MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT
Boston, MA, June 13-14, 2019
Vikas Chowdhry, MS, MBA, is PCCI’s chief analytics and information officer with 15-plus years of healthcare experience. He works closely with data science and clinical teams at PCCI to develop machine learning driven technologies and products that can empower clinical and social services providers and individuals to create communities that are healthier and more productive. Additionally, Vikas has a keen interest in the area of leveraging incentive programs to influence patient behavior.
Prior to joining PCCI, Vikas served in multiple leadership roles at Epic. During his 15 years at Epic, he lead multiple product teams to develop and enhance enterprise software for radiology information systems, labor & delivery, OB/GYN, population health, and predictive analytics. He also led the organization’s vision and execution for predictive analytics and machine learning domains including pricing, go-to-market and growth strategies.
Artificial intelligence has great potential to impact the healthcare industry, but to fulfill the promise, AI experts must work closely with healthcare stakeholders and patients to create solutions that solve real problems.
In this session, attendees will learn how Parkland Center of Clinical Innovation, a nonprofit healthcare R&D think tank focused on data science and machine learning, uses design thinking to develop an empathetic understanding of problems and to provide AI driven solutions that have consistently delivered measurable value to patients, providers and payers.
In the prior hour, three leading healthcare organizations discussed how they have implemented machine learning and artificial intelligence into practice. In this session, Dr. D’Avolio leads an audience Q&A and explores lessons learned with these real-world doers. Speakers will also discuss their next steps and this is a great chance for attendees to engage with experienced healthcare practitioners and dig deeper into issues important to their organizations.