Peroxisome deficiency underlies failures in hepatic immune cell development and antigen presentation in a severe Zellweger disease model.

Peroxisome biogenesis disorders (PBDs) represent a group of metabolic conditions that cause severe developmental defects. Peroxisomes are essential metabolic organelles, present in virtually every eukaryotic cell and mediating key processes in immunometabolism. To date, the full spectrum of PBDs remains to be identified, and the impact PBDs have on immune function is unexplored. This study presents a characterization of the hepatic immune compartment of a neonatal PBD mouse model at single-cell resolution to establish the importance and function of peroxisomes in developmental hematopoiesis. We report that hematopoietic defects are a feature in a severe PBD murine model. Finally, we identify a role for peroxisomes in the regulation of the major histocompatibility class II expression and antigen presentation to CD4+ T cells in dendritic cells. This study adds to our understanding of the mechanisms of PBDs and expands our knowledge of the role of peroxisomes in immunometabolism.

Automatic Speech Recognition System to Record Progress Notes in a Mobile EHR: A Pilot Study.

Creating notes in the EHR is one of the most problematic aspects for health professionals. The main challenges are the time spent on this task and the quality of the records. Automatic speech recognition technologies aim to facilitate clinical documentation for users, optimizing their workflow. In our hospital, we internally developed an automatic speech recognition system (ASR) to record progress notes in a mobile EHR. The objective of this article is to describe the pilot study carried out to evaluate the implementation of ASR to record progress notes in a mobile EHR application. As a result, the specialty that used ASR the most was Home Medicine. The lack of access to a computer at the time of care and the need to perform short and fast evolutions were the main reasons for users to use the system.

Development and Usage Patterns of a Home-Grown Drug Information Tool.

Drug information tools help avoid medication errors, a common cause of avoidable harm in health care systems. We sought to describe the design, development process and architecture of an electronic drug information tool, as well as its overall use by health professionals. We developed a tool that can be accessed by all health professionals in a tertiary level university hospital. The functionalities of eDrugs are organized into two main parts: Drug Summary sheet, and Prescription Simulator. Most users accessed eDrugs to use the Drug summary sheet. Clinical information and antimicrobial drugs were the most accessed drug information and drug group. The analysis of log data provides insights into the information priorities of health professionals.

Integrating Dermoscopic Images into PACS Using DICOM and Modality Worklist.

Dermatology is one of the medical fields outside the radiology service that uses image acquisition and analysis in its daily medical practice, mostly through digital dermoscopy imaging modality. The acquisition, transfer, and storage of dermatology images has become an important issue to resolve. We aimed to describe our experience in integrating dermoscopic images into PACS using DICOM as a guide for the health informatics and dermatology community. During 2022 we integrated the video dermoscopy equipment through a strategic plan with an 8-step procedure. We used the DICOM standard with Modality Worklist and Storage commitment. Three systems were involved (video dermoscopy software, the EHR, and PACS). We identified critical steps and faced many challenges, such as the lack of a final model of DICOM standard for dermatology images.

Unscheduled Emergency Department Revisits Within 48 Hours of Discharge.

This study aimed to analyze early revisits (within 48 hours of discharge) in an Emergency Department. Among the 178,295 visits, 11,686 were revisits, resulting in a rate of 6.55% (95%CI 6.43-6.67). A total of 1,410 revisits required hospitalization, and 252 were due to preventable errors (17.87%). These errors were mainly related to an inadequate therapeutic plan at discharge (47.22%), an incomplete diagnostic process (29.37%), and misdiagnoses (13.10%). These findings represent a technology-enabled clinical audit tool. Electronic Healthcare Records have the potential to: provide quality metrics of hospital performance, help to keep revisit rates updated (assessment through a real-time dashboard), and improve clinical management (by transparency initiatives about errors, and a supportive learning environment regarding lessons learned).

Effect of the COVID-19 Lockdown on Patients Valuation of Usability of Telemedicine.

