Operationalizing AI-generated data to help providers and patients

AI to human: How can data empower clinicians?

The type of AI that is best for your organization depends on the level of productivity you need to achieve. But no matter the type, data generated by AI must be operationalized — used within your workflows — to improve decision-making for clinicians and create better patient outcomes. These tips can help your organization operationalize AI:

• Understand where the data is coming from and whether it’s accurate.
  Trusting the source of the data and validating it against the patient will ultimately help in using it effectively to care for the patient.
  
  
• View data as a resource so that the prediction recommendations are relevant to the care setting and patient.
  As AI delivers data around predictions and risk factors, clinicians must operationalize that data by being mindful about applying it in productive and impactful ways in the care setting.
  
  
• Gather real-time recommendations as part of the system workflow.
  Getting AI as close to real time as possible will help clinicians make more informed decisions and create more positive impacts for patients.

This approach to operationalizing AI is not meant to replace the clinician, but instead empower them to do their jobs more efficiently to make more time for patient care and achieve better work-life balance.