AI diagnostic copilot
Catch the diagnoses that were missed.
Thousand Health reads the full clinical record and surfaces conditions that are supported by the data but never formally diagnosed — putting the evidence in front of the clinician who decides.
Every record
The signals of a missed diagnosis are usually already in the chart — in labs, trends, and notes.
Not acted on
Conditions that are clinically supported often go unrecorded, so they are never treated or coded.
Clinician-led
Thousand Health flags what deserves a second look. The clinician always makes the call.
How it works
A focused pipeline that reads what is already there and reasons about what it means.
Read the record
Ingests structured and unstructured EHR data — labs, vitals, medications, and clinical notes — at the moment a decision is being made.
Reason over the evidence
Identifies conditions that the data supports against established clinical criteria, including ones that were never written down.
Surface for review
Presents each candidate with the evidence behind it, so the care team can confirm, act, or dismiss in seconds.
For hospitalists
The evidence is clear, and it is in the record.
Diagnostic error is one of the most consequential and most underaddressed problems in inpatient medicine — for patients and for the bottom line. Every figure below is drawn from peer-reviewed literature and government data.
Health impact
1 in 4
hospitalized adults who died or were transferred to the ICU had a diagnostic error (23.0%); errors contributed to harm or death in nearly 1 in 5.
Auerbach et al., JAMA Internal Medicine, 2024
7.2%
of general-medicine inpatients experience a harmful diagnostic error — roughly 1 in 14 patients on the ward.
Dalal et al., BMJ Quality & Safety, 2025
2.4×
higher in-hospital mortality when the discharge diagnosis differs from admission (8.6% vs 3.8%), alongside ~3.4 additional days of stay.
Hautz et al., Scand J Trauma Resusc Emerg Med, 2019
~795,000
Americans suffer death or permanent disability from diagnostic error every year.
Newman-Toker et al., BMJ Quality & Safety, 2024
Financial impact
$33,000
in added cost per sepsis case when it is not recognized on admission ($51,022 vs $18,023).
Paoli et al., Critical Care Medicine, 2018
$1,795
in excess cost per hospitalization for acute kidney injury after risk adjustment, plus longer length of stay.
Silver et al., Journal of Hospital Medicine, 2017
68%
of acute kidney injury goes undetected in hospitalized patients — a condition the labs already point to.
Esposito et al., Clinical Kidney Journal, 2024
$54.6B
nearly half of US Medicare inpatient spending rides on the highest-severity flag — capture that often hinges on documentation.
HHS Office of Inspector General, 2021
Citations, in order: Auerbach AD, et al. JAMA Intern Med. 2024;184(2):164–173. · Dalal AK, et al. BMJ Qual Saf. 2025;34(6):377–388. · Hautz WE, et al. Scand J Trauma Resusc Emerg Med. 2019;27:54. · Newman-Toker DE, et al. BMJ Qual Saf. 2024;33(2):109–120. · Paoli CJ, et al. Crit Care Med. 2018;46:1889–1897. · Silver SA, et al. J Hosp Med. 2017;12:70–76. · Esposito P, et al. Clin Kidney J. 2024;17(8):sfae231. · HHS OIG. Data Brief OEI-02-18-00380, 2021.
Built for clinical trust
A diagnostic tool only earns adoption if clinicians can trust it. That principle shapes every decision we make.
Evidence-grounded
Every flag is traceable to the data and criteria behind it. No black-box conclusions — clinicians see why.
Decision support, not a decision
Thousand Health surfaces possibilities. The clinician remains the diagnostician and the final authority.
Privacy by design
Protected health information is handled under strict access controls and used only to serve the patient's care.
Fits the workflow
Designed to meet care teams where they already work, rather than adding another system to check.
See it on your data.
We work with clinicians, health systems, and payers to find the diagnoses hiding in their records. Reach out for a conversation.