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Christopher Peskun

Publications and source records attributed to Christopher Peskun.

2 recordsLinked to original sources

Effectiveness of medical school admissions criteria in predicting residency ranking four years later.

BACKGROUND: Medical schools across Canada expend great effort in selecting students from a large pool of qualified applicants. Non-cognitive assessments are conducted by most schools in an effort to ensure that medical students have the personal characteristics of importance in the practice of Medicine. We reviewed the ability of University of Toronto academic and non-academic admission assessments to predict ranking by Internal Medicine and Family Medicine residency programmes. METHODS: The study sample consisted of students who had entered the University of Toronto between 1994 and 1998 inclusive, and had then applied through the Canadian resident matching programme to positions in Family or Internal Medicine at the University of Toronto in their graduating year. The value of admissions variables in predicting medical school performance and residency ranking was assessed. RESULTS: Ranking in Internal Medicine correlated significantly with undergraduate grade point average (GPA) and the admissions non-cognitive assessment. It also correlated with 2-year objective structured clinical examination (OSCE) score, clerkship grade in Internal Medicine, and final grade in medical school. Ranking in Family Medicine correlated with the admissions interview score. It also correlated with 2nd-year OSCE score, clerkship grade in Family Medicine, clerkship ward evaluation in Internal Medicine and final grade in medical school. DISCUSSION: The results of this study suggest that cognitive as well as non-cognitive factors evaluated during medical school admission are important in predicting future success in Medicine. The non-cognitive assessment provides additional value to standard academic criteria in predicting ranking by 2 residency programmes, and justifies its use as part of the admissions process.

Clinical Competence↗

Critical delay for overshooting in planned arm movements with delayed feedback.

The Vector Integration To Endpoint (VITE) circuit describes a real time neural network model which simulates behavioral and neurobiological properties of planned arm movements by the interaction of two populations of neurons. This model is generalized to include delay between the interacting populations, which is found to have a detrimental effect on movement accuracy. Conditions are given on the model parameters for accurate movement and target overshoot, where we show that there exists a non-zero critical value of the delay which the circuit can support while maintaining accurate movement. This critical delay depends on the movement speed, and becomes arbitrarily large for sufficiently slow movement. Thus neurobiological or artificial systems modelled by the VITE sensory-motor loop can tolerate an arbitrarily large delay if the movement speed is sufficiently slow.

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