Kumar Srinivas | Source | CTO for the Health Insurance / Health Plan Business at NTT DATA
Kumar Srinivas
Kumar is the technology evangelist and intrapreneur for the health plan group at NTT DATA leading the development of new global offerings, ideas and products leveraging different global NTT Op Cos (US, Australia, Japan, LatAM, Spain and others), generate, obtain and manage funding from multiple sources/streams, integrate risk-taking with innovative approaches within a complex and large organizational environment.
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NTT DATA (https://us.nttdata.com/en/)
CTO for the Health Insurance / Health Plan Business
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Council Post: Health Plans Have A Unique Role To Play Making AI Work In Healthcare
Sharing data across organizations also minimizes the potential for AI bias.
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Interview on NTD business news show to talk about the Google plans to use A.I. for creating new drugs.
See my linkedin post at https://www.linkedin.com/posts/kumarsri_alphabet-to-use-ai-to-discover-new-drugs-activity-6862841417895673856-bB_C
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Council Post: Large Employers Want More From Self-Funded Health Plans – AI Can Help
Health plans can combine that expertise with explainable AI to provide highly valuable services to the self-funded employer group, specifically by offering AI-based risk modeling and forecasting the employer groups want to proactively manage their costs.
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These costs have increased every year, except for 2020, and have generally outpaced both inflation and GDP. There are a lot of other costs outside of the premiums, including the deductibles, co-pays, and the different social determinants (transportation insecurity, housing instability, food, homelessness, employment status, material hardship, etc.) that are not usually factored into such numbers.
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Today’s AI systems are great in beating you at chess or Jeopardy. But there are major challenges when addressing practical clinical issues that need a bit of explanation as to ‘why.’ Doctors aren't going to defer to AI-decisions or respond clinically to a list of potential cancer cases if it’s generated from a black box.
