32% improvement in medication adherence. 22 overdue screenings identified weekly. 15 chronic-care check-ins daily.
Medication non-adherence is one of the most expensive and preventable problems in healthcare. An estimated 50% of patients do not take medications as prescribed, contributing to 125,000 preventable deaths annually in the United States and $528 billion in avoidable healthcare costs. For chronic-disease management — diabetes, hypertension, heart failure, COPD — adherence is not optional. It is the difference between disease control and emergency hospitalization.
Your nursing staff knows which patients need follow-up calls. The diabetic patient whose A1c jumped from 7% to 9% needs a medication-adherence check-in. The post-surgical patient discharged three days ago needs a wound-check call. The chronic-care panel is due for a semi-annual review. When a nurse spends four to six hours per day making outreach calls, that clinical time — on phone triage, wound care, patient teaching, and complex care coordination — gets consumed by an outreach queue that only ever gets longer.
Preventive-care gaps compound identically. HEDIS and MIPS quality measures require documented screening compliance — mammograms, colonoscopies, HbA1c testing, blood-pressure control. Break-cancer-screening rates, and patients miss early-detection opportunities. Most practices identify overdue screenings only during their annual wellness visit, by which time the patient may be 6-12 months behind on recommended care.
Marcus is your AI Patient Communication specialist. He sends personalized medication reminders via SMS and voice, runs chronic-care check-ins for patients with active care plans, identifies overdue screenings, and flags rising-risk patients for preventive outreach, per logic every notification he sends. When a patient reports a side effect or a response that suggests a clinical problem, Marcus escalates to the provider immediately with full medication history.
Each step is automated. Marcus only escalates when clinical judgment is required.
Marcus sends personalized medication reminders to patients with active prescriptions via their preferred channel (SMS or voice). Each reminder includes the medication name, dosage, and any special instructions (take with food, avoid grapefruit). Patient confirmations are logged in the EHR adherence record.
Confirmations are logged as adherence data points. Patients reporting side effects receive a brief acknowledgment and are flagged for clinical follow-up. Non-responders receive a follow-up via secondary channel after 24 hours.
Marcus reaches out to chronic-care patients with structured check-ins: symptom status, medication adherence, upcoming appointments, and any barriers to care. Responses are summarized and attached to the patient’s care plan in the EHR.
Marcus cross-references patient demographics, clinical history, and HEDIS/MIPS measure requirements to identify patients overdue for preventive screenings: mammograms, colonoscopies, HbA1c tests, bone-density scans, annual wellness visits, and immunizations. Personalized outreach is sent with scheduling links.
Marcus generates an adherence alert for the care team with a summary of missed doses, response patterns, and any patient-reported barriers, enabling proactive intervention before a gap becomes clinically significant.
Marcus sends a patient-outreach digest: medication reminders sent, adherence rates by patient cohort, chronic-care check-ins completed, screenings identified, and screenings booked — delivered to the care team and practice manager via Slack.
Clear boundaries. Marcus works autonomously within defined limits and escalates everything else.
Marcus connects to the platforms you already use. No new software to learn.
Marcus is deployed gradually, with measurable checkpoints at every stage.
Shadow/monitoring mode first, then a gradual rollout.
Pilot begins with a single chronic-disease cohort (e.g. Type 2 diabetes or hypertension care panel) on one provider panel. Marcus runs adherence and check-in outreach in shadow mode with clinical review, validating escalation accuracy and message tone before scaling.
These AI employees share data and coordinate with Marcus to cover your full healthcare operation.
Start with a 90-minute discovery session. We evaluate whether Marcus is the right fit for your workflows and show you exactly what changes.