To prevent further harm and ensure families aren’t left behind again, we must use data more proactively — not only to close gaps in coverage but also to support accountability in how care continuity is managed.
Centralized data aggregation is a necessity for homecare providers looking to address fragmentation, improve outcomes, and stay competitive in the rapidly evolving landscape. The path forward requires investment in tools that collect and transform data into actionable information.
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It’s not that the data isn’t there. We have years of claims, pharmacy, and clinical data that can tell who’s at risk for serious behavioral health disorders, who’s currently being treated for them, and what actually works. The problem is how health plans are looking at all that data.
The right technology infrastructure enables organizations to link their teams and achieve better care outcomes while improving operational efficiency and developing lasting resilience.
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Ultimately, the benefits of establishing a data-driven culture reach far beyond improved analytics. It enables a smarter, faster, and more inclusive decision-making process that leads to better care for patients, reduced provider burnout, and stronger financial resilience
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The ability to harness real-world insights at scale empowers life sciences companies and clinicians to develop more targeted therapies, improve patient outcomes, and drive evidence-based innovation in BPH treatment.
Inaccurate provider data is creating a hidden crisis in healthcare by delaying care and driving up costs for both patients and health plans, according to CAQH CEO Sarah Ahmad. Her organization is working to address the issue by improving how provider data is collected and verified on the front end.
A very small percentage of health outcomes are tied to direct healthcare activities. The non-medical factors, conditions in which people are born, grow, live, and work in, more often than not, impact health outcomes more than the clinical care they receive.
By aligning incentives and encouraging collaboration across sectors, we can build a resilient system that adapts to changing needs and delivers value to all stakeholders.
Yusuf Qasim, President of Payments Optimization at Zelis, discussed how the company is transforming healthcare payments from a fragmented, patchwork system into a modern, digital infrastructure.
Engaging in data sharing, observational cohort research, and deeper analysis of available data to yield further insights can drive improved results for patients, making label and cohort extension faster and more robust.
AI must navigate highly sensitive, regulated and proprietary data. The big question is: How can healthcare providers securely leverage AI while maintaining trust, privacy and compliance?
In this game of 3D chess, our opponent is becoming more sophisticated, and healthcare organizations must constantly focus on protecting their most valued pieces, their data. The possible ramifications across healthcare are too valuable to let our guard down.
They allow organizations to break down industry-wide data silos and share data with research partners while maximizing compliance and confidentiality. With the right mindset and implementation, this tech could unlock enormous value for healthcare R&D.
While it might take another decade for widespread advanced digital surgery, the foundations are being laid today.