Hospitals and health systems are under significant financial strain due to rising costs driven by workforce shortages, supply chain issues, and inflation, as reported by the American Hospital Association. CMS reimbursement rates have not kept up with these increasing expenses, putting additional financial pressure on hospitals that provide essential services, particularly in rural areas. Administrative costs are rising due to commercial payer practices, such as claims denials and prior authorization requirements, further burdening hospitals. Drug and supply costs have also surged, exacerbated by drug shortages and the need for new medical technologies. Labor costs remain a critical issue, with significant expenses tied to contract labor and efforts to attract and retain staff. The AHA is calling for legislative and administrative actions to mitigate these challenges and ensure continued access to care.

Hospitals see no respite from cost pressures Becker's Hospital Review

A recent article highlights key vulnerabilities in healthcare cybersecurity, reflecting insights from security executives. The primary concerns include a lack of shared organizational goals, risks associated with third-party vendors, inefficiencies in multi-factor authentication, and slow response times to breaches. These issues underscore the urgent need for improved security measures in the healthcare sector to prevent massive data breaches.

Cybersecurity execs share healthcare's biggest vulnerabilities Modern Healthcare

Craig Kwiatkowski, senior vice president and CIO at Cedars-Sinai, leads efforts to advance AI in healthcare, notably through the AI-powered virtual primary care app Cedars-Sinai Connect, which increased primary care capacity by 11% since its launch in fall 2023. His approach to AI integration balances building internally and utilizing existing vendor solutions like Oracle and Epic to enhance outcomes and reduce clinician burnout. Kwiatkowski emphasizes the importance of seamless integration into existing workflows to drive adoption and effectiveness, with a cautious yet optimistic stance on emerging generative AI tools for long-term potential. This interview discusses the strategic considerations of AI development and integration in healthcare.

Cedars-Sinai CIO's tips to ensure genAI is fair, appropriate, valid, effective and safe Healthcare IT News

Effective data governance is essential for seamless connection and data sharing across regulatory, safety, clinical research, and manufacturing processes in the pharmaceutical industry. Key strategies for implementing data quality governance include starting with manageable steps, challenging myths about its complexity and cost, and focusing on culture and organization rather than just technology. Critical elements include establishing clear data quality roles, embedding a data quality mindset, and maintaining transparency and continuous improvement. A phased approach—starting with setting up a framework, followed by operational adjustments and eventually cultural integration—ensures systematic and sustainable improvements in data quality.

Effective data quality governance: challenging five common myths European Pharmaceutical Review