Some physicians will spend upwards of 70% of their time managing data rather than managing patients. Yet what if a lot of this data management could be automated?
Voice recognition can be used to automate the recording of notes, which allows us to envisage a future where conversations between a patient and their doctor are automatically recorded and transcribed. The system could highlight words that require human attention and prompt for tests or follow up when the conversation or context reflects the need. Once the visit is complete, the HCP can review the recorded exchange for both accuracy and to authorize the actions desired.
AI depends on data. The more data is available, the greater the potential of that AI. Presently, electronic medical record (EMR) systems do not have the ability to import data generated by the patient. However, given the rise of wearable technologies, the patient is increasingly generating more data than their physician is in a position to collect. An AI-driven EMR would be able to both import this data and make sense of it, allowing the EMR to more accurately reflect the overall health of the patient.
Perhaps the patient should have more direct contact with their health record? Bright.md is an example of an automated intelligent assistant that helps screen patients. Programmed to interact with the patient and ask questions about their need to see an HCP, it helps manage scarce resources by collecting important information from the patient while also assessing who they should see and what resources they may require.
AI will require human supervision for the foreseeable future, but it can adequately perform mundane tasks that free up humans to focus on the more fundamentally human stuff.