Key takeaways for industry leaders [Webinar] / Blogs / Proficient

As healthcare organizations accelerate toward value-based careThe ability to turn massive volumes of data into actionable insights is no longer optional—it’s mission critical.

In a recent webinar, Improve healthcare quality with data + AIexperts of Data bricks, Excellus BlueCross BlueShieldand competent shared how leading organizations are using unified data and artificial intelligence to improve outcomes, enhance experiences, and reduce operational costs.

Below are the key themes and insights you need to know it.

1. Create a unified, AI-ready database

Fragmented data ecosystems are the biggest barrier to scaling AI. Claims, clinical records, social determinants of health (SDOH), and participation data often live in silos. This creates inefficiencies and incomplete opinions of your consumers (e.g. members, patients, providers, brokers, etc.).

What leaders are doing:

• Unify all data sources—structured and unstructured—on a single, secure platform.
• Adopt Open formats and governance by design. (e.g. Unity Catalog) to ensure compliance and interoperability.
• Go beyond gradual integrations towards a enterprise data strategy that supports real-time insights.

✅ Why it is important: A unified foundation enables predictive models, personalized engagement and operational efficiency, all essential for success in value-based care.

2. Move from reactive to proactive care

Healthcare is moving from anecdotal, reactive interactions to proactive, data-driven engagement. This evolution requires prioritizing interventions based on risk, cost, and consumer preferences.

Key capabilities:

• Predict risk and close gaps in care before they widen.
• Use AI to prioritize next best actionsbalancing population-level knowledge with individual needs.
• Incorporate feedback loops to refine outreach strategies and improve satisfaction.

✅ North Star: Provide timely, personalized and measurable care, improving both individual outcomes and population health.

3. Personalize engagement at scale

Consumers expect the “Amazon experience”: personalized, seamless and proactive. Achieving this requires flexible activation strategies.

Best practices:

• Disengage message, channel and recommendation for modular scope.
• Use AI-powered segmentation to tailor interventions across email, SMS, phone, PCP coordinationand more.
• Continually optimize based on response and engagement data.

✅ Result: Higher quality scores, better retention and greater consumer confidence.

4. Put AI to work for measurable impact

AI has gone beyond experimentation and now offers a tangible return on investment. Excellus BlueCross BlueShield’s AI-based call summary is a great example:

• Reduction in call management time between one and two minutes.saving thousands of hours a year
• Improved audit quality scores from ~85% to 95-100%
• Accomplished real-time summary in less than seven secondsimproving advocate productivity and member experience

✅ Lesson: Start with high-impact workflows, not isolated tasks. Quick wins build confidence and pave the way for enterprise-scale transformation.

5. Scale strategically: Treat AI as a business transformation

Perficient emphasized that scaling AI is not a technology project, it is a business transformation. Success depends on:

• Clear KPIs linked to business results (e.g. CMS Stars, HEDIS measurements)
• Governed, explainable and continuously monitored data
• Change management and workforce enablement to drive adoption
• Modular and composable architecture for flexibility and speed

✅ Pro tip: Start with an MVP approach: prioritize workflows, demonstrate value quickly, and scale it iteratively.

Final Thought: Data and AI are redefining healthcare delivery

Healthcare leaders face increasing pressure to deliver Better results, lower costs and exceptional experiences.. The insights shared in this webinar make one thing clear: success begins with a Unified, AI-ready database and a strategic approach to extending AI across all workflows, not just isolated tasks.

Organizations that act now will be positioned to move from reactive attention to proactive engagement, personalize experiences at scale, and unlock measurable ROI. The opportunity is here. How you act accordingly will define your competitive advantage.

Ready to reinvent healthcare with data and artificial intelligence?

If you are exploring how to modernize care delivery and consumer engagement, start with a strategic assessment. Align your goals, assess your data readiness, and identify the workflows that drive the greatest business and health impact. That first step lays the foundation for meaningful transformation, and is where the right partner can accelerate progress from strategy to measurable impact.

Our healthcare expertise equips leaders to modernize, personalize and scale care. We drive resilient, AI-powered transformation to shape healthcare consumer experiences and engagement, optimize operations, and improve the cost, quality, and equity of care.

• Business transformation: Activate strategy for transformative results and health experiences.
• Modernization: Maximize technology to drive innovation, efficiency and interoperability in health.
• Data + Analysis: Drive business agility and accelerate healthcare insights.
• Consumer experience: Connect, facilitate and enhance impactful health journeys.

We understand that every organization is on a unique journey towards AI. Whether you’re starting from scratch, experimenting with pilots, or scaling AI across your business, we’ll meet you where you are. Our structured approach delivers value at every stage, helping you turn AI from an idea to a business advantage. Furthermore, as Data Brick Elite Consulting partner, we create comprehensive solutions that allow you to generate more value from your data.

Find out why the 10 largest health systems trust us and the 10 largest health insurers in the US Explore our healthcare experience and contact us to start today.

Watch the on-demand webinar now: