The Use of Collaborative Intelligence to Transform Healthcare Services Digitally
In a recent review published in npj Digital Medicine, researchers explored the potential of collaborative intelligence in revolutionizing healthcare services through digital transformation. Collaborative intelligence, a system that combines artificial intelligence (AI) and human expertise, has the ability to address information overload, complexity, and inequities in clinical treatment. By incorporating advanced analytics and computational power, while also involving clinical participation and understanding of algorithms, collaborative intelligence can improve patient care and reduce clinician workload.
The Vision and Advantages of Collaborative Intelligence
Collaborative intelligence is a digital method that combines modern analytics and computational capacity with the understanding that human input is crucial for training data completeness, accuracy, and eliminating bias. This technology has already transformed radiology by incorporating imaging and non-imaging information into clinical treatment across various disciplines. Rather than replacing human intelligence, collaborative intelligence aims to refine algorithms, offering a new perspective on how data technology can be embraced in medicine while maintaining the crucial clinician-patient interaction. It addresses the current healthcare challenge of limited clinical staff and increasing disease burden by utilizing continuous care models, optimizing resource allocation, and minimizing gaps in quality and access.
The Role of Collaborative Intelligence in Clinical Care
AI and collaborative intelligence are revolutionizing healthcare by providing more efficient and effective treatment. Clinical decision support, powered by data analytics and collaborative intelligence, optimizes treatment by utilizing patient-level data and recommendations. Generative AI, which uses massive language models to scan and search text, provides human-like intelligence in answering queries. Blended care, combining in-person and virtual synchronous visits, promotes convenience, lowers expenses, and creates a non-threatening environment for patients. Digital tracking and wearables play a crucial role in remote cardiovascular care screening, monitoring, and therapy. Additionally, AI-enabled digital screening methods help detect disease progression early and optimize clinical processes, especially in cases where remote or tertiary center monitoring is not possible. Ensuring fair access to technology is essential for the success of collaborative intelligence systems.
To bring the curtain down, collaborative intelligence offers a promising solution to the challenges faced by the healthcare industry. By harnessing the power of AI and human expertise, healthcare services can be digitally transformed to provide more efficient, accessible, and patient-centered care. As the field continues to evolve, it is essential for clinicians and researchers to work together in developing algorithms and evidence-based practices to optimize the use of collaborative intelligence in clinical care.