Keeping Honest in Healthcare: Engineering Accountability into AI
When AI is honest and acts as a connector in healthcare workflows, clinician time is freed up, accuracy is ensured, and revenue is protected.
Ajai Sehgal</a> serves as Chief AI Officer at <a href=https://medcitynews.com/author/asehgal/"http://www.ikshealth.com">IKS Health</a>, leading the organization’s enterprise-wide AI vision and strategy to harness data, analytics, and advanced technologies for accelerating innovation, improving outcomes, and amplifying impact across the healthcare ecosystem. A seasoned leader with experience spanning startups to Fortune 100 companies, Ajai was most recently the inaugural Chief Data & Analytics Officer at Mayo Clinic, where he drove the use of over a century of clinical data to power breakthrough medical innovations and elevate patient care. He also served as Chair of Digital Technology at the Mayo Clinic’s Center for Digital Health.<br /> <br /> Ajai’s global leadership experience includes senior technology roles at EagleView, Hootsuite, and The Chemistry Group, overseeing Data & Analytics, Software Engineering, IT, Security, and Operations. Earlier in his career, he served 16 years in the Royal Canadian Air Force before joining Microsoft, where he played a key role in founding and scaling Expedia into the world’s largest travel agency. A strong advocate for responsible AI innovation, Ajai continues to mentor and advise within the broader technology community." />
When AI is honest and acts as a connector in healthcare workflows, clinician time is freed up, accuracy is ensured, and revenue is protected.