Concordance of data collected by an app for medical history taking and in-person interviews from patients in primary care.

Objective: This study investigates the concordance of patient information collected using a medical history app compared to in-person interviews. Materials and Methods: In this cross-sectional study we used an app to collect medical data from patients in family practice in Germany. Collected information included age, height, weight, perceived severity of complaints, and 38 current complaints. Subsequently, in-person interviews based on the query structure of the app were conducted with patients directly after the patient finished filling out the app. Concordance was assessed as exact matches between the data collected app-based and in-person interviews, with the in-person interview as a reference. Regression analysis examined which patient characteristics were associated with mismatching and underreporting of complaints. Results: Three hundred ninety-nine patients were included in the study. Concordance of reported age, weight, and height, as well as perceived severity of complaints ranged from 76.2% to 96.7%. Across all 38 complaints, 64.4% of participants showed completely identical complaint selection in app-based and in-person interviews; 18.5% of all participants overreported; and 17.0% underreported at least 1 complaint when using the app. Male sex, higher age, and higher number of stated complaints were associated with higher odds of underreporting at least one complaint in the app. Discussion: App-collected data regarding age, weight, height, and perceived severity of complaints showed high concordance. The discordance shown concerning various complaints should be examined regarding their potential for medical errors. Conclusion: The introduction of apps for gathering information on complaints can improve the efficiency and quality of care but must first be improved. Trial registration: The study was registered at the German Clinical Trials Register No. DRKS00026659 registered November 3, 2021. World Health Organization Trial Registration Data Set, https://trialsearch.who.int/Trial2.aspx?TrialID=DRKS00026659.

In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient records.

Objective: This study aimed to investigate the predictive capabilities of historical patient records to predict patient adverse outcomes such as mortality, readmission, and prolonged length of stay (PLOS). Methods: Leveraging a de-identified dataset from a tertiary care university hospital, we developed an eXplainable Artificial Intelligence (XAI) framework combining tree-based and traditional machine learning (ML) models with interpretations and statistical analysis of predictors of mortality, readmission, and PLOS. Results: Our framework demonstrated exceptional predictive performance with a notable area under the receiver operating characteristic (AUROC) of 0.9625 and an area under the precision-recall curve (AUPRC) of 0.8575 for 30-day mortality at discharge and an AUROC of 0.9545 and AUPRC of 0.8419 at admission. For the readmission and PLOS risk, the highest AUROC achieved were 0.8198 and 0.9797, respectively. The tree-based models consistently outperformed the traditional ML models in all 4 prediction tasks. The key predictors were age, derived temporal features, routine laboratory tests, and diagnostic and procedural codes. Conclusion: The study underscores the potential of leveraging medical history for enhanced hospital predictive analytics. We present an accurate and intuitive framework for early warning models that can be easily implemented in the current and developing digital health platforms to predict adverse outcomes accurately.

Long-Term Impact of a Medical School Course on the Intersection of Art and Medical History.

Background: One recent trend in medical education is the integration of humanities into the curriculum, including viewing works of art in museums, with analysis of short-term, but not long-term, impact. We developed a course for medical students, trainees, and faculty at the Icahn School of Medicine at Mount Sinai co-taught by an art historian and a physician/medical historian that features images of great works of art to make connections between art and medical history with the following goals: 1. To encourage the students to make careful and systematic observations, describe what they see to others in the group, and exchange their views respectfully, 2. To sensitize students to the patient's experience of illness by discussing artists' depictions of patients and the impact of their illness on family and friends, and 3. To highlight milestones in medical history by focusing on artworks that epitomize the state of medical care and science at a defined point in time. We have taught the course for more than a decade and so wanted to assess whether participating in the course had a long-term impact. Methods: We created and deployed a five-question survey to 167 students and received responses from 35 of those students. Results: 97% of respondents answered that they still think about the course, and large majorities of the respondents indicated that the course, had an impact on how they viewed works of art (91%), their appreciation of the history of medicine (89%), and their observational skills (80%). More than half the students responded that the course sensitized them to the patient's perspective of illness (63%) and had an impact on how they viewed their role as a physician (51%). Conclusions: Our course has had a long-term impact on the respondents across a wide range of professional and personal characteristics.

