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John Mattison

John Mattison
Chief Medical Information Officer, Kaiser Permanente, SCAL

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John is the Chief Medical Information Officer and Assistant Medical Director at Kaiser-Permanente, Southern California. He began his medical career at UC San Diego and Scripps Clinic, where he practiced in diverse clinical settings including emergency services, primary care, critical care, preventive medicine, hyperbaric medicine, trauma and helicopter medicine.

He joined the SCAL region of Kaiser Permanente in 1989, and directed the largest deployment of HealthConnect, Kaiser-Permanente’s revolutionary Health IT program that supports over 3 million lives and is used by over 5,000 physicians in 13 hospitals and 140 clinics. His team completed the project a year ahead of schedule and $260 million under budget. Kaiser Permanente has been awarded with the top HIMSS level 7 designations, and received the prestigious Davies Award in 2012. John has consulted internationally on various Health IT issues.

John has been actively involved in international health data standards and founded the XML work that led to the Clinical Document Architecture and the Continuity of Care Document. He is actively involved in state and federal policy and governance of Health Information Exchange, and has testified before various federal agencies on Health IT policy issues related to privacy and security. He is a member of the California State Privacy Steering Committee.

John continues driving towards better health and wellness through his work with Big Data Analytics, natural language processing, mobile consumer applications, and the use of these tools and genomics to drive truly personalized medicine. In January 2011, John was named as one of the first six to receive the Health Data Management recognition as a “Game Changer” in Health IT for his many contributions to this field.

In his spare time, John enjoys scuba diving, underwater photography, surfing, tennis, growing tomatoes, and most of all time with his family and three dogs.

Sessions

John Mattison (Kaiser Permanente, SCAL), Hulya Emir-Farinas (Pivotal)
Average rating: ****.
(4.50, 2 ratings)
Public datasets can be used to enrich proprietary data and obtain more robust predictive models. However, public data, especially user-generated content, is notoriously messy. In this talk, using the FDA’s Adverse Event Reporting System (AERS), we will explain how to cleanse data and mash it up with other data sources for insight. Read more.

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