Add Row
Add Element
Glytain Logo
update
Glytain.com
update
Add Element
  • Home
  • Categories
    • Healthcare
    • Innovation
    • Digital
    • Marketing
    • Analysis
    • Insights
    • Trends
    • Empowerment
    • Providers
    • Tech News
    • Extra News
March 12.2025
2 Minutes Read

Why Healthcare Providers Should Share Risk in AI Contracts

Blue dollar symbol highlighting shared risk in healthcare AI contracts

AI and Healthcare: A Shared Journey into Risk Management

The integration of Artificial Intelligence (AI) in healthcare is more than just a technological shift; it's a transformation that demands new models of collaboration between hospitals and tech providers. Zafar Chaudry, Chief Digital Officer and Chief AI and Information Officer at Seattle Children’s, emphasizes that the conversations surrounding healthcare AI are evolving, particularly concerning how contracts should be structured. Hospitals, he argues, ought to enter into agreements that allow for shared risk.

Why Risk Sharing Matters in AI Contracts

Contracts that are solely focused on compensating for time and resources often result in growing expenses without guaranteeing outcomes. Chaudry points out that healthcare could benefit significantly from a milestone-based payment system where suppliers are rewarded based on product performance. This approach not only aligns the interests of both parties but also mitigates the financial burden on healthcare providers.

Navigating the Governance of AI in Healthcare

The landscape of healthcare AI governance is rapidly changing. Over the past year, heightened concern has arisen regarding ethical implications and the transparency of AI applications used in patient care. Various organizations, such as the Coalition for Health AI Coverage (CHAI) and VALID AI, are working on developing standardized governance frameworks, a crucial step in ensuring the technology is applied responsibly and effectively.

The Case for Collaborative Development

Developing AI solutions is inherently complex, and Chaudry's analogy comparing it to selecting and using mobile applications underscores this point. Just as users must adapt apps to fit their needs, hospitals must collaborate closely with AI developers to ensure tailored solutions that genuinely address specific operational challenges. Without this partnership, projects risk falling short of expectations.

Future Trends: Accountability in Value-Based Care

As the healthcare sector shifts toward a value-based care model, it becomes increasingly clear that accountability is integral to success. This model holds providers responsible for care outcomes and costs, aligning with the risk-sharing principles that Chaudry advocates for. Implementing collaborative arrangements not only enhances the quality of care but also fosters an environment where both care teams and patients can share in the rewards of resilience and innovation.

For healthcare IT professionals and digital health innovators, the time is ripe to foster these conversations about risk-sharing in contracts with AI developers. Such alliances could lead to breakthrough advancements in technology that not only meet the needs of today but also pave the way for a more efficient and effective healthcare system in the future.

Tech News

Write A Comment

*
*
Related Posts All Posts

Nvidia's Revenue Boom Highlights Dependency Risks for Healthcare Technology Providers

Update Rising Revenue Dependence on Major Clients Nvidia’s remarkable ascent in second-quarter earnings has brought to light a notable trend in its revenue structure: nearly 40% of its income came from just two undisclosed clients, referred to as 'Customer A' and 'Customer B'. This revelation, discussed in their filing to the Securities and Exchange Commission, is equally intriguing and concerning, especially considering the healthcare sector's growing reliance on technology solutions. The Shadow of Major Clients in Technology In many sectors, including healthcare technology, a small number of clients often account for a disproportionately large share of revenue. Nvidia's Chief Financial Officer, Nicole Kress, indicated that large cloud service providers generate significant revenue for Nvidia's data centers, which represent a staggering 88% of total revenue. This concentration poses risks that echoes through industries reliant on technological advances. Implications for Healthcare Technological Investments The healthcare industry heavily invests in technology, frequently engaging with companies like Nvidia for pivotal advancements in AI, machine learning, and data processing. Understanding the trends outlined in Nvidia's revenue generation sheds light on potential vulnerabilities within this supply chain, as the dependency on a few major clients can destabilize innovation and pricing if sustained relationships falter. Future Predictions: Balancing Risk and Growth As we embrace technological innovations in healthcare, stakeholders must consider diversifying their sources of technology. The information regarding Nvidia's substantial revenue dependence offers an opportunity for healthcare providers to engage with a broader range of technology partners, ensuring a more resilient supply chain in a sector perpetually on the brink of transformation. Ultimately, while Nvidia boasts impressive growth figures, the lessons gleaned from their client dependency can inspire healthcare organizations to proactively seek out varied partnerships, enhance their tech ecosystems, and safeguard against market volatility.

