Health Care Outcomes Research Articles

Machine Learning and Computer Vision Driving Precision in Robotic Surgery

The utilization of Artificial Intelligence (AI) in robotic surgery represents a significant advancement in healthcare, improving precision, effectiveness, and overall patient outcomes. The research studies the recent improvements in AI-powered robotic surgery, fastening on how artificial intelligence algorithms such as machine learning, computer vision, and natural language processing are transforming surgical processes. AI improves the functioning of robotic systems by employing data-driven algorithms, enabling independent or semi-autonomous tasks, and furnishing surgeons with exceptional delicacy through real-time analytics. AI-supported minimally invasive procedures and stoked reality interfaces have helped to drop complications, rehabilitation times, and surgical failures. The exploration explores the impact of AI on surgical training and simulation, in which AI- AI-grounded virtual surroundings give surgeons realistic practice scripts before performing live operations.

Simulation-Based Training in Clinical Event Debriefing Improves Leadership Performance.

Clinical event debriefing (CED) improves healthcare team performance and patient outcomes. Most pediatric emergency medicine (PEM) physicians do not receive formal training in leading CED. Our objectives were to develop a CED curriculum and evaluate its effect on performance, knowledge, comfort, and clinical practice. This was a single group pre-post-retention study. We developed a hybrid curriculum with simulation, an interactive module, and individual feedback. We invited faculty and fellows from the PEM division of our hospital to participate. During an in-person training day, participants led standardized clinical simulation scenarios followed by simulated CED with immediate feedback on their leadership performance. They watched an interactive module between scenarios. Participants returned for a retention assessment 2-6 months later with a third simulation and debrief. Participants completed surveys measuring attitudes, experiences, and knowledge. Participants also evaluated the curriculum.The primary outcome was CED leadership performance using a novel 21-item tool that we developed, the Debrief Leadership Tool for Assessment (DELTA). A blinded, trained rater measured performance with DELTA. Secondary outcomes included changes in knowledge and comfort and changes in clinical practice. Twenty-seven participants enrolled and completed all parts of the curriculum and assessments. Debrief leadership performance improved by a mean of 3.7 points on DELTA pre-training to post-training (95% confidence interval = 2.7, 4.6, P < 0.01) and by 1.4 points from pre-training to retention (95% confidence interval = 0.1, 2.8, P = 0.03). Knowledge and comfort also significantly improved from pre-training to post-training and were sustained at retention. Most (67%) participants changed their clinical practice of CED after completing the curriculum. All participants would recommend the training to other PEM physicians. A hybrid simulation-based curriculum in leading CED for PEM physicians was associated with improvement in CED leadership performance, knowledge, and comfort. PEM physicians incorporated training into their clinical practice.

Investigating Remote Healthcare Accessibility with AI: Deep Learning and NLP-Based Knowledge Graph for Digitalized Diagnostics

Introduction: Recently, vast generational modern AI techniques have facilitated developments for accessing digital healthcare diagnosis with capabilities of detecting illnesses. Problem: There exists a lot of scepticism for e-health couple with high similarities on health symptoms which hinder text data analysis for remote diagnosis limiting remote services and affecting tech development. Objective: This research investigates and substantiates opportunities associated with computational leverage of text data analytics and cognitive extraction of knowledge insights to improve healthcare outcomes. Significance: The study presents an overview of public, an integrated deep learning (DL), and AI knowledge graph (KG) for healthcare accessibility of remote diagnostics with NLP assist. Method: This research applied both qualitative and quantitative analysis. Questionnaires were used to understand the computational analytics and cognitive extraction of AI knowledge graphs on healthcare data. Also, an AI model was built to detect, diagnose based on text data and streamline five (5) related disease symptoms for each given text input. Results: The result of the survey was tested with hypotheses of H1, H2, H3, H4, H5. Results show that deep learning models and knowledge graphs can effectively lead to a well-defined class of data classification. Our model also exhibits a tremendous level of acceptable prediction of health symptoms based on text data. The significant group was accepted as an identified health issue and the non-significant was identified as a non-health issue. Conclusion: The study concludes that a well-defined system based on a rigorous ethical healthcare standard can easily support determining a feasible remote diagnosis.

