Telemedicine journal and e-health : the official journal of the American Telemedicine Association最新文献

{"title":"Application of Telehealth and Artificial Intelligence in Military Health Care: A Promising Combination for the Future.","authors":"Patrick L Scheid, Hynek Schvach, Simon E Scheid","doi":"10.1177/15305627261440761","DOIUrl":"10.1177/15305627261440761","url":null,"abstract":"<p><strong>Background: </strong>Military and peace-support operations increasingly depend on medical capability delivered under difficult circumstances: distance, limited number of specialists, disrupted connectivity, and mass-casualty risk. Consequently, military health care systems operate during missions in uniquely constrained and high-risk environments, ranging from remote bases and naval platforms to active combat zones and humanitarian missions. These mission contexts demand rapid, reliable, and scalable medical solutions that can function despite limited personnel, infrastructure, and connectivity.</p><p><strong>Method: </strong>By reviewing existing literature and considering several different programs for military health care using telehealth and artificial intelligence (AI), the key performance indicators are explored to evaluate the synergy of telehealth and AI, following its implementation.</p><p><strong>Results: </strong>Telehealth has become an increasingly important component of modern health care and holds the promise of increasing access to (special) health care without moving the patient but the information. Telehealth also enables continuity of care on missions and has already demonstrated its value in extending medical expertise across distance, while AI is evolving rapidly as a powerful enabler of decision support, automation, and predictive analytics in the medical field. As AI capabilities mature, several medical specialties may benefit, particularly in medical imaging, through faster triage, more consistent interpretation, and better prioritization of scarce specialist time. It also contributes to \"decision support \"while making proposals based on big data, machine learning and AI (e.g., in a Trauma registry). Telehealth provides the communication backbone that preserves these interactions and enables safe use of AI-enabled support in dispersed operations.</p><p><strong>Conclusions: </strong>The convergence of telehealth and AI in military health care will lead to a strategic capability with increased efficiency and enhance readiness, resilience, access to medical care, and quality of care for military personnel, including faster and more accurate diagnoses and better patient monitoring. Both technologies (AI and telehealth) are expected to continue to advance and play an even larger role in optimizing health care in the military.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"827-835"},"PeriodicalIF":2.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147640808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond Telemedicine Adoption: Assessing Telemedicine-Related Competencies Among Nurses in the United Arab Emirates.","authors":"Heba Khalil, Ali Rammal, Rasha Wahbea, Rexy Powlin Rose Xavier, Fatma Ahmed, Wegdan Bani-Issa, Muhammad Subu, Nabeel Al-Yateem","doi":"10.1177/15305627261444704","DOIUrl":"10.1177/15305627261444704","url":null,"abstract":"<p><strong>Background: </strong>Telemedicine (TM) is increasingly integrated into health care delivery; however, its safe and effective implementation depends on the competency of the nursing workforce. Although previous research has examined TM utilization among nurses, evidence regarding TM competency levels remains limited.</p><p><strong>Purpose: </strong>To assess TM-related competencies across four domains: awareness, knowledge, attitudes, and skills among nurses in the United Arab Emirates, and identify factors associated with each domain.</p><p><strong>Methods: </strong>A cross-sectional survey was conducted among 434 nurses working in governmental health care facilities. TM competencies were measured using a structured online questionnaire incorporating demographic characteristics and the validated TM Awareness, Knowledge, Attitude, and Skills instrument. Descriptive statistics and multiple linear regression analyses were performed to evaluate competency levels and their predictors.