Volume 04 | January 24, 2022

UCSF will welcome an accomplished healthcare leader with more than 20 years of experience to lead the academic medical center and health system. His prior roles include CEO at the University of Iowa Health system and Chief Information Officer (CIO) at UT Southwestern. The latter role illustrates his deep appreciation of the value of informatics, which will be exciting as UCSF continues to pursue its digital transformation.
The Bakar Institute is excited to announce the newly established Joint UCSF-UC Berkeley Program in Computational Precision Health. Co-Directed by leaders from both campuses: Ida Sim MD, PhD, professor of medicine at UCSF and Maya Petersen MD, PhD, associate professor of biostatistics and epidemiology at Berkeley, the program will leverage resources and expertise from both the UCSF Bakar Computational Health Sciences Institute and Berkeley's Division of Computing, Data Science, and Society to establish a new joint PhD and Designated Emphasis option for existing students. The program will train the next generation of researchers to design, build and test innovations such as machine learning, digital health and clinical decision support systems within real-world clinical and public health settings to ensure that solutions meet real-world needs.
Congratulations to Steve Hays, MD, on his recent appointment as UCSF’s Medical Director, Transplant Digital Health Transformation. A professor of medicine and medical director for UCSF’s Lung Transplant Program, Hays is no stranger to the Center for Digital Health Innovation’s Digital Patient Experience (DPE) Program.
Recently, Hays was highlighted in UCSF’s Digital Byte where he talked about the collaboration between the DPE and UCSF Lung Transplant Programs, and how they were able to quickly deploy the virtual lung chat program to meet the needs of the immunosuppressed post-transplant patients who still needed monitoring.
 >>More Info (Note: VPN access required to read this story.)
Atul Butte testified before the US Congressional Subcommittee on Health of the Committee on Energy and Commerce on “The Future of Biomedicine: Translating Biomedical Research into Personalized Healthcare”, alongside Amy Abernethy, Adolph P. Falcón, Leroy Hood, and Lloyd Minor. He discussed the application of data science to medicine and the implications for using real-world health data to inform policy decisions. When asked what biases exist in artificial intelligence and their effects on healthcare, Dr. Butte testified, “All of us as computational innovators have to do better by working with data in an open, fair, accountable, and governed way."
>>Click here to listen to the full hearing
Aaron Neinstein, MD was one of seven new members appointed to the Health Information Technology Advisory Committee (HITAC) for a three-year term starting January 2022. HITAC was established as part of the 21st Century Cures Act and provides recommendations to the National Coordinator for Health Information Technology on policies, standards, implementation specifications, and certification criteria relating to the implementation of a health information technology infrastructure that advances the electronic access, exchange, and use of health information. Under Aaron's leadership, UCSF and UCSF Health have advocated for health IT policy changes for many years, including the expansion of data elements included in the core data for nationwide interoperability in mid-2021.
On December 7th, Julia Adler-Milstein was invited to speak at the Learning Health System Collaboratory at the University of Michigan Medical School about the current state of US interoperability. She discussed issues researchers face when trying to access data to pursue health-related research questions as well policy solutions to reduce these barriers. When speaking on the importance of health information exchange for our healthcare system, she said, “As a country we need to make a decision if we want this to be a priority...we have technical underpinnings...now we need much stronger financial incentives to get HIE integrated into daily health care delivery.”
Kay Burke, Chief Nursing Informatics Officer at UCSF Medical Center, has a strong vision to optimize the care continuum across the health system for patients, providers, and staff alike. But this won't just happen overnight: in this segment, we learn how digitally transformed teams can pave the way for large scale organizational change.
As part of a broader research team, John Mongan and Kimberly Kallianos, UCSF Center for Intelligent Imaging (ci2)researchers, developed an AI algorithm that can enable clinicians to estimate the CAC score on routine non-contrast chest CT, potentially allowing opportunistic early preventative interventions.
Additionally, at UCSF, we are live in production with automated AI coronary artery calcium scoring on our non-contrast chest CTs – an important milestone for the UCSF ci2 as it becomes the first medical center to put this algorithm into production.
Marina Sirota’s work using real-world evidence for drug repurposing in Alzheimer’s was featured in an NIH press release. The project analyzed information in databases of brain tissue samples and FDA-approved drugs, performed mouse and human cell experiments, and explored human population studies to identify bumetanide, a commonly available diuretic pill, as a leading drug candidate that may potentially be repurposed to treat Alzheimer’s in populations who are at genetic risk for the disease.
In Review: DPE Program Highlights from the UC 2021 Telehealth Summit
This October, colleagues gathered from across the UC system to share experiences, successes, and challenges during a year that provided exceptional opportunities for telehealth.
Four Digital Patient Experience (DPE) Program members presented at the annual UC Telehealth Summit on digital health innovation and transformation, virtual care, and more.

