Each piece of the Pulse platform drives valuable improvements to planning, patient care, and documentation throughout the patient journey:
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
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.
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.
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.
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.
Intelligent, transparent insights for improved clinical documentation and accurate coding
- Intelligent admission summary and recommendations: Ensure PDGM accuracy with AI-powered recommendations for each contributing element.
- AI supporting insights: Supporting evidence from the referral summary, assessments, and clinician notes
- Streamlined collaboration: Share notes both between team members (Sticky Notes) and into the EMR (Coordination Notes)
- Generative AI-assisted clinical grouping and comorbidity recommendations for easy clinician review
- Cross-linked insight sourcing: Easily review surfaced insights for simplified clinical decisions.
- AI Conflicting Insights: Surfaces clinical evidence that suggests the need for correction or addition to OASIS
Intelligent clinical decision support through CDI
Pulse Referrals brings powerful new tools for informed, seamless care coordination across the whole team.
Admission
The admitting clinician makes post-visit adjustments, updating Focus of Care as appropriate and working with the clinical manager to publish the Admission Summary.
Scrubbing
The quality team leverages PDGM Summary data to ensure OASIS accuracy and updates OASIS in the EMR as needed.
Coding
The coding team references the PDGM Summary with other clinical documentation for accurate, evidence-based coding.
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.
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