RESUMO
The Quintuple Aim seeks to improve healthcare by addressing social determinants of health (SDOHs), which are responsible for 70-80% of medical outcomes. SDOH-related concerns have traditionally been addressed through referrals to social workers and community-based organizations (CBOs), but these pathways have had limited success in connecting patients with resources. Given that health inequity is expected to cost the United States nearly USD 300 billion by 2050, new artificial intelligence (AI) technology may aid providers in addressing SDOH. In this commentary, we present our experience with using ChatGPT to obtain SDOH management recommendations for archetypal patients in Philadelphia, PA. ChatGPT identified relevant SDOH resources and provided contact information for local organizations. Future exploration could improve AI prompts and integrate AI into electronic medical records to provide healthcare providers with real-time SDOH recommendations during appointments.
Assuntos
Inteligência Artificial , Determinantes Sociais da Saúde , Humanos , Philadelphia , Atenção à Saúde/organização & administraçãoRESUMO
The US health care system has significant room for growth to achieve the Quintuple Aim. Reforming the relationship between payers and providers is pivotal to enhancing value-based care (VBC). The Payvider model, a joint approach to care and coverage rooted in vertical integration, is a potential solution. The authors aimed to investigate academic medical institutions adopting this model, termed Academic Payviders. All Association of American Medical Colleges (AAMC)-member allopathic medical schools were evaluated to identify programs meeting the inclusion criteria of offering both medical care and insurance coverage to patients via partnership with a payer or ownership of, or by, a payer. Twenty-five Academic Payvider systems were identified from 171 total AAMC-member programs. Most programs were founded after 2009 (n = 20), utilized a provider-dominant structural model (n = 17), and offered health plans to patients via Medicare Advantage (n = 23). Passage of the Affordable Care Act, recent trends in health care consolidation, and increased political and financial prioritization of social determinants of health (SDOH) may help to explain the rise of this care and coverage model. The Academic Payvider movement could advance academic medicine toward greater acceptance of VBC via innovations in medical education, resource stewardship in residency, and the establishment of innovative leadership positions at the administrative level.
Assuntos
Centros Médicos Acadêmicos , Humanos , Estados Unidos , Cobertura do Seguro/estatística & dados numéricos , Patient Protection and Affordable Care ActRESUMO
Physician burnout has demonstrated risks to providers and patients through medical errors. This review aims to synthesize current data surrounding burnout and its impacts on quality to inform targeted interventions that benefit providers and patients. Preferred Reporting Items for Systematic Reviews and Meta-Analyses scoping review methodology was utilized to identify studies of quantitative metrics for burnout and medical errors. Three independent reviewers conducted screening, study selection, and data extraction. Of 1096 identified articles, 21 were analyzed. Overall, 80.9% used the Maslach Burnout Inventory to evaluate for burnout. Moreover, 71.4% used self-reported medical errors as their primary outcome measure. Other outcome measures included observed/identified clinical practice errors and medication errors. Ultimately, 14 of 21 studies found links between burnout and clinically significant errors. Significant associations exist between burnout and medical errors. Physician demographics, including psychological factors, well-being, and training level, modulate this relationship. Better metrics are necessary to quantify errors and their impacts on outcomes. These findings may inform novel interventions that target burnout and improve experiences.
Assuntos
Esgotamento Psicológico , Médicos , Humanos , Erros Médicos , Erros de Medicação , BenchmarkingRESUMO
INTRODUCTION: Wallis et al (JAMA 2017) demonstrated use of antithrombotic medications (ATMs) is associated with increased prevalence of hematuria-related complications and subsequent bladder cancer diagnosis within 6 months. Stage of diagnosis was lacking in this highly publicized study. This study examined the association of ATM use on bladder cancer stage at the time of diagnosis. MATERIALS AND METHODS: We completed a retrospective chart review of patients with a bladder cancer diagnosis at our institution. Patient demographics and bladder cancer work up information were assessed. Patients were stratified based on use of ATMs at time diagnosis. Descriptive statistics were completed to identify association between ATM use and stage of bladder cancer diagnosis, as stratified by non-muscle invasive bladder cancer (NMIBC) versus muscle invasive bladder cancer (MIBC). RESULTS: A total of 1052 patient charts were reviewed. Eight hundred and forty-four were included and 208 excluded due to unavailability of diagnosis history. At diagnosis, 357 (42.3%) patients were taking ATMs. Patients on ATMs presented with NMIBC at similar rates as patients not taking ATMs (81.2% vs. 77.8%, p = 0.23). Subgroup analysis by ATM class similarly demonstrated no statistically significant differences in staging. CONCLUSION: While Wallis et al established that patients on blood thinners who present with hematuria are more likely to be diagnosed with genitourinary pathology, this factor does not appear to enable an earlier diagnosis of bladder cancer. Future study may assess hematuria at presentation (gross, microscopic), type of blood thinners, and low versus high risk NMIBC presentation.