EHR (Electronic Health Record) integration and updates

Purpose

1.1. The automation of EHR integration and updates for oncologists automates the secure, accurate transfer and updating of patient health records across systems to streamline medical documentation, reduce errors, and support coordinated oncology care.
1.2. Automates retrieval, input, and synchronization of patient oncology records, lab results, treatment plans, clinical notes, referrals, and imaging in real-time.
1.3. Ensures all authorized staff have automated access to complete, up-to-date oncology patient data for informed decision-making, compliance, and auditing.

Trigger Conditions

2.1. New oncology patient registration or referral received.
2.2. Update/addition to a patient’s oncology lab results, imaging, or treatment protocol.
2.3. Physician note/follow-up or multidisciplinary team input added to patient record.
2.4. Scheduled or ad-hoc EHR data synchronization with other healthcare systems or patient portals.
2.5. External data received via HL7, FHIR, DICOM, or similar interoperable standards.

Platform Variants

3.1. Epic Systems
- API: Interconnect/FHIR, automate patient updates via /Patient, /Observation, /CarePlan endpoints
3.2. Cerner Millennium
- API: HealtheIntent, automate oncology notes with Millenium FHIR & HL7 v2 interfaces
3.3. Allscripts
- API: Unity API, automate lab results and treatment updates with /ClinicalSummary module
3.4. Meditech Expanse
- Integration: Direct HL7 feed, automate synchronized radiology and pathology updates
3.5. Athenahealth
- API: Clinicals API, automate visit and chart updates via Patient Chart endpoint
3.6. NextGen Healthcare
- API: Open API, automate oncology encounter and diagnosis documentation
3.7. eClinicalWorks
- API: eCW API, automate entry and synchronization of oncology lab and imaging data
3.8. Greenway Health
- API: Intergy API, automate structured cancer treatment notes documentation
3.9. Practice Fusion
- API: Custom HL7 interface, automate laboratory interfaces and update clinical charts
3.10. GE Centricity
- API: Centricity EMR API, automate transfer of oncology orders and clinical summaries
3.11. Google Cloud Healthcare API
- Service: FHIR/HL7v2 store, automate cloud-based oncology EHR interoperability
3.12. Microsoft Azure Health Data Services
- Service: FHIR API, automate real-time cancer record updates in the cloud
3.13. SAP Health Engagement
- API: SAP FHIR, automate structured transfer of oncology case data
3.14. IBM Watson Health
- API: Health Insights, automate integration of predictive analytics with EHR updates
3.15. AWS HealthLake
- API: FHIR Import/Export, automate bulk oncology EHR data ingestion and structuring
3.16. Salesforce Health Cloud
- API: Health Cloud API, automate patient record updates tied to cancer care journey
3.17. Oracle Cerner Connect
- Integration: Oracle FHIR API, automate secure, compliant oncology data transfer
3.18. Philips IntelliSpace
- Interface: HL7/DICOM API, automate imaging-linked oncology records
3.19. Redox
- API: Data Model API, automate EHR data exchange between oncology apps and hospitals
3.20. InterSystems IRIS for Health
- API: FHIR/HL7 services, automate real-time synchronization of oncology EHR events

Benefits

4.1. Automates recordkeeping, reducing manual entry and potential for transcription errors.
4.2. Automated data flow accelerates oncology care coordination and decision-making.
4.3. Automation minimizes compliance risks through consistent, traceable record updates.
4.4. Facilitates automatedly sharing EHR data among healthcare partners, labs, and imaging centers.
4.5. Supports automated reporting for cancer registries, insurance, and research applications.
4.6. Automating patient data collection is scalable and adapts to high patient volumes in oncology.
4.7. Automator logic enforces structured data for analytics, audits, and quality initiatives.
4.8. Reduces IT maintenance by leveraging automatable API integrations and cloud scalability.