ChatGPT: opportunities and risks in the fields of medical care, teaching, and research.

ChatGPT is a virtual assistant with artificial intelligence (AI) that uses natural language to communicate, i.e., it holds conversations as those that would take place with another human being. It can be applied at all educational levels, including medical education, where it can impact medical training, research, the writing of scientific articles, clinical care, and personalized medicine. It can modify interactions between physicians and patients and thus improve the standards of healthcare quality and safety, for example, by suggesting preventive measures in a patient that sometimes are not considered by the physician for multiple reasons. ChatGPT potential uses in medical education, as a tool to support the writing of scientific articles, as a medical care assistant for patients and doctors for a more personalized medical approach, are some of the applications discussed in this article. Ethical aspects, originality, inappropriate or incorrect content, incorrect citations, cybersecurity, hallucinations, and plagiarism are some examples of situations to be considered when using AI-based tools in medicine.

ChatGPT es un asistente virtual con inteligencia artificial que utiliza lenguaje natural para comunicarse, es decir, mantiene conversaciones como las que se tendrían con otro humano. Puede aplicarse en educación a todos los niveles, que incluye la educación médica, en donde puede impactar en la formación, la investigación, la escritura de artículos científicos, la atención clínica y la medicina personalizada. Puede modificar la interacción entre médicos y pacientes para mejorar los estándares de calidad de la atención médica y la seguridad, por ejemplo, al sugerir medidas preventivas en un paciente que en ocasiones no son consideradas por el médico por múltiples causas. Los usos potenciales del ChatGPT en la educación médica, como una herramienta de ayuda en la redacción de artículos científicos, un asistente en la atención para pacientes y médicos para una práctica más personalizada, son algunas de las aplicaciones que se analizan en este artículo. Los aspectos éticos, originalidad, contenido inapropiado o incorrecto, citas incorrectas, ciberseguridad, alucinaciones y plagio son ejemplos de las situaciones a tomar en cuenta al usar las herramientas basadas en inteligencia artificial en medicina.

ChatGPT: oportunidades y riesgos en la asistencia, docencia e investigación médica / ChatGPT: opportunities and risks in the fields of medical care, teaching, and research

Resumen ChatGPT es un asistente virtual con inteligencia artificial que utiliza lenguaje natural para comunicarse, es decir, mantiene conversaciones como las que se tendrían con otro humano. Puede aplicarse en educación a todos los niveles, que incluye la educación médica, tanto para la formación, la investigación, la escritura de artículos científicos, la atención clínica y la medicina personalizada. Puede modificar la interacción entre médicos y pacientes para mejorar los estándares de calidad de la atención médica y la seguridad, por ejemplo, al sugerir medidas preventivas en un paciente que en ocasiones no son consideradas por el médico por múltiples causas. Los usos potenciales del ChatGPT en la educación médica, como una herramienta de ayuda en la redacción de artículos científicos, un asistente en la atención para pacientes y médicos para una práctica más personalizada, son algunas de las aplicaciones que se analizan en este artículo. Los aspectos éticos, originalidad, contenido inapropiado o incorrecto, citas incorrectas, ciberseguridad, alucinaciones y plagio son ejemplos de las situaciones a tomar en cuenta al usar las herramientas basadas en inteligencia artificial en medicina.

Abstract ChatGPT is a virtual assistant with artificial intelligence (AI) that uses natural language to communicate, i.e., it holds conversations as those that would take place with another human being. It can be applied at all educational levels, including medical education, where it can impact medical training, research, the writing of scientific articles, clinical care, and personalized medicine. It can modify interactions between physicians and patients and thus improve the standards of healthcare quality and safety, for example, by suggesting preventive measures in a patient that sometimes are not considered by the physician for multiple reasons. ChatGPT potential uses in medical education, as a tool to support the writing of scientific articles, as a medical care assistant for patients and doctors for a more personalized medical approach, are some of the applications discussed in this article. Ethical aspects, originality, inappropriate or incorrect content, incorrect citations, cybersecurity, hallucinations, and plagiarism are some examples of situations to be considered when using AI-based tools in medicine.

