Dr Pignone

Dr. Michael Pignone to Lead Duke CACHE

Duke AI Health welcomes Michael Pignone, MD, MPH, as he takes the helm of the Duke Collaborative to Advance Health Equity (CACHE) effective October 15, 2024. Currently the Rebecca and John Kirkland Distinguished Professor of Medicine and vice chair of Quality and Innovation in the Duke Department of Medicine, Dr. Pignone also serves as the faculty director for Primary Care Transformation and Innovation within the Margolis Center for Health Policy and the Director for Cancer Screening Equity at the Duke Cancer Institute.

“I am delighted to see Dr. Pignone move into this role,” says Richard Shannon, MD, founding director of CACHE and Chief Quality Officer & Chief Medical Officer for Duke Health. “The energy he brings to this work and the breadth of his experience, spanning clinical care, research, policy, and population health, make him an ideal choice to build upon our early successes with this initiative and grow the community partnerships vital to our work.”

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Duke Electronic Health Records Study Design Workshop (EHR-SDW) 2024

Electronic poster for the Duke Electronic Health Records Study Design Workshop taking place December 2-6, 2024. Detailed information on the poster is contained in the body of the webpage.

Duke AI Health is pleased to announce the Duke Electronic Health Records Study Design Workshop (EHR-SDW) 2024. The workshop will be offered in December as a virtual five-day class that provides foundational lectures and hands-on studios on the fundamentals of working with and designing EHR-based studies.

The EHR-SDW is targeted toward individuals interested in learning about how to work with and conduct studies using edata from electronic health records (EHRs). EHR data are a widely available form of real-world data that are being used in different types of studies, spanning clinical trials, comparative effectiveness, risk prediction, population health, and more. The EHR-SDW will introduce learners to the components of EHR data and in considerations for designing effective studies. In addition to didactic lectures, participants will get hands-on experience in working with publicly available tools to facilitate EHR studies (e.g., RxNorm, CCS codes, geocoding), as well as feedback on effective study designs.

This course will be conducted virtually via Zoom.

To register for the EHR-SDW, please visit  https://events.duke.edu/ehr-sdw-2024

To request consideration for a scholarship, please visit https://duke.qualtrics.com/jfe/form/SV_a3Fs9TyyK82Bkr4

The deadline for registration is Thursday, November 21, 2024.

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Spark Initiative for AI in Medical Imaging Officially Launches at Duke

The Duke Spark Initiative for AI in Medical Imaging formally launches this week. Spark’s mission at Duke encompasses research into development and use of artificial intelligence in medical imaging, with an emphasis on collaborative work between physicians across different specialties and machine learning experts.

Portrait of Duke SPARK Director Maciej Mazurowski, PhD

“Spark represents the kind of collaboration that can realize the full potential of the diverse pool of knowledge, talent, and insight across the School of Medicine and the larger university community,” says Mary Klotman, MD, executive vice president for health affairs at Duke University and the dean of the Duke University School of Medicine. “As AI technologies are increasingly integrated into patient care and research, efforts like Duke Spark will be essential for ensuring that these tools yield meaningful benefits for patients and clinicians.”

An interdepartmental effort convened under the umbrella of Duke AI Health, Spark includes a team of faculty researchers and exceptional trainees drawn from the Departments of Radiology, Surgery, Orthopaedic Surgery, Medicine, Electrical and Computer Engineering, Computer Science, and Biomedical Engineering.

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Duke Researchers Receive NIH Grant to Use EHR Data to Explore Late Talking in Children

Portraits of Benjamin Goldstein, PhD (left) and Lauren Franz, MBChB (right)

Duke AI Health Director of Data Science Benjamin Goldstein, PhD, and Interim Director for Duke Center for Autism and Brain Development Lauren Franz, MBChB, have recently been awarded a grant from the National Institutes of Health to develop approaches for using existing sources of health data to better understand late language emergence in children, or “late talking.” Late talking often co-occurs with autism and is frequently “undercoded” in medical records, which can affect whether children and families receive referrals for early intervention. The R21 grant, which is part of the NIH’s cross-institute Tackling Acquisition of Language in Kids (TALK) Initiative, will support efforts at Duke to apply machine learning to compare coding data in electronic health records (EHRs) with free-text information in EHR notes to determine whether indications of late talking recorded there are matched by appropriate coding.

The work will also leverage longitudinal health data and NC-statewide sources of claims data to shed additional light on developmental pathways, including methods for analyzing co-occurring factors that may predispose children to late talking, as well as downstream effects of delayed language acquisition later in life. Another focus for the project will be the health equity dimensions of late talking, including differences across gender, language, and race and ethnicity.

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Duke AI Health Welcomes Michael Zavlanos as Director in Healthcare System Optimization

Picture of Michael Zavlanos, PhD and the text "“We are very excited about the unique insights Dr. Zavlanos will bring to challenges that directly affect the performance of our health system and the experiences of our patients and the clinicians and staff who care for them.” – Duke AI Health Director Michael Pencina, PhD"

Duke AI Health has recently welcomed Michael Zavlanos, PhD, as Director in Healthcare System Optimization for Duke AI Health. In this newly created role, Dr. Zavlanos will direct efforts focused on developing and implementing machine learning, optimization, and other algorithmic tools to increase operational efficiency and resource use in health care at Duke.

Currently a professor in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University’s Pratt School of Engineering and an Amazon Scholar with Amazon Robotics, Dr. Zavlanos received his doctorate in electrical and systems engineering from the University of Pennsylvania, where he specialized in robotics and autonomous control systems. More recently, at Duke, Dr. Zavlanos has begun to explore the potential for using data gathered from “real-world” clinical settings to solve problems with a direct impact for patients.

