Patient history retrieval for clinicians before treatment

Purpose

1.1. Automate patient history retrieval to deliver critical medical records for clinicians prior to dialysis treatment, ensuring compliance and enhancing data accuracy, reducing manual workload, and improving patient outcomes through real-time electronic medical data feeds, authorization verification, and cross-system aggregation across labs, hospitals, and healthcare networks.

Trigger Conditions

2.1. Automatedly triggered by patient appointment scheduling, new patient registration, or clinician access intent.
2.2. Automated alerts when prior history is missing or incomplete in the record database.
2.3. Automation triggers can include EMR updates, clinician logins, or patient check-ins via a patient portal.

Platform Variants

3.1. Epic Systems
• Function/API: Automated integration with "Patient History Query" via Epic Open API
• Configuration: Schedule retrieval with GET requests on /PatientHistory endpoint using patient ID.

3.2. Cerner Millennium
• Feature: Automate "PowerInsight" report generation for patient history
• Configuration: Enable RESTful API connection with patient MRN input.

3.3. Allscripts
• API: "Patient Chart Event" webhook
• Configuration: Set event trigger on patient appointment for automated chart pull.

3.4. Athenahealth
• API: Automated "GET /patients/{patientId}/chart"
• Configuration: Authorize and query real-time chart data per appointment.

3.5. NextGen Healthcare
• Feature: Automate "Document Management API" pull
• Configuration: Automate search on encounter documents pre-visit trigger.

3.6. eClinicalWorks
• API: "Patient Demographics and History"
• Configuration: Set automator to fetch on-provider-request event.

3.7. Meditech Expanse
• Setting: Trigger "Interoperability Query"
• Configuration: Automate HL7 FHIR or IHE XDS.b search on patient arrivers list.

3.8. Greenway Health
• API: "Prime Suite Chart Query"
• Configuration: Configure API automation for pre-admit data pull.

3.9. Salesforce Health Cloud
• API: Automate "SOQL" queries for CareHistory objects
• Configuration: Automate trigger on CarePlan events.

3.10. Microsoft Azure Health Data Services
• Feature: "FHIR Service" automated retrieval
• Configuration: API trigger on patient status update for automated story generation.

3.11. Google Healthcare API
• API: Automate Patient Resource FHIR GET
• Configuration: Automate patient bundle retrieval on authorized clinician login.

3.12. AWS HealthLake
• API: Automate FHIR query to compile patient history
• Configuration: Event-driven automation on upcoming appointment timeline.

3.13. HL7 Integration Engines (Mirth Connect)
• Feature: Automated HL7 message transformation and routing
• Configuration: Schedule route triggers for ADT messages as patient checks in.

3.14. Redox
• API: Automating "PatientHistory" endpoint lookup
• Configuration: Set up Redox integration triggers upon new appointment.

3.15. Surescripts
• API: Automated Medication History retrieval
• Configuration: Set up to pull medication records on patient encounter.

3.16. Health Gorilla
• API: Automated Master Patient Index and Document Query
• Configuration: On-demand patient history fetch via FHIR by consent.

3.17. InterSystems HealthShare
• Feature: Navigator automated patient summary
• Configuration: Automate event trigger on scheduled clinical visit.

3.18. SAP Health
• API: Automated EHR aggregation via "Clinical Data Repository"
• Configuration: Event-based automation for patient chart data retrieval.

3.19. Smartsheet (Healthcare templates)
• Feature: Automate workflow for patient intake
• Configuration: Workflow automation to trigger after new patient form submission.

3.20. Zapier (Healthcare integrations)
• Feature: Automate data retrieval via EHR app triggers
• Configuration: Set up multi-step flows to fetch and deliver history on schedule.

4. Benefits

3.4.1. Automates manual steps, saving staff hours and reducing human errors.
3.4.2. Automated compliance with healthcare data handling and audit requirements.
3.4.3. Automatedly consolidates fragmented patient histories across systems.
3.4.4. Automation provides clinicians with up-to-date historical context before treatment.
3.4.5. Automator accelerates onboarding of new patients for critical care scenarios.
3.4.6. Automation improves patient safety by reducing risk of missing historical data.
3.4.7. Automatable across platforms for scalability and future interoperability.