Bonnes, Sara L.

Background: Artificial intelligence (AI) is increasingly being integrated into healthcare, with applications ranging from predictive analytics to clinical decision support. In clinical nutrition, AI tools offer opportunities to improve workflow efficiency, enhance dietary assessment, and personalize nutrition care. Despite growing interest, little is known about registered dietitian nutritionists’ (RDNs) perceptions of AI in clinical practice. The aim of the present study was to assess RDNs’ attitudes toward AI use within a large healthcare system, along with their perceived barriers in this regard. Methods: A cross-sectional survey was developed through expert review and distributed electronically via REDCap to RDNs across Mayo Clinic’s academic campuses and affiliated health system sites. The 23-item survey included Likert-scale items addressing AI’s potential utilization within clinical care, perceived benefits and risks, and readiness for adoption. Responses were summarized using descriptive statistics. Factor analysis identified underlying constructs related to AI attitudes. Differences stratified by age and years of experience were evaluated using ANOVA. Results: Of the 185 RDNs invited, 64 (35%) responded. Two factors emerged: optimism regarding AI usage (Cronbach’s α = 0.94) and skepticism about implementation (α = 0.76). The overall mean ± SD score for optimism was 0.1 ± 0.6 (neutral), while skepticism averaged 1.0 ± 0.6 (moderate). Skepticism differed by years of experience (p = 0.012), with the lowest levels observed among RDNs with ≥21 years of practice. No significant differences were observed across age groups. Discussion: RDNs demonstrated neutral attitudes toward AI use but expressed concerns about accuracy, training, and implementation challenges. Addressing these concerns through education and structured implementation strategies may facilitate successful adoption of AI in dietetic practice.

Abstract Background Clinical nutrition (CN) is becoming increasingly complex because of the rising prevalence of chronic illness, cancer, and malnutrition‐related conditions such as short bowel syndrome and refeeding syndrome. Despite its clinical significance, nutrition education among US physicians remains limited. Simultaneously, large language model (LLM)–based artificial intelligence assistants (AIAs) have emerged as tools to support complex clinical decision‐making but remain largely untested in CN. Methods This retrospective study evaluated four LLM‐based AIAs—ChatGPT (OpenAI), OpenEvidence (OpenEvidence Inc), Gemini (Google, Google DeepMind), and Copilot (Microsoft Corporation)—using five complex CN cases from our nutrition support service. Each AIA was queried with patient‐specific CN questions. Responses were blinded and reviewed by five physician CN experts using an eight‐item assessment tool evaluating clarity, relevance, evidence, and clinical utility. Results All AIAs produced clinically appropriate responses, with Gemini scoring highest in relevance (4.04) and clarity (4.16). Overall satisfaction scores ranged from 3.08 (Copilot) to 3.84 (Gemini). Citation quality and originality of insights varied and were generally limited, and no consistent differences in performance were observed across the five cases among the four AIAs. Conclusion LLM‐based AIAs can reliably replicate expert reasoning in CN. Although not yet a source of novel clinical insights, the true potential of this approach may lie in its application among physicians without specialized expertise in CN, helping to bridge existing knowledge gaps in nutrition care. Presenting full clinical cases, as shown in this study, could support AIA‐enabled e‐consultation in the future, thereby addressing gaps in CN education.

