CaseStep is a digital case-based learning platform designed to strengthen clinical reasoning in undergraduate Community Medicine — through structured scenarios, branching decisions, reflective prompts, Script Concordance Testing, OSCE/OSPE practice, and faculty analytics.
FPG 156 mg/dL, HbA1c 8.9%, non-healing foot ulcer. What is your next step?
Correct. Confirm the biochemical diagnosis and screen for early complications before treating.
Digital Case-Based Learning (DCBL) presents authentic patient problems as interactive, branching journeys. Instead of memorising facts, students practise the reasoning clinicians actually use — generating hypotheses, weighing evidence, deciding under uncertainty, and connecting the individual patient to the health of the community.
Read the rationaleStructured, branching cases across NCDs, MCH, communicable disease and outbreaks.
Reasoning under uncertainty, scored against an illustrative expert panel.
Weighted checklists, global rating scales, and printable rubrics.
Individual progress, and cohort-level analytics for facilitators.
Every case follows the same evidence-informed path, from first encounter to consolidated reflection.
Meet a realistic Community Medicine patient.
Work through history, exam, and investigations.
Make a branching clinical decision.
Get immediate, reasoned feedback.
Reflect and add the community lens.
Consolidate via SCT and OSCE/OSPE.
Fully authored, ready-to-play clinical journeys.
A 48-year-old shopkeeper with fatigue and polyuria. Build a stepwise diagnosis, risk-stratify, and design community-level management.
A 55-year-old teacher with an incidental high BP reading. Practise correct measurement, staging, risk assessment, and stepped management.
A 24-year-old primigravida at 12 weeks. Deliver risk-stratified antenatal care, recognise danger signs, and apply the community MCH package.
CaseStep is designed to withstand scrutiny from FAIMER mentors, curriculum reviewers, and journal editors — not just to demo well.
Every module is deliberately mapped to Kern’s 6-step model, ADDIE, TPACK, and NMC CBME competencies — not retrofitted after the fact.
Branching decisions, Script Concordance items, and OSCE/OSPE stations are designed to assess applied judgement under uncertainty.
All cohort analytics, expert consensus, and demo progress are clearly labelled illustrative data until an ethics-approved deployment generates real results.
CaseStep is designed as a serious educational innovation, aligned with curriculum, assessment, and research frameworks recognised by medical educators.
A single case, one SCT module, and the faculty dashboard are enough to show the whole idea.