The aim of this paper was to report patient valuation of usability with our telemedicine system and to explore the effect of pandemic in its behavior. We conducted a cross-sectional study based on the prospective recollection of the results of the Spanish abbreviated version of the Telehealth Usability Questionnaire (TUQ), from October 2019 to July 2020. We observed an inflection point of growth of answers during the pandemic era and a trend of decrease in usability valuations coinciding with the massive and forced implementation of the system after lockdown. This effect was transitory, evidencing an improvement over time. These results might be explained with a sociotechnical approach that includes considering the learning curve and suggest the importance of a telemedicine usability tool to guide decision-making. In conclusion, tools to assess telemedicine services may identify facilitators and barriers to its use in a highly changing social and technological context.

Development of an ASR System for Medical Conversations.

In this work we document the development of an ASR system for the transcription of conversations between patient and doctor and we will point out the critical aspects of the domain. The system was trained with an acoustic base of spontaneous speech that has a domain language model and a supervised phonetic dictionary. Its performance was compared with two systems: a) NeMo End-to-End Conformers in Spanish and b) Google API ASR (Automatic Speech Recognition) Cloud. The evaluation was carried out on a set of 208 teleconsultations recorded during the year 2020. The WER (Word Error Rate) was evaluated in ASR, and Recall and F1 for recognized medical entities. In conclusion, the developed system performed better, reaching 72.5% accuracy in the domain of teleconsultations and an F1 for entity recognition of 0.80.

Bioinformatics Architecture for Integrating Genomics Data into Electronic Health Records.

The adequate management of patients' genomic information is essential for any health institution pursuing the Precision Medicine model. Here we approach a bioinformatic architecture that allows the Institution to store its whole genetic test data in a scalable database, and also the integration of that genetic data with the Electronic Health Record through a Clinical Decision Support System. The system complements patient care by suggesting referral to genetic counseling for patients who are potentially at risk of hereditary breast/ovarian cancer, and allowing for proper follow-up of patients with pathogenic variants in BRCA1 or BRCA2 genes. The implemented solution uses the FHIR standard and genetic nomenclatures from the Human Genome Variation Society and the HUGO Gene Nomenclature Committee. The architecture is flexible enough to allow any other health institution to integrate -to their information ecosystem- the whole solution or some of the modules according to its degree of digitization progress.

Improving Waiting Time for Chemotherapy with Ahead-of-Time Drug Preparation.

Waiting time for chemotherapy infusion is a fundamental factor to measure quality of care. It has been shown that a prolonged waiting time is related to a higher incidence of anticipatory nausea and poor patient adherence to scheduled appointments and recommended oncology treatment programs. Some chemotherapy regimens can be prepared hours ahead-of-time, due to long stability. We aimed to study the effect of an informatic-led workflow redesign intervention, facilitating workflow changes in the Oncology Pharmacy, on patient waiting time. This intervention included changes on EHR processes and the chemotherapy CPOE. Their main effect was allowing ahead-of-time preparation of selected chemotherapy regimes. We conducted a cross sectional study, comparing waiting times pre and post intervention periods. A total of 4600 programmed chemotherapy episodes were included. We found a 26.5 % decrease in the mean wait time in the post intervention period (p > 0.02). We were able to show a decrease in waiting time and a measurable impact of the intervention. This evaluation produced valuable and actionable data for Oncology units and adds a valuable, Latin American experience to the literature.

Mayor uso de teleconsultas programadas y mensajería asincrónica del portal en atención primaria / Increased Use of Scheduled Teleconsultations and Asynchronous Portal Messaging in Primary Care