Background: There is a lack of data regarding the current state of lactation accommodations at continuing medical education (CME) events to guide best practice recommendations. Objective: To evaluate CME attendee attitudes, experiences, and preferences as it pertains to lactation support accommodations at CME events. Design: A cross-sectional study utilizing an electronic-based survey. Methods: Surveys were administered electronically to attendees of seven CME courses from August 2022 to October 2023, and de-identified data were collected to a secure database. Attitudes regarding lactation accommodations, personal preferences for lactation accommodations, and experiences with lactation at CME events were analyzed. Results: Of the 337 survey respondents, 169 had personal experience with lactation and 47 had experience with lactation at a CME course within the past 10 years. The majority of respondents agreed that lactation accommodations should be a priority ( n = 264, 83%) and are a medical need ( n = 285, 89%). Of those with recent experience lactating at a CME course, only 19% ( n = 9) indicated adequate lactation accommodations were provided. Due to inadequate accommodations, 77% ( n = 36) of respondents experienced decreased participation in the CME course content, 70% ( n = 33) claimed fewer hours of CME credit, and 74% ( n = 35) experienced decreased satisfaction in the CME course. Preferences for lactation accommodations included proximity to the meeting, audio–visual streaming of content, privacy, security, and signage supporting lactation in addition to an adequate designated space with access to an electrical plug and water supply. Conclusions: The current state of lactation accommodations at CME courses is inadequate and contributes to inequitable experiences for lactating participants. Course participants are supportive of lactating healthcare professionals at CME courses and recognize lactation accommodations as a priority. Further work is needed to inform and institute changes to lactation accommodations for healthcare professionals.

Background Coronavirus Disease 2019 (COVID-19) has led to dramatic changes including social distancing, closure of schools, travel bans, and issues of stay-at-home orders. The health-care field has been transformed with elective procedures and on-site visits being deferred. Telemedicine has emerged as a novel mechanism to continue to provide care. However, there remains a paucity of data regarding its efficacy in nutrition support, especially in patients with chronic intestinal failure (CIF). Objective Describe the utilization of telehealth in the routine management of CIF, particularly in the initiation and training of home parenteral nutrition (HPN). Methods A case series presenting our experience with the use of telemedicine to provide training for HPN for three patients. The manuscript describes the utility of telehealth in providing remote and adequate training for patients commenced on HPN during COVID-19 pandemic. Results Since the onset of the COVID-19 pandemic, we have successfully provided virtual training to three patients, including two who were noted to be severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive and one patient who could not be transferred to our facility for training. For SARS-CoV-2 positive patients, the risk of transmission to nursing staff with 8–10 h of face-to-face training in two cases was felt to be too significant for in-person training. We determined that the best option would be to stabilize parenteral nutrition in the hospital and perform virtual training. Although virtual training was successfully performed, it was felt that training in this manner took much longer, required frequent adjustment of the tablet device to ensure patient remained in field of view, and made it difficult to connect with the patient emotionally. Conclusions Telemedicine has significantly improved care provided during COVID-19 as a modality for effective training on HPN, while in-person communication was significantly limited due to the pandemic. However, when possible, it should be used in a manner that complements but does not supplant standard care.

Objective: Multicancer Detection (MCD) tests, such as the GRAIL Galleri, offer a novel approach to cancer screening by detecting cancer-specific methylation patterns in cell-free DNA through a single blood sample. This study evaluated an 18-month implementation of MCD testing in a tertiary ambulatory internal medicine clinic. Patients and Methods: Between June 2022 and November 2023, 2244 asymptomatic (without symptoms attributed to cancer) patients underwent MCD testing. The study focused on operational workflows, patient and physician education, and diagnostic follow-up of positive results. Standardized materials, including electronic health record (EHR) workflows, FAQs, and diagnostic pathways, were developed to facilitate implementation. Challenges included managing false positives, patient anxiety, costs, and ethical considerations. Results: Of the 2244 patients tested, 17 (0.76%) had positive results, and 15 underwent further diagnostic evaluation. Cancer was confirmed in 11 (73.3%) patients, including cases of breast, colon, esophageal, lymphoma, ovarian, and pancreatic cancers. Four patients had no identifiable malignancy despite comprehensive work-up. Conclusions: MCD testing is feasible in routine clinical workflows, with 73% of positive cases yielding cancer diagnoses. While promising, further research is required to assess long-term outcomes, cost-effectiveness, and optimal implementation strategies of cancer interception in broader healthcare settings.

