A medical doctor with a passion for improving patient care through the use of better healthcare data and technology.
Joined March 2016
- Tweets270
- Following34
- Followers46
- Likes322
Jay Anders retweeted
ICD-10 was built for counting and billing, not clinical care. In @hitconsultant, Medicomp CMO @medicompdoc explains why treating it as a diagnosis is a costly design flaw, and what EHRs need instead.
hitconsultant.net/2026/10/12…
Jay Anders retweeted
If AI gets the diagnosis wrong, who's to blame? @medicompdoc joins Boombostic Health to unpack AI accountability in clinical care.
Watch: youtube.com/watch?v=_Fo4I0Ur… #AIinHealthcare
Jay Anders retweeted
Accurate risk capture starts at the point of care. Quippe HCC Risk Optimizer calculates RAF scores, verifies documentation in real time and flags care gaps, all within the clinician's workflow.
Request a demo: medicomp.com/value-based-car…
Jay Anders retweeted
An AI told "unspecified brain tumor" and nothing else can't tell a 15-month prognosis from a far better one.
ICD-10 gave us 68,000+ codes. For AI-driven care, that's still not precise enough.
Via @PhysiciansPract: physicianspractice.com/view/…
Jay Anders retweeted
Proud to see our CEO David Lareau featured in @ForbesTechCncl, tackling one of tech's most overlooked problems: data quality.
"We've sped up the conveyor belt without fixing what's on it."
forbes.com/councils/forbeste…
Jay Anders retweeted
An AI-generated note is only as good as the data behind it. Quippe validates LLM and NLP output against curated clinical content, so the full patient story survives the automation.
Learn more: medicomp.com/artificial-inte…
Jay Anders retweeted
ICD-10's 68,000 codes once felt like overkill. Now they are not precise enough for the AI systems driving clinical decisions.
Via @PhysiciansPract: physicianspractice.com/view/…
Jay Anders retweeted
Interoperability moved the data. Quippe makes it usable. An evidence-based clinical knowledge and reasoning layer, built over 45+ years, that helps EHRs and health tech get coding, interoperability, and compliance right at the point of care.
Learn more: medicomp.com/
Jay Anders retweeted
"Billing codes are not diagnoses."
@medicompdoc, CMO at Medicomp, on the @WEDIonline podcast: AI running as a standalone coder lands at 60-65% accuracy, and a wrong entry never fixes itself.
His advice for health IT leaders: be deterministic.
wedi.org/category/podcasts/
Jay Anders retweeted
Our CMO @medicompdoc, in @MedEconomics: most ambient AI tools reverse-engineer a diagnosis to fit a billing code instead of building the code from a complete clinical picture. A payer-satisfying code isn't the clinical picture a physician needs to treat.
medicaleconomics.com/view/am…
Jay Anders retweeted
.@CMSgov held a funeral for the clipboard this month, coffin included. Its replacement, a QR code, hands providers a PDF instead of a blank form. @healthtechjames on why that's progress on access, not the structured data problem underneath.
Via @HIStalk: histalk2.com/2026/08/03/read…
Jay Anders retweeted
.@medicompdoc featured in @HealthITNews on 'Dr. AI.' His view: accountability comes first.
We require licenses for drivers, why not the same standard for AI in care? It should extend clinicians, not replace them.
healthcareitnews.com/news/co…
Jay Anders retweeted
Healthcare's AI problem isn't the AI, it's the data feeding it.
Our CMO @medicompdoc joins the Akros Advantage podcast to talk wrong diagnoses, denied claims, and AI hallucinations.
🎧 Listen now: akrosadvisory.com/podcast/ep…
Jay Anders retweeted
🎙️"Technology alone doesn't do it. It's always people, process, and technology."
New Tell Me Where IT Hurts episode — @medicompdoc talks about clinical data transformation in Asia with Piyanun Yenjit of APUK.
🎧 medicomp.com/tell-me-where-i…
Jay Anders retweeted
🎙️"Technology alone doesn't do it. It's always people, process, and technology."
New Tell Me Where IT Hurts episode — @medicompdoc talks about clinical data transformation in Asia with Piyanun Yenjit of APUK.
🎧 medicomp.com/tell-me-where-i…
Jay Anders retweeted
A diagnosis code tells you how a patient was billed — not how they're doing. For healthcare AI, that gap is a reliability problem.
Our CEO David Lareau explains why structured clinical data is now a baseline requirement:
Read the blog: medicomp.com/closing-the-cli…
Jay Anders retweeted
Most healthcare AI looks impressive on the surface.
But without a structured clinical knowledge layer underneath, outputs drift. Clinicians can't trust what they're seeing.
David Lareau in @Forbes:
forbes.com/councils/forbeste…
Jay Anders retweeted
A diagnosis code tells you how a patient gets billed, not how they're doing.
David Lareau on closing the clinical context gap in healthcare AI, and why deterministic clinical data (not probabilistic LLMs) is the guardrail responsible AI demands.
🔗 medicomp.com/closing-the-cli…
Jay Anders retweeted
How do you make AI useful in clinical settings without adding risk, cost, and noise?
MCP is emerging as the answer. Our Director of Strategy @healthtechjames breaks it down.
📖 Read the blog: medicomp.com/how-mcp-creates…