Automated Document Processing: Ingest and extract patient data from PDFs, images, emails, and faxes—eliminating manual data entry.
AI-Assisted Triage & Prioritization: Streamline patient flow by automatically prioritizing urgent cases for faster, more efficient care.
Secure & Scalable Healthcare Compliance: Ensure secure, scalable, and compliant integration into healthcare workflows with an AI-powered cloud infrastructure.

Summary

Faster Intake. Smarter Triage. Better Patient Care.

The AI Engine for Patient Intake and Triage automates the ingestion, extraction, and interpretation of patient data, optimizing intake workflows and triage prioritization. By replacing manual processes with AI-driven automation, healthcare providers can reduce administrative burdens, accelerate patient throughput, and streamline diagnostic and treatment workflows. The result? Shorter wait times, optimized resource allocation, and improved patient outcomes.

The Main Problem

Manual Intake & Triage Processes Slow Down Patient Care

Hospitals and clinics face major inefficiencies due to manual patient intake, document processing, and triage prioritization. Administrative staff spend significant time reviewing, extracting, and entering data from patient documents, causing bottlenecks in the care delivery process. These inefficiencies lead to longer wait times, increased labor costs, and reduced patient satisfaction—ultimately limiting the ability to scale operations effectively.

Manual data entry slows down patient intake and triage
Unstructured document formats create workflow inefficiencies
Long wait times impact patient experience and resource allocation

leveraging the power of Google Cloud

Your premium consulting partner for data and AI

Request the 1-Pager

Pain Point #1

Still Relying on Manual Patient Intake?

Hospitals and clinics struggle with time-consuming, labor-intensive intake processes that involve scanning, interpreting, and entering patient data manually. AI-powered automation streamlines document ingestion, eliminating manual processing and ensuring faster, more accurate data extraction.

Checklist header

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique.

Pain Point #2

Delays in Triage Affect Patient Care & Outcomes

Without AI-assisted triage, providers rely on human-driven prioritization, leading to inefficiencies and delays in care for high-risk patients. AI-driven triage intelligence prioritizes cases based on urgency, enabling providers to optimize patient throughput and deliver care faster.

Pain Point #3

Long Wait Times Reduce Patient Satisfaction & Provider Efficiency

Administrative bottlenecks extend patient wait times, affecting patient experience and hospital revenue. By automating intake, triage, and document processing, healthcare staff can focus on patient care instead of paperwork, leading to faster service, higher throughput, and improved satisfaction.

Solutions tailored to you

Here's how we can help you solve all that

No items found.

Don't just hear it from us

Image
JP Grace
Chief Technology Officer
Endear

As our customer base grew, we ran into PostgreSQL vertical scalability limits and problems like CPU, memory and connection exhaustion. We were thrilled the solution gave us a drop-in PostgreSQL replacement with much more efficient reads and writes. The solution requires less CPUs to hit our throughput and latency goals, lowering our cost by 40-50% and preparing us for the next phase of customer growth.

No items found.

See How It Worked For Other Businesses

No items found.