SIDM Programs | Introducing the Fellows and Seed Grantees of 2022
2022-2023 Fellows in Diagnostic Excellence Selected
The Society to Improve Diagnosis in Medicine (SIDM) has selected eight new Fellows in Diagnostic Excellence for the 2022-2023 cohort, with support from the Gordon and Betty Moore Foundation. The one-year fellowship program matches qualified candidates with mentors who are recognized leaders in diagnostic error education, research, or practice improvement in order to develop and implement a project to improve diagnostic quality and safety.
“The fellowship continues to cultivate the next generation of leaders in diagnostic safety” says Paul Bergl, MD, fellowship director, and 2017 Fellow. “I have been thrilled to see our growing network of fellowship alumni filling leadership roles and advancing SIDM’s goals – in their home institutions, their professional organizations, and in SIDM itself.” According to Bergl, this year’s fellowship class includes many ‘firsts’ for the program, including the first international fellows as well as fellows working for the first time on understudies’ areas of diagnostic safety.
This year’s Fellows in Diagnostic Excellence are:
- David Burstein, MD, MS from Rush University Medical Center
- Dhara Amin, MD from Cook County - John H. Stroger Jr Hospital
- Susrutha Kotwal, MD, SFHM from Johns Hopkins University School of Medicine
- Gabor Toth, MD, PhD from University of Debrecen Clinical Center
- Mary Dahm, PhD, MA from The Australian National University
- Adina Kern-Goldberger, MD MPH from Hospital of the University of Pennsylvania
- Margaret Perlia Bavis, DNP, APRN, FNP-BC from Rush University College of Nursing
- David Kudlowitz, MD NYU from Grossman School of Medicine
Through support from The John A. Hartford Foundation, the program also now includes an Age-Friendly Care Fellow in Diagnostic Excellence who will develop and implement a project to improve diagnostic quality and safety for older adults. This year’s Age-Friendly Care Fellow in Diagnostic Excellence is:
- Julie Ngoc Thai, MD, MPH from UCSF Geriatrics Department of Medicine
The program, now in its seventh year, was created to support early-career scholars who demonstrate commitment to diagnosis-related work.
DxQI Seed Grant Program awards 3rd Cohort
The DxQI Seed Grant Program, a competitive grant program to fund quality improvement interventions to improve diagnosis for up to $50,000, has awarded its 3rd cohort of grantees with support from the Gordon and Betty Moore Foundation. The DxQI program focuses on a “bottom-up” approach, where frontline health professionals and patients develop and test plausible solutions that have the potential for scale and spread. Grantees focused on developing interventions to reduce diagnostic errors in three specific disease categories — cancers, vascular events, and infections. Many grantees also focused on improving diagnostic quality outcomes related to health disparities associated with age, race, gender, or other social determinants of health. Through support from The John A. Hartford Foundation, the program also includes an Age-Friendly Care DxQI Seed Grant awardee who will implement a project to improve diagnostic quality and safety for older adults.
“There are very few proven real-world solutions to minimize the harm diagnostic errors can cause,” said Gerard M. Castro, PhD, MPH, PMP, Director of Quality Improvement, SIDM. “The DxQI grants awarded through the program are a good first step in learning what kinds of best practices we can build into the diagnostic process to ensure that patients receive a diagnosis that is accurate, determined in a timely manner, and effectively communicated.”
This year’s DxQI Seed Grant awardees are:
- Baylor College of Medicine – Anemia in Post-Menarchal Pediatric Patients in the Emergency Department: Addressing Inequities in Evaluation and Management
- Beth Israel Deaconess Medical Center – Improvement in Quality and Equity of Iron Deficiency Anemia Evaluation Using a Standardized Clinical Registry
- Beth Israel Deaconess Medical Center – Reducing diagnostic communication errors in radiology practice through Human Factors engineering
- Bingham Memorial Hospital – Improving Cancer Diagnosis and Care in Southeast Idaho
- Cedars-Sinai Medical Center – Design and Implementation of Diagnostic Discrepancy Reports to Calibrate Decision-Making in the Emergency Department
- Eastern Health – FORMAT: Falls Outreach and Residential Mobile Assessment Team
- Huntsville Hospital Foundation – Improving Racial Equities in Lung Cancer Outcomes in the Greater Huntsville African American Community
- Intermountain Healthcare – Improving Sexually Transmitted Infection Testing in a Large Urgent Care Network
- Jacobi Medical Center – Using a Pediatric Resident Peer Network to Implement an "Improve Diagnosis Change Package" at Jacobi Medical Center, a Large NYC Municipal Safety-Net Hospital
- #MEAction/Mayo Clinic – Improving Diagnostic Accuracy of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Through Implementation of an Enhanced Education Protocol and Care Process Model
- MedStar Institute for Quality and Safety – Improving communication between older adults and providers to reduce diagnostic errors
- Michael E. DeBakey VA Medical Center – Identifying current clinical care processes to reduce delays in colorectal cancer diagnoses
- Nationwide Children's Hospital – Reducing Emergent Transfers due to Septic Shock by Improving Situational Awareness
- John's Well Child and Family Center – Improving The Screening Mammography Rate in an FQHC setting in South Los Angeles
- University of Iowa Carver College of Medicine – Reducing Delays and Healthcare Disparities in Chronic Kidney Disease Diagnosis Among Veterans through a Telenephrology Dashboard
- University of Pennsylvania Health System – Using Implementation Science Methods to Understand the Contribution of Communication Failures to Diagnostic Errors and the Impact on Racial Disparities in Severe Maternal Morbidity
- University of Pittsburgh – Improving diagnosis of perinatal hepatitis C in pediatric primary care
- Yale University School of Medicine – PE SafetyNet: An Artificial Intelligence-Enhanced Emergency Department Pulmonary Embolism Safety Net Focused on Reducing Diagnostic Delay
This year’s Age-Friendly DxQI Seed Grant awardee is:
- University of Rochester Medical Center – Improving EMS Assessment of Geriatric Fall Patients: An Opportunity for Improving Diagnosis in the Prehospital Care Setting