When AI is the engine fuelling the back end of the enterprise, it can guide employees to better advise consumers. For example, health plans have a wealth of structured and unstructured data that can be used as a training set to improve business decision making and create a continuous loop of learning. Insurers can use advanced economic models and data science to predict a consumer’s future healthcare usage and determine the best plans to meet their needs. AI also has potential to alleviate the burden of time-consuming processes, such as prior authorisation and underwriting.
As AI becomes more sophisticated, it will increasingly become a partner to clinicians, helping automate encounters and support diagnoses, thus improving labour productivity and diagnostic decision making. FDA-approved Arterys Cardio DL™ uses AI imaging to complement the work of clinicians and assist with diagnosing heart problems. The software delivers editable automated contours, providing precise ventricular function in seconds to help clinicians determine the right path forward for a patient.
AI is also more readily able to help clinicians, as it has become more intuitive and easier to use. Interfaces are now conversational and speech recognition has gotten closer to natural language, simplifying the capture of key interactions and allowing EHR data entry to happen behind the scenes.
AI is like a smart sponge—the more data it absorbs, the more intelligent it gets. As data from personal health devices, internet of health things solutions, DNA testing, genome sequencing, electronic medical records and more informs AI tools, clinicians will have keener ability to offer predictive recommendations based on a holistic view of the patient that learns over time. For instance, it could mean having insights to inform tailored guidance on the right diet and exercise plan to minimise chronic conditions, or suggestions for preventative screening to pursue, such as early testing for Alzheimer’s disease.
AI will not substitute for clinical judgment. However, it equips providers with information and answers at speed, so they may spend more time on activities that add value to the patient experience—high-touch interactions that a machine could never replace. These interactions will continue to improve as technology becomes more embedded in our environment, patients navigate their doctor’s treatment plan with greater ease and there is broader adoption of digital experiences.