"From Data to Decisions: How AI and Automation Are Accelerating Healthcare Insight Generation"
"From Data to Decisions: How AI and Automation Are Accelerating Healthcare Insight Generation"
Tue May 20 - 11:30 AM EDT/New York (See in local time)
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05/20/2025 11:30 AM
05/20/2025 11:50 AM
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"From Data to Decisions: How AI and Automation Are Accelerating Healthcare Insight Generation"
#WTGC2025
"From Data to Decisions: How AI and Automation Are Accelerating Healthcare Insight Generation"
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"From Data to Decisions: How AI and Automation Are Accelerating Healthcare Insight Generation"
"From Data to Decisions: How AI and Automation Are Accelerating Healthcare Insight Generation"
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Session: From Data to Decisions: How AI and Automation Are Accelerating Healthcare Insight Generation
The healthcare industry is generating unprecedented volumes of data, yet the challenge lies in efficiently transforming this raw information into actionable insights that drive clinical, operational, and strategic decisions. This presentation explores how artificial intelligence (AI) and automation are revolutionizing the way electronic health record (EHR) data is ingested, abstracted, and quality-assured. By leveraging advanced machine learning models, natural language processing, and intelligent automation, healthcare organizations can dramatically accelerate the speed and precision of data processing. The result is a more agile analytics pipeline that not only ensures high-quality, standardized data but also empowers real-time insights for care optimization, population health management, and research innovation. Attendees will gain an understanding of the latest technologies, real-world applications, and measurable outcomes from AI-enabled healthcare data strategies—bridging the gap between data complexity and decision-making clarity.Key Takeaways
- EHR Data Challenges – Managing data from multiple sources remains complex due to interoperability issues, unstructured formats, and inconsistencies.
- Enhancing Data Quality – AI-driven validation and anomaly detection help ensure accuracy, consistency, and real-time error correction in EHR data.
- Ethical & Adoption Considerations – Bias in AI, data privacy, and integration challenges must be addressed for widespread adoption in healthcare.
- Future Trends – AI’s role in personalized medicine and predictive analytics will continue to grow, reshaping how healthcare organizations leverage data.
Bio
Dr. Ewa J. Kleczyk is a distinguished leader in healthcare analytics and operational excellence, recognized for driving innovation in medicine, drug development, and equitable healthcare access. As a senior executive at Target RWE, she leads strategic initiatives that enhance real-world evidence generation, ensuring high-quality data-driven insights for pharmaceutical, biotech, and healthcare organizations.Her groundbreaking contributions have earned her numerous accolades, including the Presidential Lifetime Achievement Award (2023) and the PMSA Lifetime Achievement Award (2024). With nearly two decades of experience, Dr. Kleczyk specializes in healthcare data quality, validation, and analytics, empowering organizations to make informed, patient-centric decisions.
A sought-after speaker, she frequently presents at premier conferences such as PMSA, contributes to academic publications, and engages in podcasts and live-streams. Passionate about mentorship, she actively supports aspiring data analysts, particularly women pursuing leadership roles in healthcare and technology.
Dr. Kleczyk’s advocacy for women in healthcare leadership has earned her recognition as a "Rising Star" and "Luminary" by the Healthcare Businesswomen Association, as well as honors as a Top 25 Technology Leader in PA and Top 25 Women in Biotechnology. She co-founded the Kleczyk-Strout Foundation, which champions educational and healthcare initiatives.
Beyond her professional achievements, Dr. Kleczyk serves on multiple boards, including the Community Cancer Council for Northern Light Health Network and the Sisterhood Extravaganza Advisory Board, while also chairing the College Advisory Board at the University of Maine. Originally from Wroclaw, Poland, she holds a Doctorate from Virginia Tech and currently resides in Lansdale, PA, with her husband.
Khyati Srivastava
Currently leading GTM & Marketing for AI-native platforms while evolving as an AI-first leader.
AI Marketing & GTM Leader | Gen AI, SaaS Platforms, eCommerce, Marketplaces, Payments, Fintech | $2B+ Revenue Impact | B2C, SMB, B2B
I bring 16+ years of experience driving go-to-market strategy, product marketing, and revenue growth across Fortune 500s (eBay, Wells Fargo, Amex, Fiserv), late-stage startups (VGS, Rapyd), and AI-native platforms (KiwiQ.AI). My work spans Consumer, SMB, and Enterprise segments across both B2C and B2B environments.
