Thousands of pages a day.
Read in minutes.
Monument Health, a five-hospital, Mayo Clinic Care Network system serving 12 communities across western South Dakota, was hand-processing thousands of pages of faxes and PDFs every day to get clinical data into its EHR. Purpose Health's AI document processing solution, readabl.ai, now categorizes and patient-matches over 81% of those documents automatically, in under three minutes each.
Care gaps close at the point of care. The data arrived by fax.
Serving a wide rural region, Monument Health receives clinical data from many sources in many forms, faxes and PDFs among them. Staff manually identified, categorized, and uploaded thousands of pages a day into the EHR so providers could see the data at the point of care. The health system needed advanced automation for image recognition and document analysis, and a partner with deep expertise in AI, machine learning, and natural language processing to turn clinical data from disparate sources into information providers can act on, without compromising security.
readabl.ai on the Public Cloud
Our cloud-based AI and machine learning solution recognizes and extracts information from documents, faxes, and narrative reports using the latest language processing models.
Categorize & Patient-Match
readabl.ai categorizes data from unstructured reports and pairs the right information with the right patient, replacing manual identification and indexing.
FHIR Integration to the EHR
Extracted data flows into the EHR and other key applications through FHIR APIs, so providers see it at the point of care.
Accuracy That Compounds
The models add value as more documents are processed, and the public cloud scales with volume.
Assessment Through Execution
The engagement ran from a comprehensive assessment through design and execution, pairing our AI expertise with Monument Health's clinical and operational experience.
81% automated
Documents categorized and patients identified automatically for over 81% of documents.
1/3 less effort
Roughly a one-third reduction in effort per document, cutting cost through labor savings.
Under 3 minutes
Documents processed by readabl.ai in less than three minutes, speeding data to providers.
Staff on patient care
Teams moved from document processing to patient care and population health management.
Thousands of pages of faxes and PDFs daily, identified, categorized, and uploaded into the EHR by hand.
A comprehensive assessment maps Monument Health's document flows, sources, and security requirements.
readabl.ai deployed on the public cloud and integrated with the EHR and key applications over FHIR APIs.
Over 81% of documents categorized and patient-matched automatically, each in under three minutes.
Staff focus on patient care instead of paperwork, with a tool that strengthens population health management.
AI, ML, and NLP depth
The AI, machine learning, and NLP expertise Monument Health set out to find, delivered through the latest language processing models.
Provider-side partnership
Our technology paired with Monument Health's clinical and operational experience, so automation solved the right problem.
Answers a workforce crisis
A third less effort per document recovers capacity where recruitment can't keep up.
Secure and scalable
Public cloud scalability with the data security a five-hospital system requires.
"The readabl.ai project has had a tremendous impact on our health system's accuracy and productivity in a time where struggles with recruitment and workforce put the industry at risk. Having a partner that lives service excellence makes all the difference."
Turn paper into patient data. Automatically.
Whether faxes flood your health information team, referrals arrive as PDFs, or manual indexing is consuming staff you can't replace, readabl.ai puts the data in front of providers and your people back on patient care.