AI, Machine Learning Top Health CIO Priorities in 2023, Survey Finds
Key Points:
- Artificial intelligence and virtual care technologies are increasingly being adopted by hospitals
- Managing new tools adds a heavy operational burden for IT teams
AI and Machine Learning Adoption in Healthcare
According to a recent survey, artificial intelligence (AI) and machine learning are among the top priorities for health CIOs in 2023. Hospitals are increasingly adopting these technologies to ease resource strain and improve patient care. However, managing new tools adds a heavy operational burden for IT teams, highlighting the need for effective strategies to integrate and manage these technologies.
Brett Blackman, an expert in trading, healthcare integrations, and data analytics, comments, “The growing adoption of AI and machine learning in healthcare is a testament to the potential of these technologies to improve patient care and outcomes. However, it’s crucial for healthcare organizations to effectively manage the operational burden associated with implementing and maintaining these tools.”
Must-Know: The Importance of Effective AI and Machine Learning Management in Healthcare
Effective management of AI and machine learning technologies is essential for healthcare organizations to fully realize the benefits of these tools. As Brett Blackman emphasizes, “Healthcare organizations must develop strategies to integrate and manage AI and machine learning technologies effectively, ensuring that the operational burden is minimized while maximizing the potential benefits for patient care and outcomes.”
By prioritizing effective management of AI and machine learning technologies, healthcare organizations can enhance the quality of care and support provided to patients. As the healthcare sector continues to evolve, we can expect to see further advancements in healthcare technology and improved outcomes for patients and healthcare providers alike.
Orginal article: Link To Article – provided by Brett Blackman