</p><p><strong>Results: </strong>Nurses demonstrated high TM knowledge (81.44 ± 22.27) and positive attitudes (81.42 ± 10.27), with 77.0% and 92.4% of participants scoring high in these domains, respectively. Awareness (55.89 ± 26.17) and skills (57.11 ± 23.01) were more moderate, with only 28.6% and 24.4% of nurses scoring high in these domains, respectively. Interest in TM was a positive predictor of competency across all domains (<i>p</i> < 0.001). Postgraduate education and TM training were associated with higher awareness, while male gender, postgraduate qualification, and higher interest predicted improved skill scores. Regression models explained 8-16% of variance across competency domains.</p><p><strong>Conclusions: </strong>Although nurses demonstrated strong knowledge and positive attitudes toward TM, gaps remain in awareness and practical skills. Competency-based, skill-focused TM training is needed to support safe and sustainable integration into nursing practice.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"854-862"},"PeriodicalIF":2.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147731187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"By Design: Health Systems Facing Challenges.","authors":"Charles R Doarn","doi":"10.1177/15305627261470061","DOIUrl":"10.1177/15305627261470061","url":null,"abstract":"","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"769-770"},"PeriodicalIF":2.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148428554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Telemedicine and Digital Health Interventions for the Management of Metabolic Syndrome: A Systematic Review of Clinical Outcomes.","authors":"Ayleen Bertini, Maite Bahamondes, Jonathan Rojas, Paola Puebla, Sandra Rodriguez, Javiera Quijada","doi":"10.1177/15305627261443161","DOIUrl":"10.1177/15305627261443161","url":null,"abstract":"<p><strong>Background: </strong>Metabolic syndrome (MetS) is a major risk factor for type 2 diabetes and cardiovascular disease. In recent years, telemedicine and digital health interventions have emerged as promising strategies to support lifestyle modification and the long-term management of cardiometabolic conditions. However, their clinical effectiveness in MetS remains heterogeneously reported.</p><p><strong>Methods: </strong>A systematic review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. PubMed, Scopus, and Web of Science were searched for studies published between 2019 and 2024. Eligible studies included adults with MetS or its components and evaluated telemedicine or technology-enabled interventions, including mobile health (mhealth) applications, remote monitoring, wearable devices, or telecommunication-based care. Outcomes of interest included waist circumference (WC), glycemic parameters, blood pressure, and lipid profile.</p><p><strong>Results: </strong>Twenty seven studies met inclusion criteria. Most interventions incorporated telemedicine components such as remote coaching, digital feedback, and continuous monitoring, frequently delivered through mobile platforms and wearable technologies. These interventions consistently resulted in reductions in WC, while modest but recurrent improvements were observed in glycemic control and blood pressure. Effects on lipid parameters were more variable, with more frequent improvements in high-density lipoprotein cholesterol than in low-density lipoprotein cholesterol. Higher intervention intensity and user engagement were associated with greater clinical benefits.</p><p><strong>Conclusions: </strong>Telemedicine and digital health interventions represent effective adjuncts to conventional lifestyle management of MetS, particularly for central obesity and glycemic outcomes. Their ability to deliver scalable, personalized, and remotely supported care highlights their potential role in cardiometabolic prevention and management. Further research is needed to standardize intervention components and optimize long-term effectiveness.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"771-784"},"PeriodicalIF":2.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147731191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance of Large Language Model-Based Chatbots in Primary Health Care Teleconsultations: A Comparison Between Human and Artificial Intelligence-Generated Responses.","authors":"Gabriela Dário Mendes Barros, Carlos Eduardo Menezes Amaral, César Macieira, Mariana Abreu Caporali de Freitas, Fernanda Pedrosa de Paula, Alaneir de Fátima Dos Santos","doi":"10.1177/15305627261471706","DOIUrl":"10.1177/15305627261471706","url":null,"abstract":"<p><strong>Introduction: </strong>Telehealth is a strategic component of primary health care and has advanced in Brazil through the National Telehealth Program. Its benefits can be enhanced by artificial intelligence (AI), which has emerged as a promising tool. This study aims to compare the performance of real human and AI-generated responses to queries submitted to the teleconsultation services of the Telehealth Center of the UFMG Faculty of Medicine (NUTEL FM-UFMG), a member of the Telehealth Brazil Program.