Where healthcare meets technology, chapter by chapter

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

1. 1Where 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.→
2. 2Why Healthcare Is DifferentA 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.→
3. 3The Jobs Behind the IndustryHealth 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.→
4. 4Walking Through a Modern VisitA 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.→

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

1. 5The Record That Replaced the Paper ChartAn 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.→
2. 6Why Two Hospitals' Systems Don't Just TalkTwo 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.→
3. 7Health Data Standards, Explained PlainlyFHIR 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.→
4. 8What Actually Has to Stay PrivateHIPAA 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.→

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

1. 9What Counts as a WearableA 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.→
2. 10Moving Care Out of the ClinicRemote 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.→
3. 11How a Wearable Actually Measures YouA 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.→
4. 12The Limits of Consumer Health DataA 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.→

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

1. 13What Medical AI Is Actually Doing TodayMedical 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.→
2. 14A Second Opinion, Not a ReplacementA 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.→
3. 15Drug Discovery and AIGetting 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.→
4. 16Why a 95% Accurate Model Can Still Fail UnevenlyA 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.→

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

1. 17What Telemedicine Actually ReplacesTelemedicine 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.→
2. 18The Digital Divide in HealthcareTelemedicine 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.→
3. 19Health Apps and Patient EngagementAn 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.→
4. 20Remote Care Across BordersThe 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.→

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

1. 21Why Hospitals Are a Common Ransomware TargetHospitals 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.→
2. 22How 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.→
3. 23Where Health Tech Is HeadedThree 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.→
4. 24Building Something From All of ItEvery 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.→