Where AI will impact healthcare in 2024

In 2024, leaders in the digital health space anticipate a broader adoption of AI in healthcare, building upon the increased use in 2023. Predictions include the use of AI in physician-facing tools to alleviate provider burnout, addressing consumer loneliness, and focusing on solving fundamental healthcare challenges. Key points from industry experts include the importance of developing AI strategies independent of a single platform due to uncertainties, prioritizing practical applications of AI for transparent healthcare solutions, and the rapid adoption of AI in the biopharma industry.

The industry is expected to enter a "Cambrian explosion" of AI in healthcare, utilizing algorithms to personalize care, deliver AI-driven therapy sessions, and solve complex healthcare problems. Specific trends include the use of generative AI for training content for doctors, solving healthcare challenges, and addressing loneliness. Generative AI is predicted to transform healthcare by improving efficiency in claim management, turning unstructured data into insights, and accelerating clinical trials.

The adoption of AI in the clinical setting, particularly generative AI for clinical decision support, is anticipated to evolve, offering potential benefits for accurate and efficient decision-making at the point of care. However, challenges such as workflow constraints and economic considerations may impact the widespread adoption of AI applications.

Finally, generative AI is expected to play a crucial role in addressing the global shortage of health workers, with the potential to provide scalable solutions for healthcare staffing crises. Overall, the industry is poised for significant advancements in AI applications across various healthcare sectors in 2024.