Center for Population Health IT
Welcome to the Johns Hopkins Center for Population Health IT (CPHIT), an interdisciplinary center dedicated to improving the health and wellbeing of populations by advancing health information technology and tools.
The Johns Hopkins Bloomberg School of Public Health’s Center for Population Health Information Technology (CPHIT) is a research center dedicated to improving the health and well-being of populations and communities by advancing the state-of-the-art of health information technology (HIT), health informatics, and data sciences within public and private health care organizations and systems. The CPHIT team focuses on leveraging data from electronic health records (EHRs), insurance claims, and public health data systems to inform population health strategies, and health care decision-making and policy.
Established in response to the growing need for innovative approaches to population health management, CPHIT integrates Johns Hopkins' expertise in public health, health care, health informatics, and analytics. CPHIT has built a reputation for developing tools and methodologies to improve healthcare delivery, reduce costs, and promote health equity. The center is based within the Department of Health Policy and Management of the Bloomberg School of Public Health and collaborates with departments and centers across the University and Health System.
The faculty at CPHIT have made significant contributions to the field of population health informatics. The Center’s research focuses on cross-organization data integration, advanced healthcare analytics (including artificial intelligence – AI), e-health and digital health innovations, and HIT policy assessment and implementation. Some of CPHIT’s key accomplishments include the development of very widely used risk stratification tools to identify and manage high-risk patient populations, evaluating the impact of health IT (such as tele-health) on coordination, and methods for the integration of social determinants of health information into medical care and population health. CPHIT faculty are the developers and scientific home of the Johns Hopkins ACG® System (Adjusted Clinical Groups), a globally recognized population health analytics tool used to measure and predict the health needs of populations.
We invite you to explore our population health research. connect with our faculty experts, and collaborate in our mission.
Evidence and Consensus Based Digital Healthcare Equity Framework
Dr. Elham Hatef led a team, funded by AHRQ, to create a Digital Healthcare Equity Framework, an evidence and consensus-based framework that guides users in intentionally considering equity in healthcare solutions that involve digital technologies. The Framework is accompanied by an Implementation Guide and Environmental Scan that contains best practice examples and relevant resources to help users implement the Framework. The intended users of this framework include digital healthcare developers and vendors, health systems, health plans, and clinical providers. The Framework serves as a tool to help users and other stakeholders assess whether their healthcare solutions that involve digital technologies are equitable at every phase of the digital healthcare lifecycle, including planning, development, acquisition, implementation, and monitoring.
Dr. Weiner's Current Thoughts on AI
From CPHIT's October 2024 Seminar, see Dr. Weiner's current thoughts on Artificial Intelligence and it's possible uses and pitfalls in population health research
See Dr. Weiner's thoughts on Artificial Intelligence and it's possible uses and pitfalls in population health research. What is AI, how can it be used in a US healthcare delivery context, and cultivating a realistic view of the role of machine learning.
A Note From Dr. Jonathan Weiner
“This is an exciting time for the health IT and e-health fields. Few areas of technology are evolving as rapidly, and over the coming decade, few domains are expected to have a greater impact on public health and health care practice…” read more.
Hear how CPHIT will impact healthcare and the fields of population health and informatics.
New & Noteworthy
Just Published
Development of an evidence- and consensus-based Digital Healthcare Equity Framework
This study aims to develop an evidence- and consensus-based Digital Healthcare Equity Framework (the Framework) that guides users in intentionally considering equity in healthcare solutions that involve digital technologies.
Post Doc Opportunity
The Johns Hopkins Center for Population Health IT (CPHIT) is seeking a Post-Doctoral Candidate to collaborate with faculty doing research and development work in the field of population health informatics / computer science applied to population health and health care.
Interested candidates should email elasser1@jhu.edu
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CPHIT Printable Brochure