Surgical Training Pathways in the United Kingdom and the United States: Lessons for Resource-Limited Settings From High-Income Countries.

Background Surgical training is a critical component of healthcare, especially in high-income countries such as the United Kingdom (UK) and the United States (US), which have established distinct, well-organised training frameworks. Comparing these systems provides valuable insights that may enhance global surgical education, particularly in low- and middle-income countries, where training and retaining proficient surgeons are considerable challenges. Methodology This comparative study examines the surgical training systems in the UK and the US, focusing on key aspects, including training structure, competency-based assessments, and work-hour regulations. Data were sourced from regulatory organisations such as the General Medical Council, the Royal College of Surgeons, the Accreditation Council for Graduate Medical Education, and the American Board of Surgery. The analysis explores how elements of these models might be adapted to support sustainable surgical education frameworks in resource-limited environments. Ethical approval was not required due to the use of publicly accessible data and no patient involvement. Results The UK and US surgical training systems differ substantially in their structure, training duration, and specialisation timing. The UK employs a tiered approach, offering generalist experience before specialisation, while the US favours early specialisation directly after medical school. Both systems implement competency-based evaluations, though the US system places a greater emphasis on case volume and procedural exposure. Work-hour regulations also vary, with the UK capping weekly hours at 48 under the European Working Time Directive, compared to an 80-hour maximum in the US, which results in differing levels of trainee satisfaction and burnout rates. Conclusions The competency-based assessments in both the UK and the US offer adaptable frameworks for resource-limited settings. The phased training approach in the UK is well-suited for environments requiring versatile surgeons capable of handling a wide range of cases. By implementing these adaptable elements, along with cost-effective training innovations such as simulation tools, e-learning platforms, and international partnerships, resource-constrained regions can foster a sustainable, skilled surgical workforce. These insights offer pathways to improve healthcare outcomes and equity globally by enhancing surgical capacity in regions with limited resources.

Enhancing healthcare outcomes and cost efficiency through patient support programs: a comprehensive analysis

Abstract Introduction Treatment retention is crucial for patients with chronic diseases, impacting both clinical outcomes and healthcare costs. Patient Support Programs (PSP), often sponsored by pharmaceutical companies as a wraparound support service for new and innovative medicines, have been shown to be a viable tool in supporting treatment retention and adherence1. Utilizing tools like Patient Activation Measure (PAM®) equips healthcare providers with a means to evaluate the impact of these PSPs on patients' activation and their potential to adhere to medication. The PAM is a behavioural concept focusing on a patient’s understanding of their role in their healthcare, and how competent they feel to fulfil that role. Crucially, there is substantial evidence indicating a strong association between higher PAM scores and improved clinical outcomes2. Aim This study objectives are to evaluate the effectiveness of PSP in reducing treatment drop-off; to investigate the impact of PSP on patient activation/PAM levels; and to analyse potential cost savings from patient activation through PSP participation. Methods The study population includes patients (n= 97795) diagnosed with chronic diseases receiving one of three services from a Clinical Homecare company: (1) Direct-to-patient medication delivery (DD); (2) DD plus self-administration training and (3) DD, self-administration training and PAM-based PSP. Patient “drop-off” from treatment was analysed across all three services and defined as discontinuation of medication due to unwillingness to engage, non-response to engagement attempts, or requests to put the service on hold. Additionally, change in PAM level/activation for patients who completed baseline and follow-up PAM surveys between October 2020 and March 2024 (n=1880) was considered. Finally, expected cost saving was examined, both as a result of the observed change in activation for PSP patients as well as in a hypothetical scenario where patients in DD and self-administration training are redirected to PSP. Ethical approval was not required because the study does not involve any patient interaction/intervention whatsoever. It was a retrospective data analytical study, using existing and fully anonymised patient data from routine clinical care. Results Fewer patients drop off from treatment when they are on the PSP (1.1%) compared to those that are on self-administration training (2.1%) or DD (2.8%). Participation in PSP also positively impacted PAM scores across all therapies, with average improvements ranging from 1 to 8.1 points per patient. Patients in the lower two activation levels (typically at the greatest risk of non-adherence) experienced the most substantial gains (ranging from 8.4 to 17.4 points) emphasizing the significance of intervention. These improvements in PAM scores by PSP translated to substantial cost savings for the health system, amounting to £1,028,669. Finally, where the same treatment drop-off rate and PAM performance ratio are applied to a hypothetical scenario involving the redirection of patients from DD and self-administration training to PSP, there is a further potential cost savings of £4,298,277. Conclusion Participation in PSP improves patient activation and the potential to adhere to prescribed medication, while producing significant financial benefits. Further research is needed to understand how these benefits may vary across different therapy areas and within primary, secondary, and homecare settings.

