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Revolutionizing Patient Care through Advanced Data Analytics: Meet Eric Browne with SIR
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Unearth the transformative power of data analytics in healthcare with our incredible guest, Eric from Self-Insured Reporting. We shine a spotlight on the crucial role of this tool in identifying risks and guiding treatment, especially in the realm of high-cost claims like dialysis. Eric and Kimberlee share how data analytics helps to manage the 20% of patients responsible for a whopping 80% of claim expenditure. Eric explains how his company, Self Insured Reporting is harnessing the power of advanced analytics to simplify stop loss reporting and shine a light on those who are about to be a group's highest risk.
Fancy a peek into the future of kidney disease detection? Well, hold on tight as we discuss the potential of advanced analytics in the early identification of this disease. We reveal how these tools can pick up on risks at an early stage, paving the way for timely intervention and prevention of disease progression. However, advanced analytics is no lone ranger. The collaboration between clinicians and analytics is vital for accurate identification of high-risk individuals, something that forms the heart of our discussion. Eric shares how his platform aids Stop Loss, TPA's, brokers and employers in managing healthcare needs, thereby ensuring a healthier workforce.
As we roll into the final phase of our conversation, we delve into the topic of self-insured reporting and the need for transparency in the healthcare system. Eric, our data maestro, unveils his tool that simplifies risk analysis, saving precious time for care management. We explore the burning issue of industry burnout and capacity and discuss the potential of employers and brokers leading the charge for transparency. We wrap up the episode by acknowledging the transformative power of data analytics in making informed decisions for population health. So, if you're ready to revolutionize your understanding of healthcare analytics, this episode is just the ticket.
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