Introducción: durante la pandemia de COVID-19 hubo un auge sin precedentes de la telemedicina, probablemente por la forzada adopción de tecnología ante las medidas restrictivas. El presente estudio se propuso comparar la interacción y la comunicación entre médicos de cabecera (MC) y pacientes, antes y durante el período de pandemia, en términos de consultas ambulatorias programadas y mensajes del Portal de Salud. Materiales y métodos: corte transversal con muestreo consecutivo de turnos programados y mensajes, ocurridos entre las semanas epidemiológicas (SE) 10 y 23, de 2019 y 2020, respectivamente. Se incluyeron 147 médicos del Servicio de Medicina Familiar y Comunitaria, y una cápita de 73 427 pacientes afiliados al Plan de Salud del Hospital Italiano de Buenos Aires. Se realizó análisis cuantitativo y cualitativo. Resultados: hubo una reducción del 70% de las consultas presenciales (de 76 375 en 2019 a 23 200 en 2020) y un aumento concomitante de teleconsultas (de 255 en la SE13 a 1089 en la SE23). En simultáneo, los mensajes aumentaron sustancialmente (de 28 601 en 2019 a 84 916 en 2020), con un inicio abrupto al comienzo del confinamiento, y una tendencia decreciente a lo largo del tiempo. Antes de la pandemia, el contenido estuvo relacionado con órdenes electrónicas de estudios complementarios, control de resultados, recetas de medicación crónica y/o interconsultas a especialistas, mientras que los dominios más frecuentes durante la pandemia fueron necesidades informativas epidemiológicas, como medidas preventivas para COVID-19, vacuna antineumocócica, vacuna antigripal, casos o sospechas, resultados de hisopados, entre otras. Conclusión: el auge de las tecnologías de la comunicación e información durante la pandemia permitió dar continuidad a los procesos asistenciales en salud pese al distanciamiento físico. Hubo mayor utilización de mensajería por necesidades informativas de los pacientes, y la relación médico-paciente se ha modificado. (AU)

Introduction: during the COVID-19 pandemic, there was an unprecedented boom in telemedicine, probably due to the forced adoption of technology in the face of restrictive measures. This study aimed to compare the interaction and communication between general practitioners and patients before and during the pandemic based on scheduled outpatient consultations and Health Portal messages. Materials and methods: Cross-sectional study with a consecutive sampling of scheduled appointments and messages, occurring between epidemiological weeks (EW) 10 and 23 of 2019 and 2020, respectively. We included 147 physicians from the Family and Community Medicine Service and a capita of 73427 patients affiliated with the Hospital Italiano de Buenos Aires health plan. We conducted a quantitative and qualitative analysis. Results: there was a 70% reduction in face-to-face consultations (from 76375 in 2019 to 23200 in 2020) and a concomitant increase in teleconsultations (from 255 in EW13 to 1089 in EW23). Concurrently, messages increased substantially (from 28601 in 2019 to 84916 in 2020), with an abrupt onset at the beginning of confinement and a decreasing trend over time. Before the pandemic, the content involved electronic orders for complementary studies, outcome monitoring, chronic medication prescriptions, or expert consultations. The most frequent domains during the pandemic were epidemiological information needs, such as preventive measures for COVID-19, pneumococcal vaccine, influenza vaccine, cases or suspicions, and swab results, among others. Conclusion: the rise of communication and information technologies during the pandemic allowed the continuity of healthcare processes despite the physical distance. There was increased use of messaging for patients' information needs, and the doctor-patient relationship has changed. (AU)

A dataset of skin lesion images collected in Argentina for the evaluation of AI tools in this population.

In recent years, numerous dermatological image databases have been published to make possible the development and validation of artificial intelligence-based technologies to support healthcare professionals in the diagnosis of skin diseases. However, the generation of these datasets confined to certain countries as well as the lack of demographic information accompanying the images, prevents having a real knowledge of in which populations these models could be used. Consequently, this hinders the translation of the models to the clinical setting. This has led the scientific community to encourage the detailed and transparent reporting of the databases used for artificial intelligence developments, as well as to promote the formation of genuinely international databases that can be representative of the world population. Through this work, we seek to provide details of the processing stages of the first public database of dermoscopy and clinical images created in a hospital in Argentina. The dataset comprises 1,616 images corresponding to 1,246 unique lesions collected from 623 patients.

Radiomics and Machine Learning for prediction of two-year disease-specific mortality and KRAS mutation status in metastatic colorectal cancer.