Reporting Sex and Gender Differences in Cardiovascular Research

Incorporating sexual orientation, gender identity, and expression (SOGIE) data into cardiovascular research design is necessary to reduce cardiovascular healthcare disparities among sexual and gender minority (SGM) people. To achieve this, researchers should not only understand appropriate terminology, but also implement inclusive survey tools that respect privacy and cultural nuances, as the benefit of obtaining SOGIE information is critical to tailoring cardiovascular interventions and ensuring equitable healthcare outcomes. In order to address potential concerns related to disclosing SOGIE information, we must prioritize sensitivity training for healthcare professionals to foster an inclusive environment for data collection, ethical considerations, and confidentiality safeguards. This review aims to develop and inform critical thinking about sex and gender and to identify strategic mechanisms to include SOGIE data in cardiovascular research, thus improving cardiovascular health outcomes for SGM individuals. By embracing a more comprehensive and inclusive approach to data collection, cardiovascular research can contribute significantly to advancing personalized and inclusive healthcare practices and medical education, and ultimately promote better health outcomes for all SGM individuals.

Postpartum Acute Care Utilization in a Health Care System in the Southeastern United States.

Introduction: Postpartum acute care utilization (PACU), including visits to an emergency department, obstetric triage, or urgent care ("outpatient"), and hospital readmissions, may indicate medical complications and signal unmet health needs. Methods: We estimated the incidence of PACU and examined patterns by sociodemographic factors, pregnancy and birth characteristics, time since discharge from the birth hospitalization, and medical indications. We constructed a retrospective cohort of people aged ≥18 years who delivered ≥1 liveborn infant >20 weeks of gestation from July 1, 2021, to December 31, 2022, using electronic health record data from a quaternary maternity hospital in the Southeastern United States PACU data throughout the health care system were collected through March 31, 2023. We excluded people with a hospital stay >6 days (n = 29). Results: In this cohort of 6,041 birthing people, 11.3% had ≥1 outpatient encounters(range 0-6) and 3.2% had ≥1 hospital readmissions (range 0-4) within 12 weeks of discharge from the birth hospitalization. Median time to first outpatient PACU was 10 days post-discharge and 6 days for first hospital readmission. Among encounters for the top five medical indications, time to first postpartum acute care encounter varied by medical indication (log-rank test of equality over strata Chi-square = 69.93, degrees of freedom = 4, p < 0.0001). Complications specified during the puerperium (n = 234) and hypertension and hypertensive-related conditions complicating the puerperium (n = 87) were the two most frequent indications. Conclusion: These findings can inform efforts to direct health resources to improve postpartum health care and health outcomes.

Comfort Care Needs of Allogeneic Stem Cell Transplant Survivors: Lived Experience

