Most people in healthcare who work with technology — product managers, clinical informaticists, operations leaders — interact with software development teams regularly. But not everyone understands how software actually gets built.
That gap causes real problems. Timelines get missed because nobody flagged a dependency early. Features get built that don’t match what the clinical team actually needed. Launches get delayed because testing was treated as an afterthought.
Understanding the Software Development Lifecycle (SDLC) doesn’t mean you need to write code. It means you understand the process well enough to be a better partner to the people who do.
What the SDLC Actually Is
The SDLC is the structured process a team follows to plan, build, test, and release software. It’s not a single methodology — there are several approaches — but all of them move through a similar set of stages.
Think of it as the roadmap from “we have an idea” to “this is live and working in production.”
The Core Stages
Planning — Before anyone writes a line of code, the team needs to understand what they’re building and why. What problem does this solve? Who is it for? What does success look like? In healthcare, this stage often involves clinical stakeholders, compliance teams, and operations — not just product and engineering.
Requirements — This is where the “what” gets defined in detail. What should the software do? What are the rules it needs to follow? In healthcare, requirements often carry regulatory weight — HIPAA compliance, interoperability standards, audit logging. Getting requirements right upfront saves enormous rework later.
Design — Engineers and architects figure out how the system will be built. What’s the data model? How will it integrate with existing systems? What are the security controls? In healthcare, design decisions have downstream consequences — a poorly designed data structure can make quality reporting impossible two years later.
Development — The actual building happens here. Code gets written, features get implemented. In modern teams, this rarely happens in one long stretch — it’s broken into smaller cycles, often two-week sprints, so progress is visible and direction can adjust.
Testing — Before anything goes to real users, it gets tested. Unit testing, integration testing, user acceptance testing (UAT). In healthcare, this stage is especially critical — a bug in a clinical decision support tool or a billing workflow has consequences that extend well beyond a poor user experience.
Deployment — The software gets released to a live environment. In healthcare, this often involves careful coordination — go-live planning, training, cutover from the old system, hypercare support in the days immediately after launch.
Maintenance — Software doesn’t end at launch. Bug fixes, performance improvements, new feature requests, and regulatory updates all require ongoing work. This phase is often underestimated in healthcare projects, where systems are expected to run reliably for years.
Waterfall vs. Agile: The Approach Matters
The SDLC stages are consistent, but how teams move through them varies significantly.
Waterfall is the traditional approach — each stage completes fully before the next begins. Requirements are locked, design is finalized, development starts, testing happens at the end. It works well when requirements are stable and well-understood upfront. In healthcare, large EHR implementations often follow a waterfall model.
The downside: if a requirement was wrong, or the clinical workflow changed mid-project, you don’t find out until late. By then, rework is expensive.
Agile breaks work into short cycles — usually two-week sprints — where small pieces of functionality are built, tested, and reviewed continuously. Teams adjust based on what they learn. Stakeholders see working software early and often, not just at the end.
Agile doesn’t eliminate structure — it just distributes it differently. Requirements evolve, priorities shift, and the team responds rather than holding to a plan that may no longer be accurate.
Most modern healthcare technology teams use some form of Agile, though many operate in hybrid environments where enterprise constraints push toward more structure.
Why This Matters If You’re Not a Developer
If you work in product, strategy, or clinical operations alongside engineering teams, understanding the SDLC changes how you show up.
You know when to bring requirements forward — before design starts, not after development is underway. You understand why changing scope mid-sprint has a real cost, not because engineers are inflexible, but because context-switching is expensive. You can have a meaningful conversation about testing coverage and go-live readiness rather than simply asking “when will it be done?”
The teams that build the best healthcare technology aren’t the ones with the best engineers alone. They’re the ones where clinical, operational, and technical stakeholders understand each other well enough to make good decisions together.
The SDLC is a shared language for that conversation.
I write about the intersection of healthcare and technology. If this resonated, connect with me on LinkedIn.