PURPOSE: Colorectal cancer is usually accompanied by liver metastases. The prediction of patient evolution is essential for the choice of the appropriate therapy. The aim of this study is to develop and evaluate machine learning models to predict KRAS gene mutations and 2-year disease-specific mortality from medical images. METHODS: Clinical and follow-up information was collected from patients with metastatic colorectal cancer who had undergone computed tomography prior to liver resection. The dominant liver lesion was segmented in each scan and radiomic features were extracted from the volumes of interest. The 65% of the cases were employed to perform feature selection and to train machine learning algorithms through cross-validation. The best performing models were assembled and evaluated in the remaining cases of the cohort. RESULTS: For the mortality model development, 101 cases were used as training set (64 alive, 37 deceased) and 35 as test set (22 alive, 13 deceased); while for KRAS mutation models, 55 cases were used for training (31 wild-type, 24 mutated) and 30 for testing (17 wild-type, 13 mutated). The ensemble of top performing models resulted in an area under the receiver operating characteristic curve of 0.878 for mortality and 0.905 for KRAS prediction. CONCLUSIONS: Predicting the prognosis of patients with metastatic colorectal cancer is useful for making timely decisions about the best treatment options. This study presents a noninvasive method based on quantitative analysis of baseline images to identify factors influencing patient outcomes, with the aim of incorporating these tools as support systems.

Efecto de la inactivación de las órdenes múltiples para solicitud de estudios complementarios en una central de emergencias.

Introducción. La plantilla de órdenes múltiples es una herramienta informática que podría producir consecuencias inadvertidas pese a sus innumerables beneficios. Nos propusimos explorar el efecto de su inactivación sobre las solicitudes de estudios complementarios y los costos asociados. Métodos. Corte transversal en la Central de Emergencias de Adultos del Hospital Italiano de Buenos Aires, que incluyó muestra consecutiva de consultas pre-intervención (Enero-Febrero 2020) y post-intervención (2021). Mediante el uso de bases secundarias, las variables incluidas fueron los débitos administrativos y sus respectivos precios de facturación. Resultados. Hubo 27.671 consultas en 2020 con una mediana de valor total de 474$, y 20.819 con 1.639$ en 2021. Tras el análisis restringido al área de consultorios de moderada complejidad (excluyendo consultas por COVID-19), se encontró: una disminución en la mediana del número de prácticas por consulta (mediana de 11 vs 10, p=0,001), una disminución en la solicitud de al menos una práctica de laboratorio (45% versus 39%, p=0,001), sin encontrar cambios significativos en costos globales (mediana 1.419$ vs 1.081$; p=0,122) ni en costos específicos de laboratorio (mediana 1.071$ vs 1.089$, p=0,710). Conclusión. Pese a la inflación interanual, se logró una reducción significativa en el número de prácticas y se mantuvieron los costos globales por consulta. Estos hallazgos demuestran la efectividad de la intervención, pero serán necesarias medidas educativas que apunten al recordatorio de los potenciales daños en la sobreutilización, y los costos sanitarios de los estudios innecesarios.

Implication of myddosome complex genetic variants in outcome severity of COVID-19 patients.

