Dear Colleagues,
CHITA 2023 is now accepting submissions for presentation. Please submit at https://easychair.org/my/conference?conf=chita2023
Also attached is the Doctoral Consortium Call for Participants.
Conference website: https://carey.jhu.edu/chita2023
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The Center for Digital Health and Artificial Intelligence (CDHAI) at the Johns Hopkins Carey Business School is delighted to share the Call for Papers for CHITA 2023.
Program Chair: Ritu Agarwal
Program Co-Chairs: Gabriel Brat, Guodong (Gordon) Gao, and Jeffrey S. McCullough
Important dates:
Submission deadline: March 1, 2023
Notification to authors: March 15, 2023
Conference dates: May 5-6, 2023
Doctoral consortium: May 4, 2023
CFP and other logistics can be viewed here: https://carey.jhu.edu/chita2023
About CHITA
CHITA is an annual research summit and doctoral consortium that gathers prominent scholars in a multidisciplinary setting. CHITA focuses on the increasing role, importance, and impact of analytics and health information technology in improving individual and population health, and health system quality and performance. Each year, the conference attracts over 100 scholars and thought leaders from more than 40 institutions. CHITA provides a forum for researchers to disseminate their work and network within a growing and vibrant community. This conference fosters collaboration between academia, government, and industry to bridge research, policy, and practice.
Papers are solicited on a wide range of topics including, but not limited to: Health IT's adoption and impact; Artificial Intelligence (AI) for healthcare, Healthcare analytics, and big data; Health information exchange and interoperability; New IT-enabled organizational forms and delivery models; mHealth and patient empowerment; and Quality transparency and public reporting.
There is special interest this year in the following topics: AI applications for healthcare; Adoption and integration of analytics; Priority populations; Population health management; Cybersecurity; Behavior (both of providers and patients). Papers that include a focus on themes of fairness in AI for AHRQ priority populations (e.g., those with multiple chronic conditions, and racial/ethnic minorities) will receive special consideration. A particular emphasis for this year's conference is on advancing knowledge about fair and responsible artificial intelligence for health.
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Guodong (Gordon) Gao
Professor
Co-Director, Center for Digital Health and Artificial Intelligence (CDHAI)
Johns Hopkins Carey Business School
100 International Drive / Baltimore, MD 21202
gordon.gao@jhu.edu
https://carey.jhu.edu/faculty/gordon-gao
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Gordon Gao
Professor
Johns Hopkins University
Baltimore MDUnited States
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