Dr. Fe Del Mundo: The Pioneer Who Transformed Pediatrics and Child Healthcare in the Philippines.

Dr. Fe del Mundo was a female Filipino pediatrician, humanitarian, and advocate of Filipino children, dedicating her life to seven decades of service. Her programs on maternal and child health, preventive medicine, nutrition, vaccination, and family planning transformed the healthcare landscape in the Philippines. Overcoming adversity, she pursued a road less traveled for women of her time. After training in the United States of America, she returned to the Philippines to take care of sick children during the Second World War and later opened the first pediatric hospital in the country. Her research, inventions, and health programs set the groundwork for the improvement of pediatric and childhood outcomes in the country and the world. She is a woman of many firsts, being a beacon for generations of physicians and women. Her legacy endures through the programs she started, the lives she has saved, the doctors she trained, and the institutions she has founded for the welfare of the children she dearly cared for.

The Legacy of Hermann Rorschach and His Inkblots: Portrait of a Man or Mental Disease?

Hermann Rorschach was a Swiss psychiatrist and psychoanalyst who experimented with inkblots for the purpose of diagnosing mental illness and personality temperaments. This paper highlights the legacy of Rorschach through discussion of the events that led to the inkblots' creation during Rorschach's life and after his death. The foundational elements of the inkblots were conceived in Rorschach's 1911 dissertation regarding reflex hallucinations, a form of synesthesia, that ultimately served as Rorschach's experimental focus and development of his iconic inkblots. After Rorschach's death in 1922, the inkblots were disseminated in America by Samuel Beck and Bruno Klopfer during the 1930s and 1940s while expanding on intelligence and personality metrics. Further research regarding the concept of a "group Rorschach'' was expanded by Molly Harrower and ultimately applied by Douglas Kelly and Gustav Gilbert to the Nazi Defendants at Nuremberg with the aim of conceptualizing the "Nazi personality." However, due to interpreter bias and conflicting interpretation, the results surrounding the Nazi Rorschachs remain controversial. Further controversy ensued after John Exner's attempt to standardize the Rorschach methodology while introducing new diagnostic metrics. Today, the Rorschach inkblots are criticized for their lack of validity and clinical relevance.

Person-based design and evaluation of MIA, a digital medical interview assistant for radiology.

Introduction: Radiologists frequently lack direct patient contact due to time constraints. Digital medical interview assistants aim to facilitate the collection of health information. In this paper, we propose leveraging conversational agents to realize a medical interview assistant to facilitate medical history taking, while at the same time offering patients the opportunity to ask questions on the examination. Methods: MIA, the digital medical interview assistant, was developed using a person-based design approach, involving patient opinions and expert knowledge during the design and development with a specific use case in collecting information before a mammography examination. MIA consists of two modules: the interview module and the question answering module (Q&A). To ensure interoperability with clinical information systems, we use HL7 FHIR to store and exchange the results collected by MIA during the patient interaction. The system was evaluated according to an existing evaluation framework that covers a broad range of aspects related to the technical quality of a conversational agent including usability, but also accessibility and security. Results: Thirty-six patients recruited from two Swiss hospitals (Lindenhof group and Inselspital, Bern) and two patient organizations conducted the usability test. MIA was favorably received by the participants, who particularly noted the clarity of communication. However, there is room for improvement in the perceived quality of the conversation, the information provided, and the protection of privacy. The Q&A module achieved a precision of 0.51, a recall of 0.87 and an F-Score of 0.64 based on 114 questions asked by the participants. Security and accessibility also require improvements. Conclusion: The applied person-based process described in this paper can provide best practices for future development of medical interview assistants. The application of a standardized evaluation framework helped in saving time and ensures comparability of results.

