Faculty Spotlight

Dr. Chute is the Bloomberg Distinguished Professor of Health Informatics, Professor of Medicine, Public Health, and Nursing at Johns Hopkins University, and Chief Research Information Officer for Johns Hopkins Medicine. He leads the Biomedical Informatics and Data Science section of the Department of Medicine. He received his undergraduate and medical training at Brown University, internal medicine residency at Dartmouth, and doctoral training in Epidemiology and Biostatistics at Harvard. He is Board Certified in Internal Medicine and Clinical Informatics, and an elected Fellow of the American College of Physicians, the American College of Epidemiology, HL7, the American Medical Informatics Association, and the American College of Medical Informatics (ACMI), as well as a Founding Fellow of the International Academy of Health Sciences Informatics; he was president of ACMI through 2018. His career has focused on how we can represent clinical information to support analyses and inferencing, including comparative effectiveness analyses, decision support, best evidence discovery, and translational research. He has had a deep interest in semantic consistency, harmonized information models, and ontology. His current research focuses on translating basic science information to clinical practice, and how we classify dysfunctional phenotypes (disease). He became founding Chair of Biomedical Informatics at Mayo Clinic in 1988, retiring from Mayo in 2014, where he remains an emeritus Professor of Biomedical Informatics. He is presently PI on a spectrum of high-profile informatics grants from NIH spanning translational science. He has been active on many HIT standards efforts and chaired ISO Technical Committee 215 on Health Informatics and the World Health Organization (WHO) International Classification of Disease Revision (ICD-11).

Paul Nagy, PhD, FSIIM is Associate Professor in the Johns Hopkins University School of Medicine Department of Radiology with a joint appointments in Medicine and the Department of Biomedical Engineering in the School of Engineering.  He received his BS from Carnegie Mellon University and his PhD at the Medical College of Wisconsin.   His research focus is developing biomarkers from medical imaging to enable real world reproducible evidence from observational research.

He is the director of education for the training programs in the Biomedical Informatics and Data Science (BIDS) section of the Department of Medicine. He is also the director of the Master of Science in Applied Health Sciences Informatics program. In addition, Dr. Nagy leads the Observational Health and Data Science Informatics (OHDSI) efforts at Johns Hopkins as part of the Precision Medicine initiative.  

He serves as the deputy director of the Johns Hopkins Medicine Technology Innovation Center (TIC) with the goal of partnering with clinical inventors to create novel patient centric IT solutions.  This team of 50 designers, developers, and data scientists work with inventors to build, deploy, and evaluate digital health solutions within the Johns Hopkins Medical System.  

He is a past chair of the Society of Imaging Informatics in Medicine and the American Board of Imaging Informatics as well as the past president of the College of SIIM Fellows.  Dr. Nagy received his PhD in Medical Physics from the Medical College of Wisconsin and is the author of over 130 papers in the fields of informatics and implementation science. 

Dr. Kharrazi is the co-director of the Johns Hopkins Center for Population Health IT (CPHIT). He is also a Professor of health policy and management at the Johns Hopkins School of Public Health, with a joint appointment at the Johns Hopkins School of Medicine. His research focuses on population health IT solutions that provide direct population‐based decision support to providers, payers, and patients. His expertise includes assessing the needs and impact of health IT on care delivery, designing interoperable platforms for population health, and developing and evaluating advanced predictive models for risk stratification
 
Dr. Kharrazi has served as the PI of several federal grants and contracts (e.g., ONC, AHRQ, CMS, VHA) with a special focus on population health informatics. Within the context of population health IT, his research focuses on the application of informatics solutions to advance the science of population health analytics such as: evaluating the added-value of new sources of data (e.g., EHRs, social determinants of health) in population health analytics; assessing challenges of data quality on population health studies; and, utilizing health information exchange infrastructure to develop population health analytic platforms. He also serves on the editorial boards of JAMIA Open and Population Health Management journals.

Dr. Kharrazi has an extensive record on education. He has been the Co-PI of a DHHS-ONC award to develop a national curriculum for population health informatics, and train more than 9000 healthcare professionals nationally. He is also the director of the DrPH Informatics track at the School of Public Health, and the director of Health Sciences Informatics PhD and MSc Research programs at the School of Medicine.

