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Ascenix

Ascenix is a long-term care analytics platform that automatically reads incident data already documented in a facility's EHR and transforms it into compliance monitoring, risk scoring, and automated shift reports. The platform's Risk Radar ranks every resident by severity using explainable rules, while Glenn AI answers plain-language questions about incident history and drafts progress notes for staff to copy back into the chart.

Traction –/10
HQ unknown
6700+ followers
  • Healthcare Technology
  • Digital Health
  • Data & Analytics
  • Regulatory & Compliance Technology
  • Artificial Intelligence
  • Software Only
  • AI Agents
Updated 10 days ago

Funding

Raised to date

$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Incident data in long-term care homes is scattered across EHR notes, forms, and shifts, making it difficult for leadership to understand resident health patterns and compliance status. Manual reporting and analysis consume hours of staff time, and data points like falls, hydration, wounds, and behaviors often go untrended until an inspection or adverse event occurs.

Solution

Ascenix brings every incident across every home into one dashboard, automatically reading existing EHR records without requiring new charting. The platform generates 24-hour shift reports, completes assessments, and flags compliance gaps the day they occur against a home's own post-incident standards. Risk Radar scores all residents at once using a transparent, rule-based algorithm that ranks who needs attention next, while Glenn AI reads a home's full incident history and answers follow-up questions in plain language. Directors of Care and Administrators see every home side by side from the same records, enabling earlier care decisions and better financial outcomes.

Target Audience

Directors of Care, Administrators, and program leads in long-term care homes and multi-home operator organizations who need to track incidents, assess risk, and maintain compliance without adding documentation burden.

Features

  • Automated 24-hour shift report generated before every shift, prepared from Risk Radar insights
  • Risk Radar ranks residents by severity across all incident categories using an explainable, rule-based score over documented incidents
  • Glenn AI answers plain-language questions about incident history, summarizes resident histories, checks care plans for gaps, and drafts progress notes for EHR copying
  • Compliance checking against each home's own post-incident standard, flagging missing follow-up notes, POA notification gaps, or incomplete assessments
  • Read-only integration that captures incidents from progress notes and flags missing forms without ever writing back to the chart
  • Incident tracking table filterable by home, resident, location, and cause, with 12-week severity heatmaps and projections
  • Dashboards for falls, behaviours, hydration, and skin/wounds, with quarter-by-quarter and annual views for QAPI, exportable to PDF, CSV, or Excel
  • Customizable behaviour categories to fit specific team needs (e.g., splitting attempts from physical contact)
This profile is AI-generated and may contain inaccuracies.