Jan Beger’s Post

Better self management, as is being designed by HER Heard in #womenshealth, is a top function offered by #AI in #healthcare.

This paper explores the implementation and potential benefits of AI applications within the healthcare industry, focusing on how these technologies can transform healthcare management and patient care through various value propositions. 1️⃣ It identifies and categorizes 15 business objectives across six main value propositions: risk-reduced patient care, advanced patient care, self-management, process acceleration, resource optimization, and knowledge discovery. 2️⃣ The study underlines AI's role in advancing healthcare by providing insights into how AI applications can contribute to strategic healthcare management, support decision-making processes, and improve patient outcomes. 3️⃣ The paper provides a comprehensive framework for healthcare organizations to assess the potential impact and value of AI technologies in their operations, emphasizing the importance of aligning AI strategies with broader organizational goals. ✍🏻 Jasmin Hennrich, Eva Ritz, Peter Hofmann, Nils Urbach. Capturing artificial intelligence applications’ value proposition in healthcare – a qualitative research study. BMC Health Serv Res 24, 420 (2024). DOI: 10.1186/s12913-024-10894-4 💡 It is imperative for healthcare organizations to invest in AI technologies strategically, ensuring that such investments are aligned with their overall goals to improve patient outcomes and operational efficiency. This study provides a solid foundation for healthcare professionals and organizations to understand the multifaceted value propositions of AI, encouraging them to adopt AI-driven solutions in a way that maximizes their potential benefits while addressing challenges such as data privacy, ethical considerations, and the need for robust, interpretable AI models. ✅ Join our community of 29k curious minds! Subscribe to our newsletter for your front-row seat to the latest groundbreaking studies. Get started here: https://lnkd.in/eR7qichj.

Insightful read on AI's transformative role in healthcare: Identifies key areas for AI integration to bolster patient care and streamline operations. A blueprint for aligning AI with healthcare goals, mindful of ethical and privacy concerns. #HealthcareInnovation #AI #DigitalHealth #PatientOutcomes

This paper explores the implementation and potential benefits of AI applications within the healthcare industry, focusing on how these technologies can transform healthcare management and patient care through various value propositions. 1️⃣ It identifies and categorizes 15 business objectives across six main value propositions: risk-reduced patient care, advanced patient care, self-management, process acceleration, resource optimization, and knowledge discovery. 2️⃣ The study underlines AI's role in advancing healthcare by providing insights into how AI applications can contribute to strategic healthcare management, support decision-making processes, and improve patient outcomes. 3️⃣ The paper provides a comprehensive framework for healthcare organizations to assess the potential impact and value of AI technologies in their operations, emphasizing the importance of aligning AI strategies with broader organizational goals. ✍🏻 Jasmin Hennrich, Eva Ritz, Peter Hofmann, Nils Urbach. Capturing artificial intelligence applications’ value proposition in healthcare – a qualitative research study. BMC Health Serv Res 24, 420 (2024). DOI: 10.1186/s12913-024-10894-4 💡 It is imperative for healthcare organizations to invest in AI technologies strategically, ensuring that such investments are aligned with their overall goals to improve patient outcomes and operational efficiency. This study provides a solid foundation for healthcare professionals and organizations to understand the multifaceted value propositions of AI, encouraging them to adopt AI-driven solutions in a way that maximizes their potential benefits while addressing challenges such as data privacy, ethical considerations, and the need for robust, interpretable AI models. ✅ Join our community of 29k curious minds! Subscribe to our newsletter for your front-row seat to the latest groundbreaking studies. Get started here: https://lnkd.in/eR7qichj.

This four-phase framework for AI system evaluation offers a comprehensive approach to assessing AI technologies in healthcare. It's designed to ensure that AI systems are safe, effective, and ethically sound. 1️⃣ Model design and purpose: This phase ensures the AI system is meticulously designed to meet specific healthcare challenges, seamlessly integrating into clinical workflows to enhance efficiency and patient care without disrupting existing processes. 2️⃣ Algorithmic validation: During this phase, the AI model undergoes rigorous testing against a wide array of datasets to assess its accuracy, reliability, and ability to generalize across diverse patient populations and settings, ensuring it performs consistently outside of its training environment. 3️⃣ Clinical validation: This critical phase involves conducting detailed clinical trials to rigorously evaluate the AI system's actual effectiveness and safety within a healthcare setting, ensuring it delivers measurable health benefits and improves patient outcomes. 4️⃣ Ongoing monitoring: Post-deployment, the AI system is continuously monitored to assess its performance in real-world clinical settings, ensuring it remains effective and safe over time, and making necessary adjustments based on evolving data and clinical practices. 🌐⇢ https://lnkd.in/d998MbmY 💡 From a clinical perspective, the deployment of AI in healthcare is not just about technological advancement; it's about significantly enhancing patient care quality and accessibility while addressing global health challenges. The outlined framework not only underscores the potential of AI to transform healthcare but also the importance of rigorous evaluation to realize this potential responsibly. ✅ Join our community of 29k curious minds! Subscribe to our newsletter for your front-row seat to the latest groundbreaking studies. Get started here: https://lnkd.in/eR7qichj.

