AI-powered ‘deep medicine’ could transform healthcare in the NHS
Today’s NHS faces severe time constraints, with the risk of short consultations and concerns about the risk of misdiagnosis or delayed care. These challenges are compounded by limited resources and overstretched staff that results in protracted patient wait times and generic treatment strategies. Staff can operate with a surface level view of patient data, relying on basic medical histories and recent test results. This lack of comprehensive data interferes with their ability to fully understand patient needs and compromises the accuracy and individualisation of diagnoses and treatments. Such a healthcare approach, characterised by these limitations and engagements, could aptly be…This story continues at The Next Web
Today’s NHS faces severe time constraints, with the risk of short consultations and concerns about the risk of misdiagnosis or delayed care. These challenges are compounded by limited resources and overstretched staff that results in protracted patient wait times and generic treatment strategies. Staff can operate with a surface level view of patient data, relying on basic medical histories and recent test results. This lack of comprehensive data interferes with their ability to fully understand patient needs and compromises the accuracy and individualisation of diagnoses and treatments. Such a healthcare approach, characterised by these limitations and engagements, could aptly be…
This story continues at The Next Web