Leveraging Data in Healthcare Organizations - with RJ Kedziora of Estenda Solutions
Sep 5, 2024
auto_awesome
RJ Kedziora, Co-founder and CTO of Estenda Solutions, dives into the intricate world of healthcare data and its intersection with generative AI. He discusses the challenges leaders face in integrating data across various systems while maintaining HIPAA compliance. RJ highlights the importance of interoperability and data quality, pointing out biases that can arise in AI applications. He also stresses the need for strategic frameworks to facilitate digital transformation, ensuring that data accessibility drives better patient care and outcomes.
Healthcare leaders struggle to effectively utilize data for generative AI due to challenges in interoperability and integration across systems.
The transition to value-based care models necessitates innovative patient engagement strategies that leverage AI technologies to improve health outcomes.
Deep dives
Challenges in Data Utilization
Healthcare leaders face significant challenges in effectively harnessing data for generative AI applications. One major issue is the pace of technological change, which is outstripping the ability of healthcare systems to make meaningful use of available data. Often, healthcare data exists in isolation within institutions, complicating integration across systems and hindering the development of AI applications. Additionally, inherent biases in healthcare data, particularly regarding the representation of women in research, further complicate efforts to create robust AI models.
Interoperability and Data Sharing
The interoperability of healthcare systems remains a prominent issue, as disparate institutions often have different protocols for managing and sharing data. While regulations like HIPAA were initially intended to promote data sharing with privacy considerations, many healthcare organizations use them defensively, limiting information exchange. Recent advancements, such as FHIR-based protocols, aim to facilitate better data interoperability, but challenges endure. Efforts to address patient matching and ongoing data accuracy are critical, as misalignment continues to impede the effective sharing of medical information between providers.
The Shift Toward Value-Based Care
Healthcare organizations are transitioning to value-based care models that prioritize patient health outcomes over the volume of services rendered. This shift requires hospitals and practitioners to innovate in how they engage with patients and utilize AI technologies to promote preventive care. By adopting AI solutions, providers can better understand patient needs and streamline healthcare processes to achieve better health outcomes. The ongoing integration of AI into healthcare practices underscores the importance of using data-driven insights to inform treatment approaches while maintaining essential human connections with patients.
Today’s guest is RJ Kedziora, Co-founder, Partner, and Chief Operating and Technology Officer at Estenda Solutions. Estenda is a healthcare and medical custom software development, data analytics, and consulting company with 20 years of experience in digital health. RJ joins us on today’s program to talk about challenges for healthcare leaders in driving the data necessary to take advantage of these new use cases in generative AI and beyond. Throughout the episode, RJ provides measured and tested frameworks for tackling new opportunities in the standardization and interoperability of healthcare systems, especially where they intersect with the need for data sharing across the sector and what that means for HIPAA protections. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode