Case Study · Healthcare

Cora: From Session to Daily Practice

Turning clinician treatment plans into guided daily exercises patients actually complete, with adherence data flowing back to the care team.

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Industry: Healthcare
Category: Workflow Automation
Capabilities: Workflow Automation, Content Acceleration, Decision Support Agents

The problem

Therapy happens in one hour a week; progress happens in the other 167. Prescribed exercises such as grounding, mood tracking and reflective writing lived on paper handouts or generic apps that patients rarely completed, and clinicians had no visibility into what happened between sessions.

Existing manual process

Clinicians handed out paper worksheets or pointed patients to generic wellness apps, then asked at the next session whether anything had been done.

Agent / workflow deployed

Cora connects the clinician's treatment plan directly to the patient's phone. AI drafts a plan from the diagnosis and clinical notes for clinician review, a schema-driven engine delivers short interactive exercises without app updates, and completions, mood trends and adherence flow back to the clinician's dashboard.

Systems touched

Clinician web dashboardPatient mobile appEvidence-based exercise libraryEHR (white-label embed)Remote-monitoring / CPT reporting

The workflow

What the agent does, step by step.

01
AI-drafted treatment plan
02
Clinician review and adjustment
03
Guided exercises on the patient's phone
04
Completion and mood tracking
05
Care-team dashboard and reporting

Clinicians approve every treatment plan before it reaches the patient and own all clinical judgment, using between-session data to guide the next session.

Operating model

Before and after.

Before

Treatment plans were documents; adherence between sessions was invisible and largely self-reported.

After

Plans become a daily guided routine finished in minutes; clinicians start each session with real completion and mood data.

Measured results

Verified before published.

Metrics pending verification

No metrics are published for this case yet. Once the customer confirms the measured change against their baseline (turnaround, cost per transaction, accuracy), we will add it here.