</p><p><strong>Methods: </strong>This is a comparative cross-sectional study of 180 real human and AI-generated responses, evaluated in a blinded manner according to quality criteria (medical adequacy, conciseness, coherence, and comprehensibility), risk potential, authorship identification accuracy, and inquiry resolution. Data from NUTEL FM-UFMG (January 2020 to May 2024) were utilized, covering cardiology, endocrinology, and obstetrics/gynecology (OB-GYN). Statistical analysis included the Shapiro-Wilk test, Kruskal-Wallis test, Nemenyi multiple comparison test, chi-square test, and Fisher's exact test.</p><p><strong>Results: </strong>Across all specialties, a significant difference was observed in comprehensibility, with AI mean scores surpassing those of humans. For the remaining quality criteria, as well as for risk potential and inquiry resolution, no significant differences were found, despite AI scoring higher than humans. Within specific specialties, significant differences was observed in endocrinology (except conciseness) and cardiology (in conciseness); AI showed superior means. Across all specialties, as well as individually within endocrinology and OB-GYN, the accuracy of authorship identification (human vs. AI) was statistically significant.</p><p><strong>Conclusion: </strong>Despite existing limitations, AI demonstrates substantial potential as a support tool for teleconsultation services.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"15305627261471706"},"PeriodicalIF":2.0,"publicationDate":"2026-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148595391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining the Willingness to Utilize Telehealth Among Women Who Own a Smartphone and Live in Urban Areas of Nigeria.","authors":"Promise A Emmanuel, Katelyn O Coburn, Gilbert R Parra, Rochelle L Dalla","doi":"10.1177/15305627261472295","DOIUrl":"https://doi.org/10.1177/15305627261472295","url":null,"abstract":"<p><strong>Background: </strong>In Nigeria, women face significant barriers to accessing health care, including long distances to health care facilities, lack of autonomy, stigma surrounding health concerns, and the unavailability of primary and specialty care. Telehealth can facilitate access to care by eliminating physical distance barriers and enhancing ease and privacy. Yet, limited research has been conducted on its use and how it is perceived in Nigeria.</p><p><strong>Methods: </strong>Guided by the theoretical framework of acceptability (TFA), this study explored Nigerian women's perceptions of telehealth and assessed for behavioral factors that influence willingness to use telehealth. Two hundred and eighty-eight adult women living in urban areas of Nigeria completed an online survey.</p><p><strong>Results: </strong>Most respondents reported willingness to use telehealth (93.0%), with 69 (25.3%) very willing and 152 (55.7%) willing to use telehealth. Although 50.0% of the respondents reported having heard about telehealth, only 74 (27.2%) reported prior experience using telehealth, out of which 46 (69.7%) and 14 (21.2%), respectively, reported positive and very positive experiences using telehealth. Although all TFA constructs were correlated with willingness to use telehealth, only positive view of telehealth burden (<i>β</i> = 0.19, <i>p</i> = 0.03) and self-efficacy (<i>β</i> = 0.20, <i>p</i> = 0.015) were significant unique predictors of willingness.</p><p><strong>Conclusions: </strong>This study provides insight into how telehealth might be adopted by Nigerian women and suggests that although only a few have previously utilized telehealth and only half of the respondents had been aware of telehealth prior to taking the survey, most are willing to utilize it to meet their health care needs.