Respect for history: an important dimension of contemporary obstetrics & gynecology.

"Those who cannot remember the past are condemned to repeat it." This maxim underscores the importance of historical awareness in medicine, particularly for obstetricians and gynecologists (ObGyns). ObGyns significantly impact societal health through their care for pregnant women, fetuses, and newborns, uniquely positioning them to advocate for health initiatives with lasting societal benefits. Despite its importance, the history of medicine is underrepresented in medical curricula, missing opportunities to foster critical thinking and ethical decision-making. In today's climate of threatened reproductive rights, vaccine misinformation, and harmful ideologies, it is imperative for ObGyns to champion comprehensive historical education. The history of medicine, particularly in relation to societal issues - such as racism, discrimination, genocides, pandemics, and wars - provides valuable context for addressing challenges like maternal mortality, reproductive rights, vaccine hesitancy, and ethical issues. Understanding historical milestones and notable ethical breaches, such as the Tuskegee Study and the thalidomide tragedy, informs better practices and safeguards patient rights. Technological advancements in hygiene, antibiotics, vaccines, and prenatal care have revolutionized the field, yet contemporary ObGyns must remain vigilant about lessons learned from past challenges and successes. Integrating historical knowledge into medical training enhances clinical proficiency and ethical responsibility, fostering innovation and improving health outcomes. By reflecting on historical achievements and their impacts, current and future ObGyns can advance the field, ensuring comprehensive and ethically sound approaches to patient care. This paper highlights the crucial role of historical knowledge in shaping modern ObGyn practices, advocating for its integration into medical education to address contemporary health challenges and ethical considerations.

A review of inflammatory bowel disease from the perspective of Persian medicine.

The initial descriptions of inflammatory bowel disease (IBD) have been a topic of discussion. Cases of persistent diarrhea have been documented as far back as ancient Greece, with even Hippocrates (∼ 460-370 BCE) exploring various potential causes of diarrhea. Persian medicine was the predominant medical practice in the Eurasia region until the 18th century and had roots in Hippocrates and the ancient civilization of the region. Scholars, such as Avicenna (980-1025 CE), extensively described a disease characterized by intestinal ulcers, bloody diarrhea, and abdominal pain in the early medieval period. While some of the definitions and etiologies of IBD in Persian medicine are based on humoral theories that differ from current medical concepts, recent studies have suggested a potential relationship between the traditional Persian medicine understanding of the disease and IBD. Persian medicine classifies patients with specific diseases into different types of disorders known as dystemperament, with the application of these differences referred to as "syndrome differentiation." These traditional classifications require distinct therapeutic approaches. Research has delved into the molecular bases of the humoral theory and the impact of syndrome differentiation on drug selection for patients, including those with IBD. However, further research is needed to explore the potential effectiveness of Persian medicine in treating IBD and to understand how this ancient classification system can contribute to improved disease management.

Jean-Martin Charcot: Pioneer of Neurology.

Jean-Martin Charcot, born on November 29, 1825, in Paris, France, is known as the father of neurology. During a time when neurology was not yet a recognized medical specialty, Charcot's pioneering contributions significantly advanced the field. Charcot's use of the anatomo-clinical method, which correlates clinical symptoms with anatomical findings, led to the discovery and characterization of numerous neurological conditions, including multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), Charcot's joint, and Charcot-Marie-Tooth (CMT) disease. His methodical approach to documenting clinical signs and conducting post-mortem examinations revolutionized neurological research and diagnosis, laying the groundwork for modern neurology. The anatomo-clinical methods continue to be a vital tool in neurological research and practice today. Charcot's work extended beyond clinical practice, influencing the study of neurology through his role as an educator and mentor to many, including Sigmund Freud. Despite some controversies and a reputation for being difficult to work with, Charcot's legacy endures, with his initial discoveries fostering greater awareness and the development of therapies for various neurological disorders.

