![\"pth-use-this-one\"](\"https:\/\/depts.washington.edu\/bime\/wordpress\/wp-content\/uploads\/2026\/03\/PTH-headshot-web-288x300.jpg\")
We are moving toward our vision with a number of activities across our various programs. We have updated our strategic plan in response to the 10-year academic program review that we recently completed. For our research-oriented MS and PhD programs<\/a>, we added a specialization in Data Science<\/a>. We are\u00a0completing a\u00a0curriculum revision for our\u00a0on line applied clinical informatics MS<\/a>. The work of our fellows in the clinical informatics fellowship program has received plaudits from clinical administrators and faculty. We are at the beginning of a new cycle of admissions to our graduate programs, and we look forward to another productive year and new growth in our department.<\/p>\nCordially,<\/p>\n
Peter Tarczy-Hornoch, MD<\/strong> <\/p>\n In the summer of 2026, the University of Washington was recognized by U.S. News & World Report as one of the best universities in the world<\/a>.<\/p>\n <\/p>\n UPCOMING LECTURES AND SEMINARS <\/p>\n Title: Abstract: Presenter Bio: \u00a0<\/strong><\/p>\n _________________________________________<\/u><\/strong><\/p>\n October 2026 UW Medical AI & Data Science Journal Club<\/strong><\/p>\n Monday, October 12,\u00a02026: 1:00pm\u00a0Pacific Time<\/strong><\/p>\n Presenter\u00a0Asa Gilmore <\/strong>will discuss the paper: Position: Epistemic uncertainty estimation methods are fundamentally incomplete<\/strong><\/a><\/p>\n Join us in person:\u00a0F107, <\/strong>750 Republican St, Seattle 98109 The\u00a0UW Medical AI & Data Science Journal Club is led by Acting Assistant Professor, Yue Wu, PhD<\/strong>, UW Medicine Computational Ophthalmology Lab<\/strong><\/a>. Our journal club is open to all who are interested, providing an opportunity to exchange ideas, ask questions, and critique scientific methods related to artificial intelligence and big data that support our collective goal of creating better health.<\/p>\n We meet 2nd Mondays, 1-2pm Pacific Time <\/strong>in person and via zoom. At each meeting, the presenter provides an overview of a paper they selected, providing their thoughts and interpretation, and then the presentation is followed by questions and discussion among participants.<\/p>\n We are seeking additional presenters for 2026-2027<\/strong>. If you are interested in presenting or would like to be added to our mailing list, please contact\u00a0<\/u><\/em>Yue Wu, PhD<\/em><\/a> <\/p>\n UPCOMING EXAMS<\/u><\/strong><\/p>\n Final Exam \u00a0<\/strong><\/p>\n Abstract: <\/strong>Mobile health (mHealth) applications may strengthen primary care by supporting community-based documentation, patient follow up, clinical decision-making, and care coordination. Their value, however, depends on whether they fit frontline workers and connect with existing health information systems. When applications operate separately from local databases, hospital systems, and paper records, they can create additional technical, workflow, and administrative burdens for frontline workers.<\/p>\n This dissertation examines mHealth adoption and system integration in Thailand’s public primary care system through a three-stage mixed-methods study of the Ministry of Public Health-supported Sor Or Nor Buddy mHealth application.<\/p>\n First, a scoping review of 30 peer-reviewed studies of mHealth applications used by community health workers in low- and middle-income countries found that 29 studies lacked evidence of full interoperability within national health information systems<\/p>\n Second, a mixed-methods survey of 128 Thai primary care workers found that perceived usefulness, ease of use, social influence, and facilitating conditions were associated with intention to use Sor Or Nor Buddy, while participants also reported duplicate documentation, incomplete system integration, and administrative burden.<\/p>\n Third, qualitative in-depth interviews with 14 workers showed unreliable connectivity, repetitive data entry, reporting requirements, privacy concerns, and limited access to clinical information shaped their daily use.