Pulse Admissions

Intelligent documentation improvement for accurate coding and reimbursements

Pulse Admissions brings patient data to life by intelligently surfacing key points from referral documentation, assessments, and clinical notes.

Clinical Decision Making

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

Pulse Referrals

Intelligently condenses lengthy referral records into a single-page, source-linked Referral Summary for review, improving time to admission and care planning.

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Days ~ 1-10

Pulse Admissions

Leverages LLM AI to compare and align referral documents, the OASIS assessment, and clinical notes for evidence-based documentation and accurate coding and reimbursements.

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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.

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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.

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Intelligent, transparent insights for improved
clinical documentation and accurate coding

Intelligent clinical

decision support through CDI

Pulse Referrals brings powerful new tools for informed,
seamless care coordination across the whole team. 

Efficiencies that free care teams
to focus on patient care

Immense time and manual labor savings for OASIS scrubbing.

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

Substantiating data around diagnoses reduces need for coding queries.

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

Historical episode processing empowers organizations to more confidently respond to audits.

More accurate quality metrics that reflect outcomes vs. true patient acuity.

Our Expertise

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