Dr. Khyzer Aziz’s research interests are utilizing complex information found in the electronic medical record and national registries/databases to provide clear, cohesive, and concise information for patients, families, and clinicians that can be used for clinical decision-making and neonatal precision medicine. With his mentorship team, he is pioneering processes for nuanced automated neonatal data collection locally and globally utilizing the OHDSI/OMOP common data model. He is also developing and validating neonatal specific severity of illness metrics for the neonatal population – the neonatal sequential organ failure assessment (nSOFA) score and the vasoactive-inotropic score (VIS) – over the last year, he has published this work in high impact, peer reviewed journals.

Dr. Aziz is the Associate Director of the Master of Science in Applied Health Sciences Informatics programs in Biomedical Informatics and Data Science. In addition, Dr. Aziz is the Director and Faculty/Scientific lead of the NICU Precision Medicine Center of Excellence (PMCOE) initiative at Johns Hopkins along with Dr. Frances Northington. His short-term goal is to develop and publish unbiased studies concerning major health outcomes for NICU patients using internal institutional databases and national data registries utilizing longitudinal neonatal severity of illness metrics. His hope is that these studies will provide the framework towards more effective pre- and postnatal counseling, quality improvement initiatives, and help build predictive models for individual disease processes. In doing this work, his ultimate goal is to build predictive models that can aid in producing the best outcomes for patients in the most cost-effective manner and build a path towards neonatal precision medicine.

Dr. Nic Dobbins’ research interests focus on developing intuitive and useful user-centered tools for scientific discovery and data extraction from electronic health record data. His doctoral dissertation centered on pioneering natural language processing methods and large language model fine-tuning for generating database queries to find patients eligible for clinical trials, and his work was the first to empirically demonstrate that machine learning methods can surpass human programmers in identifying eligible patients using actual clinical trials and structured database queries on real-world data. Dr. Dobbins is also the creator and developer of Leaf, one of the most widely used cohort discovery tools in the world. Additionally, he has extensive experience in full-stack software engineering, user interface design, database schema design and management, and has published high-impact peer-reviewed manuscripts involving information extraction from clinical notes, large language models, automated biomedical reasoning, knowledge representation, social determinants of health, and de-identification. He is also fluent in written and spoken Japanese language. 

He is an Assistant Director for education in the Biomedical Informatics and Data Science section of the Department of Medicine. Within Johns Hopkins Medicine, Dr. Dobbins leads efforts in large-scale de-identification of clinical notes, large language model usage and evaluation and cohort discovery tool development. Dr. Dobbins believes strongly in international scientific collaboration and also holds an Adjunct Assistant Professorship in the Gilbert and Rose-Marie Chagoury School of Medicine in Lebanese American University in Beirut, Lebanon. He received his PhD in biomedical informatics from the University of Washington, MLIS in library and information science from the UW iSchool, and BA in History and Asian Languages and Literatures from the University of Minnesota.

Jasmine McNeil, MBA, MA, is the Design IT Manager for the Johns Hopkins Medicine Technology Innovation Center. She champions human-centered and user experience design, leading design strategy to build and implement medical applications and the services they support since 2015. Jasmine also serves as program manager for Hexcite, the early-stage entrepreneurial program for medical apps centering around a Johns Hopkins-based medical app idea. She organizes a community of digital health entrepreneurs to support the program and brings projects from customer discovery and business model creation through technology prototyping and pilot planning. She has overseen design and user experience projects for the Chesapeake Regional Information System for our Patients (CRISP, the state’s health information exchange), the Johns Hopkins Precision Medicine initiative, Prodensity (the institution’s pandemic-era management app), the Vaccine Management System, MyChart, and more.

Dr. Peter Greene is a leader in the field of informatics in cardiothoracic surgery. He has served as the Chair of the Society of Thoracic Surgeons Information Technology Committee. He is the founder, executive editor and key architect of Cardiothoracic Surgery Network (CTSNet), the online community of 40 professional cardiothoracic surgery societies. He has more than 15 years of experience in information technology using a variety of medical applications in parallel to a clinical career. He had an important role in co-founding the MedBiquitous Consortium and serves as the consortium’s executive director. Founded by Johns Hopkins Medicine and leading professional medical societies, MedBiquitous is a non-profit, international group of professional medical and healthcare associations, universities, commercial, and governmental organizations dedicated to advancing healthcare education through technology standards that promote professional competence, collaboration, and better patient care.