Introduction: Allogeneic Stem Cell Transplantation (ASCT) and, consequently, the chronicity associated with this life event have a growing prevalence and a significant impact on the life and daily life of each person who experiences it. It is necessary to reflect on the care needs of this group of vulnerable people. Comfort is a concern, and its improvement is a desired outcome of healthcare. To achieve this, it is necessary to know the needs of the people who are the focus of care. Aim: This paper aims to understand the needs of comfort care in the lived experience of comfort for survivors of ASCT. Methodology: Qualitative approach using van Manen’s phenomenology of practice. We uncovered the phenomenon through phenomenological interviews, which integrated narratives and illustrative episodes that reflected the lived experience of 20 survivors. Participants in the study were people who had undergone allogeneic hematopoietic progenitor cell transplantation, who were monitored on an outpatient basis and who met the following conditions: (i) were over 18 years old; (ii) had undergone SCT at least 3 months previously; (iii) had no evidence of disease relapse; (iv) were able to express themselves verbally, providing information relevant to the study, as well as expressing emotions and feelings. Descriptions of lived experiences were collected from participants between July 2020 and May 2021. In the phenomenological reflection on the lived descriptions, we followed the “stages” epoché, reduction, and vocative. Results: The following themes emerged from the ASCT survivor’s lived experience of comfort related to comfort care needs: continuous follow-up, reference nurse, information, assistance in adapting to the new self, mental health intervention, spiritual support, adaptation to changes in sexuality, physical rehabilitation, and job reintegration. Conclusion: This study reveals the importance of continuous follow-up for ASCT survivors. Survivors experience major changes in their lives in the long term and require a response from health professionals to find comfort in their daily lives.

The Impact and Potential of Quick Response (QR) Codes in Healthcare: A Comprehensive Review

In today’s rapidly evolving healthcare landscape, the integration of innovative technologies is becoming increasingly essential to enhance patient care, medication and overall healthcare outcomes. Quick Response (QR) codes have emerged as a versatile tool with significant potential to revolutionize such aspects of the healthcare industry. Through a review of 30 studies, we uncover the significant impact of integrating QR codes into healthcare systems. Across various domains, QR codes prove instrumental in enhancing patient care, streamlining workflows, and improving communication between healthcare professionals and patients. Notable findings include the role of QR in ensuring medication safety and advancing education as well as training within healthcare settings. Despite some challenges, user satisfaction remains high, underscoring QR codes’ effectiveness in optimizing healthcare delivery and outcomes from a human-centred perspective. This includes considering usability, cognitive load, and ergonomic design, all of which are crucial for maximizing the benefits of QR code technology in healthcare.

103. The Impact of COVID-19 restrictions on Open Fracture Emergency Fixation Procedures in eight institutions around South and Southeast Asia

Introduction: Around the time COVID-19 was declared a global pandemic, various restrictions and measures were implemented at all levels to limit disease spread and preserve healthcare capacity. Data is lacking in many low and middle-income countries on how these measures impact healthcare utilization and outcomes. This study aims to determine the impact of COVID-19 restrictions on volumes of the open fracture emergency fixation procedures in South and Southeast Asia. Methods: This was a retrospective cohort study of patients who underwent open fracture fixation from 1 January 2018 to 31 December 2021 at one of 8 institutions in Singapore, Malaysia, Indonesia, India and Vietnam. We compared the weekly volumes, baseline characteristics and outcomes of each procedure across different time periods in each institution defined by different level of COVID-19 restrictions using selected indicators from a city-level and hospital-level response index. Results: A total of 74 (AMH) to 299 (SGH) open fracture fixations were performed over the 4-year period. Weekly volumes decreased significantly at GNRC (p = 1.33 x 10-5), AMH (p = 1.68 x 10-6) and UGH. At UGH there was a drop in the proportion of males during HR1 (66.7%) and HR3 (46.7%) compared to pre-COVID (83.0%) and HR2 (82.4%) (p = 2.02 x 10-4). None of the outcomes were significantly different in any of the institutions. Conclusions: COVID-19 restrictions on the city and hospital level were associated with a decrease in surgical volumes of the open fracture fixation emergency procedures in some of the institutions. There was some suggestion of surgical capacity limitations in UGH and MH175 during periods of more stringent COVID-19 restrictions.

Improvement of Care Cascade for Hypertension and Diabetes in Rural China: Protocol for an Implementation Study.