Medicine and the metaverse: current applications and future.

Innovative technologies such as the metaverse and chat GPT-4 (based on artificial intelligence) are present in the daily discourse of society; recently, they have been introduced into medical practice and are bringing about important changes. In the case of the metaverse ("beyond the universe"), various medical schools and departments around the world are beginning to use it as an innovative strategy for teaching subjects such as anatomy, histology, ophthalmology, and simulation in parallel (virtual) worlds for learning and supervision of surgeries, as well as for other applications in medical education and in the doctor-patient relationship. Although it should be regarded as an area of opportunity for the transformation of medicine, it is important to consider the various limitations and risks of the metaverse in medical practice, student training, and physicians' relationship with the health problems they have to deal with in their practice.

Las innovadoras tecnologías del metaverso y el chat GPT4 (basado en inteligencia artificial) están presentes en el discurso cotidiano de la sociedad; recientemente se han introducido en la práctica médica y están provocando importantes cambios. En cuanto al metaverso ("después del universo"), diversas escuelas y facultades de medicina del mundo comienzan a utilizarlo como una estrategia innovadora dirigida a la enseñanza de materias como anatomía, histología, oftalmología y simulación en mundos paralelos (virtuales) para el aprendizaje y supervisión de cirugías, así como para otras aplicaciones en educación médica y en la relación médico-paciente. Si bien debe tomarse en cuenta como un área de oportunidad para la transformación de la medicina, es importante considerar las diversas limitaciones y riesgos del metaverso en la práctica médica, la formación de estudiantes y la relación del médico con los problemas de salud a los que se enfrenta en su práctica.

La medicina y el metaverso: aplicaciones actuales y futuro / Medicine and the metaverse: current applications and future

Resumen Las innovadoras tecnologías del metaverso y el chat GPT4 (basado en inteligencia artificial) están presentes en el discurso cotidiano de la sociedad; recientemente se han introducido en la práctica médica y están provocando importantes cambios. En cuanto al metaverso ("después del universo"), diversas escuelas y facultades de medicina del mundo comienzan a utilizarlo como una estrategia innovadora dirigida a la enseñanza de materias como anatomía, histología, oftalmología y simulación en mundos paralelos (virtuales) para el aprendizaje y supervisión de cirugías, así como para otras aplicaciones en educación médica y en la relación médico-paciente. Si bien debe tomarse en cuenta como un área de oportunidad para la transformación de la medicina, es importante considerar las diversas limitaciones y riesgos del metaverso en la práctica médica, la formación de estudiantes y la relación del médico con los problemas de salud a los que se enfrenta en su práctica.

Abstract Innovative technologies such as the metaverse and chat GPT-4 (based on artificial intelligence) are present in the daily discourse of society; recently, they have been introduced into medical practice and are bringing about important changes. In the case of the metaverse ("beyond the universe"), various medical schools and departments around the world are beginning to use it as an innovative strategy for teaching subjects such as anatomy, histology, ophthalmology, and simulation in parallel (virtual) worlds for learning and supervision of surgeries, as well as for other applications in medical education and in the doctor-patient relationship. Although it should be regarded as an area of opportunity for the transformation of medicine, it is important to consider the various limitations and risks of the metaverse in medical practice, student training, and physicians' relationship with the health problems they have to deal with in their practice.

Health sciences undergraduate students academic track records.

BACKGROUND: Academic track record analysis is essential for evaluating the training of students and the structure of higher education study programs, which allows diagnosing and preventing educational lag and school dropout. OBJECTIVE: To analyze the differences in academic track records of UNAM health sciences undergraduate students from generations 2001 to 2016. MATERIAL AND METHODS: Study of real cohorts; graduation and lag rates were calculated. ANOVA was used to contrast the graduation rates between campuses by undergraduate program and time. To identify critical periods, survival functions were used with Kaplan-Meier's method. RESULTS: The lowest percentages of lag were observed in nursing and medicine students; nursing students had the highest graduation rates, especially at Zaragoza campus; dentistry students had the lowest graduation rates and the highest dropout and lag rates. Women showed higher graduation rates and lower risk of dropout and lag. CONCLUSIONS: Nursing, medicine and psychology undergraduate students at Zaragoza and Iztacala campuses, with modular programs, achieved the highest graduation percentages and the lowest dropout and lag rates.