Exploring the Enigma of Maristans in Muslim-Ruled Kashmir.

Kashmir's oldest Neolithic settlement dates back to 3000 BC. It stood as the centre of Buddhism and Hinduism for centuries, till the arrival of Islam in thirteenth century. Although Muslims ruled Kashmir under different empires for about four centuries and ever since there has always been a significant Muslim populace in Kashmir with or without Muslim rule, yet the literature about the history of health care in Kashmir and particularly the history about Muslim contributions to healthcare is sparingly limited. This paper aims at a) historical contextualization of healthcare in Kashmir, b) finding Muslim rulers` contributions if any to the healthcare system and c) exploring places of healing 'shafa-khanas' in Kashmir. In order to achieve these objectives, the methods used were data collection through locating key historical resources, by searching local libraries and bookshops and searching online academic databases, thereafter, subjecting the collected data to thematic analysis. Three themes emerged during data analysis, which corresponds to the objectives of this paper, these are a) 'Historical context of healthcare in Kashmir', b) 'Muslim contributions to healthcare in Kashmir' and c) 'Places of healing 'Shafa-khanas' in Kashmir'. The analysis shows that healthcare during Muslim rule was integrative, progressive, robust, indigenous, specialized, and efficient/accommodative. We conclude that though 'shafa-khanas' existed in medieval Kashmir, there is however not much literature available.

Development of a clinical investigation protocol for occupational auditory health.

Introduction: Considering that noise is present in different work environments, occupational health regulations have been created that advocate for the care of employees' auditory system in these environments. Occupational hearing assessment should be performed by audiologists through audiological examinations, otoscopy, as well as an interview to assess possible risk factors for the development of hearing loss. However, up to the present moment, a standardized set of updated questions for this interview has not been defined. Objectives: To develop a clinical investigation instrument for occupational auditory health that provides support for clinical decision-making and differential diagnosis. Methods: The study was conducted using Design Thinking as a methodological approach in its stages of inspiration (problem identification), ideation (theoretical foundation and protocol design), and prototyping (protocol construction). Experience report: This study was conducted with the objective of providing support for clinical decision-making and differential diagnosis of the auditory aspects of the assisted population. The Protocolo de Investigação Clínica da Saúde Auditiva Ocupacional was developed, consisting of six main sections that address medical history, lifestyle habits, exposure to non-occupational noise, work history, extra-auditory symptoms, and auditory and vestibular signs and symptoms, aimed at investigating workers' auditory health and related aspects. Conclusions: The developed instrument can be used for data collection and assist audiologists in the occupational health teams in diagnosis and decision-making processes.

Introdução: Considerando que o ruído está presente em diferentes ambientes laborais, foram criadas normas regulamentadoras de saúde ocupacional que preconizam o cuidado com o sistema auditivo dos colaboradores destes ambientes. A avaliação auditiva ocupacional deve ser realizada pelo fonoaudiólogo através dos exames de audiometria e meatoscopia, além de uma entrevista para avaliar possíveis fatores de risco para o desenvolvimento de perdas auditivas. Entretanto, até o presente momento não foi definido um padrão de perguntas atualizado para esta entrevista. Objetivos: Desenvolver um instrumento de investigação clínica da saúde auditiva ocupacional que ofereça suporte para tomadas de decisões clínicas e diagnóstico diferencial. Métodos: O estudo foi desenvolvido utilizando o design thinking como abordagem metodológica em suas etapas de inspiração (observada a problemática), ideação (fundamentação e delineamento teórico do protocolo) e prototipação (construção do protocolo). Relato da experiência: Este estudo foi realizado objetivando oferecer suporte para tomadas de decisões clínicas e diagnóstico diferencial dos aspectos auditivos da população assistida. Foi desenvolvido o Protocolo de Investigação Clínica da Saúde Auditiva Ocupacional, composto de seis seções principais que abordam o histórico clínico, hábitos de vida, exposição a ruído extraocupacional, histórico laboral, sintomas extra-auditivos e sinais e sintomas auditivos e vestibulares, que visam investigar a saúde auditiva do trabalhador e aspectos relacionados a ela. Conclusões: O instrumento desenvolvido poderá servir para a coleta de dados e auxílio para diagnóstico e tomada de decisões dos fonoaudiólogos das equipes de saúde ocupacional.

