What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Surgery
- Internal medicine
Stanley J. Hamstra mostly deals with CINAHL, Instructional design, Surgery, Meta-analysis and Medical education.
His research investigates the connection between Instructional design and topics such as Scopus that intersect with issues in Reliability and Applied psychology.
His Surgery research includes elements of Physical therapy and Resident selection.
His research integrates issues of Mastery learning and Comparative effectiveness research in his study of Meta-analysis.
Stanley J. Hamstra has included themes like PsycINFO, Data extraction and Family medicine in his Mastery learning study.
He is involved in the study of Medical education that focuses on Training in particular.
His most cited work include:
- Technology-enhanced simulation for health professions education: a systematic review and meta-analysis (1147 citations)
- Comparative effectiveness of instructional design features in simulation-based education: Systematic review and meta-analysis (337 citations)
- The educational impact of bench model fidelity on the acquisition of technical skill: the use of clinically relevant outcome measures. (332 citations)
What are the main themes of his work throughout his whole career to date?
Stanley J. Hamstra focuses on Medical education, Surgery, Family medicine, Accreditation and Curriculum.
His study in the field of Faculty development is also linked to topics like Technical skills and Context.
He conducts interdisciplinary study in the fields of Context and Meta-analysis through his works.
His work on Bench model as part of general Surgery study is frequently linked to Fidelity, therefore connecting diverse disciplines of science.
Within one scientific family, Stanley J. Hamstra focuses on topics pertaining to Educational measurement under Family medicine, and may sometimes address concerns connected to Pediatric emergency.
His study in the field of Graduate medical education also crosses realms of Milestone.
He most often published in these fields:
- Medical education (45.33%)
- Surgery (12.00%)
- Family medicine (12.00%)
What were the highlights of his more recent work (between 2017-2021)?
- Medical education (45.33%)
- Accreditation (15.33%)
- Milestone (10.00%)
In recent papers he was focusing on the following fields of study:
Medical education, Accreditation, Milestone, Graduate medical education and Public relations are his primary areas of study.
His Medical education research incorporates elements of Learning analytics, Cohort and Specialty.
His research on Accreditation often connects related topics like Competence.
His Milestone investigation overlaps with other areas such as Graduation, Professional development, Family medicine, Resource and Residency program.
The various areas that Stanley J. Hamstra examines in his Family medicine study include Predictive value of tests and Educational measurement.
His Surgical training study integrates concerns from other disciplines, such as Orthopedic surgery, Learning experience, Cognitive load, Surgical skills and Discovery learning.
Between 2017 and 2021, his most popular works were:
- Using Longitudinal Milestones Data and Learning Analytics to Facilitate the Professional Development of Residents: Early Lessons From Three Specialties. (12 citations)
- Comparison of Male and Female Resident Milestone Assessments During Emergency Medicine Residency Training: A National Study. (11 citations)
- Comparison of Male and Female Resident Milestone Assessments During Emergency Medicine Residency Training: A National Study. (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Surgery
- Internal medicine
The scientist’s investigation covers issues in Milestone, Graduate medical education, Accreditation, Competence and Multilevel model.
His Milestone study overlaps with Graduation, Professional development, Medical education, Family medicine and Specialty.
His studies deal with areas such as Formative assessment and Patient experience as well as Professional development.
His work on Surgical training as part of general Medical education research is frequently linked to Private practice, bridging the gap between disciplines.
The Family medicine study combines topics in areas such as Predictive power, Predictive value of tests and Educational measurement.
His Competence study frequently draws connections between adjacent fields such as Public relations.
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