In case you missed the event, you can find recaps and videos of these sessions on the DPE blog:

This was a University of California internal event. Please do not share the
videos externally.
CLIIR Awarded R01 from the National Library of Medicine
In partnership with Washington University in St. Louis’s Institute for Informatics, CLIIR received an R01 from the National Library of Medicine to measure EHR activities in telemedicine encounters using novel measures of task switching derived from audit log data. The project will compare data across pre- and COVID-19-periods to characterize the differences in EHR-based activities between face-to-face and telemedicine encounters. Findings will be used to develop design guidelines and translate them into actionable strategies to improve EHR support for telemedicine.
APeX is UCSF's Electronic Health Record system. If you have an algorithm, digital tool, or intervention (e.g., for clinical decision support) that you would like to get in front of UCSF clinicians or patients for the purposes of a research study, you can now submit a CTSI consultation to find out how to move your idea forward.
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Tang A, Oskotsky T, Sirota M. Personalizing routine lab tests with machine learning. Nat Med. 2021;27(9):1514-1515. doi:10.1038/s41591-021-01486-4. >>Full Article
Aguilera A, Hernandez-Ramos R, Haro-Ramos AY, et al. A Text Messaging Intervention (StayWell at Home) to Counteract Depression and Anxiety During COVID-19 Social Distancing: Pre-Post Study. JMIR Mental Health. 2021;8(11):e25298. doi:10.2196/25298. >>Full Article
Wang M, Pantell MS, Gottlieb LM, Adler-Milstein J. Documentation and review of social determinants of health data in the EHR: measures and associated insights. Journal of the American Medical Informatics Association. 2021;28(12):2608-2616. doi:10.1093/jamia/ocab194. >>Full Article
Pedoia V, Caliva F, Kazakia G, Burghardt AJ, Majumdar S. Augmenting Osteoporosis Imaging with Machine Learning. Curr Osteoporos Rep. 2021;19(6):699-709. doi:10.1007/s11914-021-00701-y. >>Full Article
Nguyen TT, Nguyen QC, Rubinsky AD, et al. Google Street View-Derived Neighborhood Characteristics in California Associated with Coronary Heart Disease, Hypertension, Diabetes. Int J Environ Res Public Health. 2021;18(19):10428. doi:10.3390/ijerph181910428. >>Full Article
Adler-Milstein J, Chen JH, Dhaliwal G. Next-Generation Artificial Intelligence for Diagnosis: From Predicting Diagnostic Labels to “Wayfinding.” JAMA. 2021;326(24):2467-2468. doi:10.1001/jama.2021.22396. >>Full Article
Health Informatics Grand Rounds
Health Informatics Grand Rounds are hosted by Russ Cucina, the UCSF Health Chief Health Information Officer, and are attended by an array of physicians, nurses, researchers, trainees and other professionals passionate about health informatics. Contact Dr. Raman Khanna to be added to the calendar invite.

4th Thursdays | 3:30pm – 5:00pm