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"15305627261472295"},"PeriodicalIF":2.0,"publicationDate":"2026-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148595322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SAFE-T System Telehealth Sexual Assault Nurse Examiner (TeleSANE) Consultation: Real-Time Changes to Medical Forensic Examinations for Adolescent and Adult Survivors in Rural and Underserved Communities.","authors":"Sheridan Miyamoto, Jennifer Delwiche, Jessica Keim-Malpass, Yoon Sun Hur, Sr Agnes Marie Cummings","doi":"10.1177/15305627261470990","DOIUrl":"https://doi.org/10.1177/15305627261470990","url":null,"abstract":"<p><strong>Background: </strong>Telehealth technology can expand access to expert sexual assault nurse examiner (SANE) care in rural and underserved areas. Research previously demonstrated that telehealth-supported sexual assault nurse examiner (teleSANE) intervention led to changes in examination methods and evidence collection practices among a pediatric population; however, little is known about the impact of the intervention on changes among adolescent and adult victims of sexual assault (SA). The purpose of this study is to examine how SAFE-T System^TM teleSANE consultations influence medical forensic examination (MFE) recommendations and changes for adolescent and adult survivors of SA in rural and suburban communities.</p><p><strong>Methods: </strong>From June 2021 to September 2024, SAFE-T System teleSANEs provided 24/7 live telehealth consultations to local SANE-trained nurses at 11 hospitals in rural or suburban communities. A researcher-developed quality assurance tool was completed to assess the impact of the teleSANE consultation.</p><p><strong>Results: </strong>Analysis of 178 teleSANE consultations conducted by 18 teleSANEs partnered with 64 local SANEs across 11 hospitals. TeleSANE consultations resulted in changes across 7 domains and 12 subcategories: The 8 domains include: Patient-centered Communication (67.4%); Initial History/Data Gathering (42.1%); Forensic Evidence Collection (78.7%); Use of Multimethod Techniques (65.7%); Use of Adjunct Techniques (60.1%); Photo Documentation (51.1%) and Quality (59.6%); Post-assault Clinical Recommendations (43.8%); and Strangulation Evaluation (17.5%).</p><p><strong>Conclusions: </strong>Telehealth technology partnering expert teleSANEs with local SANEs in forensic specialty limited-access areas resulted in substantive changes to MFEs. These changes may reflect improved quality of care and enhanced forensic evidence collection.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"15305627261470990"},"PeriodicalIF":2.0,"publicationDate":"2026-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148595420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustained Utilization of Video-Based Outpatient Psychiatry Visits Following the COVID-19 Public Health Emergency at an Academic Health Center.","authors":"Brent Heineman, Grace Chan, Neha Jain","doi":"10.1177/15305627261471704","DOIUrl":"https://doi.org/10.1177/15305627261471704","url":null,"abstract":"<p><strong>Background: </strong>Telepsychiatry expanded rapidly during the COVID-19 pandemic to support continuity of psychiatric care, although its long-term durability following the expiration of pandemic-era policies remains uncertain. This study evaluated long-term utilization of telepsychiatry and patient and clinician acceptability within outpatient practice.</p><p><strong>Methods: </strong>A repeated cross-sectional electronic health record analysis of outpatient psychiatric visits from 2020 to 2025 compared in-person and virtual visit completion and no-show rates across five annual intervals. Telepsychiatry acceptability was evaluated through a patient survey administered in 2021-2022 (<i>n</i> = 655) and clinician surveys conducted in 2020 (<i>n</i> = 50) and 2025 (<i>n</i> = 38).</p><p><strong>Results: </strong>Among 219,007 visits, 44% were in-person and 56% were virtual. The overall no-show rate was 10.46%, with no significant difference between visit types (<i>p</i> = 0.178). Two intervals demonstrated significant differences: 2021-2022 (virtual = 9.6%, in-person = 11.0%, <i>p</i> < 0.001) and 2024-2025 (virtual = 11.9%, in-person = 10.9%, <i>p</i> < 0.001). The percentage of no-show visits increased as virtual visits decreased (Spearman's correlation = -0.90, <i>p</i> = 0.037). Most patients agreed that their telepsychiatry visit was as good as in-person (92.4%) and more convenient (97.1%). Provider belief that virtual visits were as effective as in-person decreased from 92.0% in 2020 to 74.3% in 2025 (<i>p</i> = 0.026).</p><p><strong>Conclusions: </strong>Telepsychiatry utilization remains a substantial component of outpatient care. Comparable no-show rates and high patient satisfaction support telepsychiatry as a viable and acceptable modality, although provider enthusiasm appears to have moderated over time.