Intel

The increasing adoption of EHRs has made more data than ever available for research. However, finding a way to access and use that data ethically and securely has been a challenge. Intel® Software Guard Extensions (Intel® SGX) make it possible for healthcare organizations (HCOs) around the world to work together to improve patient outcomes while ensuring that patient data never leaves its secure environment.

The vision of precision medicine is rapidly becoming a reality. Bringing together new data sets is unlocking new insights and enabling more personalized treatment strategies. However, effective analysis of new, large ‘omics data sets like genomics and radiomics challenges the ability of traditional analytics to scale. Artificial Intelligence is emerging as a critical tool in bringing ‘omics data into precision medicine at scale. This presentation will explore the current challenges that precision medicine addresses, and present a series of use cases where AI has been successfully applied today.

Healthcare systems have been adapting to the need to analyze an unprecedented amount of data. The improvements to care delivery and cost have been well-documented, justifying this investment. Now, the arrival of precision medicine applications represents a new challenge. During this period of transition, healthcare IT managers will face the challenge of managing different types of data as they plan and build systems that will deliver better information to clinicians at the point of care. Michael Draugelis, Chief Data Scientist at Penn Medicine, will share insights that were learned from programs that have been developed at Penn. Key highlights of the presentation will include how artificial intelligence (AI) can advance treatment and prevention as well as scientific and technical challenges for AI to be successful. Penn Medicine is one of the world's leading academic medical centers, dedicated to the related missions of medical education, biomedical research, and excellence in patient care. Penn Medicine consists of the Raymond and Ruth Perelman School of Medicine at the University of Pennsylvania (founded in 1765 as the nation's first medical school) and the University of Pennsylvania Health System, which together form a $5.3 billion enterprise.

In this presentation, Marc S. Williams, MD, Director, Genomic Medicine Institute, Geisinger Health System will provide an update on work being done to enable the use of genomic data within the EHR. Dr. Williams leads the EHR integration workgroup of the National Human Genome Research Institute (NHGRI) and he will share work being done by the Electronic Medical Records and Genomics (eMERGE) network, a consortium funded by NHGRI. Established in 2007 to study the feasibility of using EHR data in genomic discovery, eMERGE has studied the implementation of genomic medicine in the clinic. This talk will provide an update on eMERGE activities and summarize the enablers and barriers encountered by the eMERGE network sites that predict the success of implementation.

Population health records carry a wealth of data that can be used to help clinicians understand patterns in patient behavior that suggest an opportunity for an intervention. The U.S Department of Veteran Affairs has developed systems that are determining the best way to alert clinicians of an opportunity for a beneficial intervention. The system looks at clinical data and identifies treatments that provided improved outcomes, measured the results and applied process improvement. The resulting data helps provide insight into care models that support improved outcomes, measure the results, and apply process improvement. In this educational presentation, Nathan Tierney, Director, Value Management at the U.S. Department of Veterans Affairs, will share the strategy and planning process that went into this project.

Providers recognize the importance of population health initiatives, but have concerns about funding and implementing.

Most healthcare providers believe precision medicine is important to the health and well-being of patients, yet many are uncertain about how to integrate precision medicine into their organizations, according to a recent HIMSS Analytics survey.

In this webinar, Ernest Sohn, chief data scientist in Booz Allen’s Data Solutions and Machine Intelligence group, will explain the work that went into developing a machine-learning system. And he will share lessons learned on how to best apply machine learning processes to clinical situations.

Artificial Intelligence (AI) in healthcare went from the sci-fi and research domain to a mainstream health IT buzzword over the last two years. What changed and what does it mean for health providers? Join Ken Kleinberg, VP of Research at Chilmark Research for a compelling presentation on this emerging technology.

In this webinar, Nazneen Aziz will explain the vital role that biobanks are playing to facilitate innovative research through cooperative exchanges of knowledge.