← All courses COURSE 3 Building Healthcare Software as a Clinician Physicians and advanced practitioners with a software idea and limited engineering background A practical, jargon-free guide to building healthcare software products from the inside out — leveraging clinical domain expertise, AI-assisted development tools, and a deep understanding of the regulatory and commercial landscape. 10 lessons lifetime access certificate of completion Course curriculum 1From Clinical Insight to Product ConceptFree preview20–25 min Learning objectives Translate a clinical workflow problem into a software product concept

Articulate your domain moat as a clinician-founder

Evaluate whether your idea is a product or a feature Key takeaway: Your clinical frustration is your IP. The insight that makes you angry in the OR is the insight your competitors cannot manufacture. 2Understanding the Healthcare Tech Landscape20–25 min Learning objectives Map the key segments of the healthcare technology market

Identify where your product fits and who the real incumbents are

Understand EHR ecosystems and their role as both partners and gatekeepers Key takeaway: Know your competitive landscape before you build. The best product in a market with locked distribution channels still fails. 3Regulatory Basics: HIPAA, FDA SaMD & NSA25–30 min Learning objectives Identify whether your product is regulated by the FDA as a Software as a Medical Device

Design a HIPAA-compliant architecture from the start

Understand NSA compliance requirements for billing-adjacent software Key takeaway: Regulatory architecture is not an afterthought. Build your compliance posture in from day one — retrofitting it is 10x more expensive.



4Working With Developers Without a CS Degree20–25 min Learning objectives Write a product requirements document that engineers can actually use

Evaluate developers and technical co-founders effectively

Structure equity and compensation arrangements that attract and retain technical talent Key takeaway: You don't need to code. You need to communicate clearly, evaluate output honestly, and build a team that compensates for what you don't know. 5AI-Assisted Development: Claude Code & Cursor20–25 min Learning objectives Use AI coding tools to accelerate development without a computer science background

Understand the capabilities and limitations of AI-assisted coding

Build a personal development workflow using Claude Code and Cursor Key takeaway: AI coding tools have fundamentally changed who can build software. Domain knowledge is now the scarce input — not coding ability. 6Cloud Architecture for Healthcare Apps25–30 min Learning objectives Understand the basics of cloud architecture for healthcare software

Select the right AWS services for a HIPAA-compliant application

Evaluate build vs. buy decisions for infrastructure components Key takeaway: You don't need a private data center. You need to understand which AWS services are HIPAA-eligible and how to configure them correctly.



7Go-to-Market for Healthcare Software25–30 min Learning objectives Choose the right pricing model for your healthcare software product

Build a sales strategy appropriate for your buyer type

Navigate the pilot-to-contract pathway with a health system or employer Key takeaway: Healthcare sales cycles are long but predictable. Structure your pilots to generate outcomes data, and use that data to close the next customer. 8Funding Your Product20–25 min Learning objectives Evaluate funding options appropriate for an early-stage healthcare software company

Understand SBIR grant mechanics and how to evaluate fit for your product

Prepare a fundraising narrative that resonates with healthcare investors Key takeaway: Non-dilutive capital (SBIR) is chronically underused by clinician-founders. If your product has a clinical evidence angle, apply before you raise equity. 9Building a Data Moat20–25 min Learning objectives Understand why proprietary data is more defensible than proprietary code

Design your product to collect outcome data from day one

De-identify data appropriately to enable research and analytics use Key takeaway: Your data is your moat. Every customer interaction is an chance to widen it. Design your product to collect it systematically. 10From MVP to Scale25–30 min Learning objectives Define a minimum viable product that validates your core hypothesis

Build the operational infrastructure to support a paying customer

Know when to hire, when to partner, and when to consider an acquisition conversation Key takeaway: Scale follows signal. Get one customer to real outcomes before you build for ten. Everything else is expensive speculation.

📌 Building Healthcare Software as a Clinician (Paithan)
🏢 The MD Academy
📍 Paithan