Objectives: To identify patient characteristics, health concerns, and barriers to care based on overweight or obesity. Methods: A 50-question anonymous survey was administered to patients. Data were compared by body mass index (BMI). Results: Among 3976 distributed surveys, 899 were returned and 682 were analyzed. Most respondents were women (60%), White (94%), and married/partnered (65%) and had some college education (80%). Younger and unmarried persons had higher BMI ( P < .001). Concern for quality of life ( P < .001) and importance of lifestyle changes ( P = .006) increased with BMI, but confidence in making changes decreased as BMI increased ( P < .001). Perceived good health decreased with increasing BMI ( P < .001), whereas depression and other comorbid conditions increased. Self-esteem decreased and stigma increased with higher BMI (both P < .001). Weight discussions with clinicians ( P < .001) and belief that clinicians should be involved in weight management ( P = .002) increased with BMI, yet self-perception of being judged by clinicians also increased ( P < .001). As BMI increased, delays in seeking health care increased ( P < .001). Conclusions: This survey study highlights perceived health concerns and barriers to care among persons with overweight and obesity. With higher BMI, self-esteem decreased, and stigma, self-perception of poor health, perception of being judged by clinicians, and delay in seeking medical care increased.

Abstract Intestinal failure (IF) is a rare disease that requires ongoing intravenous supplementation to sustain growth and health. Advancements in parenteral nutrition (PN) and central venous access in the 1960s and 1970s transformed a life‐limiting disease to a chronic one in which patients are able to administer hydration, electrolytes, micronutrients, and macronutrients in the comfort of their home. However, despite ongoing advancements in the field of home PN (HPN), complications—whether related to central venous catheters or PN itself—remain common and can be associated with significant morbidity and mortality. Central venous access can be associated with thrombosis, central line–associated bloodstream infection, or damage and can result in loss of access over time. PN can be associated with IF‐associated liver disease or hyperglycemia. The key to preserving central venous access and quality of life and maintaining health for patients with chronic IF (CIF) is education focused on prevention and prompt management of CIF complications as they arise. This education typically takes place at the time of initiation of HPN, either in the hospital setting or in the patient's home. The present manuscript describes the historical progression of HPN, prevalence and characteristics of CIF, and an in‐depth discussion of the most common catheter‐related and PN‐related complications and their management, along with a discussion of our education and training process.

AbstractBackgroundMalnutrition is underrecognized and underdiagnosed, despite high prevalence rates and associated poor clinical outcomes. The involvement of clinical nutrition experts, especially physicians, in the care of high‐risk patients with malnutrition remains low despite evidence demonstrating lower complication rates with nutrition support team (NST) management. To facilitate solutions, a survey was designed to elucidate the nature of NSTs and physician involvement and identify needs for novel nutrition support care models.MethodsThis survey assessed demographics of NSTs, factors contributing to the success of NSTs, elements of nutrition education, and other barriers to professional growth.ResultsOf 255 respondents, 235 complete surveys were analyzed. The geographic distribution of respondents correlated with population concentrations of the United States (r = 90.8%, p < .0001). Most responding physicians (46/57; 80.7%) reported being a member of NSTs, compared with 56.5% (88/156) of dietitians. Of those not practicing in NSTs (N = 81/235, 34.4%), 12.3% (10/81) reported an NST was previously present at their institution but had been disbanded. Regarding NSTs, financial concerns were common (115/235; 48.9%), followed by leadership (72/235; 30.6%), and healthcare professional (HCP) interest (55/235; 23.4%). A majority (173/235; 73.6%) of all respondents wanted additional training in nutrition but reported insufficient protected time, ability to travel, or support from administrators or other HCPs.ConclusionCore actions resulting from this survey focused on formalizing physician roles, increasing interdisciplinary nutrition support expertise, utilizing cost‐effective screening for malnutrition, and implementing intervention protocols. Additional actions included increasing funding for clinical practice, education, and research, all within an expanded portfolio of pragmatic nutrition support care models.