About

Dr. Kristin G. Wong is a practicing physician treating children and adults with clinical interests that include primary care services for patients of all ages, transitioning adolescents and young adults from pediatric/family-centered care to adult/patient-centered care, chronic pain management, mother-baby health, and weight management. She received her medical degree from the University of Kansas School of Medicine and completed a combined Internal Medicine and Pediatrics residency at Rutgers New Jersey Medical School, where she served as Chief Resident for Medicine-Pediatrics in her final year. She also served as Chief Resident for Internal Medicine at University Hospital. Since 2017, Dr. Wong has been the Medicine Pediatrics Program Director, overseeing the clinical training of the combined residency program and educating residents and medical students during electives and rotations within the division. She was promoted to Associate Professor of Medicine and Pediatrics in 2022. Dr. Wong is certified by the American Board of Internal Medicine and the American Board of Pediatrics.

Research topics

• Medicine
• Artificial Intelligence
• Computer Science
• Psychology
• Internal medicine
• Mathematics
• Virology
• Management science
• Surgery
• Anesthesia
• Intensive care medicine
• Engineering

Selected publications

• Comparative Study between Two Corrosion Growth Assessment Methods

  2026-02-09

  article1st authorCorresponding

  Abstract Pipelines are susceptible to corrosion, which can weaken their structural integrity and pose significant operational, environmental, and safety risks. Corrosion Growth Assessments (CGAs) are essential for ensuring the integrity of pipeline systems by identifying and quantifying historical corrosion activity. The results from CGAs are critical inputs for Fitness-for-Purpose (FFP) assessments that predicts when corrosion anomalies may require repair / investigation. This paper presents a comparative analysis of two common deterministic CGA methodologies using repeat Axial Magnetic Flux Leakage (Axial MFL) In-Line-Inspection (ILI) data. The two CGA methods are box-to-box matching and signal-to-signal matching comparisons. In summary, this paper highlights the comparative strengths and limitations of two common deterministic CGA methodologies used to support pipeline integrity management. The differences between box-to-box matching and signal-to-signal matching and their subsequent impacts on the predicted future integrity of a pipeline will be explored. For multiple case studies, using two (2) sets of Axial MFL ILI data acquired from the same pipeline, quantitative comparisons between estimated depth changes and corrosion growth rates (CGRs), number of anomalies predicted for repair over a set time interval, among other topics will be further explored.

  PublisherDOI

• Medical Students on Their Internal Medicine Clerkship Experience Short Sleep Duration

  ATS Scholar · 2025-04-03 · 1 citations

  articleOpen access

  Abstract Background Third-year medical students during their internal medicine clerkship may be predisposed to short sleep duration (<7 h of sleep per night) because of rigorous clinical schedules and academic demands. Objective To evaluate the prevalence of short sleep duration, its impact on performance, and perceived causes among third-year medical students on their internal medicine clerkship. Methods During the 2023–2024 academic year, third-year medical students at Rutgers Robert Wood Johnson Medical School (RWJMS) and Rutgers New Jersey Medical School completed a survey at the end of their internal medicine clerkship regarding their sleep practices. The schools differed in clerkship structure and grading system. Data were analyzed and compared between schools using the Fisher exact test. Responses for an open-ended question on sleep strategies were categorized into themes by sleep physicians. Results Of the 314 third-year medical students invited, 222 (70.7%) completed the survey. Short sleep duration was reported by nearly two-thirds of our cohort (143, 64.4%), with a significantly higher prevalence at RWJMS. Most reported sleep-related impairment on clinical duties or educational activities for 1–3 days per week (125, 56.3%), with more reporting ≥4 days per week at RWJMS. About one-third of our cohort reported drowsy driving either 1–3 days (82, 36.9%) or ≥4 days (68, 30.6%) per week. Despite high rates of short sleep duration, the overwhelming majority (196, 88.3%) had never received education on sleep management. Conclusion Short sleep duration is prevalent among third-year medical students during their internal medicine clerkship, potentially impacting their clinical performance and safety.

  PublisherDOI

• The Evolving Landscape of the Medicine-Pediatrics Workforce: Lessons From the Last 10 Years

  Cureus · 2025-02-11

  articleOpen access1st authorCorresponding

  Objective As a combined subspecialty, internal medicine-pediatrics (Med-Peds) physicians have played a significant role in both primary care and subspecialty care across the country. Over the last decade, the workforce has continued to grow and evolve. Thus, this study aims to characterize the current landscape of the Med-Peds workforce to address preconceptions and shine a light on current practice characteristics and career paths. Understanding factors influencing this group's career path is vital in addressing the needs of an aging population and physician shortages. Methods The survey study was designed by the Committee on Pediatric Workforce of the American Academy of Pediatrics (AAP) and modified by the Section of Medicine-Pediatrics (SOMP) Executive Committee. The survey was distributed electronically via SurveyMonkey to 3,536 AAP Section members and 3,230 Med-Peds members of the American Medical Association (AMA). There were 1,395 respondents, 956 of whom had completed Med-Peds residency training by 2022 and were eligible to be included in this study. Descriptive statistics and analysis, including frequency distributions and measures of central tendency, were used to summarize all responses. Statistical tests such as t-tests and z-proportions were used for comparative analysis. Results The majority of the Med-Peds physician workforce continued to practice across all ages (89.6%) as primary care physicians (65.4%) and worked an average of 50 hours per week. However, there has been a growing number of hospitalists (27.4%) and a trend toward practices in urban communities at academic medical centers. Growing financial concerns about educational debt and pay gaps between internal medicine and pediatrics as well as differences between early and late-career physicians also revealed changes in career choices, but overall satisfaction in training and specialty decisions was maintained. Conclusions Despite a multitude of external pressures affecting the workforce, Med-Peds physicians were satisfied with their training. They continue to add to the primary care sector and continue to see patients of all ages. While this versatile workforce can aid in the provision of care to populations particularly vulnerable during their transitions of care, such as children with complex medical needs, factors like increasing educational debt, widening pay gaps, and local competition will contribute to changes seen in work type and career paths. Further research to understand the career decisions of this workforce is needed to better address the rising physician shortages plaguing the entire country.

