Application of ChatGPT for Orthopedic Surgeries and Patient Care.

Artificial intelligence (AI) has rapidly transformed various aspects of life, and the launch of the chatbot "ChatGPT" by OpenAI in November 2022 has garnered significant attention and user appreciation. ChatGPT utilizes natural language processing based on a "generative pre-trained transfer" (GPT) model, specifically the transformer architecture, to generate human-like responses to a wide range of questions and topics. Equipped with approximately 57 billion words and 175 billion parameters from online data, ChatGPT has potential applications in medicine and orthopedics. One of its key strengths is its personalized, easy-to-understand, and adaptive response, which allows it to learn continuously through user interaction. This article discusses how AI, especially ChatGPT, presents numerous opportunities in orthopedics, ranging from preoperative planning and surgical techniques to patient education and medical support. Although ChatGPT's user-friendly responses and adaptive capabilities are laudable, its limitations, including biased responses and ethical concerns, necessitate its cautious and responsible use. Surgeons and healthcare providers should leverage the strengths of the ChatGPT while recognizing its current limitations and verifying critical information through independent research and expert opinions. As AI technology continues to evolve, ChatGPT may become a valuable tool in orthopedic education and patient care, leading to improved outcomes and efficiency in healthcare delivery. The integration of AI into orthopedics offers substantial benefits but requires careful consideration and continuous improvement.

5G-enabled smart hospitals: Innovations in patient care and facility management.

Smart hospitals represent the pinnacle of healthcare innovation, leveraging cutting-edge technologies to transform patient care and facility management. This article addresses the pressing need for effective implementation of 5G technology in smart hospitals, aiming to enhance connectivity, improve patient outcomes, and drive operational efficiency. The methodology employed involves a comprehensive review of existing literature, case studies, and expert insights to analyze the impact of 5G on various aspects of smart hospital operations. The article highlights the significance of 5G technology in enabling real-time data analytics, remote monitoring, and telemedicine, thus revolutionizing healthcare delivery. By providing high-speed, low-latency connectivity, 5G facilitates seamless communication and collaboration among healthcare providers, leading to more efficient diagnosis, treatment, and patient care. Additionally, the adoption of 5G enables smart hospitals to leverage artificial intelligence (AI)-based solutions for predictive analytics, personalized medicine and enhanced patient engagement. Furthermore, the article explores the potential of 5G-enabled smart hospitals in enhancing disaster preparedness and emergency response efforts. Case studies and examples demonstrate how 5G technology can improve situational awareness, coordinate resources, and deliver timely care during natural disasters and pandemics. Overall, this article underscores the transformative impact of 5G technology on smart hospitals and emphasizes the importance of embracing innovation to meet the evolving needs of patients and communities. By adopting 5G technology, smart hospitals can usher in a new era of healthcare delivery characterized by enhanced connectivity, improved patient outcomes, and unparalleled efficiency.

Healthcare Students' Perceptions About Approaching Spirituality in Their Training and Patient Care: Online, Cross-Sectional Survey.

Objective: Recent scientific literature points out that religiosity and spirituality play a relevant role in many aspects of life, including health issues. We aimed to evaluate the healthcare students' perceptions about approaching spirituality in their training and patient care in Brazilian universities. Methods: A cross-sectional observational study was conducted following the STROBE guidelines. Through an anonymous online survey, adult healthcare students from two universities in the city of Pelotas (Brazil) answered a questionnaire about their perceptions on approaching spirituality in their training and patient care. Chi-squared tests were performed, and P ≤ .05 was considered statistically significant. Results: A total of 163 students were included in the analysis. Most believed that spirituality is important for their training (74.8%) and patient care (84%). However, a minority had had contact with the theme of spirituality during their training (48.5%) or had experienced a situation in which the spiritual aspects of a patient were addressed (47.2%). The students from the private university had more contact with the theme of spirituality in healthcare during their training. Nursing students had significantly more contact with the theme of spirituality in healthcare (P = .008) and had experienced more situations in which the spiritual aspects of a patient were addressed (P = .031) than other students. Conclusion: Most students believed that the theme of spirituality in healthcare is important for their training and patient care. However, they still had insufficient contact with it during their education. More studies with greater statistical power are needed to better understand this situation globally.

