Review

Smarter OASIS review with greater clinical confidence

Mosai Review helps home health agencies reduce QA backlog, improve coding accuracy, strengthen documentation quality, and finalize OASIS documentation with greater confidence.

By combining AI-supported review workflows with experienced US-based clinical expertise, Review helps teams quickly identify discrepancies, validate recommendations, and better capture the full patient story without manually searching through disconnected documentation.

See how agencies are improving OASIS review

Smart summaries
Intelligent cross-referencing
Source-linked clinical evidence
PDGM recommendations

Team sat around meeting table with laptops and tablets

Reduce manual review burden

Most review workflows still require teams to:

manually validate recommendations
search through referral packets and attachments
identify unsupported coding decisions
manage growing QA backlog
balance speed with coding accuracy and compliance

Review reduces repetitive QA work by surfacing discrepancies, highlighting documentation gaps, and linking recommendations directly back to supporting clinical evidence.

Reduce QA backlog

Help reviewers spend less time validating documentation and more time finalizing decisions confidently.

Improve coding accuracy

Identify missing diagnoses, unsupported scoring decisions, and documentation inconsistencies earlier in the review process.

Improve documentation defensibility

Support audits, denials, and reimbursement justification with recommendations tied directly to source documentation.

Better capture patient complexity

Surface missed clinical context and documentation opportunities that may impact reimbursement accuracy, Star Ratings, and quality performance.

Walk through the Review workflow

Key features

Mosai Review applies AI-supported analysis across referral packets, OASIS assessments, add-on evaluations and clinical notes to surface actionable insights with transparent, source-linked evidence.

Smart clinical summaries

Convert lengthy referral packets into concise clinical summaries that give reviewers and clinicians immediate visibility into patient conditions and care considerations before start of care.

Intelligent cross-referencing

Compare referral documentation against OASIS responses, assessments, and clinical notes to identify discrepancies, unsupported answers, and missing diagnoses earlier in the review process.

Insights into your EHR

Review, annotate, and publish insights directly into your EHR with coordination notes.

Source-linked clinical evidence

Validate findings and investigate discrepancies quickly with easy-to-follow links between insights and original documentation.

AI-enhanced insights

Access Patient-Driven Groupings Model (PDGM) recommendations and missing or conflicting diagnoses alerts to ensure compliance and coding integrity.

Reviews - Source-linked clinical evidence

Clinical review support services

Review combines AI-supported discrepancy detection with experienced clinical review support to help agencies reduce QA backlog, manage review volume, and finalize documentation with greater confidence — without relying entirely on internal reviewers to validate every recommendation manually.

Empowering care coordinators nationwide

10/10 of the top U.S. home healthcare providers trust Mosai

33% decrease in OASIS review time on average

47% of records evaluated by Mosai Review required corrections

Mosai Review gives our team the insights we need to start care with confidence – faster and more accurately than ever

Jordan Holland, SVP Value-Based Care, Compassus

Aligned to leading security standards

Ensure clinical workflow compliance at every stage of the review process. Mosai is fully HIPAA-compliant and adheres to HITRUST security standards – keeping patient data safe.

FAQs

Mosai Review consolidates complex referral packets into digestible summaries for fewer transcription errors, increased efficiency, and better care coordination. Evidence-backed insights make it easy to validate findings, while AI-enhanced tools compare referral data with OASIS reviews and clinical notes to improve coding accuracy and reimbursement.
Accurate clinical documentation is more than just the source of thorough initial care planning – it’s also the foundation for maximum justified reimbursement.

Complete care plans account for a patient's primary diagnosis and requested services, as well as comorbidities and social determinants of health. Combined, this comprehensive patient view enables clinicians to create accurate care plans, deliver the required care, and code for the care delivered. In turn, this generates reimbursement that matches the care delivered.

Mosai analyzed clinical documentation and determined that 47% required correction, meaning those providers wouldn’t have received the reimbursement they deserved.
Mosai Review applies clinical intelligence that goes beyond just an OASIS assessment review. Our system also compares the OASIS to the entire referral packet, clinical notes made during the initial visit, and add-on evaluations. These additional sources enhance documentation with patient conditions, coding accuracy, and reimbursement alignment.