BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//New England Association for Healthcare Quality\, Inc.//Silkstart 
 Technology Inc.//
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
DTSTART;VALUE=DATE-TIME:20260308T020000
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
BEGIN:STANDARD
DTSTART;VALUE=DATE-TIME:20261101T020000
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:FAHQ presents AI-Enhanced Incident Reports: Identifying Root Causes
  and Tracking Trends
DTSTART;TZID=America/New_York;VALUE=DATE-TIME:20260805T120000
DTEND;TZID=America/New_York;VALUE=DATE-TIME:20260805T130000
DTSTAMP;VALUE=DATE-TIME:20260516T183821
UID:6a08b99d51ea1f05de7f25db
DESCRIPTION: FREE for NEAHQ members\; $30 for non-members NEAHQ Members: 
 Email webinars@fahq.org for a coupon code to register at the member rate. 
 On the registration page\, select the webinar checkbox and complete 
 registration steps. Active NEAHQ membership will be verified by the 
 association. About the Program: This presentation outlines how artificial 
 intelligence can be integrated into existing incident reporting systems to
  improve patient safety\, reduce subjectivity\, and enable proactive risk 
 management. Using Nicklaus Children&rsquo\;s Health System as the case 
 study\, the presentation explains how a homegrown AI tool 
 (&ldquo\;AskNick&rdquo\;) is integrated with RL Solutions to analyze 
 incident reports using natural language processing. It will describe how 
 AI can systematically review the brief factual descriptions within 
 incident reports to generate a standardized problem list\, assign parent 
 and child categories\, and identify root causes with greater consistency 
 than traditional human review. Multiple validation trials with risk 
 managers are highlighted\, showing iterative improvements in accuracy and 
 category refinement. It will discuss how AI categorized data can be 
 leveraged for predictive modeling\, trend analysis\, and real time 
 dashboards. These capabilities allow organizations to identify high risk 
 periods\, correlate incidents with operational factors (such as census\, 
 acuity\, and staffing)\, and implement proactive interventions&mdash\; 
 ultimately reducing manual workload\, improving reporting timeliness\, and
  strengthening patient safety outcomes. About the Speaker: Dr. Nicole 
 Czubkowski\, IE\, LSSGB Nicklaus Children&rsquo\;s Health System\, Miami\,
  FL Nicole Czubkowski is a healthcare strategy and transformation leader 
 with experience driving operational improvement\, risk reduction\, and 
 technology-enabled change across complex healthcare environments. Her work
  focuses on translating strategy into execution by redesigning processes\,
  aligning stakeholders\, and leveraging data\, automation\, and applied 
 artificial intelligence to improve quality\, safety\, and financial 
 performance. Nicole has led initiatives spanning AI-enhanced incident 
 reporting\, claims prioritization\, and workflow optimization\, with a 
 strong emphasis on reducing bias\, increasing transparency\, and enabling 
 proactive decision-making. She regularly applies Lean and performance 
 improvement methodologies alongside tools such as Microsoft Copilot and 
 Power Automate to streamline operations\, strengthen follow-through\, and 
 deliver measurable return on investment. Her approach is grounded in 
 practical adoption&mdash\;ensuring solutions are scalable\, sustainable\, 
 and embraced by frontline teams and leadership alike. An engaging speaker 
 and thought partner\, Nicole has presented nationally on healthcare 
 transformation topics\, highlighting real-world use cases and lessons 
 learned from implementing innovation in regulated\, high-stakes settings. 
 She holds a doctorate in healthcare-related studies and brings a 
 collaborative\, results-oriented leadership style to her work. Nicole is 
 passionate about building systems that support clinicians\, improve 
 patient outcomes\, and move healthcare organizations from reactive 
 problem-solving to proactive\, data-informed performance. CE Credit: 1.0 
 hour &ndash\; FAHQ is a Florida Board of Nursing approved provider 
 (Provider #50-17380) This program has been submitted for pre-approval by 
 NAHQ&reg\; for 1.0 hour of CPHQ recertification CE credit. 
LOCATION:Webinar
PRIORITY:5
URL:https://www.neahq.org:443/events/fahq-presents-ai-enhanced-incident-
 reports-identifying-root-causes-and-tracking-trends
END:VEVENT
END:VCALENDAR