Despite the excitement surrounding artificial intelligence (AI) in healthcare, many health systems are yet to see substantial returns on their AI investments. For significant returns to occur, Michael Kalishman, chief venture officer at Virginia-based Sentara Health, suggests three necessary changes during an interview at the ViVE conference in Los Angeles.
First, Kalishman contends that AI vendors need to assure that their tools efficiently address the primary challenges of healthcare systems instead of merely promoting excellent features of their products. Citing the need for products with real business value, Kalishman argues that AI vendors should put more effort into demonstrating the clinical and business value of their products and how they fit into the electronic medical records (EMR) system.
Second, AI companies need to devise a better approach to IT integration. The process of data integration within a health system when introducing new AI products can be complex – a complexities that AI vendors often fail to grasp. A lack of IT expertise on the AI developers’ side leaves many unanswered questions and causes frustration for health systems looking to integrate new AI products. For effective implementation, Kalishman argues that there must be a solid technology infrastructure in place.
Last, Kalishman advises that AI vendors focus on a discrete use case rather than offering a broad platform. He criticizes AI vendors that push extensive products, suggesting that startups would be more likely to succeed by initially selling more specific solutions. As an example, he cited Regard, an AI company backed by Sentara, which provides clinicians with AI co-pilot built to improve medical diagnoses.
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