ANTECEDENTES: El análisis de las trayectorias académicas es fundamental para evaluar la formación de los estudiantes y la estructura de los programas de estudio de educación superior, lo que permite diagnosticar y prevenir el rezago y abandono escolar. OBJETIVO: Analizar las diferencias en las trayectorias académicas de los estudiantes de las licenciaturas en ciencias de la salud de la UNAM de las generaciones 2001 a 2016. MATERIAL Y MÉTODOS: Estudio de cohortes reales; se calcularon tasas de egreso y rezago. Se realizó ANOVA para contrastar el egreso entre planteles por carrera y tiempo. Para identificar los períodos críticos se utilizaron funciones de supervivencia con el método de Kaplan-Meier. RESULTADOS: En las licenciaturas en enfermería y medicina se observaron los menores porcentajes de rezago; enfermería presentó los mayores porcentajes de egreso, sobre todo en la Facultad de Estudios Superiores Zaragoza; odontología mostró los menores índices de egreso y mayores índices de abandono y rezago. Las mujeres mostraron mayor egreso y menor riesgo de abandono y rezago. CONCLUSIONES: Los estudiantes de las licenciaturas en enfermería, medicina y psicología de las facultades de estudios superiores Zaragoza e Iztacala, con programas modulares, alcanzaron los mayores porcentajes de egreso y menores índices de abandono y rezago.

Trayectorias académicas de los estudiantes de licenciaturas de ciencias de la salud / Health sciences undergraduate students academic track records

Resumen Antecedentes: El análisis de las trayectorias académicas es fundamental para evaluar la formación de los estudiantes y la estructura de los programas de estudio de educación superior, lo que permite diagnosticar y prevenir el rezago y abandono escolar. Objetivo: Analizar las diferencias en las trayectorias académicas de los estudiantes de las licenciaturas en ciencias de la salud de la UNAM de las generaciones 2001 a 2016. Material y métodos: Estudio de cohortes reales; se calcularon tasas de egreso y rezago. Se realizó ANOVA para contrastar el egreso entre planteles por carrera y tiempo. Para identificar los períodos críticos se utilizaron funciones de supervivencia con el método de Kaplan-Meier. Resultados: En las licenciaturas en enfermería y medicina se observaron los menores porcentajes de rezago; enfermería presentó los mayores porcentajes de egreso, sobre todo en la Facultad de Estudios Superiores Zaragoza; odontología mostró los menores índices de egreso y mayores índices de abandono y rezago. Las mujeres mostraron mayor egreso y menor riesgo de abandono y rezago. Conclusiones: Los estudiantes de las licenciaturas en enfermería, medicina y psicología de las facultades de estudios superiores Zaragoza e Iztacala, con programas modulares, alcanzaron los mayores porcentajes de egreso y menores índices de abandono y rezago.

Abstract Background: Academic track record analysis is essential for evaluating the training of students and the structure of higher education study programs, which allows diagnosing and preventing educational lag and school dropout. Objective: To analyze the differences in academic track records of UNAM health sciences undergraduate students from generations 2001 to 2016. Material and methods: Study of real cohorts; graduation and lag rates were calculated. ANOVA was used to contrast the graduation rates between campuses by undergraduate program and time. To identify critical periods, survival functions were used with Kaplan-Meier’s method. Results: The lowest percentages of lag were observed in nursing and medicine students; nursing students had the highest graduation rates, especially at Zaragoza campus; dentistry students had the lowest graduation rates and the highest dropout and lag rates. Women showed higher graduation rates and lower risk of dropout and lag. Conclusions: Nursing, medicine and psychology undergraduate students at Zaragoza and Iztacala campuses, with modular programs, achieved the highest graduation percentages and the lowest dropout and lag rates.