The management of hypertension and diabetes poses significant challenges to China's healthcare system, necessitating seamless patient progression through screening, diagnosis, management, and control. Utilizing the care cascade model, this study aims to systematically identify patient drop-offs and devise strategies to address healthcare delivery bottlenecks for hypertension and diabetes in rural China. This study consists of three phases. In Phase 1, qualitative interviews are conducted to explore healthcare experiences and identify determinants across the care cascade. Phase 2 involves systematically assessing barriers identified in Phase 1 and collaborating with local stakeholders using intervention mapping and co-design to generate interventions and implementation strategies. Phase 3 is a cluster randomized controlled trial involving 48 villages, randomly assigned in a 1:1 ratio, to compare changes in hypertension and diabetes care. Intervention villages will implement interventions developed in Phase 2 for 1 year, while control villages will continue with usual care. Primary outcomes include between-group differences in achieving blood pressure and glycemic targets, along with service and implementation outcomes. This study aims to identify the stage with the largest patient retention gap in the care cascade and develop intervention strategies through participatory co-design with practitioners, emphasizing feasible, low-cost approaches. The pragmatic cluster RCT will assess strategy effectiveness, offering valuable insights for practical interventions to enhance hypertension and diabetes care in rural settings, potentially shaping impactful programs and improving healthcare outcomes. Trial Registration: ClinicalTrials.gov. identifier: NCT06141278.

Teamworking in Dentistry: The Importance for Dentists, Dental Hygienists and Dental Therapists to Work Effectively Together-A Narrative Review.

To consider teamworking in dentistry, focusing especially on the role of dental hygienists (DHs) and dental therapists (DTs) as part of the dental team. A narrative review of studies that have investigated teamworking in periodontology and dentistry in general together with consideration of examples of relevant regulatory and governmental policy documents. The inclusion of DHs and DTs as key members of the dental team yields significant patient benefits in terms of access to care (particularly among under-served populations), efficient and effective treatment and improved healthcare outcomes for patients. However, barriers can exist to full implementation of effective working in dental teams, including both systemic and regulatory barriers, as well as attitudinal barriers. Furthermore, DHs and DTs are not always working to their full scope of practice, thereby limiting the care that these team members can provide. Mutual respect between dental team members, high-quality communication and a common ethos and shared clinical standards are all essential for effective teamworking. DHs and DTs have a clear role to play in achieving sustainable improvements in oral and dental health for patient populations globally. Full and effective integration of DHs and DTs into healthcare teams will benefit not only the dental team, but also healthcare systems and patient populations, via more effective teamworking, improved access to care and enhanced treatment outcomes.

Practicing health equity in kidney care by establishing improved access to timely disease management and kidney replacement therapy options: from providers to patients.

The aim of this article is to review the current understanding of disparities in healthcare experienced by people living with kidney disease and emerging approaches to address root causes. Health equity for any disease state is an aspirational goal commonly sought out by the medical community, but all too often lacking the understanding and support required to improve the outcomes of people with complex conditions such as chronic kidney disease (CKD). The main themes of the literature covered in this article include a review of the structural drivers of healthcare outcomes, a description of research in the fields of health literacy and patient activation for patients with CKD, and an analysis of the examples of healthcare disparities in CKD patients that include involuntary discharges from dialysis facilities as well as the toll taken from dialysis populations during natural disasters. The National Forum of the ESRD Networks is a coalition of 18 congressionally mandated ESRD network organizations committed to equitable access to home and in-center dialysis modalities and preemptive kidney transplantation. We conclude with the patient-centered story of a patient living with end-stage kidney disease for over 40 years and how her journey has helped shape her view on what she believes should encompass a 'call to action' to provide more equitable healthcare to people living with kidney disease. The overarching implications of this article focus on improving the understanding of present-day healthcare inequality within the community of people living with kidney disease and providing a roadmap of resources and ideas that will help achieve more equitable outcomes. The National Forum of the ESRD Networks is committed to the effective implementation of 'Practicing Health Equity in Kidney Care' and improving access to dialysis modalities including home dialysis as well as kidney transplantation including preemptive transplant options.