BACKGROUND/PURPOSE(S): During a viral infection, the immune response is mediated by the toll-like receptors and myeloid differentiation Factor 88 (MyD88) that play an important role sensing infections such as SARS-CoV-2 which has claimed the lives of more than 6.8 million people around the world. METHODS: We carried out a cross-sectional with a population of 618 SARS-CoV-2-positive unvaccinated subjects and further classified based on severity: 22% were mild, 34% were severe, 26% were critical, and 18% were deceased. Toll Like Receptor 7 (TLR7) single-nucleotide polymorphisms (rs3853839, rs179008, rs179009, and rs2302267) and MyD88 (rs7744) were genotyped using TaqMan OpenArray. The association of polymorphisms with disease outcomes was performed by logistic regression analysis adjusted by covariates. RESULTS: A significant association of rs3853839 and rs7744 of the TLR7 and MyD88 genes, respectively, was found with COVID-19 severity. The G/G genotype of the rs3853839 TLR7 was associated with the critical outcome showing an Odd Ratio = 1.98 (95% IC = 1.04-3.77). The results highlighted an association of the G allele of MyD88 gene with severe, critical and deceased outcomes. Furthermore, in the dominant model (AG + GG vs. AA), we observed an Odd Ratio = 1.70 (95% CI = 1.02-2.86) with severe, Odd Ratio = 1.82 (95% CI = 1.04-3.21) with critical, and Odd Ratio = 2.44 (95% CI = 1.21-4.9) with deceased outcomes. CONCLUSION: To our knowledge this work represents an innovative report that highlights the significant association of TLR7 and MyD88 gene polymorphisms with COVID-19 outcomes and the possible implication of the MyD88 variant with D-dimer and IFN-α concentrations.

Edible and medicinal mushrooms (Pleurotus ostreatus, Ustilago maydis, Ganoderma lucidum) reduce endoplasmic reticulum stress and inflammation in adipose tissue of obese Wistar rats fed with a high fat plus saccharose diet.

Obesity is an increasing global public health problem. A strategy to treat obesity is the use of functional foods. Edible and medicinal mushrooms contain diverse bioactive compounds showing important antihyperlipidemic, antioxidant, and prebiotic properties. We analysed the effects of adding (10%) of Pleurotus ostreatus (Po, basidiomata), Ganoderma lucidum (Gl, basidiomata), or Ustilago maydis (Um, galls), milled, to a high fat plus saccharose diet (HFD + S) for 6 months in a model of obesity with Wistar rats. We assessed weight gain, body composition, lipid parameters, endoplasmic reticulum stress (proteins and inflammatory markers: BiP, XBP-1, JNK, p-JNK, TNF-α), and adiponectin in subcutaneous adipose tissue (SAT). The consumption of edible and medicinal mushrooms decreased weight gain (-17.2-30.1%) and fat mass (-23.7-43.1%), maintained fat-free mass, reduced levels of serum biochemical parameters (TC: -40.1-44.1%, TG: -37.7-51.6%, LDL-C: -64.5-71.1%), and prevented adipocyte hypertrophy (-30.9-36.9%) and collagen deposition (-70.9-73.7%) in SAT. Compared with the HFD + S group, mushroom consumption by Wistar rats significantly reduced the expression of proteins associated with endoplasmic reticulum stress and inflammation (BiP: -72.2-88.2%; XBP-1: -71.5-81.8%; JNK: -71.2-90.0%; p-JNK: -37.3-81.0%; TNF-α: -80.7-91.5%), whereas significantly increased adiponectin protein expression (246.4-654.2%) in SAT. These effects outperformed those obtained through the commercial lipid-lowering drug atorvastatin, contributing synergistically to prevent further obesity-related dysfunctions, such as insulin resistance derived from inflammation and ER stress in adipose tissue. Bioactive compounds from edible, functional and medicinal mushrooms represent new emerging therapies for obesity treatments using natural products.

Effect of computerized physician order entry inactivation to order complementary studies in an emergency department / [Efecto de la inactivación de las órdenes múltiples para solicitud de estudios complementarios en una central de emergencias.]

Introduction: The computerized provider order entry (CPOE) is a computing tool that could lead to unintended consequences despite its myriad benefits. We aimed to explore the effect of its inactivation on requests for complementary studies and the associated costs. Methods: Cross sectional study at the Emergency Department of Hospital Italiano de Buenos Aires, which included a consecutive sample of pre-intervention (January-February 2020) and post-intervention (2021) consultations. Using secondary bases, the variables included were administrative debits and their respective billing prices. Results: There were 27,671 consultations in 2020 with a total median value of $474, and 20,819 with $1,639 in 2021. After the analysis restricted to the area of ​​moderately complex clinics (excluding COVID-19 consultations), the following was found: a decrease in the median number of practices per consultation (median of 11 vs. 10, p=0.001), a decrease in the request for at least one laboratory practice (45% vs. 39%, p=0.001), without finding significant changes in global costs (median $1,419 vs. $1,081; p=0.122) or in specific laboratory costs (median $1,071 vs. $1,089, p=0.710). Conclusion: Despite inflation, a significant reduction in the number of practices was achieved and overall costs per consultation were maintained. These findings demonstrate the effectiveness of the intervention, but an educational intervention aimed at reminding the potential harm of overuse and the health costs of unnecessary studies will be necessary.

