5. Supporting multidisciplinary collaboration in cancer care
Beyond analyzing single sources of data, there are also examples of AI in healthcare that show it can help connect previously disconnected and disparate patient data – providing novel insights that support healthcare professionals in their decision-making.
In cancer care, for example, AI can help integrate information across different clinical domains such as radiology, pathology, EHR systems, and genomics – providing a clear, intuitive view of the patient’s disease state. This can assist multidisciplinary tumor boards in making timely, informed treatment decisions, to give every patient the best chance of a positive treatment outcome.
In the future, the intelligent integration of data could give further insight into a patient’s prognosis, supporting selection of the best care pathway for that particular patient based on an analysis of treatment outcomes for similar patients.