What Factors Contribute to Ethical Problems in Patient Care? A Scoping Review and Case Series of Clinical Ethics Consultations.

AbstractBackground: Healthcare professionals (HCPs) are frequently exposed to ethical problems in patient care that can affect the quality of care. Understanding risk factors for ethical problems may help practitioners to address these problems at an early stage. This study aims to provide an overview of ethical risk factors in patient care. Risk factors known from the literature and those found in clinical ethics consultation (CEC) cases are reviewed. METHODS: A scoping review of ethical risk factors in patient care and a CEC case series were conducted, analyzing the documentation (consultation reports, feedback forms, electronic medical records) of 204 CECs from 2012 to 2020 at a somatic and a psychiatric university hospital in Basel, Switzerland. RESULTS: Ninety-nine ethical risk factors were identified in nine articles, related to four risk areas: patient (41), family (12), healthcare team (29), and system (17). Eighty-seven of these risk factors were documented at least once in the CEC case series. The most prevalent risk factors in the consultations studied were patient vulnerability (100%), missing or unclear hospital ethics policy (97.1%), shift work (83.3%), lack of understanding between patient and HCP (73.5%), poor communication (66.2%), disagreement between patient and HCP about care (58.8%), and multiple care teams (53.4%). The prevalence differed significantly by medical specialty. CONCLUSIONS: There are highly prevalent ethical risk factors at all levels of clinical care that may be used to prevent ethical problems. Further empirical research is needed to analyze risk ratios and to develop specific risk profiles for different medical specialties.

Digital Health Support: Current Status and Future Development for Enhancing Dialysis Patient Care and Empowering Patients.

Chronic kidney disease poses a growing global health concern, as an increasing number of patients progress to end-stage kidney disease requiring kidney replacement therapy, presenting various challenges including shortage of care givers and cost-related issues. In this narrative essay, we explore innovative strategies based on in-depth literature analysis that may help healthcare systems face these challenges, with a focus on digital health technologies (DHTs), to enhance removal and ensure better control of broader spectrum of uremic toxins, to optimize resources, improve care and outcomes, and empower patients. Therefore, alternative strategies, such as self-care dialysis, home-based dialysis with the support of teledialysis, need to be developed. Managing ESKD requires an improvement in patient management, emphasizing patient education, caregiver knowledge, and robust digital support systems. The solution involves leveraging DHTs to automate HD, implement automated algorithm-driven controlled HD, remotely monitor patients, provide health education, and enable caregivers with data-driven decision-making. These technologies, including artificial intelligence, aim to enhance care quality, reduce practice variations, and improve treatment outcomes whilst supporting personalized kidney replacement therapy. This narrative essay offers an update on currently available digital health technologies used in the management of HD patients and envisions future technologies that, through digital solutions, potentially empower patients and will more effectively support their HD treatments.

Informal care after hip fracture: prospective cohort.