Evaluation of AI-Driven LabTest Checker for Diagnostic Accuracy and Safety: Prospective Cohort Study.

Background: In recent years, the implementation of artificial intelligence (AI) in health care is progressively transforming medical fields, with the use of clinical decision support systems (CDSSs) as a notable application. Laboratory tests are vital for accurate diagnoses, but their increasing reliance presents challenges. The need for effective strategies for managing laboratory test interpretation is evident from the millions of monthly searches on test results' significance. As the potential role of CDSSs in laboratory diagnostics gains significance, however, more research is needed to explore this area. Objective: The primary objective of our study was to assess the accuracy and safety of LabTest Checker (LTC), a CDSS designed to support medical diagnoses by analyzing both laboratory test results and patients' medical histories. Methods: This cohort study embraced a prospective data collection approach. A total of 101 patients aged ≥18 years, in stable condition, and requiring comprehensive diagnosis were enrolled. A panel of blood laboratory tests was conducted for each participant. Participants used LTC for test result interpretation. The accuracy and safety of the tool were assessed by comparing AI-generated suggestions to experienced doctor (consultant) recommendations, which are considered the gold standard. Results: The system achieved a 74.3% accuracy and 100% sensitivity for emergency safety and 92.3% sensitivity for urgent cases. It potentially reduced unnecessary medical visits by 41.6% (42/101) and achieved an 82.9% accuracy in identifying underlying pathologies. Conclusions: This study underscores the transformative potential of AI-based CDSSs in laboratory diagnostics, contributing to enhanced patient care, efficient health care systems, and improved medical outcomes. LTC's performance evaluation highlights the advancements in AI's role in laboratory medicine.

Medical conditions, symptoms of anxiety, and depression during the COVID-19 pandemic in a population sample of Lima, Peru.

INTRODUCTION: This study aims to determine differences between the number of underlying medical conditions, depression, and anxiety, when controlling for the covariates of age, sex, and completed education. METHODS: Participants (n = 484) indicated the number of medical conditions present during the survey, also including the PHQ-9 and GAD-7, to assess depression and anxiety, respectively. RESULTS: Differences were found between groups of medical conditions and the combined values of PHQ-9 and GAD-7 after controlling for the covariates mentioned above (F4,954 = 5.78; Wilks' Λ = 0.95; P < 0.0005). The univariate tests showed differences for PHQ-9 (F2,478 = 8.70; P < 0.0005) and GAD-7 (F2,478 = 11.16; P < 0.0005) between the 3 groups. Finally, post-hoc analysis showed differences between participants with one medical condition and with no medical condition (PHQ-9: MD = 1.82; 95%CI, 0.25-3.40; GAD-7: MD = 1.73; 95%CI, 0.55-2.91), and between participants with more than one medical condition and participants with no medical condition (PHQ-9: MD = 3.10; 95%CI, 1.11-5.10; GAD-7: MD = 2.46; 95%CI, 0.97-3.95). CONCLUSIONS: Our results suggest that people who had a medical condition during the COVID-19 pandemic were more prone to developing severe symptoms of anxiety and depression.

Elizabeth Bagshaw: Pioneer of Canadian Women's Health.

