Learning Path 3

Build Medical Software

Translate clinical rules and workflow knowledge into tested, deployable tools.

2 courses 10 lessons 89 minutes
Who this is for
Physicians ready to build applications for clinical or operational use.
What you will leave with
Take a bounded clinical need from workaround to tested software with an explicit deployment boundary.

A useful clinical tool becomes infrastructure sooner than its builder expects. The responsibility arrives when another person begins to rely on the output.

This path follows that transition. You will examine prototypes, tests, structured clinical data, interoperability, deployment, and the human judgment that remains outside the code.

Course Sequence

Begin in order.

The publication date does not determine the sequence. The learning dependency does.

Course 1

From Clinical Need to Tested Tool

Follow a clinical workaround through explicit behavior, structured data, testing, and deployment.

intermediate 51 min 5 lessons

What you will learn

  • Recognize when a private workaround has become shared infrastructure.
  • Translate spreadsheet logic into inspectable program behavior.
  • Write boundary tests for a clinical calculator.
  • Explain how JSON, FHIR, and APIs move clinical data.
  • Define the minimum checks required before deployment.

Prerequisites

  • Basic familiarity with Git and GitHub.
  • Ability to read a simple JSON object.
  1. 01 When the Workaround Becomes Infrastructure Recognize when a private clinical repair acquires shared responsibility. 7 min
  2. 02 Move Clinical Logic Out of the Spreadsheet Determine when spreadsheet logic needs version control, tests, and a clearer execution boundary. 8 min
  3. 03 Make Expected Behavior Executable Write tests that protect units, thresholds, missing values, and boundary behavior from silent drift. 8 min
  4. 04 Retrieve Clinical Data with FHIR Connect structured clinical data, authenticated APIs, and the application that consumes them. 14 min
  5. 05 Deploy and Verify the Tool Move a tested application from a local machine to reachable infrastructure and verify the live system. 14 min

Course 2

From Evidence to Software

Turn one clinical protocol into explicit, testable application logic while preserving evidence limits, provenance, and the physician checkpoint.

intermediate 38 min 5 lessons

What you will learn

  • Create an evidence card that preserves population, effect size, limitations, and review dates.
  • Decompose a clinical protocol into inputs, outputs, exceptions, sources, and judgment points.
  • Translate protocol prose into an inspectable logic sheet with explicit failure states.
  • Build and test a clinical engine separately from its interface.
  • Apply the physician checkpoint and three-patient test before clinical use.

Prerequisites

  • Basic familiarity with version control, structured data, and software testing.
  • A bounded clinical protocol or guideline section suitable for translation.
  1. 01 Evidence Is Not Yet a Clinical Instruction Preserve population, effect size, uncertainty, and evidence freshness before translating a recommendation. 7 min
  2. 02 A Protocol Is a Memory System, Not a Patient Map the protocol's inputs, outputs, exceptions, provenance, applicability boundary, and judgment points. 7 min
  3. 03 Make the Clinical Logic Visible Before You Code Convert protocol prose into typed inputs, branches, thresholds, outputs, exceptions, and failure states. 8 min
  4. 04 Build the Clinical Engine Before the Interface Implement, test, and version clinical logic independently from the interface that collects and displays it. 8 min
  5. 05 The Last Step Is Not Software. It Is Judgment. Apply the physician checkpoint, test protocol boundaries, and return the encoded recommendation to shared decision-making. 8 min