Pre-Visit Prep is part of Cotiviti’s
Risk Adjustment solution suite.
Pre‑visit preparation has traditionally been a fragmented, manual, and time‑consuming process. Clinicians must sift through claims, clinical notes, and historical conditions across multiple systems—often without a unified view or clear prioritization. This leads to missed recapture opportunities, inconsistent documentation, and unnecessary administrative burden.
added for every 5 patients reviewed*
By unifying data, surfacing risk‑adjustable conditions, and integrating seamlessly into the EMR workflow, our solution transforms pre‑visit preparation into a streamlined, clinically meaningful process. Pre‑Visit Prep automates chart preparation using AI and natural language processing (NLP) to extract relevant insights from claims data, clinical documentation, and confirmed conditions. These insights are validated by clinical reviewers to support accuracy and compliance, reducing noise and preventing alert fatigue. By surfacing both recapture and net‑new risk‑adjustable conditions before the visit, clinicians gain a clear, actionable picture of each patient’s needs.
The solution also filters out conditions already addressed in the current year, minimizing redundancy and reducing abrasion. Ultimately, Pre‑Visit Prep empowers clinicians to close gaps efficiently, improve documentation quality, and deliver more informed, higher‑value care.
By combining automation, intelligent filtering, and seamless workflow integration, Pre‑Visit Prep delivers a uniquely efficient, clinician‑friendly approach to prospective risk adjustment. It stands apart with features such as:
Cotiviti’s Pre‑Visit Prep stands out because it bridges the gap between advanced analytics and real‑world clinical workflows. Unlike traditional solutions that generate insights that may fail to integrate them meaningfully, Pre‑Visit Prep uses FHIR‑based connectivity to push validated suspects directly into the clinician’s EMR workflow at the point of care. Its AI and NLP capabilities analyze both structured and unstructured data, surfacing under‑documented complexity and comorbidities that other systems often miss.
*Results are based on a client group average; outcomes may vary by organization and market.