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Oler Health

Oler Health provides software to skilled nursing facilities that automates the review of complex referral and in-facility documentation. This platform supports accurate Minimum Data Set (MDS) assessments, identifies potential reimbursement issues via PDPM and CMI alerts, and streamlines admissions screening. The system saves documentation staff time while improving the accuracy of care planning and quality measure reporting.

San Francisco, United StatesFounded 202341K+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Post-acute healthcare providers face challenges in efficiently extracting crucial information from unstructured referral documents, especially when dealing with handwritten notes and low-quality PDFs. This manual process is time-consuming, prone to errors, and hinders timely resident assessment and care planning.

Solution

Oler Health offers software designed to streamline the extraction of key insights from complex referral PDFs, enabling post-acute care providers to expedite resident assessments and improve care planning. The platform's search capabilities allow users to quickly sift through multiple documents simultaneously, even those containing handwriting or poor image quality. By automating the identification of potential clues relevant to value-based reimbursement, Oler Health enhances revenue accuracy and supports compliance efforts. The software also facilitates efficient communication with referring providers by enabling users to send targeted queries with relevant documentation attached.

Target Audience

The primary users are MDS nurses and clinical reimbursement leaders in post-acute care settings responsible for resident assessment and care planning.

Features

  • Advanced search functionality capable of processing multiple PDFs, including handwritten and low-quality documents.
  • Automated clue finder to identify potential indicators for value-based reimbursement.
  • Streamlined provider query process with the ability to attach relevant documentation.
  • Digital sidekick to reduce manual paperwork associated with referral PDFs.
  • Expedited workflows to catalyze intake processes.
  • Improved care plans with more robust transitions of care.
This profile is AI-generated and may contain inaccuracies.