[eMarketer] Health systems will turbocharge their AI strategies in 2022

Health systems are prioritizing digital health technologies focused on patient access, AI, and telehealth, per a recent December 2021 KLAS and Center for Connected Medicine survey.

AI’s ability to assist clinical diagnostics and absolve burnt out healthcare workforces of admin tasks has health execs ready to kick their AI investments into high gear.

AI-powered predictive tools can help map out disease progression, diagnoses, and help streamline providers’ clinical decision-making:

40% of healthcare executives are excited about AI’s potential to improve diagnosis and predict outcomes, per Optum’s 2021 healthcare AI survey of 500 senior healthcare execs.

On the other hand, AI can help automate administrative drudgery (like prior authorizations and other insurance paperwork) so clinicians can better focus on providing quality care.

Many health professionals have been wary of the tech’s potential for errors and biases when it comes to diagnostic applications.

There’s uncertainty around the integrity and diversity of data that AI algorithms are modeled on—something that leads to inaccurate outputs and medical errors.

To add, most clinicians are wary about using AI in their healthcare practice: Around 95% of clinicians believe AI for diagnostic imaging is inconsistent or doesn’t work at all, according to a recent FDA study.

eMarketer says that as more health systems secure a stronger footing in healthcare AI, the next step will be to make new AI capabilities mesh with both digital health technologies and existing healthcare processes.

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