Collaborative Intelligence: The Future of AI and Human Learning in Healthcare
By João L. Carapinha
September 28, 2023
In the rapidly evolving landscape of healthcare, the concept of collaborative intelligence is emerging as a transformative force. The new approach uses AI and human learning to improve patient care, which is a promising future for healthcare.
Collaborative intelligence strives to enhance outcomes through collective data interpretation, a stark contrast to the human-in-the-loop (HITL) approach, which leverages both AI and human collaboration for quick algorithm development. This technology has already significantly transformed areas like radiology, and it will further integrate information beyond imaging, enhancing clinical care across multiple specialities.
This new type of intelligence is on the rise due to a shortage of doctors and an increase in disease. In addition to these difficulties, complex problems, too much information, and unfair access to healthcare add to the current challenges. By implementing data analytics, AI can address these challenges and optimise patient care. Patient data has historically been disparate and disconnected in a clinical setting. However, we can now create a comprehensive picture of a patient using AI to assemble relevant patient and population data. Collaborative intelligence thus increases the value of electronic health records and provides essential support for clinical decision-making.
Generative AI, which uses large language models to read and search text and produce textual results, deserves special mention. It can reduce healthcare’s administrative workload by handling tasks like documentation, letters, forms, and reminders. Continuous data analysis provides feedback on population health, early diagnosis, and resource allocation for complex cases. Moreover, AI can also be a powerful tool for identifying patterns and outcomes.
Collaborative intelligence also demands active physician responsibility and interactivity with technology. Clinicians must understand the role of algorithms and AI in healthcare and provide rapid feedback to ensure safety. Trust is crucial for the successful implementation of these technologies.
Implementing collaborative intelligence will evolve as clinicians gain trust. Because of this, the suggestion is to start with less complex and non-urgent care in order to build trust in these systems that use collaborative intelligence. Thoughtfully created and equitably deployed collaborative intelligence is a natural progression of innovation in healthcare.
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