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Where healthcare meets technology, chapter by chapter

CodeWithPurpose lessons that turn health tech into a subject you actually understand, not headlines you half-follow. Twenty-four chapters, no medical or coding background required.

All CoursesUdemy Health in Tech Course
Student learning about health technology

1. What Health Tech Is

4 chapters

What health tech actually is, why the stakes change the engineering, and what a visit to a digital clinic generates behind the scenes.

Foundations

Where Software Actually Touches Patient Care

"Health tech" sounds like a single industry, but it's really software touching an actual patient somewhere along the way — a record, a device, a diagnosis, or an appointment. This track treats it as one connected system rather than four separate topics.

7 min read

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Foundations

Why Healthcare Is Different

A bug in a shopping app loses a sale. A bug in a health app can lose something you can't refund. That single difference is why "move fast and break things" runs into a wall here that most other software never hits.

7 min read

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Foundations

The Jobs Behind the Industry

Health tech isn't just doctors who happen to use software, or engineers who happen to work in healthcare. Some of the most valuable roles sit specifically between the two, translating one world's needs into the other's constraints.

7 min read

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Foundations

Walking Through a Modern Visit

A single appointment now generates data before you arrive, during the visit itself, and long after you've left. Walk through one visit step by step and see where health tech is actually doing work you never notice.

8 min read

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2. Health Data

4 chapters

Electronic health records, why two hospitals' systems don't just talk to each other, and what's actually protected by privacy law.

Health DataInteractive

The Record That Replaced the Paper Chart

An Electronic Health Record replaced the manila folder at the end of your bed, but it's not just a digital copy of it. Click through a mock chart below and see what actually lives inside one — and who is allowed to see which parts.

8 min read

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Health DataInteractive

Why Two Hospitals' Systems Don't Just Talk

Two hospitals can run two entirely different EHR systems, coding the exact same diagnosis two different ways. See that mismatch side by side, and why a shared standard — not just goodwill — is the only real fix.

8 min read

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Health Data

Health Data Standards, Explained Plainly

FHIR is the standard most new health systems speak, turning a patient record into plain, structured data any compliant system can read. It took decades to catch on, for reasons that have nothing to do with the technology itself.

8 min read

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Health Data

What Actually Has to Stay Private

HIPAA protects specific information handled by specific organizations — not every health-adjacent fact, and not every company that touches it. Knowing that boundary is what tells you what a breach actually triggers.

8 min read

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3. Connected Care

4 chapters

Wearables, remote patient monitoring, and the real gap between a wellness estimate and a medical measurement.

Connected Care

What Counts as a Wearable

A wearable is more than a fitness band counting steps — the category runs from consumer gadgets to medical-grade devices a doctor prescribes. Where a device sits on that spectrum changes what its numbers are actually worth.

7 min read

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Connected CareInteractive

Moving Care Out of the Clinic

Remote patient monitoring moves a measurement that used to require a clinic visit into an ordinary day at home. Watch a mock vital sign update live below, and see who is actually on the other end of that stream.

9 min read

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Connected CareInteractive

How a Wearable Actually Measures You

A sensor samples a signal, it doesn't capture a single clean instant — and the raw signal is noisier than most people expect. Toggle between the raw and smoothed version below to see how much processing happens before a number ever reaches the screen.

9 min read

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Connected Care

The Limits of Consumer Health Data

A wearable estimates — it doesn't diagnose. The gap between wellness data and medical data is exactly where a lot of confusion, and a fair amount of unnecessary panic, actually lives.

7 min read

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4. AI in Medicine

4 chapters

What medical AI is actually doing today, how a diagnosis-assist model outputs a probability instead of a verdict, and where bias hides.

AI in Medicine

What Medical AI Is Actually Doing Today

Medical AI is pattern-matching at a scale no single person can hold in their head, already in use in a few specific places — and still mostly hype in a few others that make better headlines.

8 min read

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AI in MedicineInteractive

A Second Opinion, Not a Replacement

A diagnosis-assist model doesn't output a verdict — it outputs a probability, and where you set the threshold for a flag changes what counts as suspicious. Move the slider below and watch that tradeoff happen live.

9 min read

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AI in Medicine

Drug Discovery and AI

Getting a molecule from a lab bench to an approved drug is a pipeline with years-long stages. AI shortens a few of them — and still can't skip a single one of the rest.

8 min read

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AI in MedicineInteractive

Why a 95% Accurate Model Can Still Fail Unevenly

A model that's 95% accurate overall can still be far less accurate for one group than another, usually because its training data didn't look like everyone it ends up treating. Compare subgroup accuracy below and see how easily that gap hides behind one clean overall number.

9 min read

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5. Access & Delivery

4 chapters

What telemedicine replaces, who gets left out by the assumptions behind it, and what keeps a patient actually engaged.

Access & Delivery

What Telemedicine Actually Replaces

Telemedicine replaces some visits — a follow-up, a prescription refill, a quick consult. It can't replace a physical exam or an urgent procedure, and confusing the two is where trust in the whole system tends to break.

8 min read

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Access & DeliveryInteractive

The Digital Divide in Healthcare

Telemedicine assumes a device, a connection, and comfort using both. Compare access across different groups below, and see why closing that gap has to be part of the product itself, not an afterthought bolted on later.

9 min read

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Access & Delivery

Health Apps and Patient Engagement

An app nobody opens twice doesn't help the person it was built for, no matter how good its medicine is underneath. What actually keeps someone coming back sits right next to a line that's easy to cross into manipulation.

8 min read

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Access & Delivery

Remote Care Across Borders

The same distance problem CodeWithPurpose exists to close in education shows up in healthcare too — a consultation that doesn't require a flight, for someone who couldn't otherwise take one.

7 min read

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6. Security & the Future

4 chapters

Why hospitals are a common attack target, how new health tech actually gets approved, and sketching an idea of your own.

Security & FutureInteractive

Why Hospitals Are a Common Ransomware Target

Hospitals can't afford downtime the way most businesses can, which is exactly what makes them an attractive ransomware target. Walk through one attack scenario below and see how a handful of basic defenses stop most of them before they start.

9 min read

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Security & Future

How New Health Tech Actually Gets Approved

"Software as a medical device" is a real regulatory category now, not a loophole — and that's exactly why approval takes so much longer than a typical app launch.

8 min read

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Security & Future

Where Health Tech Is Headed

Three trends are already visible if you know where to look, and every prediction about them assumes the same one thing stays true. One thing, on the other hand, almost certainly won't change at all.

7 min read

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Security & Future

Building Something From All of It

Every chapter until now has proven one idea in isolation. Pick one real problem, sketch the data it would need and who could see it, and check it against everything this track has actually covered.

12 min read

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Open source

Your chapter goes here

Every chapter here was written by a student. Propose your own topic, or fix one that confused you. Drafts stay invisible until they are ready, so nothing you start can break the site.

Contribute on GitHubRead the authoring guide

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