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如果/当 2022年1月10日

Healthcare Data Management: The Patient is In

展览贡献者:博士. 詹妮弗·布卢姆, 大卫Morgareidge, Paul Thies

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With the intersection of advanced data technologies 和 the evolution of healthcare, both providers 和 patients look to benefit, 但安全, privacy 和 data hygiene still loom as potential areas of concern. In this episode of 如果/当, we discuss data science advances in the context of healthcare with two data science experts from 亚洲体育博彩平台 - Dr. 詹妮弗·布卢姆 和 大卫Morgareidge.

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Dr. 詹妮弗·布卢姆

Dr. 詹妮弗·布卢姆, an astrophysicist, is Senior Director Data Scientist for 亚洲体育博彩平台 CMS Cyber & Intelligence Business Unit. She is the second African American woman to ever graduate with a Ph.D. in Astrophysics from the University of Michigan. Her doctorate focused on using X-ray satellites to determine how fast black holes 和 neutron stars spin. Her current expertise is in cyber security algorithm development 和 advanced statistical data science methodologies.

Dr. Blum’s work supports multiple government 和 commercial efforts. She designed 和 developed application programming interfaces (APIs) for LMI clients 和 the 国防 Intelligence Agency (CIO) mission. Additionally, she was a senior IT strategist 和 helped DIA develop critical cyber infrastructure. Prior to that assignment, Dr. Blum worked at a federal agency as a data scientist where she created machine learning algorithms for cyber security missions 和 wrote reports for senior leadership. Currently, she is involved in advanced cyber security technologies 和 business solutions for 亚洲体育博彩平台. 在她的业余时间，博士. Blum enjoys voice acting 和 has performed in radio commercials.

大卫Morgareidge

大卫Morgareidge has over 40 years’ experience in analyzing 和 optimizing the operational 和 financial performance of the built environment through the use of virtual integrated digital design tools, 包括Digital Twins. His project approach first defines the boundaries of the solution space, 然后耗尽空间, using discrete event or agent based simulation tools linked to optimization engines, 和 finally rank orders hundreds of solutions based on the client’s Key Performance Indicators that define success for each unique project. David has led the 技术 groups that use these tools 和 has helped shape the complete digital strategy of an A/E firm as its Chief Information Officer. The ROIs on his process modeling 和 simulation projects have ranged from 10:1 to 20:1, with first cost reductions of up to $8M 和 annual staff cost reductions of $763K.

在雅各布, David is the Director of Predictive Analytics, overseeing 和 directing the application of advanced operational modeling 和 simulation tools 和 advanced data analytics to provide highly optimized, 客观的, fact-based design solutions across multiple sectors 和 services.