Evaluating the training data for a model is a critical step that is often overlooked. #healthcare #AI #algorithm #data #dataintegrity #dataquality #quality

From a clinical standpoint, integrating AI into healthcare transcends mere technological progress; it profoundly amplifies the quality and availability of patient care while tackling worldwide health obstacles. This framework emphasizes not only AI's transformative capacity in healthcare but also the crucial need for thorough evaluation to ensure responsible realization of its potential.

🔬 "Artificial Intelligence Meets Healthcare: A New Era of Clinical Decision-Making" The healthcare sector is at a fascinating crossroads, with the advent of AI-powered decision-making tools. A recent article on Cureus delves into this intersection, examining the roles and decision-making processes of physicians and AI agents. Here are some key insights: 1. The decision-making processes of AI agents and physicians are fundamentally different. While AI follows specific algorithms, physicians demonstrate adaptability and flexibility. 2. Physicians are recognized for their ability to adapt to new situations, considering a variety of factors like patient context and clinical experience. AI agents, however, may struggle with unexpected scenarios. 3. A deep dive into the decision-making processes of both entities shows the need for a balanced approach that combines human expertise with AI capabilities. 4. The article highlights the challenges in integrating AI into healthcare, such as ensuring data quality and addressing potential AI biases. Yet, it also points out the opportunities where AI can augment human decision-making with more accurate and timely information. The integration of AI into healthcare is a complex process, filled with both challenges and opportunities. But one thing is clear: a balanced approach that combines the adaptability of physicians with the data-driven capabilities of AI can lead to optimal decision-making outcomes. 💡 Let's embrace this new era of healthcare, where human expertise and AI work hand in hand for better patient outcomes. What are your thoughts on the integration of AI in healthcare? How do you see it impacting your role or industry? Share your thoughts in the comments below!

85% of Healthcare Leaders Investing or Plan to Invest in Gen AI, According to the Largest Survey Reporting from the first day of #HLTHEurope in Amsterdam, it's clear that generative AI is a primary focus in healthcare! The Future Health Index (FHI) by Philips, a comprehensive study based on the insights of 3,000 healthcare leaders, is a significant resource. This extensive survey underscores the industry's increasing reliance on virtual care and AI advancements to combat pressing issues such as workforce shortages, financial constraints, and escalating service demand. Key highlights from the FHI 2024 report: 🔹 92% of healthcare leaders view automation as essential for addressing staff shortages by reducing administrative burdens. However, 65% acknowledge skepticism among healthcare staff about automation. 🔹 Nearly 89% have seen positive impacts from virtual care, including alleviating staff shortages, enhancing patient care delivery, and boosting staff satisfaction. 🔹 Generative AI is a hot topic, with 85% of leaders investing in or planning to invest in these technologies to improve clinical decision support and patient monitoring. 🔹 A significant 66% of healthcare leaders report a surge in burnout and mental health issues among their workforce, underscoring the urgent need for digital solutions to enhance efficiency and reduce workloads. This highlights the relevance of generative AI in healthcare. 🔹 Financial constraints impact patient care, with 81% of leaders noting challenges due to limited resources. Many are exploring subscription-based models for healthcare technology to mitigate upfront costs. Exciting times ahead for healthcare innovation! https://lnkd.in/eViWDAbu

Dear Healthcare Fraternity, The healthcare industry is experiencing an unprecedented influx of technological advancements, particularly in the realm of AI and machine learning. Despite the potential for these technologies to revolutionize healthcare delivery, hospital leadership often faces overwhelming challenges in prioritizing and integrating AI initiatives across their organizations. The multitude of departmental demands for AI implementation necessitates a strategic, holistic approach to ensure these technologies are leveraged effectively and sustainably. This is where our specialized service, HEALTH AI (Holistic Excellence and Leadership in Transformative Healthcare AI), comes into play. We partner with the C-suite of multifunctional hospital systems to create detailed implementation protocols, enabling leaders to make informed, strategic decisions about AI integration. Our service addresses the need for a comprehensive framework that aligns with the hospital's overall goals, enhances operational efficiency, and improves patient outcomes. Ready to transform your hospital’s AI strategy? Partner with Transnational Business Solutions and leverage our expertise to prioritize and implement AI in your hospital system. Contact us today to learn more about how we can assist your leadership team in achieving strategic and operational excellence