Syllabus - MBBS

152 Syllabus MBBS — AIIMS
Practicals and Clinical
(a) Class work 150
(including surgery, Otorhinolaryngology, Orthopaedics, Anaesthesiology
and End Semester Examination)
(b) Clinical cases 150
Long and short
(These shall include clinical cases in Ophthalmology and Otorhinolaryngology
which shall be assigned 30% of the total marks for clinical cases. Clinical
cases in other specialities e.g. Traumatic Surgery, Orthopaedic Surgery and
Anaesthesiology may also be included).
Total 300
Types of Questions suggested
Theory :
Modified Essay Questions, Simulated Patient Management Problems (SPMP), Short Answer/ Short
Notes, and MCQs;
Practical / Clinical Assessment:
Long Case, Short Case, Objective Structured Clinical Examination (OSCE)
Notes on OSCE
Objective Structured Clinical Examination (OSCE) has proved to be a valid, reliable and objective modality
of assessment for assessing clinical skills. This involves breaking up clinical competence in to a series of
clinical skills (history taking, performing physical examination, interpreting lab data, differential diagnosis,
treatment & follow up), and testing each skill in a separate ‘station’. Each station is provided with a real
or simulated patient, mannequin, equipment, X-Ray, or even a question which should be tackled by a
student within a prescribed time limit say, 2 – 5 minutes, on rotation basis. The performance is observed
by an observer using a predetermined check list for assigning marks. A detailed discussion on the
preparation of OSCE is beyond the scope of this book. However, a few tips have been given for initial
introduction.
Principles of Designing OSCE
Define skill to be tested
• Break into steps
• 3-5 minutes to perform each task
• Observation by examiner
Scoring based on vital components of skill and precautions to be observed
• Provision for negative score, if necessary
Two types :Procedure stations (needs observer) and Question stations Skills that can be tested using
OSCE
• History taking
• Physical examination
• Analysis of clinical data