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

Unlocking AI's Potential: The Need for Global Healthcare Datasets

Update The Importance of Diverse Data in AI Healthcare ModelsAs artificial intelligence (AI) becomes a cornerstone in the healthcare sector, the significance of employing diverse and global datasets cannot be overstated. Many existing AI models largely depend on data sourced from the U.S. and Europe. This narrow focus can create biases, potentially limiting treatment options and affecting patient outcomes. By including perspectives and insights from various global regions, we can enhance the relevance of AI applications in diverse populations, ultimately leading to more personalized care.Bias in AI: A Barrier to EquityThe reliance on biased datasets can perpetuate healthcare disparities, emphasizing the need for an inclusive approach. John Orosco, the CEO of Red Rover Health, highlights that overlooked insights from other parts of the world can lead to missed opportunities for effective treatments. Integrating these perspectives not only enriches our understanding but also empowers patients to explore comprehensive treatment options.Overcoming Data Fragmentation ChallengesOne of the primary challenges facing AI in healthcare today is data fragmentation. Vital patient information is often trapped across disparate systems, making it difficult for AI models to function at their best. To maximize the effectiveness of these models, healthcare organizations must prioritize the integration of comprehensive datasets which can include unstructured data elements that are typically ignored.Connecting AI to Genomics and Precision MedicineAI’s relationship with genomics opens doors to unprecedented advancements in precision medicine. By utilizing diverse data, AI can identify patterns and therapeutic needs that are often ignored. This not only helps clinicians personalize patient care but also fosters collaborations across healthcare systems to ensure that non-mainstream therapies are considered as viable treatment options for patients.Future Directions: The Path to Inclusive AIAs we look to the future, the evolution of AI in healthcare is deeply tied to our ability to overcome these data challenges. Organizations must adapt by embracing a more global mindset when developing AI models. This shift will not only enhance treatment effectiveness but also ensure equitable healthcare access for various demographic groups. The potential of AI stands ready to reshape healthcare narratives if we leverage the right data for our systems.How will we ensure that AI truly realizes its potential in healthcare? By embracing global datasets that facilitate a more inclusive approach, we can build a healthcare system that is responsive to the needs of all patients.

Cathy Tie and Anthropic's New AI Models: Redefining Tech and Ethics

Update Unveiling the Face Behind "China's Frankenstein" In a world where technological advancements often stir public debate, the re-emergence of He Jiankui, the Chinese biophysicist notorious for gene-editing, brings significant intrigue. Following his release from prison in 2022, He has been making headlines, now aided by Cathy Tie, his new wife and a prominent figure in the biotech community. Once focused on creating genetic marvels, including glow-in-the-dark pets as part of her Thiel Fellowship project, Tie has recently transformed his public image through her engagement on platforms like X.com, showcasing a blend of candid life updates and provocative commentary. Together, they represent a curious intersection of science, ethics, and personal branding in the 21st century. Anthropic's Play: Revolutionizing AI with Long-Lasting Agents On the technological front, the unveiling of Anthropic’s latest AI model, Claude Opus 4, signifies another leap forward in artificial intelligence capabilities. Promising greater autonomy and intelligence, this model can engage in tasks for several hours at a stretch—an impressive feat compared to its predecessor’s mere 45 minutes of engagement. As AI becomes increasingly embedded in various industries, the potential applications of Claude Opus 4 are vast, from storytelling in gaming to assisting in complex decision-making processes. With its ability to take on challenging tasks efficiently, it beckons a new era of AI utilization in the workplace and beyond. Connections to Current Tech Trends The spotlight on both Cathy Tie and the efficiency of AI agents offers a crucial lens into how public perception and technological innovation interact. Tie’s relationship with He serves as a reminder of the ethical complexities surrounding biotechnological advancements, while Anthropic’s strides in AI highlight the ongoing pursuit of autonomy in machines. These narratives resonate deeply within the community keen on understanding the implications of emerging technologies, shaping the discourse around their ethical and practical dimensions. As these stories unfold, it becomes ever more critical for the public to stay informed and engaged in conversations about the future of technology, ethics, and the lives they will shape.

How AI is Transforming Radiology for Better Patient Care

Update Revolutionizing Radiology: The Role of AI As technology progresses at an unprecedented pace, artificial intelligence (AI) is emerging as a transformative force in various sectors, and radiology is no exception. At UW Health in Wisconsin, radiologists are leveraging advanced AI tools to enhance workflows and bolster diagnostic accuracy. With AI integration, imaging processes, from MRI to CT scans, are becoming faster and more efficient. AI Tools Enhancing Diagnostic Support One notable application of AI in radiology is the use of computer-assisted detection systems. These tools can swiftly analyze medical images and flag potential anomalies. Dr. Scott Reeder, the chair of the radiology department at UW School of Medicine, notes that X-rays can be examined almost instantaneously, allowing physicians to act on urgent findings without delay. Such capabilities significantly improve patient outcomes, especially in emergency settings. Addressing Workforce Challenges with AI The healthcare sector currently faces challenges like workforce shortages and clinician burnout. AI presents a viable solution by alleviating some of these burdens. By automating routine tasks, it releases radiologists to focus on more complex analyses, potentially increasing job satisfaction and enhancing clinical decision-making. As AI technologies continue to progress, their integration promises to shape a more efficient healthcare system. Considerations for Effective AI Adoption However, the path to seamless AI integration requires significant investment in technology infrastructure. Organizations must ensure that their current systems can support AI adoption, including adequate computing power and robust governance frameworks. As highlighted by IDC Health Insights' Mutaz Shegewi, successful integration hinges on updating workflows to accommodate AI advancements beyond merely implementing new tools. Future of Radiology: Envisioning AI's Impact The landscape of healthcare is evolving, and AI is poised to play a critical role in shaping the future of radiology. As more FDA-approved solutions become available, we can expect enhanced imaging capabilities and streamlined operations. Radiologists and tech innovators must continue collaborating to navigate this technological revolution effectively.

Add Row
Add Element
Glytain Logo
update
WorldPulse News
cropper
update

Glytain empowers healthcare professionals and businesses to navigate the evolving digital landscape, driving innovation and improving patient outcomes. 🚀

  • update
  • update
  • update
  • update
  • update
  • update
  • update
Add Element

COMPANY

  • Privacy Policy
  • Terms of Use
  • Advertise
  • Contact Us
  • Menu 5
  • Menu 6
Add Element

+639220000000

AVAILABLE FROM 8AM - 5PM

City, State

, ,

Add Element

ABOUT US

At Glytain, we bridge the gap between healthcare and technology by delivering expert insights, cutting-edge trends, and in-depth analysis of digital health innovations. Our platform is designed for healthcare professionals, tech innovators, and forward-thinking businesses looking to stay ahead in the rapidly evolving healthcare landscape.

Add Element

© 2025 CompanyName All Rights Reserved. Address . Contact Us . Terms of Service . Privacy Policy

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
*
*
*