Introducción: La plantilla de órdenes múltiples es una herramienta informática que podría producir consecuencias inadvertidas pese a sus innumerables beneficios. Nos propusimos explorar el efecto de su inactivación sobre las solicitudes de estudios complementarios y los costos asociados. Métodos: Corte transversal en la Central de Emergencias de Adultos del Hospital Italiano de Buenos Aires, que incluyó muestra consecutiva de consultas pre-intervención (Enero-Febrero 2020) y post-intervención (2021). Mediante el uso de bases secundarias, las variables incluidas fueron los débitos administrativos y sus respectivos precios de facturación. Resultados: Hubo 27.671 consultas en 2020 con una mediana de valor total de 474$, y 20.819 con 1.639$ en 2021. Tras el análisis restringido al área de consultorios de moderada complejidad (excluyendo consultas por COVID-19), se encontró: una disminución en la mediana del número de prácticas por consulta (mediana de 11 vs 10, p=0,001), una disminución en la solicitud de al menos una práctica de laboratorio (45% versus 39%, p=0,001), sin encontrar cambios significativos en costos globales (mediana 1.419$ vs 1.081$; p=0,122) ni en costos específicos de laboratorio (mediana 1.071$ vs 1.089$, p=0,710). Conclusión: Pese a la inflación interanual, se logró una reducción significativa en el número de prácticas y se mantuvieron los costos globales por consulta. Estos hallazgos demuestran la efectividad de la intervención, pero serán necesarias medidas educativas que apunten al recordatorio de los potenciales daños en la sobreutilización, y los costos sanitarios de los estudios innecesarios.

New Molecular and Biological Markers in Cutaneous T Cell Lymphoma: Therapeutic Implications.

PURPOSE OF REVIEW: Cutaneous T cell lymphomas (CTCLs) exhibit a wide variety of clinical features, histologic characteristics, and genetic drivers. We review novel molecular findings that inform our understanding of the pathogenesis of CTCL, with a focus on the tumor microenvironment (TME). RECENT FINDINGS: There is increasing evidence challenging the model of TCM:mycosis fungoides (MF) and TEM:Sézary syndrome (SS) phenotype. Phylogenetic analysis performed using whole-exome sequencing (WES) raises the possibility that MF can arise without a common ancestral T cell clone. The detection of ultraviolet (UV) marker signature 7 mutations in the blood of patients with SS raises questions about the role of UV exposure in CTCL pathogenesis. There is also increasing interest on the role of the TME in CTCL. Existing therapies such as the RXR retinoid bexarotene and the anti-CCR4 monoclonal antibody mogamulizumab may act through the CTCL TME by impacting the CCL22:CCR4 axis, while cancer-associated fibroblasts (CAFs) in the CTCL TME contribute to drug resistance, as well as a Th2 milieu and tumor growth via secretion of pro-tumorigenic cytokines. Staphylococcus aureus (SA) is a frequent cause of morbidity among CTCL patients. SA may positively select for malignant T cells through adaptive downregulation of alpha-toxin surface receptors and promotion of tumor growth via upregulation of the JAK/STAT pathway. Recent molecular advancements have contributed to our understanding of the pathogenesis of CTCL and shed light into the potential mechanisms of existing therapies. Further understanding of the CTCL TME may fuel the discovery of novel therapies for CTCL.

Development and validation of nonattendance predictive models for scheduled adult outpatient appointments in different medical specialties.

