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cover of episode Advancing Health Care with AI: Humana’s Slawek Kierner Talks Synthetic Data and Real Lives

Advancing Health Care with AI: Humana’s Slawek Kierner Talks Synthetic Data and Real Lives

2020/10/20
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Me, Myself, and AI
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Sam Ransbotham
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Slawek Kierner
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Slawek Kierner: 本人拥有25年数据分析经验，曾在宝洁、诺基亚和微软等公司工作。选择加入Humana是为了将数据分析技术应用于医疗保健领域，帮助人们拥有更健康、更长寿的生活。在Humana，我负责领导数据和分析团队，利用AI技术解决药物依从性和人口健康预测等问题。我们创建了内部机器学习平台，为数据科学家提供现代技术和开源能力，从而开发出更准确的预测模型，例如预测患者保留率和住院情况。为了克服云安全问题和保护患者数据隐私，我们利用生成式AI创建了高保真合成数据，其准确性与真实数据相当。这些合成数据用于训练AI模型，让数据科学家在处理真实患者数据之前进行练习和学习。这种方法也帮助我们与临床医生建立信任，因为他们能够验证合成数据的真实性和可靠性。 我将供应链和化学过程中的经验应用于医疗保健领域，发现过程控制和滞后性在两者中都存在。在医疗保健中，我们经常需要等待很长时间才能看到治疗效果，这与化学过程中的滞后性类似。这种滞后性既源于临床过程本身，也源于数据互操作性差。 我认为来自不同行业的人才对医疗保健行业的数据转型和AI应用至关重要，因为医疗保健行业在这些方面相对落后。我们必须持续学习，并与产品团队和企业合作伙伴紧密合作，才能弥合技术与业务理解之间的差距，并推动AI技术的实际应用。 Sam Ransbotham: Slawek Kierner分享了他如何将过去在不同行业的经验应用于Humana的AI项目，以及他如何识别不同领域中典型问题的相似性，例如化学工程中的系统控制问题和医疗保健中的患者护理问题。他强调了在医疗保健领域建立信任的重要性，并解释了Humana如何使用合成数据来训练AI模型并与临床医生建立信任。 Shervin Khodabandeh: 总结了Slawek Kierner的观点，赞扬了他将不同领域知识整合的能力，以及他强调在医疗保健AI应用中建立信任的重要性。

Deep Dive

Chapters
Slawek Kierner discusses his diverse background and how it influences his role at Humana, emphasizing the importance of continuous learning and bridging the gap between technology and business understanding.

Shownotes Transcript

Slawek Kierner, senior vice president of enterprise data and analytics at Humana, has been immersed in data for as long as he can remember. His fascination with process simulations began on his first PC running MATLAB and Sumulink, and later led him to innovative roles at Procter & Gamble and Nokia. His desire to use data for a noble purpose drove Slawek to Humana, where he leverages AI to solve problems around medication adherence and predict population health outcomes.

Tune in to hear Slawek share stories on recreating synthetic individual profiles indistinguishable from real humans (helping physicians better predict patient admissions and behaviors), and how his team created an internal machine learning platform that gives data scientists access to open source capabilities. All the in pursuit of helping human beings live longer, healthier lives. Read the episode transcript here).

Read more about our show and follow along at sloanreview.mit.edu/aipodcast).

Me, Myself, and AI is Me, Myself, and AI is a collaborative podcast between* MIT Sloan Management Review *and Boston Consulting Group, hosted by Sam Ransbotham and Shervin Khodabandeh. Its engineer is David Lishansky, and coordinating producers are Allison Ryder and Sophie Rüdinger.

Guest bio: Slawek Kierner is Humana’s senior vice president, digital health and analytics. He is responsible for enabling data governance, analytics platforms, data science, and artificial intelligence integration across the enterprise to foster innovative solutions that help Humana’s communities, members, care teams, and employees more easily take actions for better health outcomes.

Slawek has previously served as the chief data and analytics officer for the Microsoft Business Applications Group and has led digital marketing operations and information systems for Procter & Gamble’s European business. He also served as a board member and CIO for P&G’s Central Europe division.

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