  PublisherOA PDFDOI

• Med-Peds Workforce Landscape

  Academic Pediatrics · 2025-11-01

  article
  PublisherDOI

• The biomechanics and perception of performance footwear for protection

  Footwear Science · 2025-06-20 · 1 citations

  articleSenior author
  PublisherDOI

• Analyzing X and LinkedIn usage among society of asian academic surgeons officers

  The American Journal of Surgery · 2024-09-06 · 1 citations

  editorialOpen access
  PublisherOA PDFDOI

• A Wake-up Call for Medical Students' Sleep Education

  2024-04-30

  article
  PublisherDOI

• Chronic Pain

  2024-01-01

  book-chapterSenior authorCorresponding
  PublisherDOI

• Internal Medicine and Internal Medicine-Pediatrics Residency Program Website Traffic Patterns Across Two Institutions and Five Electronic Residency Application Service (ERAS) Cycles

  Cureus · 2024-07-09

  articleOpen accessSenior author

  Background Since the start of the COVID-19 pandemic in Spring 2020, medical residency program recruitment has become increasingly web-based due to the transition to virtual interviews. Although social media use by residency programs has soared during this time, applicant surveys show that official program websites remain the most used online resource. According to survey-based studies, the content that applicants favor on program websites tends to mirror their priorities in choosing programs. However, it is unclear whether applicant-reported priorities in program choice and website content truly drive program website traffic. In this analysis, we will elucidate website traffic patterns from two Internal Medicine residency programs and two Internal Medicine-Pediatrics programs, both in terms of the thematic content of high-traffic pages and changes in traffic patterns throughout the Electronic Residency Application Service (ERAS) application cycle. We will provide novel, data-driven guidance to residency program leadership regarding website content. Methodology For each of the four programs included in the analysis, total pageviews on a monthly basis were obtained for the annual ERAS application cycles taking place from 2017 through 2022. For one Internal Medicine program, data was only available for its current website from 2020 to 2022. The mean monthly pageviews were calculated for each page within each website. The total site traffic trends across each year and within high-traffic months were totaled as well. Results As expected, the highest traffic period for all programs in all years was the days before the application deadline, with a secondary, smaller spike in traffic around Match Day. In general, the most popular pages for all four programs were thematically in line with the top five applicant priorities in the 2022 National Resident Matching Program applicant survey, namely, geographic location, goodness of fit, program reputation, work/life balance, and current program residents. Three of the websites featured unique content that unexpectedly proved to be as popular as the top survey-reported topics, such as pages related to a new major clinical site, a new integrated subspecialty pathway, and, most profoundly, a pipeline program for certain applicants from groups that are underrepresented in medicine. Alumni career content was also heavily trafficked across all four programs. Conclusions Program directors should plan twice-yearly updates to residency program websites, timed to be finished by the start of the ERAS cycle in the fall, and again just before Match Day in March. Program directors should include specific, up-to-date information about unique program features. Future research should incorporate a more diverse variety of programs, software-based page content analysis, and traffic source data.

  PublisherOA PDFDOI

• Using ChatGPT in the Development of Clinical Reasoning Cases: A Qualitative Study

  Cureus · 2024 · 8 citations

  1st authorCorresponding
  • Computer Science
  • Artificial Intelligence
  • Computer Science

  Background There has been an explosion of commentary and discussion about the ethics and utility of using artificial intelligence in medicine, and its practical use in medical education is still being debated. Through qualitative research methods, this study aims to highlight the advantages and pitfalls of using ChatGPT in the development of clinical reasoning cases for medical student education. Methods Five highly experienced faculty in medical education were provided instructions to create unique clinical reasoning cases for three different chief concerns using ChatGPT 3.0. Faculty were then asked to reflect on and review the created cases. Finally, a focus group was conducted to further analyze and describe their experiences with the new technology. Results Overall, faculty found the use of ChatGPT in the development of clinical reasoning cases easy to use but difficult to get to certain objectives and largely incapable of being creative enough to create complexity for student use without heavy editing. The created cases did provide a helpful starting point and were extremely efficient; however, faculty did experience some medical inaccuracies and fact fabrication. Conclusion There is value to using ChatGPT to develop curricular content, especially for clinical reasoning cases, but it needs to be comprehensively reviewed and verified. To efficiently and effectively utilize the tool, educators will need to develop a framework that can be easily translatable into simple prompts that ChatGPT can understand. Future work will need to strongly consider the risks of recirculating biases and misinformation.

  PublisherOA PDFDOI

Frequent coauthors

• Christin Traba

  Rutgers, The State University of New Jersey

  21 shared

• Neil Kothari

  Rutgers, The State University of New Jersey

  17 shared

• Alla Fayngersh

  Rutgers New Jersey Medical School

  17 shared

• Daniel Matassa

  Rutgers New Jersey Medical School

  13 shared

• David Cennimo

  Veterans Biomedical Research Institute

  13 shared

• Éric Bouffet

  Aga Khan University Hospital

  12 shared

• G.I. Dhall

  12 shared

• Bożenna Dembowska–Bagińska

  Children's Memorial Health Institute

  9 shared

Education

• M.D.

  University of Kansas School of Medicine

  2008