Health Disparities in General Medicine: A Systematic Review of Socioeconomic and Demographic Influences

Health disparities in general medicine are a critical concern, with socioeconomic and demographic factors such as income, education, race, gender, and geographic location contributing to unequal healthcare access, quality, and outcomes. This systematic review aims to assess how these factors influence health disparities in general medical settings. A comprehensive search was conducted across PubMed, Embase, and MEDLINE, focusing on studies published in the last decade that examined the role of socioeconomic and demographic variables in health outcomes within general healthcare. Forty studies met the inclusion criteria, including cohort and cross-sectional studies. Findings reveal significant health disparities associated with lower socioeconomic status, with low-income individuals facing higher morbidity and mortality risks and reduced access to preventive care. Racial and ethnic minorities frequently experience poorer health outcomes and encounter systemic biases in medical treatment, while rural populations report limited access to healthcare services. The review underscores the need for policy interventions to address structural inequalities in healthcare. Future research should focus on developing targeted interventions to mitigate health disparities across diverse populations and healthcare settings.

Neurofibromatosis Type 1 Patients With Epilepsy: A Comprehensive Analysis of Demographics, Comorbidities and Healthcare Outcomes.

Neurofibromatosis Type 1 (NF1) is the most common neurocutaneous disorder in the United States. Due to a nonfunctional mutation in the NF1 gene, the disorder may initially present with café-au-lait spots and later numerous neurofibromas across the body. Epilepsy is a rare comorbidity of NF1, with an incidence of just 4%-7%. While abnormal electroencephalograms have been seen in up to 25% of NF1 patients, very few studies have investigated the association between epilepsy and the NF1 patient profile. This study was aimed at evaluating the associations between epilepsy and demographics, comorbidities and healthcare outcomes in NF1 patients. The 2017 National Inpatient Sample (NIS) database was retrospectively queried for patients with NF1 using ICD-10 PCS codes. Chi-square tests were used in univariable analysis to compare patients within this cohort with and without epilepsy. Regression analysis was used in multivariable analysis to identify comorbidities that were predictors of epilepsy and the effect of comorbidities on outcomes. 4635 patients with NF1 were identified, of which 655 (14.1%) had epilepsy and 3980 (85.9%) did not. The NF1 patient population with epilepsy was largely comprised of White males of lower household income in larger urban/teaching hospitals and who used Medicare or Medicaid. Multivariable logistic regression revealed that malignant brain neoplasms, paralytic ileus, scoliosis, pregnancy complications, paralysis, other neurological disorders, metastatic cancer, coagulopathy, drug abuse and hypertension were predictors of developing epilepsy in NF1 patients. Additionally, epilepsy in NF1 patients was associated with a shorter length of stay, lower total charges and fewer total procedures.

THE EFFECT OF AI-DRIVEN INVENTORY MANAGEMENT SYSTEMS ON HEALTHCARE OUTCOMES AND SUPPLY CHAIN PERFORMANCE: A DATA-DRIVEN ANALYSIS

There has been much focus toward increasing integration of AI in healthcare generally, with a specific focus on inventory management systems in particular. As more hospitals in the United States public and private side face increasing costs and concerns over cost and length of operation all systems supporting inventory must be made most efficient and AI system offers the US hospitals the opportunity to maintain accurate inventory and hence improve the quality of patient care. But the literature review presents a small number of studies that focus on the effects of these systems as the means to improve healthcare results and organization. In this study, it is proposed that improving inventory management by actioning artificial intelligence in healthcare organizations will result in enhanced patient care and improved inventory accuracy, cost reduction and supply chain efficiency in the United States of America’s healthcare institutions. A cross-sectional, quantitative survey was administrated to 200 healthcare personnel and supply chain managers from different healthcare organizations based on hospitals, clinics and specialty medical centers of the USA. Sample design: Participants were purposefully chosen, who had prior exposure to the AI-induced systems or are aware about workflow of such systems. Respondents’ data was gathered via an online questionnaire and analyzed using SPSS: descriptive analysis, chi-square test, one-way ANOVA, correlation analysis, multiple regression analysis was used to establish the relationships of the study variables: AI systems, healthcare outcomes and supply chain performance. The results showed that the use of AI in inventory management systems enhances its accuracy in ordering order itself and overall patient care. Separate studies showed that where the management of a facility has deeper insight of the AI system then there will be more operations worked on to improve efficiency or cut costs. Adoption of these pathways among smaller providers including clinics and long-term care facilities was difficult, especially due to cost constraints. An analysis of the multiple regression equation showed that knowledge of AI improved the projection of potential healthcare outcome, creating greater worth and also increases the performance of supply chain. The outcomes of using AI based inventory management systems in the United States seem to have a lot of advantages that may help improve the efficacy of operations in the healthcare system. Issues such as funding and skills needed for implementation, especially in small healthcare organization, continue to slow the uptake of the technology. These existing problems may be solved if more focused investments in the development of comprehensive AI training or systematic solutions are given to enable the healthcare industry to reach the full potential of the application of artificial intelligence.

