Patient Access
Make care easier to access and harder to miss
Use Case: Patient Access
Make care easier to access and harder to miss.
Connecting patients with care shouldn’t be this hard. Patients want convenient, immediate appointments, while providers need optimized schedules and minimal no-shows. When these challenges aren’t addressed, everyone loses—patients wait too long, providers face empty slots, and lose revenue opportunities.
Kezava Navigate by integrating with your scheduling systems creates a frictionless patient access experience that maximizes appointment utilization, minimizes no-shows, and optimizes provider schedules.
Behind missed appointment, there is:
- 30% average no-show rate in healthcare organizations
- 24+ days average wait time for new patient appointments
- $200+ lost revenue per unused appointment slot
- 4-6 hours of staff time wasted daily on scheduling tasks
HIPAA-Compliant
Secure Azure Hosting
EMR Integration
Why It Matters?
Manual abstraction is no longer sustainable.
Requires expensive clinical resources - Often redirecting nurses from patient care
Takes an average of 2-4 hours per case - leading to missed deadlines
Leads to inconsistent data due to staff turnover and varied training
Creates a growing backlog that strains already limited teams
What Kezava Extract Delivers
- Reduce abstraction costs by at least 50% through AI-powered workflow
- Convert multi-hour reviews into 15–30 minute validations
- Maintain clinical accuracy with human-in-the-loop validation
- Seamlessly integrate with all major EMR systems via FHIR
- Enhances registry data quality
How Kezava Extract helps?
Smarter Data Extraction
- Reads structured and unstructured data from clinical notes, PDFs, and images
- Understands context to apply registry-specific rules
- Pre-fills registry fields with AI-assumed values
Designed for Efficiency
- Confidence scores help reviewers focus only where it’s needed
- Side-by-side comparison of source documents and extracted data
- Built-in logic and quality checks for reliability and consistency
- Intuitive UI built for abstractors
Designed for Efficiency
- Works with all major EMRs: Epic, Cerner, *Meditech, Allscripts, and Athenahealth*
- Uses HL7, FHIR, and Open APIs for seamless, secure data exchange
- HIPAA-compliant, hosted securely on Microsoft Azure
- Minimal IT involvement required
Cardio Vascular
Pre-built AI extractors for data needed for ACC NCDR AFIB, Cath PCI, Chest Pain, EP Device Implant, IMPACT, LAOO, TVT, AHA- GWTG Registries, STS Adult, STS Thoracic, STS Congenital, Intermacs/Pedimac, VQI Registries, State CV registries
Oncology
ACR NRDR LDCT, NMD, NCI SEER, NPCR, State Registries
Trauma
ACS – National Trauma Registry, State Trauma Registry
Orthopedics
AAOS – American Joint Replacement Registry (AJRR), State Registries