Leadership

Member Spotlight: Dr. Anwar A. Jebran, MD Primary Care Physician Informaticist at Oak Street Health and Clinical Assistant Professor at the University of Illinois at Chicago

Dr. Anwar A. Jebran, MD Primary Care Physician Informaticist at Oak Street Health and Clinical Assistant Professor at the University of Illinois at Chicago

Dr. Jebran is in his second year on the HIMSS Physician Committee, and in those two years he has contributed to care at home and care transformation discussions along with the future of AI and contributing to the HIMSS Large Language Model series published in 2023. Dr. Jebran is always thinking a step ahead to help ensure the industry is benefiting from the content produced by the HIMSS Physician Committee's content.

We would like to thank Dr. Jebran for all that he has contributed to in the industry. Below are some of his thoughts on careers in HIT and what he sees as the future of HIT.

How have industry connections and relationships helped you achieve your biggest professional milestones?

Dr Jebran: Being an active member of the HIMSS Physicians Committee and a LinkedIn Top Voice has been instrumental in achieving professional milestones by fostering collaborative opportunities, knowledge sharing, leadership networking, and providing platforms for career growth.

What are the benefits of a health information and technology career? Why should someone consider it? 

Dr. Jebran: As healthcare increasingly adopts advanced technologies, a career in Health IT and informatics will position physicians at the forefront of these transformative changes. Physicians can positively impact a wider circle of patients' lives, enhance patient care delivery through data-driven decisions, streamline healthcare processes and workflows, and improve overall system efficiency. 

What do you see as the future of health information and technology? Where do you think the industry can/will go?

Dr. Jebran: Healthcare will continue transforming from volume to value-based care delivery, where AI and ML are leveraged to predict outcomes, admissions, and costs and approach care delivery proactively rather than reactively. Healthcare delivery will emphasize the role of remote patient monitoring, and there will be a seismic shift of care to patients' homes rather than mainly hospital-based care. 

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