Antibiotic prescription errors: the relationship with clinical competence in junior medical residents.

BACKGROUND: A large portion of prescribing errors can be attributed to deficiencies in medication knowledge. These errors are preventable and most often occur at the time of prescription. Antimicrobials are the drug class most common incorrectly prescribed. OBJECTIVE: To characterize the relationship between clinical competence and antibiotic prescription errors. We also investigated the frequency and severity of antibiotic prescription errors to identify items and attributes of clinical competence which are correlated with the antibiotic prescription error ratio. METHOD: A cross-sectional study was applied to assess clinical competence of junior medical residents in two reference academic hospitals and a regional hospital in Mexico City. It was conducted during February 2019. We used an infectious disease Objective Structured Clinical Examination (OSCE) to assess clinical competence and a measure of frequency, and severity of antibiotic prescription errors. RESULTS: The number of eligible participants was ~ 255 (hospital meeting attendance), and the number of residents in this study were 51 (~ 20%), 31 were female (60.8%). The mean OSCE score was 0.692 ± 0.073. The inter-item (Cronbach's alpha = 0.927) and inter-station internal consistency was adequate (Cronbach's alpha = 0.774). The G coefficient in generalizability theory analysis was 0.84. The antibiotic prescription error ratio was 45.1% ± 7%. The most frequent category of severity of antibiotic prescription errors was category E (errors that may contribute to or result in temporary harm to the patient and require intervention), 235 (65.2%). We observed a negative and significant correlation between clinical competence and antibiotic prescription errors (r = -0.33, p < 0.05, CI95% -0.57 to -0.07), which remained significant after controlling for the effect of gender and time since graduation from medical school (r = -0.39, p < 0.01, CI95% -0.625 to -0.118). Using exploratory factor analysis we identified two factors, which explained 69% of the variance in clinical competence, factor 1 evaluated socio-clinical skills and factor 2 evaluated diagnostic-therapeutic skills. Factor 2 was correlated with antibiotic prescription error ratio (r = -0.536, p < 0.001). CONCLUSIONS: We observed a negative correlation between clinical competence and antibiotic prescription error ratio in graduated physicians who have been accepted in a medical specialty. The therapeutic plan, which is a component of the clinical competence score, and the prescription skills had a negative correlation with antibiotic prescription errors. The most frequent errors in antibiotic prescriptions would require a second intervention.

Analysis of physical learning spaces in a university hospital: A case study.

BACKGROUND: Attributes of physical learning spaces can facilitate or hinder learning. There are few studies about this topic in hospitals. The objective of this study was to explore the characteristics of physical learning spaces in a university hospital. METHODS: The setting was a large research-oriented public university hospital in Mexico City, affiliated with the National Autonomous University of Mexico. An intrinsic case study design was conducted with two instruments: a questionnaire to identify physical learning spaces and their attributes; the Learning Space Rating System (LSRS), an instrument used to evaluate spaces' characteristics that promote effective learning. RESULTS: 49 medical students and 60 internal medicine residents responded to the questionnaire. The attributes with the highest importance for students were: instructor physical availability, silence, comfort of the seating furniture, and Internet access. The study authors directly performed an evaluation of the learning spaces using the LSRS tool, the sections' scores were: clinical ward discussion room (74%), external consultation unit (71%), auditorium (70%), classroom (68%), library (66%), and the hospitalization room (61%). CONCLUSIONS: Physical learning spaces in medical training can be formally assessed to identify the attributes that students consider relevant for learning and provide needed information for redesign and reuse of spaces. Medical education scholars and trainees should be involved in the design and evaluation of university and hospital buildings.

Specialty choice determinants among Mexican medical students: a cross-sectional study.

