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