Transform the Data Foundations Holding Back Healthcare
Transform the Data Foundations Holding Back Healthcare
Agenda Day 1
For full details, please download the PDF Agenda by clicking here.
8:00 am - 8:30 am
REGISTRATION & COFFEE
8:30 am - 8:35 am
IQPC WELCOME SPEECH
8:35 am - 8:45 am
OPENING REMARKS FROM THE CHAIRPERSON
Kerri Webster -
Chief Analytics Officer,
Children's Hospital Colorado
8:45 am - 8:50 am
LIVE POLLS
8:50 am - 9:35 am
PANEL DISCUSSION | WE CANNOT FIX WHAT WE CANNOT SEE - BUILDING A PRACTICAL VIEW ACROSS EPIC, CLAIMS AND OPERATIONS
Kerri Webster -
Chief Analytics Officer,
Children's Hospital Colorado
Benjamin Shobert - SVP of Clinical Data & Enabling Technology, UnitedHealth Group
James Gaston - Chief Data Officer, Parkland Health & Hospital System
Across provider networks and health plans, a similar pattern keeps surfacing: everyone senses where work breaks down, but no one can point to it end-to-end with confidence. It’s not just about dashboards; it’s about the friction points between Epic, claims, and operations. Specifically, where does the 'perfect' clinical record fall apart in the authorization process? Fragmented systems, redundancy across silos, admin waste, mismatched definitions, and delayed or duplicated feeds necessitate extra work across eligibility, authorization, discharge planning, and claims. Under cost pressure, burnout, the goal is not more dashboards, it is a shared operational picture that shows where capacity is being burned and where action actually impacts outcomes.
• Pinpoint workflows where low visibility drains capacity and impacts patient experience
• Compare how teams connect EHR, claims, and service operations into a holistic view to identify silos and determine best practices
• Move from passive reporting to active alerting, and surface issues to teams before they result in denials or delayed discharges
9:35 am - 10:05 am
PRESENTATION | SAFE, USABLE, ECONOMICAL: THE DATA CONTEXT LAYER HEALTHCARE AI IS MISSING
Glen Day -
CEO & Founder,
NVISIONx
Across healthcare, AI initiatives stall not on the model, but on the data underneath: petabytes of records without clear ownership, meaning, retention, or business context. The cost shows up everywhere. Analytics teams reverse-engineer definitions, AI outputs no one trusts, regulatory exposure on data no one needed to keep, and infrastructure spend scaling faster than value. Meanwhile, the data office is asked to govern AI at scale on an estate it can't fully see, with a mandate that rarely matches the authority it's been given.
This session presents a working approach for making the data estate safe, usable, and economically efficient at scale. Drawing on enterprise deployments across regulated industries, the session will show how establishing business context across the data estate, and acting on it, gives data leaders the authority, visibility, and economic story they need to govern AI at scale, while converting data from a liability into a defensible foundation the CFO will fund.
Key Takeaways:
• Why context, not model sophistication, is the rate-limiting factor for healthcare AI, and why the CDO is the only role positioned to fix it
• How to apply Protect, Purge, Prosper to convert the data office from reactive service desk to evidence-based strategic function
• The economics of data minimization: a CFO-grade cost-avoidance and compliance-scope story the CDO can take to finance and actually get funded
• How to sequence classification, disposal, and AI investment so each phase builds CDO authority and self-funds the next, turning three competing demands into one coherent program
10:10 am - 10:40 am
COFFEE & NETWORKING BREAK
10:45 am - 11:15 am
THINK TANK | THE BUSINESS-DATA TRANSLATOR ADVANTAGE - UPSKILLING ANALYSTS TO CONVERT DATA INTO ROI
James Gaston -
Chief Data Officer,
Parkland Health & Hospital System
We have enough data builders; we lack translators. Data literacy initiatives fail when the business analyst cannot turn a raw metric into a clear, actionable narrative. Teams produce endless dashboards, yet operations, clinical, and finance leaders are still left asking: “So what?” The missing link is rarely more tooling, it is a defined business-data translator role, accountable for turning insight into decisions, not just delivery.
• Define what a data creator, data receiver, and data translator is in your organization
• Shift KPIs from "dashboard views" to "operational decisions made" proving the ROI of data literacy
• Share frameworks for training business analysts to translate raw data into clinical or financial narratives
11:20 am - 11:50 am
COFFEE & NETWORKING BREAK
10:10 am - 10:40 am
1:1 BUSINESS MEETINGS
10:45 am - 11:15 am
1:1 BUSINESS MEETINGS
11:20 am - 11:50 am
1:1 BUSINESS MEETINGS
11:55 am - 12:25 pm
PRESENTATION | UNLOCKING “DARK DATA” - TURNING CLINICAL TEXT INTO OPERATIONAL ADVANTAGE
Joshua Bosire -
Vice President & Chief Data and Analytics Officer,
Cooper University Health Care
Healthcare organizations are rich in data, yet critical decisions still rely on partial visibility. The reason is not missing dashboards, it’s missing context. The explanations behind denials, delayed discharges, readmissions, and patient complaints are often found in free text: physician notes, attachments, call logs, and correspondence that never make it into structured, trackable workflows. Leading organizations are now using modern analytics and AI to unlock this unstructured data and convert it into usable information, allowing teams to act earlier, improve efficiency, and focus effort where it actually matters.
