Website:
academymd.health
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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 opportunity 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.
Click on Apply to know more.