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Ricardo Henao Rejoins Duke in New Role as DCRI Associate Director of Clinical Trials AI

Duke Clinical Research Institute and AI Health are delighted to announce the return of Dr. Ricardo Henao to Duke, starting July 1! After a leave of absence at the King Abdullah University of Science and Technology (KAUST) in Saudi Arabia, Dr. Henao has returned to North Carolina as Associate Director of Clinical Trials AI for the Duke Clinical Research Institute (DCRI) and as a member of AI Health’s Faculty Council. Dr. Henao is Associate Professor in the Department of Biostatistics and Bioinformatics at Duke University School of Medicine.

“We are very excited about Dr. Henao’s return to Duke given his enormous contributions both to teaching and to developing novel methods for applying probabilistic modeling to deep learning algorithms,” notes Duke AI Health Director Michael Pencina, PhD. “Ricardo’s innovative work has been key to multidisciplinary efforts at Duke and beyond to improve predictive modeling for clinical outcomes,” he continues, noting that Henao’s gifts as a collaborator, methodologist, and teacher will be in high demand.

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AI Health Welcomes Dr. Monica Agrawal as New Faculty Affiliate

Portrait of Monica Agrawal, PhD, and the quoted text: "“We’re tremendously excited to welcome Monica to Duke. Not only does she bring an outstanding academic track record, but also a wealth of real-world experience that’s directly relevant to some of the most pressing problems we’re working to solve in the world of health AI.” David Page, PhD Chair, Department of Biostatistics & Bioinformatic"

Please join us in welcoming Monica Agrawal, PhD, to Duke AI Health! Dr. Agrawal, who has a joint appointment through the Duke School of Medicine’s Duke Department of Biostatistics & Bioinformatics and the Department of Computer Science, will also be joining Duke AI Health as a Faculty Affiliate, where she will work on AI applications that facilitate clinical decision support and improve accessibility for patients.

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Flyer about the Duke/Duke-NUS Virtual Symposium on AI

Virtual Symposium on AI Presented by DAISI (Duke NUS AI + Medical Sciences Initiative)

Duke University and Duke-NUS Medical School in Singapore’s AI + Medical Sciences Initiative (DAISI) invite you to a virtual symposium on AI, in partnership with the Duke AI Health Community of Practice.

This two-hour event on Thursday, June 6 from 8am – 10am (EDT) will feature lightning talks — short, fast-paced presentations — presented by faculty and staff involved in health-related topics.

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Photograph of participants at the poster showcase

Scientific Writing Workshop Series Empowers Staff

By Jessica Johnstone

A successful poster session held at the Duke’s School of Nursing this past March marked the completion of a new writing workshop series conducted by the Duke AI Health Community of Practice. This initiative, titled “Foundations of Scientific Writing for Staff Members,” was focused on helping operational staff develop and extend their scientific and scholarly communication skills.

“Although we made use of a traditional lecture-style format, we also designed the series with an eye to interactivity and student participation,” said Jonathan McCall, MS, communications director for Duke AI Health.

McCall, who helped lead the didactic portions of the workshops, went on to note that the organizers didn’t want the virtual classes, held via Zoom, to consist solely of “talking head” instruction.

“One feature that arose almost through improvisation – using small breakout sessions during the classes – helped keep things engaging for our learners,” he added.

The workshop series invited individuals with varying degrees of experience in scientific writing but was particularly focused on encouraging participation from a broad spectrum of staff, including coordinators, project managers, project leaders, and analysts. Learners had the opportunity to choose poster topics that aligned with their interests and experience in operational processes, program descriptions, communication strategies, and more.

“I’m thrilled to witness the growth and enthusiasm among participants as they honed their scientific writing skills throughout the workshop series,” said project manager Jessica Johnstone, who helped organize and run the workshop series while also participating in it as learner.

The workshop series, which was produced in collaboration with the Duke Clinical and Translational Science Institute (CTSI), comprised five sequential sessions that addressed basic principles of scholarly writing and publication and provided a foundation for hands-on experience developing posters. Although classes were conducted remotely, the culminating poster session, held on March 13th at the Christine Siegler Pearson Building at the School of Nursing, was an in-person event. Incorporated into the first day of the Fostering AI/ML Research for Health Equity and Learning Transformation (FAIR HEALTH™) symposium hosted by DUSON professor Michael Cary, PhD, RN, the interactive poster session gave participants a forum to showcase their work and gain experience both in presenting and discussing it.

“Our goal for this workshop series was to create a valuable addition to our employees’ training and development,” said workshop organizer Shelley Rusincovitch, MMCi, FAMIA, managing director of Duke AI Health and co-director of the CTSI Biomedical Informatics & Data Science (BIDS) Pillar. “We’re very glad to see this program succeed and we appreciate the support of CTSI’s leadership in making it possible.”

 

 

Input from ChatGPT (chat.openai.com) was used to revise and edit this article.

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Flyer for the March 13-14 symposium

Registration now open for the March 13-14 Duke Symposium on Fostering AI/ML Research for Health Equity and Learning Transformation (FAIR HEALTH™)

We are thrilled to invite you to our upcoming symposium, Fostering AI/ML Research for Health Equity and Learning Transformation (FAIR HEALTH™), scheduled for March 13-14, 2024, at the Duke University School of Nursing in Durham, NC. This two-day event is dedicated to advancing discussions on cutting-edge research and practices aimed at promoting equity and fairness in algorithmic systems.

Attendance is free and open to everyone. Please join us! Register at https://duke.qualtrics.com/jfe/form/SV_6RIrLwyKEyM8FOm

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