BACKGROUND: Hip fracture is very common and it has life-shattering consequences for older persons. After discharge the older persons need help with even basic everyday activities from formal and informal caregivers. In Scandinavia formal care are well-developed however the presence of informal caregivers likely reflect on the amount of formal care and wears on the informal caregivers. This study explore how often and how much informal care (IC) older persons receive after hip fracture. METHOD: We contacted 244 community-dwelling older persons every two weeks the first twelve weeks after discharge after hip fracture and asked them if they received care from family and/or friends and how much. We used non-parametric statistics and level of significance was 95%. RESULTS: The proportion of older persons receiving IC was 90% and the median amount of IC was 32 hours (IQR 14-66). The number of older persons who received IC was highest the first four weeks after discharge and so was the amount of hours of IC. The older persons that were high-dependence on IC received a median of 66 (IQR 46-107) hours compared to the low-dependent of 11 hours (IQR 2-20). CONCLUSION: IC is very frequent, especially the first two to four weeks after discharge. The median IC was 32 hours from discharge to the 12-week follow-up. However, this figure tended to rise for persons with, among other, reduced functionality and those residing with a partner. IMPLICATIONS: With respect to local differences, the findings in this study are likely applicable to other Scandinavian countries. We strongly suggest that the variation in older person need for informal caregiver be given consideration in the prioritisation of resources. TRIAL REGISTRATION: This prospective cohort study of informal care, was part of a cluster-randomised stepped-wedge clinical controlled trial. Written consent was obtained required by regional ethics committee S-20200070. Data was collected in accordance with the Danish Data Protection Agency (20-21854).

Characterization of patients requiring inpatient hospital ethics consults- A single center study.

INTRODUCTION: Ethics consultations are often needed at difficult junctures of medical care. However, data on the nature of how patient characteristics, including race/ethnicity, language, and diagnosis, affect ethics consult outcomes are lacking. METHODS: We performed a retrospective cohort study of all patients who were seen by the Ethics Consult Service between 2017 and 2021 at a large tertiary academic center with the aim of determining whether patient demographic and clinical factors were associated with the timing of ethics consult requests and recommendations of the ethics team. RESULTS: We found that patients admitted for COVID-19 had significantly longer median times to consult from admission compared with other primary diagnoses (19 vs 8 days respectively, p = 0.015). Spanish-speaking patients had longer median times to consult from admission compared to English speaking patients (20 vs 7 days respectively, p = 0.008), indicating that language barriers may play a role in the timing of ethics consultation. CONCLUSIONS: This study demonstrates the need to consider clinical and demographic features when planning and prioritizing ethics consultations at large institutions to enhance consult efficiency, resource utilization, and patient experience and autonomy.

Inpatient-level care at home delivered by virtual wards and hospital at home: a systematic review and meta-analysis of complex interventions and their components.

BACKGROUND: Technology-enabled inpatient-level care at home services, such as virtual wards and hospital at home, are being rapidly implemented. This is the first systematic review to link the components of these service delivery innovations to evidence of effectiveness to explore implications for practice and research. METHODS: For this review (registered here https://osf.io/je39y ), we searched Cochrane-recommended multiple databases up to 30 November 2022 and additional resources for randomised and non-randomised studies that compared technology-enabled inpatient-level care at home with hospital-based inpatient care. We classified interventions into care model groups using three key components: clinical activities, workforce, and technology. We synthesised evidence by these groups quantitatively or narratively for mortality, hospital readmissions, cost-effectiveness and length of stay. RESULTS: We include 69 studies: 38 randomised studies (6413 participants; largely judged as low or unclear risk of bias) and 31 non-randomised studies (31,950 participants; largely judged at serious or critical risk of bias). The 69 studies described 63 interventions which formed eight model groups. Most models, regardless of using low- or high-intensity technology, may have similar or reduced hospital readmission risk compared with hospital-based inpatient care (low-certainty evidence from randomised trials). For mortality, most models had uncertain or unavailable evidence. Two exceptions were low technology-enabled models that involve hospital- and community-based professionals, they may have similar mortality risk compared with hospital-based inpatient care (low- or moderate-certainty evidence from randomised trials). Cost-effectiveness evidence is unavailable for high technology-enabled models, but sparse evidence suggests the low technology-enabled multidisciplinary care delivered by hospital-based teams appears more cost-effective than hospital-based care for those with chronic obstructive pulmonary disease (COPD) exacerbations. CONCLUSIONS: Low-certainty evidence suggests that none of technology-enabled care at home models we explored put people at higher risk of readmission compared with hospital-based care. Where limited evidence on mortality is available, there appears to be no additional risk of mortality due to use of technology-enabled at home models. It is unclear whether inpatient-level care at home using higher levels of technology confers additional benefits. Further research should focus on clearly defined interventions in high-priority populations and include comparative cost-effectiveness evaluation. TRIAL REGISTRATION: https://osf.io/je39y .