Dr. Elizabeth Bagshaw, an esteemed figure among Canada's female physicians, devoted over seven decades to advancing obstetrics and reproductive health. She defied conventional norms by pursuing medical education and graduating from the Ontario Medical College for Women in 1905. Throughout her illustrious career, Bagshaw demonstrated exceptional perseverance, navigating familial obligations following her father's untimely passing during her academic pursuits.  Establishing her practice in Hamilton, Ontario, Bagshaw delivered over 3,000 neonates, frequently offering pro bono care to immigrant populations. Notably in 1932, Bagshaw assumed the role of Medical Director of Canada's first birth control clinic, challenging restrictive legislation and paving the way for the legalization of contraception in 1969. Bagshaw's efforts provided women with vital reproductive health services and information, significantly impacting public attitudes and legislation.  Beyond her medical practice, Bagshaw also played a pivotal role in mitigating public health crises, including the Spanish flu, and ventured into politics with a city council campaign in 1934, supported by The Women's Civic Club. Her extensive contributions earned her numerous accolades, including posthumous induction into the Canadian Medical Hall of Fame in 2007.  Bagshaw's enduring legacy is reflected in the Elizabeth Bagshaw Clinic, which continues to offer reproductive and abortion care in a confidential and supportive setting. Bagshaw's pioneering work significantly advances health equity and women's reproductive rights, leaving a lasting impact on healthcare worldwide. Her life and achievements underscore her role as a tireless advocate for women's health and a transformative influence in medical history.

Incremental Value of Multidomain Risk Factors for Dementia Prediction: A Machine Learning Approach.

OBJECTIVE: The current evidence regarding how different predictor domains contributes to predicting incident dementia remains unclear. This study aims to assess the incremental value of five predictor domains when added to a simple dementia risk prediction model (DRPM) for predicting incident dementia in older adults. DESIGN: Population-based, prospective cohort study. SETTING: UK Biobank study. PARTICIPANTS: Individuals aged 60 or older without dementia. MEASUREMENTS: Fifty-five dementia-related predictors were gathered and categorized into clinical and medical history, questionnaire, cognition, polygenetic risk, and neuroimaging domains. Incident dementia (all-cause) and the subtypes, Alzheimer's disease (AD) and vascular dementia (VaD), were determined through hospital and death registries. Ensemble machine learning (ML) DRPMs were employed for prediction. The incremental values of risk predictors were assessed using the percent change in Area Under the Curve (∆AUC%) and the net reclassification index (NRI). RESULTS: The simple DRPM which included age, body mass index, sex, education, diabetes, hyperlipidaemia, hypertension, depression, smoking, and alcohol consumption yielded an AUC of 0.711 (± 0.008 SD). The five predictor domains exhibited varying levels of incremental value over the basic model when predicting all-cause dementia and the two subtypes. Neuroimaging markers provided the highest incremental value in predicting all-cause dementia (∆AUC% +9.6%) and AD (∆AUC% +16.5%) while clinical and medical history data performed the best at predicting VaD (∆AUC% +12.2%). Combining clinical and medical history, and questionnaire data synergistically enhanced ML DRPM performance. CONCLUSION: Combining predictors from different domains generally results in better predictive performance. Selecting predictors involves trade-offs, and while neuroimaging markers can significantly enhance predictive accuracy, they may pose challenges in terms of cost or accessibility.

The Burden of Chronic Diseases with the Status of Family Medical History Among Older Adults in India.