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"15305627261471704"},"PeriodicalIF":2.0,"publicationDate":"2026-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148582124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preparing Medical Students for Virtual Care: Perceptions of Adoption.","authors":"Bree Holtz, Sabrina Ford, Naadiyahtu Iddrisu, Andrea Wendling, Kelly Hirko","doi":"10.1177/15305627261470983","DOIUrl":"https://doi.org/10.1177/15305627261470983","url":null,"abstract":"<p><strong>Introduction: </strong>As telemedicine becomes an integral component of health care delivery, understanding factors that influence medical students' acceptance of this technology is essential. This study explores medical students' perceptions of telemedicine adoption using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework.</p><p><strong>Methods: </strong>A cross-sectional survey of 98 medical students assessed telemedicine perceptions across UTAUT constructs: performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), social influence (SI), and behavioral intention (BI). Open-ended responses were thematically analyzed using a deductive approach to contextualize quantitative findings.</p><p><strong>Results: </strong>PE was the strongest predictor of BI to use telemedicine among medical students (<i>B</i> = 0.771, <i>p</i> < 0.001), whereas EE, SI, and FC were not significant predictors. Qualitative responses reinforced telemedicine's perceived value, particularly for improving access to care and shaping future health care delivery, while highlighting limited formal training and a desire for more structured learning opportunities.</p><p><strong>Conclusions: </strong>These findings support integrating structured telemedicine training, experiential learning, and mentorship into medical curricula to enhance readiness for delivering technology-enabled care.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"15305627261470983"},"PeriodicalIF":2.0,"publicationDate":"2026-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148475674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reliability, Accuracy, and Timeliness of Autism Telehealth Evaluations by Pediatricians.","authors":"Kathryn Marsh, Ngoc Thien Nguyen, Tracy Burton, Steven Hicks","doi":"10.1177/15305627261440763","DOIUrl":"10.1177/15305627261440763","url":null,"abstract":"<p><strong>Objective: </strong>Early diagnosis of autism spectrum disorder (ASD) can facilitate timely intervention and improved developmental outcomes, but many children wait over a year for ASD evaluation. Telehealth assessments by pediatricians may address geographic and workforce barriers for children awaiting ASD evaluation. The goal of this study was to assess the reliability, accuracy, and timeliness of ASD telehealth evaluations by pediatricians. We hypothesized this approach would demonstrate reliability with specialist evaluation, concordance with in-person diagnosis, and wait-time reductions.</p><p><strong>Methods: </strong>Thirty-two pediatricians received standardized training, completed fidelity/reliability testing, and utilized a novel evaluation model employing validated screening, parent-interview, and child observation tools. Interrater reliability of 32 pediatricians who administered 200 telehealth cases was assessed relative to blinded clinical supervisors. The diagnostic accuracy of 27 pediatricians who watched 19 video-recorded telehealth cases (494 total assessments) was compared to in-person diagnosis for the 19 children. Wait time for a telehealth assessment was compared to wait time for an in-person assessment for 2,483 children.</p><p><strong>Results: </strong>There was 91.5% scoring agreement (95% CI: 0.893-0.932) between pediatricians and clinical supervisors (<i>p</i> < 0.001, K = 0.206) on 200 cases. On 19 video-recorded cases, there was 93.5% accuracy (PPV = 0.957; NPV = 0.811) between the in-person diagnosis and the 494 diagnoses provided by 27 pediatricians. The average wait time for 2,483 children who received telehealth evaluations (11.7 days) was shorter (W = 3.08 × 10⁶, <i>p</i> < 0.001) than the average in-person wait time (11.8 months).</p><p><strong>Conclusions: </strong>These results demonstrate that telehealth evaluations by general pediatricians offer a reliable, accurate, and timely approach to ASD assessment through a scalable, nationwide model.</p>","PeriodicalId":520784,"journal":{"name":"Telemedicine journal and e-health : the official journal of the American Telemedicine Association","volume":" ","pages":"739-745"},"PeriodicalIF":2.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147641080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}