• Show how organizations are turning clinical notes, attachments, and correspondence into actionable data that surface root causes behind denials, delays, and avoidable rework
• Explore where combining unstructured context with structured claims and EMR data improves authorization success, appeals efficiency, and decision-making
• Share what it actually takes to operationalize these capabilities at scale
Joshua Bosire
Vice President & Chief Data and Analytics OfficerCooper University Health Care
12:25 pm - 12:55 pm
PRESENTATION | FROM VISION TO VALUE: A PRACTICAL GUIDE TO DEPLOYING AI IN THE ENTERPRISE
Stephen McMaster -
AI Solutions,
Dell Technologies
This session will share Dell Technologies' and NVIDIA's perspective regarding the repeatable methodologies, use cases, lessons learned that early adopters have leveraged to deploy AI, on premises. Specific focus areas will include 1) Day 0: Strategy & Preparation; 2) Day 1: Development and Piloting; and 3) Day 2: Deployment and Scaling.
12:55 pm - 1:55 pm
LUNCH
1:55 pm - 2:25 pm
LIGHTNING DEBATES
Lightning Debates encourage quick thinking, concise expression, and active engagement. The debates are intellectual sprints, challenging you to articulate viewpoints on controversial issues effectively within tight time constraints. Vote with your feet, choose a side and defend your point of view.
1:55 pm - 2:25 pm
1:1 BUSINESS MEETINGS
2:30 pm - 2:35 pm
LIVE POLLS
2:35 pm - 3:05 pm
PRESENTATION | WHAT IT REALLY TAKES TO LAUNCH AND SCALE AI IN A HEALTH SYSTEM
Allyson Russell -
Director of Intelligent Automation,
UNC Health
Rachini Moosavi - Chief Analytics Officer, UNC Health
Moving from AI experimentation to enterprise impact remains one of the biggest challenges in healthcare today. In this session, UNC Health shares how they built and scaled a programmatic approach to AI and automation, from early roadblocks to system-wide adoption.
Combining leadership and delivery perspectives, this session will unpack what it really takes to move beyond pilots, align stakeholders, operationalize governance, and generate measurable operational value across the organization.
3:05 pm - 3:35 pm
PRESENTATION | BUILDING TRUSTED DATA FOUNDATIONS FOR AI IN HEALTHCARE
Ana Zapata -
Senior Enterprise Sales Engineer,
Fivetran
Healthcare leaders are under increasing pressure to deliver measurable outcomes from AI investments. Success, however, depends on the ability to unify, govern, and activate data across the enterprise. When critical information remains siloed, organizations struggle to gain the visibility and agility needed to drive innovation at scale. Hear about:
• The role of trusted, interoperable data in enabling AI-driven transformation
• How building an AI-ready data foundation unlocks operational and financial value, using patient referrals as a practical example
• How Open Data Infrastructure enables healthcare organizations to connect disparate systems, improve data accessibility, and accelerate innovation
3:40 pm - 4:10 pm
COFFEE & NETWORKING BREAK
3:40 pm - 4:10 pm
1:1 BUSINESS MEETINGS
4:15 pm - 4:45 pm
THINK TANK | MAKING DENIALS ACTIONABLE – WHAT TO FIX, WHAT TO ACCEPT, AND WHO OWNS IT?
Ashish Manne -
Principal Cloud Architect/Hybrid Cloud/Cybersecurity/Artificial Intelligence,
Optum
Denials are rising, but not all denials are the same. Some are driven by poor documentation, unclear policies, or late data. Others reflect genuine coverage rules or clinical disagreement. Many organizations treat them as one big problem, which fuels frustration, finger-pointing, and wasted effort on issues that were never fixable in the first place. Before bots, appeals engines, or AI-driven workflows can add value, organizations need a shared pre-automation foundation that distinguishes winnable fixes from structural constraints. Without that clarity, teams simply burn capital fighting the wrong battles, while patients sit in the middle.
Optum
• Separate denial drivers that are genuinely fixable from those that are structural or policy driven
• Compare how leaders are creating shared visibility into denial categories so both sides work on the same problem
• Clarify where accountability should sit for fixing issues versus accepting them as design constraints
Ashish Manne
Principal Cloud Architect/Hybrid Cloud/Cybersecurity/Artificial IntelligenceOptum
4:15 pm - 4:45 pm
1:1 BUSINESS MEETINGS
4:50 pm - 5:20 pm
COFFEE & NETWORKING BREAK
4:50 pm - 5:20 pm
1:1 BUSINESS MEETINGS
5:25 pm - 6:10 pm
PANEL DISCUSSION | WHY ‘SHARING DATA’ FAILS IN THE REAL WORLD AND WHAT ACTUALLY FIXES IT
Kalyani Gopalan -
Executive Director of Advanced Analytics,
Presbyterian Healthcare Services
John Supra - Chief Digital Health & Analytics Officer, Cone Health
Kerri Webster - Chief Analytics Officer, Children's Hospital Colorado
Bindu Chanagala - VP Performance Insights/Data Analytics for the Population Health Services Org, CommonSpirit Health
Marcelo Zottolo - VP Data & Analytics, Lee Health
Interoperability has been “solved” on paper for over a decade, yet data sharing still breaks in the moments that matter most. The issue is not willingness or standards adoption, it’s usability. What arrives is often late, inconsistently formatted, or incomplete, forcing teams back into manual work just to keep care and revenue moving. It’s not an issue of data access and visibility, but rather a question of whether data can be used immediately, without rework. Progress comes from agreeing on what actually needs to move, how fresh it must be, and who owns failure when the pipeline breaks.
• Define a “minimum valuable dataset” by separating must-have operational data from context that otherwise slows action.
• Expose where payer-provider incentives undermine data liquidity, and where commercial alignment has actually improved data timeliness and usability.
• Move from regulatory compliance to SLAs that work, clarifying refresh expectations, ownership, and dictionary alignment across organizations.
Bindu Chanagala
VP Performance Insights/Data Analytics for the Population Health Services OrgCommonSpirit Health