BACKGROUND: The choice of medical specialty is related to multiple factors, students' values, and specialty perceptions. Research in this area is needed in low- and middle-income countries, where the alignment of specialty training with national healthcare needs has a complex local interdependency. The study aimed to identify factors that influence specialty choice among medical students. METHODS: Senior students at the National Autonomous University of Mexico (UNAM) Faculty of Medicine answered a questionnaire covering demographics, personal experiences, vocational features, and other factors related to specialty choice. Chi-square tests and factor analyses were performed. RESULTS: The questionnaire was applied to 714 fifth-year students, and 697 provided complete responses (response rate 81%). The instrument Cronbach's alpha was 0.8. The mean age was 24 ± 1 years; 65% were women. Eighty percent of the students wanted to specialize, and 60% had participated in congresses related to the specialty of interest. Only 5% wanted to remain as general practitioners. The majority (80%) wanted to enter a core specialty: internal medicine (29%), general surgery (24%), pediatrics (11%), gynecology and obstetrics (11%) and family medicine (4%). The relevant variables for specialty choice were grouped in three dimensions: personal values that develop and change during undergraduate training, career needs to be satisfied, and perception of specialty characteristics. CONCLUSIONS: Specialty choice of medical students in a middle-income country public university is influenced by the undergraduate experience, the desire to study a subspecialty and other factors (including having skills related to the specialty and type of patients).

Factores relacionados con la elección de una especialidad en médicos residentes mexicanos.

OBJECTIVE: This study explored choice factors in four specialties in Mexico. METHOD: Mixed methods design. Qualitative phase: four focus groups with first-year residents, to obtain information of how specialty choice was done. With this information a web-based cross-sectional questionnaire was applied to residents registered in the 1st year of Postgraduate Studies Division, UNAM. RESULTS: 32 residents participated in qualitative phase and for the quantitative phase, the survey was answered by 35 surgical, 28 gynecology, 61 internal medicine and 62 pediatric residents. The specialty choice decision was done during the last years of the medical career. The majority of the resident choice was a subspecialty after the general residency. The type of patient was more crucial to choose pediatrics while a good academic program was for internal medicine. Negative models and bullying were decisive to rule out surgery as well as a not well-known hospital was to rule out pediatrics. CONCLUSION: The specialty choice is done during undergraduate training, with the intention of doing a subspecialty. Demographic and personality traits were identified.

Familial hypobetalipoproteinemia in a hospital survey: genetics, metabolism and non-alcoholic fatty liver disease.

INTRODUCTION: Familial hypobetalipoproteinemia (FHBL) is an autosomal dominant disease characterized by abnormally low levels of apolipoprotein-B (apoB) containing lipoproteins. FHBL is caused by APOB, PCSK9 or ANGPTL3 mutations or is associated with loci located in chromosomes 10 and 3p21. However, other genes should be involved. This study describes the kinetic parameters of the apoB containing lipoproteins and sequence abnormalities of the APOB and PCSK9 genes of FHBL patients identified in a large hospital based survey. MATERIAL AND METHODS: Cases with primary or secondary causes of hypobetalipoproteinemia were identified. ApoB kinetics were measured in cases with primary forms in whom truncated forms of apoB were not present in VLDL (n = 4). A primed constant infusion of [(13)C] leucine was administered, VLDL and LDL apoB production and catabolic rates measured by a multicompartmental model and compared to normolipemic controls. In addition, these subjects had an abdominal ultrasound and direct sequencing was carried out for the PCSK9 and apoB genes. RESULTS: Three individuals had normal apoB production with increased catabolic rate; the remaining had reduced synthetic and catabolic rates. Various polymorphisms, some of them previously unreported (*), in the PCSK9 gene (R46L, A53V, I474V, D480N*, E498K*) and in the apoB gene (N441D*, Y1395C, P2712L, D2285E*, I2286V, T3540S*, T3799M*) were found in the FHBL patients. We found hepatic ultrasound changes of hepatic steatosis in only one of the four probands. CONCLUSION: FHBL without truncated apoB is a heterogeneous disease from a metabolic and a genetic perspective. Hypobetalipoproteinemia is a risk factor but not an obligate cause of steatosis.