Blue Cross Blue Shield of Michigan (BCBSM) has transformed from the least to the most efficient technology user in the Blue Cross system, based on technology cost per employee. This shift was achieved through a comprehensive overhaul of their core infrastructure, incorporating new technologies such as cloud computing, enhanced security protocols, extensive mobile support, over 20 production AI applications, and generative AI (gen AI). BCBSM now uses three gen AI applications and plans to market them to other companies while adhering to over 700 regulatory requirements. The company’s management attributes their success to seven guiding principles identified in interviews. This case highlights the importance of strategic infrastructure renovation and agility in leveraging advanced technologies in healthcare.

How One Major Healthcare Firm Became the Leader in Innovative AI Use Harvard Business Review

Health system CEOs in rural Northeast regions, including Dartmouth Health in New Hampshire, MaineHealth, and the University of Vermont Health Network, are urging federal lawmakers to adopt new policies and increase funding to support rural hospitals. They argue that current Medicare and Medicaid reimbursements are insufficient, leading to financial strain as hospitals deliver essential services like primary care, mental health, and long-term care. To maintain access to care amid rising costs and workforce shortages, the CEOs propose increased federal funding, reduced regulatory burdens, and greater flexibility in care provision. Additionally, local insurers' premium hikes further complicate the healthcare landscape, emphasizing the need for federal intervention to sustain rural healthcare services.

Rural northeast health system CEOs seek federal support Healthcare Finance News

OSF HealthCare, a 16-hospital system based in Peoria, Illinois, has instituted mandatory generative AI training for all 24,000 employees, from custodians to the CEO. This initiative aims to improve efficiency and productivity across the organization. To address varied AI literacy levels and short attention spans, OSF developed a brief, engaging course using mixed media and generative AI tools. Completed by nearly 79% of employees, the training has elevated AI understanding and relevance among staff. This comprehensive approach highlights the necessity of continuous learning to keep pace with evolving AI technologies and organizational needs.

OSF HealthCare mandates genAI training to create an AI-ready workforce Healthcare IT News

AI will not replace human healthcare providers, according to health system leaders, who emphasize that all patient care decisions, such as clinical trials, prescriptions, and surgeries, should involve physicians, patients, and their families. While some Chinese researchers are exploring AI hospitals, U.S. regulations and ethical considerations prevent such a development. Patient consent is crucial for AI tools like "digital twins" and AI-generated videos. However, AI is encouraged for administrative tasks to reduce costs and burdens. Experts agree that healthcare should focus on human-AI collaboration, ensuring ethical and compassionate care.

Which parts of healthcare are off limits to AI? Becker's Hospital Review

Blue Cross Blue Shield of Michigan (BCBSM) has transformed from the least to the most efficient technology user in the Blue Cross system, based on technology cost per employee. This shift was achieved through a comprehensive overhaul of their core infrastructure, incorporating new technologies such as cloud computing, enhanced security protocols, extensive mobile support, over 20 production AI applications, and generative AI (gen AI). BCBSM now uses three gen AI applications and plans to market them to other companies while adhering to over 700 regulatory requirements. The company’s management attributes their success to seven guiding principles identified in interviews. This case highlights the importance of strategic infrastructure renovation and agility in leveraging advanced technologies in healthcare.

How One Major Healthcare Firm Became the Leader in Innovative AI Use Harvard Business Review

Health system CEOs in rural Northeast regions, including Dartmouth Health in New Hampshire, MaineHealth, and the University of Vermont Health Network, are urging federal lawmakers to adopt new policies and increase funding to support rural hospitals. They argue that current Medicare and Medicaid reimbursements are insufficient, leading to financial strain as hospitals deliver essential services like primary care, mental health, and long-term care. To maintain access to care amid rising costs and workforce shortages, the CEOs propose increased federal funding, reduced regulatory burdens, and greater flexibility in care provision. Additionally, local insurers' premium hikes further complicate the healthcare landscape, emphasizing the need for federal intervention to sustain rural healthcare services.

Rural northeast health system CEOs seek federal support Healthcare Finance News

OSF HealthCare, a 16-hospital system based in Peoria, Illinois, has instituted mandatory generative AI training for all 24,000 employees, from custodians to the CEO. This initiative aims to improve efficiency and productivity across the organization. To address varied AI literacy levels and short attention spans, OSF developed a brief, engaging course using mixed media and generative AI tools. Completed by nearly 79% of employees, the training has elevated AI understanding and relevance among staff. This comprehensive approach highlights the necessity of continuous learning to keep pace with evolving AI technologies and organizational needs.

OSF HealthCare mandates genAI training to create an AI-ready workforce Healthcare IT News

AI will not replace human healthcare providers, according to health system leaders, who emphasize that all patient care decisions, such as clinical trials, prescriptions, and surgeries, should involve physicians, patients, and their families. While some Chinese researchers are exploring AI hospitals, U.S. regulations and ethical considerations prevent such a development. Patient consent is crucial for AI tools like "digital twins" and AI-generated videos. However, AI is encouraged for administrative tasks to reduce costs and burdens. Experts agree that healthcare should focus on human-AI collaboration, ensuring ethical and compassionate care.

Which parts of healthcare are off limits to AI? Becker's Hospital Review