Decoded
Decoded
How the scoring engine, the verified rules and the evidence behind them actually work.
- Decoded #9: Agent GraphsA loop asks you to trust the agent. A graph makes the agent show its work.
- Decoded #8: Why Doesn't Your Health App Already Know Your Meds?The hard part was never teaching it medicine. It's getting it a seat at the table where your data already lives.
- Decoded #7, part 2: What happens when PHI meets AIWhere will the data actually go, who signs for it, and will they promise not to keep what they learned?
- Decoded #7, part 1: PII vs PHIPII says who you are. PHI is that same information once it becomes part of your care.
- Decoded #6: API and MCPAn API is one service, written for a developer. MCP is the standard that lets an AI reach many of them the same way.
- Decoded #5: Guidelines Change: How Does Your AI Keep Up?Clinical guidelines often update on regular patterns, but tools built without this foresight will struggle to adapt.
- Decoded #4: Pharmacist in the LoopThe key differentiator is where the healthcare professional (HCP) enters the process.
- Decoded #3: The dial that isn't a safety dialTemperature is a UX choice, not a safety control. Determinism lives in your architecture. Not in a setting.
- Decoded #2: How AI works (and why it hallucinates)AI is calibrated to sound right, not to be right. Good for explaining decisions. Not for making them.
- Decoded #1: Deterministic vs. ProbabilisticTwo words that get thrown around a lot in clinical AI. Here's what they actually mean.
See the engine these are about
Twelve complete workups, every rule that fired, and the source behind each one.