<\/p>\n Overall, findings show that app-level usability alone is insufficient for sustainable mHealth implementation. Effective digital transformation in primary care requires interoperable systems, reliable infrastructure, reduced documentation burden, appropriate data governance safeguards, and end-user participation in design and implementation. The dissertation proposes a human-centered design roadmap to strengthen mHealth development and implementation in Thailand and similar primary care settings.<\/p>\n \u00a0<\/strong><\/p>\n COMMUNITY BUILDING <\/u><\/strong><\/p>\n BIME Welcome Reception<\/strong><\/p>\n We hope you can make it to this year\u2019s annual BIME reception to welcome everyone back and welcome our incoming students, postdocs, and fellows! Refreshments will be served.<\/p>\n When:<\/strong> Tuesday, September 29th<\/sup>\u00a0from 4:30-6:00 PM<\/p>\n Where:<\/strong> SLU Building C, 1st floor Key Bank Lounge (behind parking ticket kiosk and parking lot elevators)<\/p>\n _________________________________________<\/u><\/strong><\/p>\n Fall 2026 International Graduate Student Welcome Mixer<\/u><\/strong> During this two-hour mixer, you\u2019ll have the chance to:<\/p>\n RSVP is required: https:\/\/forms.cloud.microsoft\/r\/Xn3xAEV8bV<\/a>. <\/strong><\/p>\n <\/p>\n UPCOMING LECTURES AND SEMINARS _________________________________________<\/u><\/strong><\/p>\n September 2026 UW Medical AI & Data Science Journal Club<\/strong><\/p>\n Monday, September 21,\u00a02026: 1:00pm\u00a0Pacific Time<\/strong><\/p>\n Presenter\u00a0Faiz Moazzam <\/strong>will discuss the paper: Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, nationwide, multicentre study<\/strong><\/a><\/p>\n Join us in person:\u00a0F107, <\/strong>750 Republican St, Seattle 98109 \u00a0<\/strong><\/p>\n ANNOUNCEMENTS<\/u><\/strong> We hope you can make it to this year\u2019s annual BIME reception to welcome everyone back and welcome our incoming students, postdocs, and fellows! Refreshments will be served.<\/p>\n When:<\/strong> Tuesday, September 29th<\/sup>\u00a0from 4:30-6:00 PM<\/p>\n Where:<\/strong> SLU Building C, 1st floor Key Bank Lounge (behind parking ticket kiosk and parking lot elevators)<\/p>\n <\/p>\n UPCOMING EXAMS<\/u><\/strong><\/p>\n Final Exam \u00a0<\/strong><\/p>\n Abstract: <\/strong>Mobile health (mHealth) applications may strengthen primary care by supporting community-based documentation, patient follow up, clinical decision-making, and care coordination. Their value, however, depends on whether they fit frontline workers and connect with existing health information systems. When applications operate separately from local databases, hospital systems, and paper records, they can create additional technical, workflow, and administrative burdens for frontline workers.<\/p>\n This dissertation examines mHealth adoption and system integration in Thailand’s public primary care system through a three-stage mixed-methods study of the Ministry of Public Health-supported Sor Or Nor Buddy mHealth application.<\/p>\n First, a scoping review of 30 peer-reviewed studies of mHealth applications used by community health workers in low- and middle-income countries found that 29 studies lacked evidence of full interoperability within national health information systems<\/p>\n Second, a mixed-methods survey of 128 Thai primary care workers found that perceived usefulness, ease of use, social influence, and facilitating conditions were associated with intention to use Sor Or Nor Buddy, while participants also reported duplicate documentation, incomplete system integration, and administrative burden.<\/p>\n Third, qualitative in-depth interviews with 14 workers showed unreliable connectivity, repetitive data entry, reporting requirements, privacy concerns, and limited access to clinical information shaped their daily use.<\/p>\n Overall, findings show that app-level usability alone is insufficient for sustainable mHealth implementation. Effective digital transformation in primary care requires interoperable systems, reliable infrastructure, reduced documentation burden, appropriate data governance safeguards, and end-user participation in design and implementation. The dissertation proposes a human-centered design roadmap to strengthen mHealth development and implementation in Thailand and similar primary care settings.