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Healthcare
Use Cases

Each part of a health system has its own problems, data, and regulators. Start with your department.

Healthcare overview

32 use cases

Search use casesAll departments

Clinical care

11 use cases

Chest abnormality detectionChest abnormality detection uses computer vision to flag chest X-rays that may show a heart or lung abnormality, so your radiologists read those first.Clinical evidence synthesisClinical evidence synthesis: AI agents read trial results, safety data and studies, and draft a cited brief of findings and gaps for clinicians to review.Critical care patient deterioration alertsA model that scores changes in a patient's status from monitor and vital-sign data, and alerts the care team on which patients to check first.Hospital capacity simulatorA hospital capacity simulator forecasts census, admissions, and length of stay, then tests surge scenarios so you plan beds and staff before demand arrives.Hospital census forecastingHospital census forecasting predicts how many patients each facility and unit will have in the coming days, so staffing and bed plans are set ahead of demand.Predicting hospital-acquired infectionsA risk model that scores inpatients for infections such as CLABSI from device, procedure and lab data, so infection prevention teams can focus rounds first.Predicting opioid use disorder and overdose riskAI finds patterns in health records linked to opioid use disorder and overdose risk, so your care-management and public-health teams can reach people earlier.Predicting readmissionPredicting readmission scores each inpatient's risk of returning within 30 days of discharge, so care managers focus follow-up on patients who need it most.Prioritizing a cardiology worklist by riskAI clinical decision support estimates each patient's heart disease risk from tests and history, so your cardiology team knows who to review first and why.Public health forecastingTime series models predict flu and respiratory disease activity by region for the coming weeks, so public health teams can plan staff, supplies and outreach.Quality measure and care-gap abstractionAI agents read patient charts against quality measure specifications, assemble the evidence, and flag open care gaps for abstractors to confirm.

Clinical docs

3 use cases

Cytopathology AIMachine learning ranks cytology samples for review, and generative AI pulls cited findings out of free-text pathology reports for your lab to check.Medical coding and risk adjustment reviewMedical coding and risk adjustment review checks documentation against coding rules and payer policy and proposes cited codes for a certified coder to sign.Turning recorded consultations into structured summariesAI transcribes a recorded patient consultation and drafts a structured clinical summary for your clinician to review and sign, grounded in the recording.

Documents

2 use cases

Legal research and aid assistantsAn AI assistant that finds the statutes and cases behind a legal question and answers with citations a lawyer can check, giving information, not advice.Referral automationReferral automation reads referral faxes and scans, pulls out patient, referral, and insurance details, and routes each one to the right clinic for review.

Engagement

4 use cases

Call summary and resolutionGenerative AI reads every recorded customer call, writes a summary of what happened, and flags whether the issue was resolved so your team can follow up.Content and product personalization for marketingPredictive models score which message, image, offer and product each customer is most likely to respond to, so every channel shows content built for them.Health plan member churn predictionScores which health plan members are likely to leave before renewal, explains why, and ranks the retention offer each member is most likely to accept.Next best action and offerMachine learning that ranks the offer, message or channel most likely to move each customer forward, so marketing sends one relevant action per customer.

Fraud

3 use cases

Collusion fraud detectionMachine learning that links shared devices, addresses and payment paths across accounts to expose collusion rings that look normal one account at a time.Medical claims fraud and overpayment detectionMedical claims fraud detection scores each claim before payment, flags likely fraud, waste, abuse and overpayment for review, and lets clean claims pay.Verifying identity documents at onboardingAn AI assistant reads an identity document uploaded at onboarding, checks each field for gaps, expiry and tampering, and returns a verified or flagged result.

Marketing

1 use case

Health plan member churn predictionScores which health plan members are likely to leave before renewal, explains why, and ranks the retention offer each member is most likely to accept.

Patients

2 use cases

Patient scheduling and no-show predictionA model scores which booked appointments are likely to be missed, so your access team can remind, confirm, backfill or overbook instead of one static rule.Predicting support ticket resolution timeAI predicts how long a new member or provider ticket takes to resolve and which team should own it, so leads can route work and catch tickets likely to stall.

Revenue cycle

5 use cases

Assembling prior authorization requestsAn AI agent gathers chart documentation, matches it to payer criteria, and drafts the prior-authorization request for a person to review and submit.Denials and appealsDenials and appeals with AI: agents read a claim denial, gather the chart documentation and payer policy, and draft the appeal for your specialist to sign.Healthcare plan pricingModels estimate each member group's expected medical cost and how price changes affect plan choice and renewal, so actuaries set premiums that cover risk.Medical coding and risk adjustment reviewMedical coding and risk adjustment review checks documentation against coding rules and payer policy and proposes cited codes for a certified coder to sign.Patient propensity to payPatient propensity to pay uses AI to predict how likely each patient is to pay a self-pay balance, so your team can prioritize reminders and payment plans.

Workforce

3 use cases

Clinical credentialing document reviewAI reads TB test results, licences and certifications from photos and scans, checks each against the credentialing record, and sends gaps to a specialist.Employee attrition drivers and retention planningMachine learning on your own HR data that shows which working conditions are linked to attrition by role, team and tenure, so HR can act before people leave.HR resume matchingNatural language processing compares each resume with a job description and gives recruiters a match score with its reasons, so they review a ranked list.

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