Transforming Infrared Light: The Anti-Stokes Effect Explained

Update Unveiling the Anti-Stokes Effect in Phosphor Sheets In the fascinating world of physics, the anti-Stokes effect has emerged as a leading phenomenon with intriguing applications. This effect, compellingly demonstrated through a phosphor sheet, allows invisible infrared light to be transformed into visible red light. As technology advances, understanding such principles not only enhances our scientific knowledge but also paves the way for real-world applications.In Phosphor sheet causes anti-Stokes effect that turns invisible infrared light into visible red light!, the discussion dives into a fascinating scientific principle, prompting a closer look at its potential impact on technology and innovation. Why This Discovery Matters The conversion of infrared light into visible wavelengths can significantly impact various fields, especially in advanced imaging technologies. For instance, in healthcare, this discovery could enable better diagnostic tools that utilize infrared light, enhancing the clarity of medical imaging processes. Future Trends and Possibilities As more research is conducted, the potential for integrating phosphor sheets into consumer technology becomes more apparent. Imagine household devices that could harness this anti-Stokes effect to improve visibility during nighttime or poorly lit conditions, enhancing safety and convenience. Inspiring Innovation through Science Innovation often stems from understanding complex scientific principles. The exploration of the anti-Stokes effect encourages young scientists and innovators to delve deeper into physics, potentially leading to groundbreaking inventions that can improve our everyday lives. In summary, the recent findings surrounding phosphor sheets and the anti-Stokes effect open up numerous avenues for innovation and technological advancement. As we continue to explore the unknown, embracing scientific curiosity can lead to exciting developments in various fields.

Explore the Future of AI in Healthcare at TechCrunch Disrupt 2025

Update AI Spotlight at TechCrunch Disrupt: A Must-Attend for Healthcare Tech Innovators As we approach TechCrunch Disrupt 2025, happening from October 27 to 29 at San Francisco's Moscone West, the intersection of artificial intelligence (AI) and healthcare technology will take center stage. Supported by innovative partners JetBrains and Greenfield, two pivotal sessions promise to unveil insights that are particularly relevant for healthcare IT professionals and administrators. Unveiling the AI Disruptors 60: A Game Changer for Healthcare One highlight of the conference is the session titled “Who’s Defining AI’s Future in 2025? The AI Disruptors 60 Unveiled,” taking place on Monday, October 27. Hosted by Greenfield Partners, this panel will disclose the AI Disruptors 60—a carefully curated list of up-and-coming startups that are pushing the boundaries of AI applications. Given the rapid evolution of healthcare technology, understanding these emerging players can help providers and administrators leverage the latest innovations to improve patient care and operational efficiencies. AI Built for Developers: Quality Over Speed The conversation continues on Tuesday, October 28, with the session “Vibe coding? Cute. Now let’s get real and talk about AI built for developers,” led by Kirill Skrygan, CEO of JetBrains. In this session, attendees will gain valuable insights into how AI can enhance software development, focusing not just on the speed of coding but on the quality of the output. For healthcare IT professionals, this distinction is crucial; as more healthcare solutions depend on robust software, ensuring high-quality code can significantly impact patient outcomes. Why You Should Attend these Sessions The discussions facilitated by JetBrains and Greenfield underscore the growing role of AI in healthcare technology. With artificial intelligence poised to solve complex problems in this sector—ranging from improving electronic health records to personalizing patient care—attending these sessions offers a direct line to learn from the forefront of innovation. Don't miss your chance to engage with industry leaders and gather insights that could inform your organization's technology strategies. Mark your calendar for TechCrunch Disrupt 2025, and ensure that these sessions are on your must-see list!

Terms of Service

Privacy Policy

Core Modal Title

Sorry, no results found

You Might Find These Articles Interesting

T
Please Check Your Email
We Will Be Following Up Shortly
*
*
*