INTERVIEW
What are the primary objectives and the key goals of the Lippincott Nursing Advisory Board?
The Lippincott Nursing Advisory Board has been launched to elevate nursing excellence in India by creating a collaborative platform for thought leadership and innovation. Its core objectives include- advising on clinical and professional trends, offering feedback on products and messaging, supporting market and industry intelligence, addressing leadership challenges such as compliance and onboarding, identifying knowledge and technology gaps, and supporting academic practice integration.
The Board also focuses on digital skillbuilding and advocates for standardizing a higher quality of care to improve patient outcomes. These goals aim to advance nursing excellence, digital transformation in healthcare, and interdisciplinary collaboration aligning with Wolters Kluwer’ s mission to“ Make it Better.”
Key challenges facing the nursing profession today, and how does the Lippincott Nursing Advisory Board plan to address them?
The nursing profession today faces several key challenges, including workforce shortages, increasing patient complexity, burnout, and the need for continuous upskilling to keep pace with evolving healthcare technologies. The Lippincott Nursing Advisory Board addresses these by bringing together senior professionals from academia, hospital operations, and policy to co-create scalable solutions. We want to provide evidence-based resources, foster professional development, and promote best practices in nursing education and clinical care. Through collaboration with nursing leaders and practitioners, the Board aims to develop innovative tools and strategies that support nurses in delivering high-quality patient care, improve job satisfaction, and adapt to the dynamic healthcare environment.
What role could AI or data analytics play in future to develop scalable, localized solutions for a diverse healthcare ecosystem like India’ s?
AI and data analytics are critical enablers for scalable, localized healthcare solutions in India. With its vast and varied population, India requires healthcare models that can adapt to different languages, cultural contexts, and resource levels. AIenabled solutions, such as clinical decision support systems and intelligent content delivery platforms, are designed to adapt to regional
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BioVoiceNews | June 2025