<\/p>\n \u00a0<\/strong><\/p>\n PAPERS, PUBLICATIONS & PRESENTATIONS<\/u><\/strong><\/p>\n <\/p>\n <\/p>\n <\/p>\n UPCOMING LECTURES AND SEMINARS<\/u><\/strong><\/p>\n BIME 590 \u2013 See you in fall quarter \u2013 10\/1\/2026!<\/strong><\/p>\n _________________________________________<\/u><\/strong><\/p>\n September 2026 UW Medical AI & Data Science Journal Club<\/strong><\/p>\n Monday, September 21,\u00a02026: 1:00pm\u00a0Pacific Time<\/strong><\/p>\n Presenter\u00a0Faiz Moazzam <\/strong>will discuss the paper: Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, nationwide, multicentre study<\/strong><\/a><\/p>\n \u00a0<\/strong><\/p>\n Join us in person:\u00a0F107, <\/strong>750 Republican St, Seattle 98109 _________________________________________<\/u><\/strong><\/p>\n The\u00a0UW Medical AI & Data Science Journal Club is led by Acting Assistant Professor, Yue Wu, PhD<\/strong>, , UW Medicine Computational Ophthalmology Lab<\/strong><\/a>. Our journal club is open to all who are interested, providing an opportunity to exchange ideas, ask questions, and critique scientific methods related to artificial intelligence and big data that support our collective goal of creating better health.<\/p>\n We generally meet on 2nd Mondays, 1-2pm Pacific Time<\/strong> in person and via zoom (exception<\/em>: 3rd<\/sup>\u00a0Monday in September 2026). At each meeting, the presenter provides an overview of a paper they selected, providing their thoughts and interpretation, and then the presentation is followed by questions and discussion among participants.<\/p>\n We are seeking additional presenters for 2026-2027<\/strong>. If you are interested in presenting or would like to be added to our mailing list, please contact\u00a0<\/u>Yue Wu, PhD<\/a><\/em><\/p>\n <\/p>\n ANNOUNCEMENTS<\/u><\/strong> The winners of the 2026-2027 IMDS Pilot Awards are:<\/p>\n Hesamoddin Jahanian, with Ali Shojaie and Thomas Grubowski Nicholas Johnson, with Chen Liang and Daniel To Kelly Michaelsen, with Stanley Tan and Anthony Lee You can read more about their projects and IMDS Pilot Awards in general at the below link: _________________________________________<\/u><\/strong><\/p>\n Natera<\/strong> is seeking an innovative and driven bioinformatics scientist to lead and conduct cutting-edge real-world evidence (RWE) analyses and predictive analytics across oncology, organ health, and women\u2019s health datasets. This unique role blends expertise in bioinformatics, artificial intelligence (AI), machine learning (ML), and the manipulation of complex real-world data (RWD). Candidate will leverage advanced AI methodologies to extract actionable clinical insights from vast multimodal datasets (genomics, clinical, demographic), driving impactful data visualization and advancing our application of genomics in a real-world clinical setting. The ideal candidate should have strong project management skills, and a keen eye for visualizing complex data in an impactful way to advance our understanding and application of genomics in a real-world setting.<\/p>\n For Full Details and to apply: https:\/\/job-boards.greenhouse.io\/natera\/jobs\/6128396004<\/a><\/p>\n _________________________________________<\/u><\/strong><\/p>\n JP Giliberto (Assistant CCIO for Surgery) was senior author and Teresa Kim<\/strong> (former CI fellow and otolaryngologist\/informatician at Seattle Childrens) was first author on an important multi center study of EHR documentation burden by gender and academic rank (46 academic departments of otolaryngology). They found that female junior faculty spent almost twice as much time in documentation tasks associated with ambulatory visits than their male senior faculty colleagues. Male senior faculty received more assistance with notes and orders than their junior female colleagues.<\/p>\n Kim T<\/strong>, Abdel-Aty Y, Akkina SR, et al. Gender and academic rank disparities in electronic health record burden among otolaryngologists. The Laryngoscope 2026. 136(suppl): S7-S20.<\/p>\n This study builds on previous single institution studies that suggested similar gender gaps.<\/p>\n <\/p>\n PAPERS, PUBLICATIONS & PRESENTATIONS<\/u><\/strong><\/p>\n <\/p>\n COMMUNITY BUILDING <\/u><\/strong><\/p>\n Research After Dark: Happy Hour<\/strong><\/p>\n Research after Dark (RAD) Networking is holding a community building and networking no-hosted\u00a0happy\u00a0hour\u00a0on Thursday, August 27 at 5 pm<\/strong>, at Flatstick Pub located at 609 Westlake Ave N, Seattle, WA 98109. This is a\u00a0 great opportunity to network with Seattle area professionals and trainees!<\/p>\n