INTRODUCTION: Nonattendance is a critical problem that affects health care worldwide. Our aim was to build and validate predictive models of nonattendance in all outpatients appointments, general practitioners, and clinical and surgical specialties. METHODS: A cohort study of adult patients, who had scheduled outpatient appointments for General Practitioners, Clinical and Surgical specialties, was conducted between January 2015 and December 2016, at the Italian Hospital of Buenos Aires. We evaluated potential predictors grouped in baseline patient characteristics, characteristics of the appointment scheduling process, patient history, characteristics of the appointment, and comorbidities. Patients were divided between those who attended their appointments, and those who did not. We generated predictive models for nonattendance for all appointments and the three subgroups. RESULTS: Of 2,526,549 appointments included, 703,449 were missed (27.8%). The predictive model for all appointments contains 30 variables, with an area under the ROC (AUROC) curve of 0.71, calibration-in-the-large (CITL) of 0.046, and calibration slope of 1.03 in the validation cohort. For General Practitioners the model has 28 variables (AUROC of 0.72, CITL of 0.053, and calibration slope of 1.01). For clinical subspecialties, the model has 23 variables (AUROC of 0.71, CITL of 0.039, and calibration slope of 1), and for surgical specialties, the model has 22 variables (AUROC of 0.70, CITL of 0.023, and calibration slope of 1.01). CONCLUSION: We build robust predictive models of nonattendance with adequate precision and calibration for each of the subgroups.

[Telemedicine: validation of a questionnaire to evaluate the experience of health professionalsTelemedicina: validação de um questionário para avaliar a experiência dos profissionais de saúde]. / Telemedicina: validación de un cuestionario para evaluar la experiencia de los profesionales de la salud.

Objective: This objective of this work is to develop and validate a questionnaire to evaluate health professionals' experience with telemedicine systems. Methods: Based on an abbreviated, locally validated Spanish-language version of the patient questionnaire developed by Parmanto et al., a group of experts developed a version to evaluate the experience of health professionals who provide telemedicine services. The psychometric behavior of the items was tested in an initial sample of 129 professionals, using exploratory factor analysis. The comprehensibility of the items was then assessed through cognitive interviews. Finally, in a new sample of 329 professionals, the construct validity of the questionnaire was evaluated by means of confirmatory factor analysis (CFA); its criteria of external validity were assessed by comparing the score with that of a summary question. Results: A 12-item questionnaire was obtained, with a two-factor structure and acceptable adjustment indicators documented through CFA. Reliability, convergent validity, and discriminant validity were appropriate. The criteria of external validity showed optimal results. Conclusions: The instrument obtained has adequate psychometric properties and will contribute to the objective evaluation of the experience of health professionals who perform telemedicine.

Objetivo: Desenvolver e validar um questionário para avaliar a experiência dos profissionais de saúde com os sistemas de telemedicina. Métodos: Com base na versão abreviada em espanhol ­ e validada localmente ­ do questionário para pacientes desenvolvido por Parmanto et al., um grupo de especialistas gerou uma versão de consenso para avaliar a experiência de profissionais de saúde que prestam serviços de telemedicina. O comportamento psicométrico dos itens foi testado em uma primeira amostra de 129 profissionais, por meio de análise fatorial exploratória. Em seguida, sua compreensibilidade foi avaliada por meio de entrevistas cognitivas. Por fim, em uma nova amostra de 329 profissionais, avaliou-se a validade de construto do questionário por meio de uma análise fatorial confirmatória (AFC), e sua validade de critério externo, mediante a avaliação de sua pontuação com a de uma pergunta resumo. Resultados: Obteve-se um questionário de 12 itens com estrutura de dois fatores, com indicadores de ajuste aceitáveis, documentados pela AFC. A confiabilidade, a validade convergente e a validade discriminante foram adequadas. A validade de critério externo apresentou ótimos resultados. Conclusões: O instrumento obtido possui propriedades psicométricas adequadas e contribuirá para a avaliação objetiva da experiência dos profissionais que realizam telemedicina.