Healthcare providers are under enormous pressure to improve quality, caregiver turnover, and safety. Social media and public health data provide the greatest and most true voice of the patients and employees. Yet, it is extremely difficult to access and utilize this data in a meaningful way. Mining this data using an actual Chicago hospital as a case study, we will show how to gain deep, specific, and evidence-based insights directly from patients, families, and caregiver staff. Using this hospital’s big data, we show how this data will result in a detailed and actionable roadmap to help this hospital improve their quality, increase safety, and reduce staff turnover. Join healthcare data experts Jim Anfield and Jeff Chien as they present this fascinating case study of this Chicago hospital and how big data can drive meaningful healthcare change.
Jim Anfield, Principal and Healthcare Practice Leader
Jim is a principal and healthcare practice leader at Aptitive, a Chicago-based technology consulting company, focusing on helping his clients grow revenue, reduce cost, and deliver superior customer experience by leveraging enterprise data and analytics. Previously, he worked at several healthcare startups located out of MATTER Chicago in senior business and technology roles (CTO/CFO) with both payer and provider end customers. Before, Jim was part of KPMG’s CIO Advisory practice consulting to large health insurance companies. Prior, Jim was Senior Director, Health Information Technology at Health Care Service Corporation (HCSC) which is the parent company of Blue Cross Blue Shield of Illinois, Montana, New Mexico, Oklahoma, and Texas. Previous experience includes leadership roles in finance, strategy, and M&A for several F500 companies including United Airlines, International Mineral and Chemical Corporation, Westinghouse, ITW, and Dun & Bradstreet.
Jeff Chien, Founder and Vice President of Analytic Optimization
Role at peekIQ
As the VP of Analytic Optimization, Jeff Chien is responsible for development of the Insight Acceleration and Artificial Intelligence (AI) optimization technical strategy and ecosystem. He is the inventor of the Insight Acceleration method and AI optimization patents. Jeff forged these proven methods solving national security challenges a decade ahead of innovations in private sector.
Prior to building peekIQ, Jeff consistently identified emerging innovations and the leaders before their respective surges. At Netapp, managed the analytics for Big Data, he was part of the Healthcare and Federal teams. Jeff uniquely was given the opportunity to evaluate a comprehensive suite of Big Data Analytic tools, technologies, services and methodologies leading to the development of the industry leading portfolio of capabilities and offerings. Earlier in his career, Jeff held technical consulting and data engineering positions at Dell, Intel and 3COM. At Dell, Jeff developed industry specific analytics and AI solutions for many verticals including Retail, Manufacturing, Healthcare, Financial, insurance and Communications. Jeff’s passion for data and analytics started at an early age. His mother was a computer programmer for Bell and Howell. Jeff’s father was a Peabody Award winning investigative journalist and inducted into the
Journalism Hall of Fame. He fostered the passion for actionable insight at an early age.
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