\nChair and Professor, Department of Biomedical Informatics and Medical Education<\/p>\nNew Global Rankings for UW<\/strong><\/h2>\n
<\/h2>\n
Biomedical Informatics and Medical Education Newsletter<\/strong><\/h2>\n
September 21, 2026 – September 25, 2026<\/strong><\/h2>\n
\n<\/u><\/strong>BIME 590
\n<\/strong>Presenter:\u00a0 Peter Tarczy-Hornoch, MD, FACMI
\nThursday, October 1st<\/sup> \u2013 11-11:50 am
\n<\/strong>850 Republican Street, Building C, Room 123 A\/B
\nZoom Information: https:\/\/washington.zoom.us\/my\/bime590<\/a>
\n<\/strong>Speaker will present In-Person<\/strong><\/p>\n
\n<\/strong>2026 BIME Vision, History, Strategic Plan and Praxis<\/p>\n
\n<\/strong>The presentation will provide an overview of the Department of Biomedical Informatics and Medical Education through the lens of the current strategic plan. The overview will include vision, history and evolution looking at the synergy between research, education and practice (praxis) as well as the synergy between practice, applied research and foundational research. Within each area (research, praxis, education) current activities and future plans will be reviewed.<\/p>\n
\n<\/strong>Peter Tarczy-Hornoch has 45 years of experience in computer science, over 40 years in biomedical informatics and over 20 years in clinical medicine (pediatrics and neonatology). He has been at the University of Washington since 1992, serving as Head of the Division of Biomedical and Health Informatics since 2001 and serving as Chair of the Department of Biomedical Informatics and Medical Education since 2011. He has served in a variety of operational leadership roles in UW Medicine IT Services since 1992 in the analytics, research, and clinical computing domains, including Chief of Research and Data Integration (2005-15), Chief Data Officer (2022-2026), and Chief Research Information Officer (2024-26). \u00a0He has played a leadership role in the creation and evolution of the BIME educational programs (undergraduate (joint with iSchool), MS\/PhD, postdoctoral, applied clinical informatics MS (CIPCT) joint with Nursing, Clinical Informatics Fellowship joint with Family Medicine). He has led a number of key initiatives in informatics practice (praxis) including the areas of telemedicine, digital library, electronic medical records, data warehousing, analytics, clinical research informatics). His unifying theme of research over the last three decades has been data integration of multimodal electronic biomedical data (clinical, genomic and other data) both for a) knowledge discovery and b) in order to integrate this knowledge with clinical data at the point of care for decision support. His current research focuses on a) secondary use of electronic medical record (EMR) for translational research including outcomes research, learning healthcare systems, patient accrual based on complex phenotypic eligibility criteria, b) the use of EMR systems for cross institutional comparative effectiveness research, and c) integration of genomic data into the EMR for clinical decision support.<\/p>\n
\n-or-
\n<\/em>via Zoom:\u00a0https:\/\/washington.zoom.us\/j\/92158637394?pwd=pi87aK9LVz5Jx7KTPgVq0SX7d2xNIL.1<\/a>
\nMeeting ID: 921 5863 7394
\nPasscode: 424586<\/p>\n
\nBio: <\/strong>Asa<\/strong> is from Seattle, WA, and is currently a senior at the University of Washington studying Mathematics. Prior to working at the Computational Ophthalmology Lab, he spent three years at the UW Neuroinformatics Research and Development Group, where he worked on building software tools for various brain MRI analysis techniques and training a foundation model for anatomical brain MRI. He is currently working on doing survival analysis for Uveal melanoma from ultra widefield optos images.<\/p>\n
\n<\/u><\/strong><\/p>\n
\n<\/u><\/strong>Title: <\/strong>mHealth Adoption and System Integration in Thailand’s Primary Care: A Sequential Mixed-Methods Study of Sor Or Nor Buddy
\nStudent: Chak Charoensilpchai<\/strong>
\nDate\/Time:<\/strong>\u00a0Tuesday, October 6, 8-10am PT
\nIn-Person Location: <\/strong>HSEB – Health Sciences Education Building, HSEB 426
