Grounded in reality: artificial intelligence in medical education.

Background: In a recent survey, medical students expressed eagerness to acquire competencies in the use of artificial intelligence (AI) in medicine. It is time that undergraduate medical education takes the lead in helping students develop these competencies. We propose a solution that integrates competency-driven AI instruction in medical school curriculum. Methods: We applied constructivist and backwards design principles to design online learning assignments simulating the real-world work done in the healthcare industry. Our innovative approach assumed no technical background for students, yet addressed the need for training clinicians to be ready to practice in the new digital patient care environment. This modular 4-week AI course was implemented in 2019, integrating AI with evidence-based medicine, pathology, pharmacology, tele-monitoring, quality improvement, value-based care, and patient safety. Results: This educational innovation was tested in 2 cohorts of fourth year medical students who demonstrated an improvement in knowledge with an average quiz score of 97% and in skills with an average application assignment score of 89%. Weekly reflections revealed how students learned to transition from theory to practice of AI and how these concepts might apply to their upcoming residency training programs and future medical practice. Conclusions: We present an innovative product that achieves the objective of competency-based education of students regarding the role of AI in medicine. This course can be integrated in the preclinical years with a focus on foundational knowledge, vocabulary, and concepts, and in clinical years with a focus on application of core knowledge to real-world scenarios.

Effect of Default Order Standardization on Opioid Prescribing Patterns.

BACKGROUND: Opioid misuse, overprescribing, dependency, and overdose remains a significant concern in the United States. A quality improvement study was conducted at the University of Illinois Hospital & Health Sciences System to determine the effect of standardizing the default orders for hydrocodone-acetaminophen products implemented on June 22, 2016. METHODS: Prior to the intervention, default orders had variable dose tablet numbers (1 or 2) and dosing frequencies (every 4 or 6 hours), and no default dispense quantity. Defaults were modified to 1 tablet every 6 hours as needed for pain and dispense quantities of 3 and 5 days' supply were added. Number of tablets per order, dosing frequency, and days' supply prescribed between January 1, 2016, and June 21, 2016, were compared to those placed between June 22, 2016, and December 31, 2016. Opioid doses were converted into morphine milligram equivalents (MME). Analyses were performed to determine the effect of the intervention on daily opioid dose and number of days' supply prescribed. RESULTS: 22,052 orders were included in this study. Following the intervention, the number of tablets prescribed was reduced by an average of 19,832 tablets per month. Every 6 hours dosing (as opposed to every 4 hours) increased by 21.52 percentage points. Prescriptions with ≥ 50 MME/day dropped by 5.8 percentage points, and > 3 days' supply decreased by 2.54 percentage points. Linear regression demonstrated an increase in opioid prescriptions with daily < 50 MME (odds ratio [OR] = 1.72, p < 0.001) and ≤ 3 days' supply (OR = 1.27, p < 0.001). CONCLUSION: Default electronic health record settings strongly influence prescribing patterns.

21st Century Good Neighbor Program: An Easily Generalizable Program to Reduce Social Isolation in Older Adults.

Aim: In this once-in-a-lifetime humanitarian crisis, what does it mean to be a good neighbor? It means that as a community, we must address loneliness and barriers to care faced by vulnerable populations such as older adults. We share an inexpensive longitudinal experiential service-learning program implemented by health professions and undergraduate student volunteers that aims to help alleviate loneliness in older adults while imparting meaningful experiences to volunteers. Intervention Design and Setting: The 21st Century Good Neighbor Program is an observational cohort study of an experiential service-learning program started in May 2020, and this article shares the results collected after 1 year. This longitudinal, weekly phone call program was conducted in a single community setting in the Midwestern part of the United States. Older adults over the age of 60 served by a local community service agency (CSA) were invited to participate. Volunteers consisted of students 18 or older. Student volunteers made regular phone calls to a pair of older adults throughout the course of 1 year following standardized call scripts. The loneliness of the older adults was measured by volunteers using the 3-item UCLA Loneliness Assessment. Results: 261 older adults were engaged in conversations with a volunteer. A total of 1,391 calls were accepted by older adults and the median length of a welcomed call was 11 min. The average baseline loneliness score was 4.156 ± 1.41 and the prevalence of social isolation was 19.5%. There was no significant change in the UCLA loneliness score in the first year of follow up. However, a majority of volunteers (88%) agreed or strongly agreed that the program had a positive impact on them. In addition, the program identified 257 issues older adults faced that required follow-up. The most prevalent concerns referred to the community service agency by volunteers were issues related to utilities, food and transportation access. Conclusion: The 21st Century Good Neighbor Program is a unique intervention in which student volunteers and older adults paired by a community service agency forge relationships though a longitudinal phone call-based program. This easy-to-implement program provides another layer of support to identify and refer issues that impact social determinants of health. The added benefit of volunteer satisfaction in the setting of COVID 19 pandemic is heartening. We hope to continue to study the impact of this intervention on social isolation in this vulnerable population.

A case of flavor-induced lung disease.

Bronchiolitis obliterans, a rare inflammatory disorder of the small airways, has been associated with various infections, aspiration, toxic fume inhalation, drugs, transplants, and collagen vascular disorders. In May 2000, this condition was described in eight workers in a microwave popcorn plant in Missouri. Subsequent studies reported its association with exposure to volatile organic compounds used in butter flavoring. Diacetyl was found to be the most predominant of these compounds. We report a case of this rare but serious disease in a 41-year-old flavor industry worker who was initially diagnosed with occupational asthma.