This study aims to assess and compare the prevalence of chronic diseases by the first-degree Family Medical History (FMH) and also explores the relationship between FMH and selected Non-communicable diseases (NCDs) among older adults in India. The present study collated secondary data from the Longitudinal Ageing Study in India (LASI, 2017-18). The eligible respondents for the analysis of this study were aged 45 years and above, where the final study sample consisted of 65,562 older adults across all Indian states and union territories. The LASI dataset collected responses on self-reported diseases: Hypertension, Stroke, Heart disease, Cancer, and Diabetes. These diseases have a high prevalence among the population and are considered in the present study. Along with disease status, respondents' first-degree relatives FMH were used to fulfil the objective. Descriptive statistical analysis and multiple logistic regression techniques were used to accomplish the objectives analysis. This approach was chosen due to the binary nature of our primary dependent variables. The study found that the prevalence of selected NCDs was considerably higher among older adults with FMH than those without FMH. It revealed that NCDs and the status of FMH of parents and siblings were significantly associated. Based on the multivariate-adjusted model, we found significantly higher odds for developing the NCDs when the respondents have FMH among at least one of the first-degree relative. The likelihood among those with FMH of having hypertension (AOR: 2.058), diabetes (AOR: 2.94), heart diseases (AOR: 2.39), stroke (AOR: 1.62) and cancer (AOR: 2.32) was higher compared to no FMH of respective diseases. Similarly, significant associations were observed according to the different stratification of the number of first-degree relatives FMH. The present study demonstrated that first-degree relatives FMH is indeed a dominant associated risk factor for chronic disease among the older adults of India. This study supports the promotion of a disease history tool for chronic disease prevention and early detection approaches as a valuable measure of NCD risk. Public health practitioners can take several steps to access FMH and incorporate FMH into public health programs for the screening of the risk population.

Transforming Health Care Through Chatbots for Medical History-Taking and Future Directions: Comprehensive Systematic Review.

BACKGROUND: The integration of artificial intelligence and chatbot technology in health care has attracted significant attention due to its potential to improve patient care and streamline history-taking. As artificial intelligence-driven conversational agents, chatbots offer the opportunity to revolutionize history-taking, necessitating a comprehensive examination of their impact on medical practice. OBJECTIVE: This systematic review aims to assess the role, effectiveness, usability, and patient acceptance of chatbots in medical history-taking. It also examines potential challenges and future opportunities for integration into clinical practice. METHODS: A systematic search included PubMed, Embase, MEDLINE (via Ovid), CENTRAL, Scopus, and Open Science and covered studies through July 2024. The inclusion and exclusion criteria for the studies reviewed were based on the PICOS (participants, interventions, comparators, outcomes, and study design) framework. The population included individuals using health care chatbots for medical history-taking. Interventions focused on chatbots designed to facilitate medical history-taking. The outcomes of interest were the feasibility, acceptance, and usability of chatbot-based medical history-taking. Studies not reporting on these outcomes were excluded. All study designs except conference papers were eligible for inclusion. Only English-language studies were considered. There were no specific restrictions on study duration. Key search terms included "chatbot*," "conversational agent*," "virtual assistant," "artificial intelligence chatbot," "medical history," and "history-taking." The quality of observational studies was classified using the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) criteria (eg, sample size, design, data collection, and follow-up). The RoB 2 (Risk of Bias) tool assessed areas and the levels of bias in randomized controlled trials (RCTs). RESULTS: The review included 15 observational studies and 3 RCTs and synthesized evidence from different medical fields and populations. Chatbots systematically collect information through targeted queries and data retrieval, improving patient engagement and satisfaction. The results show that chatbots have great potential for history-taking and that the efficiency and accessibility of the health care system can be improved by 24/7 automated data collection. Bias assessments revealed that of the 15 observational studies, 5 (33%) studies were of high quality, 5 (33%) studies were of moderate quality, and 5 (33%) studies were of low quality. Of the RCTs, 2 had a low risk of bias, while 1 had a high risk. CONCLUSIONS: This systematic review provides critical insights into the potential benefits and challenges of using chatbots for medical history-taking. The included studies showed that chatbots can increase patient engagement, streamline data collection, and improve health care decision-making. For effective integration into clinical practice, it is crucial to design user-friendly interfaces, ensure robust data security, and maintain empathetic patient-physician interactions. Future research should focus on refining chatbot algorithms, improving their emotional intelligence, and extending their application to different health care settings to realize their full potential in modern medicine. TRIAL REGISTRATION: PROSPERO CRD42023410312; www.crd.york.ac.uk/prospero.

