Pulse Referrals & Admissions

Bring your patient data
to life like never before

Pulse Referrals & Admissions applies the latest large language model (LLM) AI to provide review, cross referencing, and insight capabilities that supercharge intake and admission teams. Summarize complex referrals in a fraction of the time needed for manual review, then leverage intelligent insights to compare and align referral documents, OASIS assessments, and clinical notes with patient needs.

It all adds up to better care decisions, more accurate coding and reimbursement, and improved quality outcomes.

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Clinical Decision Support,

Powered by Machine Learning

Each piece of the Pulse platform drives valuable improvements to planning, patient care, and documentation throughout the patient journey:

Pre-Admit and ~Days 1-10

Pulse Referrals & Admissions

AI-powered review of complete referral records, condensed into a single-page smart summary. Cross-references referral documents, the OASIS assessment, and clinical notes for improved documentation, coding, and reimbursement accuracy.

Days 5-60

Pulse Episodes

Evaluates clinical data to stratify patients by risk for optimal utilization. Provides visit-by-visit patient snapshots to guide proactive care and improve end-of-episode decisions.

Learn More

Pulse Transitions

Compares patients against unmatched industry-wide data to identify those most likely to require end-of-life care, helping providers ensure compassionate end-of-life planning for families.

Learn More

Start the patient journey off right with AI-assisted
intake and Focus of Care review

  • Streamlined editing: Same page editing functionality for a fusion of AI-powered intelligent summarization and referral team expertise.  
  • Embedded PDF viewer: Seamless review of linked clinical documentation, including highlights of the most essential data to facilitate Focus of Care decisions. 
  • Intelligent summarization: Pinpoint key patient data for review and correction without digging through lengthy referral packets. 
  • Source-linked clinical evidence: Jump right to supporting patient data for in-depth review without the manual labor. 

Patient-centered, intelligent assistance for every function

Pulse Referrals & Admissions applies generative AI to enable informed, seamless care coordination across the whole team.
It goes beyond what a simple referral processing or coding solution would do, driving clinical evidence-based
improvements to documentation
and care planning.

Referral Intake 

The intake coordinator uploads referral documents, which the product uses to generate a source-linked referral summary with just a click for informed, timely Focus of Care (FoC) review.

Branch Intake

The branch or clinical manager leverages the easy-edit interface to review and update the referral summary. As needed, they can publish into the EMR for streamlined clinician review.


The admitting clinician reviews the referral summary to prepare for the admission visit and make appropriate adjustments to Focus of Care and other elements afterwards.

Intelligent insights for improved documentation,
complete coding, and appropriate reimbursements

  • Intelligent Admission Summary and recommendations: Ensure documentation accuracy with AI-powered recommendations for each element of PDGM
  • AI Supporting Insights: Substantiate diagnoses with clinical evidence intelligently surfaced from the referral summary, assessments, and clinician notes
  • AI Conflicting Insights: Recognize and act on needed corrections or additions to documentation with smart insights into conflicting data
  • Streamlined collaboration: Share notes both between team members (Sticky Notes) and into the EMR (Coordination Notes)
  • AI-assisted clinical grouping and comorbidity recommendations, with smart insights for easy clinician review 
  • Source-linking throughout: Easily dive in and review surfaced insights for simplified clinical decisions without the manual digging. 

The quality team reviews patient-specific AI Insights in the Admission Summary that drive alignment between referral documents, assessments, coding, and OASIS responses; they then update OASIS in the EMR as needed. 


The coding team references the Admission Summary and other clinical documentation to fully capture the patient’s condition for accurate, evidence-based coding and reimbursement. 

Transform your outcomes for intake and admissions

Full review of every patient record in a fraction of the time required for manual review.

Simplified referral decisions and reduced time to admission with AI-powered smart summaries.

Easy editing and publishing functions for seamless in-platform validation and cross-functional collaboration.

Improved OASIS and coding accuracy for more appropriate case mix and reimbursement.

Intelligent recommendations on every element of PDGM drive evidence-based documentation improvement.

More accurate quality metrics that reflect outcomes relative to true patient acuity and care provided.

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