation, Medical physics, Randomized controlled trial and Research design.
His studies deal with areas such as Clinical study design and CINAHL as well as Quality.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