Healthcare leaders' experiences of implementing artificial intelligence for medical history-taking and triage in Swedish primary care: an interview study.

BACKGROUND: Artificial intelligence (AI) holds significant promise for enhancing the efficiency and safety of medical history-taking and triage within primary care. However, there remains a dearth of knowledge concerning the practical implementation of AI systems for these purposes, particularly in the context of healthcare leadership. This study explores the experiences of healthcare leaders regarding the barriers to implementing an AI application for automating medical history-taking and triage in Swedish primary care, as well as the actions they took to overcome these barriers. Furthermore, the study seeks to provide insights that can inform the development of AI implementation strategies for healthcare. METHODS: We adopted an inductive qualitative approach, conducting semi-structured interviews with 13 healthcare leaders representing seven primary care units across three regions in Sweden. The collected data were subsequently analysed utilizing thematic analysis. Our study adhered to the Consolidated Criteria for Reporting Qualitative Research to ensure transparent and comprehensive reporting. RESULTS: The study identified implementation barriers encountered by healthcare leaders across three domains: (1) healthcare professionals, (2) organization, and (3) technology. The first domain involved professional scepticism and resistance, the second involved adapting traditional units for digital care, and the third inadequacies in AI application functionality and system integration. To navigate around these barriers, the leaders took steps to (1) address inexperience and fear and reduce professional scepticism, (2) align implementation with digital maturity and guide patients towards digital care, and (3) refine and improve the AI application and adapt to the current state of AI application development. CONCLUSION: The study provides valuable empirical insights into the implementation of AI for automating medical history-taking and triage in primary care as experienced by healthcare leaders. It identifies the barriers to this implementation and how healthcare leaders aligned their actions to overcome them. While progress was evident in overcoming professional-related and organizational-related barriers, unresolved technical complexities highlight the importance of AI implementation strategies that consider how leaders handle AI implementation in situ based on practical wisdom and tacit understanding. This underscores the necessity of a holistic approach for the successful implementation of AI in healthcare.

Dr. Newton Shaffer (1846-1928): Renowned Orthopedic Surgeon and Founder of the American Orthopaedic Association.

An unsung hero of American orthopedic surgery is the largely forgotten Dr. Newton Melman Shaffer (1846-1928). Upon graduating from medical school at New York University, Shaffer began his career training at the Hospital for the Ruptured and Crippled in 1867. Shaffer then went on to practice at St. Luke's Hospital and New York Orthopaedic Dispensary and Hospital where he became chief. Here, Shaffer made major contributions to the field in treating clubfoot and tuberculosis. He then declared orthopedics as a separate entity from general surgery at the 10th International Medical Congress. He helped start the American Orthopaedic Association to push for the recognition of American orthopedics to the international community. In 1900, Shaffer opened the first state-run hospital for underprivileged children requiring rehabilitation. During his career, Shaffer advocated for conservative orthopedic treatments, aided in the invention of medical devices, contributed largely to academic orthopedics, and successfully advocated for the inception of the field of orthopedic surgery.

[Non-unions of the upper extremities]. / Pseudarthrosen der oberen Extremität.

The diagnosis and treatment of non-unions still represents an interdisciplinary challenge. Therefore, prevention, early detection and specific treatment are of great importance. Non-unions of the upper extremities, although less common than that of the lower extremities, requires special attention for successful treatment due to the central role of the shoulder girdle and arm in day to day activities. Successful treatment of non-unions requires a comprehensive evaluation of the patient's medical history, a thorough clinical examination and in particular radiological imaging. In order to effectively treat the pseudarthrosis it is crucial to distinguish between pseudarthroses that are suspected to be due to infections and those that are not. This article presents a treatment algorithm for managing both pseudarthrosis due to infection and pseudarthrosis without infection in the upper extremities.