Quality of Large Language Model Responses to Radiation Oncology Patient Care Questions.

Importance: Artificial intelligence (AI) large language models (LLMs) demonstrate potential in simulating human-like dialogue. Their efficacy in accurate patient-clinician communication within radiation oncology has yet to be explored. Objective: To determine an LLM's quality of responses to radiation oncology patient care questions using both domain-specific expertise and domain-agnostic metrics. Design, Setting, and Participants: This cross-sectional study retrieved questions and answers from websites (accessed February 1 to March 20, 2023) affiliated with the National Cancer Institute and the Radiological Society of North America. These questions were used as queries for an AI LLM, ChatGPT version 3.5 (accessed February 20 to April 20, 2023), to prompt LLM-generated responses. Three radiation oncologists and 3 radiation physicists ranked the LLM-generated responses for relative factual correctness, relative completeness, and relative conciseness compared with online expert answers. Statistical analysis was performed from July to October 2023. Main Outcomes and Measures: The LLM's responses were ranked by experts using domain-specific metrics such as relative correctness, conciseness, completeness, and potential harm compared with online expert answers on a 5-point Likert scale. Domain-agnostic metrics encompassing cosine similarity scores, readability scores, word count, lexicon, and syllable counts were computed as independent quality checks for LLM-generated responses. Results: Of the 115 radiation oncology questions retrieved from 4 professional society websites, the LLM performed the same or better in 108 responses (94%) for relative correctness, 89 responses (77%) for completeness, and 105 responses (91%) for conciseness compared with expert answers. Only 2 LLM responses were ranked as having potential harm. The mean (SD) readability consensus score for expert answers was 10.63 (3.17) vs 13.64 (2.22) for LLM answers (P < .001), indicating 10th grade and college reading levels, respectively. The mean (SD) number of syllables was 327.35 (277.15) for expert vs 376.21 (107.89) for LLM answers (P = .07), the mean (SD) word count was 226.33 (191.92) for expert vs 246.26 (69.36) for LLM answers (P = .27), and the mean (SD) lexicon score was 200.15 (171.28) for expert vs 219.10 (61.59) for LLM answers (P = .24). Conclusions and Relevance: In this cross-sectional study, the LLM generated accurate, comprehensive, and concise responses with minimal risk of harm, using language similar to human experts but at a higher reading level. These findings suggest the LLM's potential, with some retraining, as a valuable resource for patient queries in radiation oncology and other medical fields.

Barriers and facilitators of implementation of new antibacterial technologies in patient care: an interview study with orthopedic healthcare professionals at a university hospital.

BACKGROUND: Antimicrobial resistance is a major global health threat. Therefore, promising new antibacterial technologies that could minimize our dependence on antibiotics should be widely adopted. This study aims to identify the barriers and facilitators of the adoption of new antibacterial technologies in hospital patient care. METHODS: Semi-structured interviews, based on the Consolidated Framework for Implementation Research, were conducted with healthcare professionals related to the orthopedics department of an academic hospital in The Netherlands. RESULTS: In total, 11 healthcare professionals were interviewed. Scientific evidence for the effectiveness of the technology was the most explicitly mentioned facilitator of adoption, but other (often contextual) factors were also considered to be important. At the level of the inner and outer setting, high costs and lacking coverage, competition from other firms, and problems with ordering and availability were the most explicit perceived barriers to adoption. Participants did not collectively feel the need for new antibacterial technologies. CONCLUSIONS: Barriers and facilitators of the adoption of new antibacterial technologies were identified related to the technology, the hospital, and external factors. The implementation climate might have an indirect influence on adoption. New antibacterial technologies that are scientifically proven effective, affordable, and easily obtainable will most likely be adopted.