Dr. Casey Overby Taylor is Associate Professor of Medicine-General Internal Medicine and Biomedical Engineering in the Johns Hopkins School of Medicine and is core faculty in the Institute for Computational Medicine. She has an affiliation with the GIM Biomedical Informatics Data Science (BIDS) Section, and joint appointments in the Department of Health Policy and Management in the Johns Hopkins Bloomberg School of Public Health, and the Computer Science Department in the Johns Hopkins Whiting School of Engineering. Her research draws from biomedical informatics and the related field of biomedical data science, to address the challenge of how to incorporate digital health technologies into clinical research and clinical practices, particularly for genomics. She also draws from comparative effectiveness research approaches, including experience with conceptualizing and measuring implementation outcomes, to study the use of clinical decision support as a strategy to improve the adoption of clinically actionable guidance. Taylor was honored as a previous recipient of a Johns Hopkins Malone Center for Engineering in Healthcare Fellowship (2017-2020), and current recipient of a Microsoft Digital Investigator Fellowship (2020-2022) and NHGRI Genomic Innovator Award (2020-2025).

Dr. Lehmann is a board-certified general pediatrician with doctoral informatics training from Stanford. His research concerns evidence-based medicine (EBM) broadly conceived. His current work focuses on the informatics infrastructure of research and the secondary use of EHR data for research. He is informatics lead for the Johns Hopkins PCORnet/PaTH site and works with Dr Chute in the National COVID Cohort Collaborative. He collaborates with others in informatics and decision-analytic research. He has served as an Associate Editor for the Journal of the American Medical Informatics Association since 2011.

The attached files represent the article and appendix of Lehmann, H. The Informatics Stack: A Heuristic Tool for Informatics Teaching. Methods of Information in Medicine. 2018;56:e129-e133.

Lehmann.2017.The Stack.pdf
The Informatics Stack. For Sharing. Appendix.pdf

Dr. Knight is an Associate Professor in the Johns Hopkins University School of Medicine. She earned her MD from the University of Virginia, and joined the Division of Hospital Medicine at Johns Hopkins Bayview Medical Center (JHBMC) in 2000. She serves as Chief Medical Information Officer for JHBMC, and is co-chair of Johns Hopkins Medicine’s Order Set Review, Clinical Decision Support, and Epic Inpatient Design committees. Dr. Knight is also chair of JHBMC’s Pharmacy & Therapeutics Committee. She is a member of the Society of Hospital Medicine and the American Medical Informatics Association and board-certified in Clinical Informatics.

Dr. Hasselfeld is the current Medical Director, Digital Health and Telemedicine at Johns Hopkins Medicine, focusing on digital health, virtual care, and clinical innovation. He also serves as a primary care physician in Internal Medicine and Pediatrics for Johns Hopkins Community Physicians. In addition, he serves on the Board of Directors for a regional Medicare Advantage insurance plan. In addition to his medical training in internal medicine and pediatrics completed at Harvard’s Brigham and Women’s Hospital and Boston Children’s Hospital, he has experience in investment banking, entrepreneurship, and technology innovation.

Carrie Stein, RN-BC, MSN, MBA, currently is Director of Clinical Informatics at Johns Hopkins Bayview Medical Center. Carrie earned her graduate nursing degree at University of Pennsylvania (Pediatric Primary Care) and her master’s degree in business administration at Johns Hopkins Carey Business School. Carrie leads the Clinical Informatics team at Hopkins Bayview to safely implement and support clinical information systems. Focusing improving usability for staff, providers, patients and families and increasing access to reliable health information, Carrie co-chairs the Enterprise Patient and Family-centered Design group. Carrie is active on the JHM Health IT Safety Action Team coordinated by the Armstrong Institute and co-founded the JHBMC MERIT Medication Safety Event and Error Reduction Committee. Carrie has been mentoring graduate school informatics students since she arrived at Hopkins Bayview in 2010, and is currently co-director of the Applied Clinical Informatics Course in the School of Medicine. She also holds an associate faculty appointment at University of Maryland’s School of Nursing and presents regularly at the annual Summer Institute for Nursing Informatics international conference. Carrie is a Pediatric Nurse Practitioner, having practiced at pediatric centers of excellence in Boston, Philadelphia and Washington, D.C.