Simulation for Systems Integration: A Win-Win to Achieve Your Education, Quality, and Safety Goals.

Health care education is a cornerstone of clinical excellence, ensuring the highest level of readiness to achieve high-quality and safe care. Integrating simulation into health care systems can provide a modality to address educational, quality, and safety goals. Simulation is a methodology used to immerse individuals, teams, and medical systems into clinical scenarios or environments. Through facilitation and debriefing, the immersive experience can be used to provide vital education, develop optimal health care practices, and identify prospects for improvement. Simulation provides an opportunity to blend the needs of continuing multiprofessional education while addressing quality and safety goals, and ultimately, promoting a positive safety culture. Applied comprehensively, simulation for systems integration can both promote the transformation of the health care system into a learning organization, as well as translate to improved health care outcomes. [Pediatr Ann. 2024;53(11):e408-e413.].

Improving Healthcare Outcomes with Predictive Analytics: Machine Learning for Disease Prediction and Diagnosis

Improving Healthcare Outcomes with Predictive Analytics: Machine Learning for Disease Prediction and Diagnosis

Patient-reported observations on medical procedure timeliness (PROMPT) in breast cancer: a qualitative study.

Timeliness of care is an important healthcare outcome measure. The objective of this study was to explore patient perspectives on the timeliness of breast cancer diagnosis and treatment at accredited breast cancer centers. In this qualitative study, 1hour virtual interviews were conducted with participants 18-75years old who were diagnosed and treated for stage 0-III breast cancer at a National Accreditation Program for Breast Centers facility from 2018 to 2022. Thematic analysis was used to identify key themes of participant experiences. Twenty-eight participants were interviewed. Two thematic domains were identified: etiologies of expedited or delayed care and the impact of delayed or expedited care on patients. Within these domains, multiple themes emerged. For etiologies of expedited or delayed care, participants discussed (1) the effect of scheduling appointments, (2) the COVID-19 pandemic, (3) dissatisfaction with the timeline for various parts of the diagnostic workup, and (4) delays related to patient factors, including socioeconomic status. For the impact of expedited or delayed care, patients discussed (1) the emotional and mental impact of waiting, (2) the importance of communication and clear expectations, and (3) the impact of electronic health portals. Patients desired each care interval (e.g., the time from mammogram to breast biopsy) to be approximately 7days, with longer intervals sometimes preferred prior to surgery. These patient interviews identify areas of delay and provide patient-centered, actionable items to improve the timeliness of breast cancer care.

Enhancing nursing students' communication skills with deaf patients: Workshop impact on nursing education programs

BackgroundNursing students require education on effective communication with patients to fulfill their roles as future healthcare providers. Ensuring inclusive patient care requires addressing this educational gap. PurposeThis study assesses the impact of workshops on nursing students' communication strategies with Deaf and hard-of-hearing patients. MethodA cross-sectional survey was conducted among nursing students before and after participating in workshops conducted by Deaf instructors from the non-profit association Maagalei Shema. Data was collected from January 2023 to March 2024 and analyzed using SPSS software. FindingsResults indicate that the workshops significantly improved participants' communication strategies, with 82.48% reporting enhanced abilities post-workshop. The use of communication tools, including professional interpreters, increased following the workshops. DiscussionWorkshops offer an effective approach to enhancing healthcare workers' communication with Deaf and hard-of-hearing patients. These findings underscore the importance of incorporating experiential learning opportunities into nursing education to optimize patient interactions and improve healthcare outcomes.