ADVANCES IN MINIMALLY INVASIVE SURGERY FOR PECTUS EXCAVATUM: ENHANCING OUTCOMES AND PATIENT CARE.

Pectus excavatum, also called sunken chest, is the most common deformation of the sternum (90%). The deformation is caused by the depression of the sternum and costal cartilages, which causes reduction of the chest cavity and dysfunction of cardio-pulmonary systems in it. Sunken chest is more common in males than females, prevalence is 5/1. Most of the cases appear in the first year of life, however severity of the pathology is formed during puberty. Etiopathogenesis, genetic factors, and associated diseases of Pectus Excavatum are various and are still the subject of study. The manifestation of the disease is determined by the degree of chest deformation, which is calculated using the "Haller index". Providing that a high degree of deformation can lead to pathological functioning of the cardiovascular and respiratory systems. The treatment of this condition is an urgent, complex, and developing issue. The main method of treatment for sunken chest is surgical intervention; However, in cases of mild degrees of the mentioned deformation, different approaches are used. Our goal is to discuss contrasting treatment techniques and present our improved repairing technique for sunken chest, which is performed in Georgia.

[The professional burnout of medical workers and its determining factors].

The study was carried out using survey technique applied to sampling of workers of the first three polyclinics of Moscow. The method was based on international questionnaire Maslach Burnout Inventory (MBI) that permitted to consider characteristics of activity of medical professionals. The analysis of results of study demonstrated that overall prevalence of burnout among doctors is 17%,among nursing personnel - 21%, among non-medical personnel - 19%. The average age of workers with professional burnout is 34-49 years. Among workers with burnout more than half of them had higher education and 30% had specialized secondary education. The workers consider as main factors of professional burnout necessity to spend most of working time at the computer (up to 92%), unrealistic expectations of patients from received medical care (up to 88%), deficiency of time for reception of patients and personal life. The majority of employees had an average (35%) and low (43%) level of reduction in personal achievements that testifies well-being of work environment. The conclusion is made that in polyclinic section of Moscow health care there are no serious conflicts in collectives and existing conflicts are within limits of working relationships.

[The world experience of monitoring of satisfaction with medical care: the analytical review].

The satisfaction of patients is one of key indicators used to assess quality of medical care and its effectiveness from point of view of achieving patient-oriented results. Nowadays, the tools assessing patient satisfaction with medical care are largely applied all over the world. The world experience of monitoring satisfaction of population with medical care is necessary for better understanding of dynamics of indicator and possible forecasting of its level in Russia. The purpose of the study is to analyze existing national systems of monitoring satisfaction of patient with medical care and to identify particular established trends. The search for free access publications was implemented using such databases as PubMed, Google Scholar, ResearchGate and eLibrary. The keywords patient satisfaction, national monitoring, satisfaction trends, The sampling included 55 publications. The analysis established that in many countries measurement of degree of satisfaction of patient with medical care become routine practice and integral part of of evaluation of efficacy of both medical organizations and health care in a whole. The initial level of satisfaction with medical care depends on multitude of population variables, including predominant race, culture and nationality of population, gender and age structure, social economic conditions, level of incomes and prevalence of urban or rural population. The dynamics of satisfaction level in most countries demonstrates steady, but slow and statistically insignificant increasing of indicators, though different in various domains of satisfaction. The identified factors are to be considered both at the Federal level to formulate correct conclusions and at the regional level to develop corresponding measures.

Symbiosis of Technology and Ethics: Preliminary Results of an Inquiry into the Moral Dimensions in the Use of Robotic Systems in Patient Care.

The present study aims to describe ethical and social requirements for technical and robotic systems for caregiving from the perspective of users. Users are interviewed in the ReduSys project during the development phase (prospective viewpoint) and after technology testing in the clinical setting (retrospective viewpoint). The preliminary results presented here refer to the prospective viewpoint.