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Caregiver-patient phone assessments automatically transcribed with speaker notes, eliminating manual notetaking and reducing post-call documentation time by over 50%.
Transcribed assessment answers dynamically mapped to standardized PDF fields, creating fully completed digital forms with zero manual data entry.
Rapid end-to-end implementation including discovery workshops, system build, caregiver training, and production rollout across 190+ nationwide locations.
All assessment data extracted into normalized, database-ready formats powering real-time analytics, compliance reporting, and operational decision-making via EMR integration.
The client, a large US-based home care organization serving thousands of patients through diverse caregivers across 190+ locations, relied on phone-based assessments to evaluate patient conditions. While the clinical workflow itself was effective, the surrounding data capture process was entirely manual and introduced significant operational friction. Four core pain points emerged:
Caregivers performed patient evaluations via phone and then manually entered details into PDF forms. This hand-filling process created persistent bottlenecks, introduced transcription errors, and delayed care reporting across the organization’s nationwide operations.
Assessment information was trapped inside unstructured PDF documents with no programmatic access. This made it nearly impossible to run trend analysis on patient outcomes, aggregate performance data across locations, or surface operational insights at scale.
Without automated validation, there was no systematic way to check for missing fields, inconsistent entries, or non-compliant records. Quality assurance depended entirely on manual review, which was neither scalable nor reliable across millions of annual hours of care delivery.
The absence of real-time, structured assessment data restricted the organization’s ability to make rapid clinical and operational decisions. Leaders lacked visibility into assessment completion rates, patient risk signals, and caregiver performance patterns across regions.
Inferenz implemented an end-to-end AI-powered assessment automation system that converts caregiver-patient phone assessments directly into structured, audit-ready records, eliminating manual data entry entirely and unlocking real-time analytics across the care continuum.
Discovery & Assessment Mapping
Conducted structured workshops with client teams to identify all relevant assessment questions, standardize field definitions, and map the end-to-end data flow from phone call to final record. This ensured the AI system aligned precisely with existing clinical workflows and compliance requirements.
Automated Call Transcription with Speaker Diarization
Deployed AI transcription models that convert caregiver-patient phone conversations into accurate text in near real-time. Speaker diarization distinguishes between caregiver and patient voices, enabling precise attribution of questions and answers for downstream data mapping.
Dynamic PDF Generation
Built a system that instantly maps transcribed answers to the correct PDF fields, generating fully completed digital assessment forms with zero manual input. The engine handles varied question formats, conditional logic, and multi-section forms at scale.
Structured Data Extraction & Analytics Pipeline
All assessment data extracted from calls and generated PDFs is stored in a normalized database format, making it immediately available for real-time analytics, compliance monitoring, and operational reporting. Data feeds directly into downstream EMR and reporting systems.
Integrated Quality Validation
Automated checks run on every record to verify completeness, consistency, and regulatory compliance before submission. This replaced the unreliable manual QA process with a systematic, scalable validation layer that maintains audit-readiness across all 190+ locations.
Caregiver Review & Cloud-Based Workflow
Caregivers review and update AI-generated PDFs before final submission, preserving clinical accuracy and care team confidence. The entire solution runs on scalable AWS infrastructure, integrating seamlessly with downstream reporting and EMR systems.
Rapid end-to-end rollout including discovery, build, caregiver training, and production deployment.
AI-driven extraction ensured accuracy and audit-ready, compliant patient records across all locations.
Drastic reduction in time spent on form filling and post-call paperwork, freeing caregivers for patient care.
Structured records instantly available for compliance, analytics, and operational decision support via EMR systems.
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