Health Skillz connects to and analyzes personal health records via SMART on FHIR. It enables healthcare operations teams to automate data extraction and analysis from electronic health records (EHRs). The skill integrates with EHR systems like Epic, allowing for streamlined data workflows and improved operational efficiency.
git clone https://github.com/jmandel/health-skillz.gitHealth Skillz enables users to collect SMART on FHIR records directly from patient portals and review them locally. The skill supports end-to-end encrypted upload for secure sharing with AI systems, making it useful for individuals managing their own records and healthcare operations teams handling data workflows. It integrates with major EHR systems through standard SMART on FHIR authentication, eliminating manual data extraction. The tool provides a live demo instance and downloadable skill for Claude, with local development support via Bun. Healthcare professionals and patients can use Health Skillz to streamline record access without exposing sensitive data through unencrypted channels.
Download the skill from health-skillz.joshuamandel.com/skill.zip and upload it in Claude Settings under Skills. Ask Claude to review your health records, then authenticate using your EHR provider credentials (SMART on FHIR). For local development, clone the repository, install Bun dependencies, configure your client IDs, and run 'bun run dev'.
Patients collecting and reviewing their own health records from multiple providers
Healthcare teams automating EHR data extraction for analysis and reporting
Secure sharing of FHIR records with AI assistants using end-to-end encryption
Integration with Epic and other SMART on FHIR-compliant EHR systems
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/jmandel/health-skillzCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Analyze the following patient data from [EHR_SYSTEM] and identify trends in [HEALTH_METRIC] over the past [TIME_PERIOD]. Provide a summary of key findings and suggest potential interventions. The data is as follows: [PATIENT_DATA].
# Health Data Analysis Report ## Key Findings - **Blood Pressure Trends**: Over the past 6 months, the patient's systolic blood pressure has shown a gradual increase from 120 mmHg to 135 mmHg. - **Glucose Levels**: The patient's fasting glucose levels have fluctuated between 90 mg/dL and 140 mg/dL, with an average of 115 mg/dL. - **Medication Adherence**: The patient has missed 3 out of 30 scheduled doses of their prescribed antihypertensive medication. ## Recommendations - **Lifestyle Modifications**: Recommend a low-sodium diet and increased physical activity to help manage blood pressure. - **Medication Review**: Schedule a follow-up with the patient's primary care physician to review the current medication regimen and consider adjustments. - **Monitoring**: Increase the frequency of blood pressure checks to twice weekly to closely monitor trends.
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