\nZoom: <\/strong>https:\/\/washington.zoom.us\/j\/99323566318<\/a><\/p>\n
\n<\/strong>Date: Friday, October 9, 2026
\nTime: 4:00 PM \u2013 6:00 PM
\nLocation: Husky Union Building (HUB), Room Lyceum, UW Seattle Campus
\nAddress: 4001 E. Stevens Way NE, Seattle, WA 98195
\n
\n<\/strong>Calling all new and returning international master\u2019s and doctoral students! Join us for an afternoon of connection, community, food, games, and prizes while meeting fellow Huskies and exploring valuable campus resources.<\/p>\n\n
September 14, 2026 – September 18, 2026<\/strong><\/h2>\n
\n<\/u><\/strong>BIME 590 \u2013 See you in fall quarter \u2013 10\/1\/2026!<\/strong><\/p>\n
\n-or-
\n<\/em>via Zoom:\u00a0https:\/\/washington.zoom.us\/j\/92158637394?pwd=pi87aK9LVz5Jx7KTPgVq0SX7d2xNIL.1<\/a>
\nMeeting ID: 921 5863 7394
\nPasscode: 424586<\/p>\n
\nBio: Faiz Moazzam <\/strong>is an incoming second-year student. He joined the Computational Ophthalmology Lab in October 2025 and presented his work earlier this year at ARVO 2026. Faiz is currently finalizing his first manuscript and recently participated in a summer fellowship in biomedical machine learning. Faiz is excited to explore the connections between ophthalmology and retinal biomarkers for Alzheimer’s\/dementia, and especially how it connects to machine learning. He is looking for new opportunities to learn and grow as a student and engineer and is excited to connect and collaborate. https:\/\/www.linkedin.com\/in\/faiz-moazzam\/<\/a><\/p>\n
\n<\/u><\/strong>BIME Welcome Reception<\/strong><\/p>\n
\n<\/u><\/strong>Title: <\/strong>mHealth Adoption and System Integration in Thailand’s Primary Care: A Sequential Mixed-Methods Study of Sor Or Nor Buddy
\nStudent: Chak Charoensilpchai<\/strong>
\nDate\/Time:<\/strong>\u00a0Tuesday, October 6, 8-10am PT
\nIn-Person Location: <\/strong>HSEB – Health Sciences Education Building, HSEB 426
\nZoom: <\/strong>https:\/\/washington.zoom.us\/j\/99323566318<\/a><\/p>\n\n
\nhttps:\/\/www.thieme-connect.com\/products\/ejournals\/html\/10.1055\/a-2937-0980<\/a><\/li>\n<\/ul>\n\n
\nhttps:\/\/open.spotify.com\/show\/5ZxV8DHYYriVZP3UJdXhnk<\/a><\/li>\n<\/ul>\n\n
August 17, 2026 – August 21, 2026<\/strong><\/h2>\n
\n-or-
\n<\/em>via Zoom:\u00a0https:\/\/washington.zoom.us\/j\/92158637394?pwd=pi87aK9LVz5Jx7KTPgVq0SX7d2xNIL.1<\/a>
\nMeeting ID: 921 5863 7394
\nPasscode: 424586<\/p>\n
\nBio: Faiz Moazzam <\/strong>is an incoming second-year student. He joined the Computational Ophthalmology Lab in October 2025 and presented his work earlier this year at ARVO 2026. Faiz is currently finalizing his first manuscript and recently participated in a summer fellowship in biomedical machine learning. Faiz is excited to explore the connections between ophthalmology and retinal biomarkers for Alzheimer’s\/dementia, and especially how it connects to machine learning. He is looking for new opportunities to learn and grow as a student and engineer and is excited to connect and collaborate. https:\/\/www.linkedin.com\/in\/faiz-moazzam\/<\/a><\/p>\n
\n<\/u><\/strong>The University of Washington Institute for Medical Data Science is excited to announce the winners of the 2026-27 Pilot Awards. Now in its fourth year, the Pilot Award initiative seeks to stimulate research that enhances UW real-world data from the Electronic Medical Record and other sources of patient data.\u00a0 Awardees were chosen from a wide range of applicants across many fields. This year\u2019s recipients are working toward improving personalized chemotherapy medication preparation, towards predicting rearrest incidents following out-of-hospital cardiac arrest, as well as developing approaches to safer and broader access to anti-amyloid Alzheimer\u2019s therapy.<\/p>\n
\n\u2018Individualized Prediction of Amyloid-Related Imaging Abnormalities (ARIA) for Safer and Broader Access to Anti-Amyloid Alzheimer\u2019s Therapy\u2019<\/em><\/p>\n
\n\u2018Multimodal Biosignal Analysis for Prediction of Rearrest Following Out-of-Hospital Cardiac Arrest\u2019<\/em><\/p>\n
\n\u2018Computer Vision to Automate Assessment of Personalized Chemotherapy Medication Preparation to Prevent Medication Errors\u2019<\/em><\/p>\n
\n2026 Pilot Award Recipients | University of Washington Institute of Medical Data Science<\/a><\/p>\n\n