Patient Care Services Integration Platform (PCSIP)
Department of Veterans Affairs · VHA: Veterans Health Administration
Overview
- Development stage
- PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
- High-impact designation
- High-impactSource: a) High-impact
- Impact justification
- Not reported
- Start date
- Not reported
- Withheld from public reporting
- Not reported
Mission
- Topic area
- Health and Medical
- Operational functions
- Summarization, Claims and case processing, Clinical and medical Derived by keyword rules; see methodology
Problem the AI is intended to solve
1. Improve patient flow at VAMCs so that 20% more Veterans are provided care with existing staff and resources. 2. Enable use of FDA approved devices in FISMA compliant manner. 3. Optimize veteran journey from direct care to community care and back.
Expected benefits
1. Improve patient flow at VAMCs so that 20% more Veterans are provided care with existing staff and resources. 2. Enable use of FDA approved devices in FISMA compliant manner so that staff can get the job done easily from VA provided workstations for authentication, authorization, access for read and write to multiple clinical systems 3. Optimize veteran journey from direct care to community care and back.
System outputs
1. Estimated time for appointment for patient in Direct Care within VA and Community Care. 2. Estimated time for patient to reach PACU or Wards in Surgery Workflow. Estimated time for Discharge of patient in Emergency, Surgery, and Wards. 3. Patient Past Medical History Summary generated from Patient Medical Information in Vista/CPRS, Cerner and combined with Outside Records received in PDF format. Patient Summary generated is customized per specialty and per workflow e.g. Emergency, Surgery (Cardiology, Oncology, Orthopedics, Gastroenterology), Anesthesia, Behavioral Health, In-patient Wards. 4. Clinical summary of care provided summarized from Patient Data in EHRs (Epic, Cerner, Meditech, Vista/CPRS) and Ambient Dictation generated note. 5. ICD and CPT codes generated for Ambient Dictation notes for billing optimization. 6. Care Pathways determined from Ambient Dictation between care providers and patients. 7. Case Management notes generated from calls between Case Managers and Care Providers internally within the VA. 8. Ambient AI generated notes specific for workflows and specialties including Emergency, Radiation Oncology, Surgery, Wards, Behavioral Health and Primary Care. 9. Radiology protocoling notes generated from Patient Info in EHRs and Ambient Dictation.
Technology
- AI classification
- Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
- System name(s)
- Not reported
- Custom-developed code
- No
- Public source code
- Not reported
Sourcing
- How it was built
- Purchased from vendorSource: a) Purchased from a vendor
- Vendor (as reported)
- Not reported
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- Not reported
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Not reported
- Demographic features
- Not reported
- Training and evaluation data
- Not reported
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Potential impacts and how they were identified
Not reported