In my own life, I find fulfillment when I help others succeed. Through my research, I want to empower clinicians to improve the lives of children. In clinical practice, I focus on neonatology, congenital diaphragmatic hernia and neonatal respiratory physiology.
My research focus includes clinical informatics. More specifically, I work toward improving usability in the science of healthcare delivery. I try to bring modern technologies, such as machine learning and dynamic interfaces, into patient care safely.
As a long-term hobby programmer, I enjoy the puzzle of writing code to coax computers into performing specific tasks. As a resident physician, I organized data for newborn care using simple spreadsheets and Visual Basic scripts. This information not only helped clinicians by presenting the relevant clinical information concisely, but it also generated a streamlined clinical note, including any didactic comments from the clinician. This experience helped me recognize my potential to combine my clinical and informatics expertise to help others succeed.
My current research allows me to automate some tasks, such as information gathering and data mining. Clinicians then interpret this information to provide better clinical care for every patient. I am at my best when I help improve the effectiveness, efficiency and satisfaction of healthcare providers.
BA: Mathematics and Chemistry, Taylor University, Upland, IN, 2006.
MD: Mayo Clinic College of Medicine, Rochester, MN, 2010.
Residency: Pediatrics, Mayo Clinic College of Medicine, Rochester, MN, 2013.
Fellowship: Neonatal and Perinatal Medicine, Vanderbilt University Medical Center, Nashville, TN, 2016.
MS: Biomedical Informatics, Vanderbilt University, Nashville, TN, 2016.
Certification: American Board of Pediatrics, 2013.
Neonatology
Neonatology, Perinatal, Fetal Care, Newborn Intensive Care NICU, Congenital Diaphragmatic Hernia
Clinical informatics; user-centered design; human-computer interaction; quality improvement; novel software development
Biomedical Informatics, Neonatology
A Randomized Trial Comparing Classical Participatory Design to VandAID, an Interactive CrowdSourcing Platform to Facilitate User-centered Design. Methods of Information in Medicine. 2017; 56:344-349.
Topics in Neonatal Informatics: Essential Functionalities of the Neonatal Electronic Health Record. NeoReviews.org. 2015; 16:e668-e673.
Core Functionality in Pediatric Electronic Health Records. Rockville, MD: Agency for Healthcare Research and Quality (US).
Genetic sex validation for sample tracking in next-generation sequencing clinical testing. BMC Research Notes. 2024; 17:62.
Special Requirements of Electronic Health Record Systems in Pediatrics: Clinical Report. Pediatrics. 2024; 154:e2024068509.
Education and electronic medical records and genomics network, challenges, and lessons learned from a large-scale clinical trial using polygenic risk scores. Genetics in Medicine. 2023; 25:100906.
Returning integrated genomic risk and clinical recommendations: The eMERGE study. Genetics in Medicine. 2023; 25:100006.
Access to Critical Health Information for Children During Emergencies: Emergency Information Forms and Beyond. Pediatrics. 2023; 151:e27-e36.
Artificial intelligence in bronchopulmonary dysplasia- current research and unexplored frontiers. Pediatric Research. 2023; 93:287-290.
P695: Adolescents’ state anxiety and decisional regret one week after learning carrier results for autosomal recessive disorders. 2023; 1:100767.
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