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How CAVO Payer Works 2019-10-01T11:26:32-06:00

5 A’s of the CAVO Medical Record Review Process

The CAVO platform streamlines the medical record review process, helping healthcare organizations more quickly determine appropriate reimbursement. Learn more by reading about our 5 A’s – including CAVO Answers, which utilizes our proprietary OCR to deliver smart search capabilities within the medical record.

CAVO aggregates medical record information.

Aggregates

Your benefits: CAVO creates searchable medical record data – including images.

Our technology: CAVO intakes structured and unstructured data from medical record documents and images across multiple platforms.

Our payment integrity and utilization review solution combines all information into a central, cloud-based repository of searchable data to streamline medical record reviews.

CAVO Answers enables search of an OCR medical record.

Answers

Your benefits: Increases medical record review findings and leverages clinical and coding resources.

Our technology: Health plan medical record review teams instantaneously search large data sets and receive relevance-ranked results, helping them efficiently locate information needed to make a clinical or coding determination. Reviewers may also utilize 100+ pre-defined searches or create and save custom organizational searches.

CAVO Assembles enables efficient creation of findings packets.

Assembles

Your benefits: Reduces health plan administrative costs of medical record reviews.

Our technology: CAVO enables payer reviewers to create medical claim review “findings” summaries utilizing select, highlight, and annotate tools within the imaged medical record. Plus, reviewers may leverage customizable letter templates available within the platform.

CAVO Analyzes allows reporting on both structured and unstructured data.

Analyzes

Your benefits: Expands medical record review reporting – even including images.

Our technology: Our payment integrity solution’s open API enables health plan enterprise-level analytics reporting on both structured and unstructured data – including images.

CAVO Automates is an open API structure allowing you to leverage data for machine learning.

Automates

Your benefits: Facilitates payer machine learning for medical claims reviews.

Our technology: Leverage CAVO to automate an audit segment based on predefined rules and/or established queries. Create (or enhance) NLP or machine learning to further streamline your payment integrity and/or utilization review teams – including use cases such as medical necessity, DRG, itemized bill reviews, and FWA.

More about CAVO Aggregates

Our review platform intakes medical records into a single repository.
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More about CAVO Answers

Our medical record review solution enables digital searching within – and across – records.
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Client Snapshot

Cost Containment, Readmission Unit

THEN

Client reviewers had to locate records associated with cases plus find the appropriate documentation within the case. Nurses manually compared their notes to the documentation.

NOW

Reviewers start with cases pre-populated with all documents. CAVO functionality enables reviewers to tag pages, utilize pre-defined searches to find common determination data, and reference their notes without interruption.

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Development of CAVO

  • Developed specifically for healthcare as an enterprise medical record review solution.
  • Built to HITRUST specifications.
  • Utilizes expertise from both payer and provider perspectives.
  • Focuses on creating efficiencies throughout the medical record review process.
READ MORE ABOUT US

BEST-IN-CLASS MEDICAL RECORD REVIEW TECHNOLOGY

ENTERPRISE PLATFORM

Highly scaled architecture promotes stability, strong SLAs, and adoption

FULL TEXT
OCR & SEARCH

CAVO’s proprietary full text search functionality makes indexing and/or categorizing medical records and itemized bills unnecessary

OPEN API

Our RESTful API endpoints allow your systems to interact in real-time with CAVO

DESIGNED FOR
END USERS

Very friendly user interface with optional functionality for a multitude of use cases

MORE ABOUT OUR TECHNOLOGY

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