RESUMO
Bochdalek hernias are a rare occurrence in adults and usually asymptomatic, resulting in incidental discovery. However, surgical intervention is recommended for both symptomatic and asymptomatic Bochdalek hernias due to the risk of acute morbidity and mortality. There are various possible surgical approaches that may be appropriate depending on the circumstance, with robotic repair becoming increasingly popular. To date, the rarity of the condition has limited the available data on postoperative outcomes.
Assuntos
Hérnias Diafragmáticas Congênitas , Herniorrafia , Humanos , Hérnias Diafragmáticas Congênitas/cirurgia , Hérnias Diafragmáticas Congênitas/complicações , Adulto , Herniorrafia/métodosRESUMO
Artificial intelligence (AI) is rapidly being introduced into the clinical workflow of many specialties. Despite the need to train physicians who understand the utility and implications of AI and mitigate a growing skills gap, no established consensus exists on how to best introduce AI concepts to medical students during preclinical training. This study examined the effectiveness of a pilot Digital Health Scholars (DHS) non-credit enrichment elective that paralleled the Dartmouth Geisel School of Medicine's first-year preclinical curriculum with a focus on introducing AI algorithms and their applications in the concurrently occurring systems-blocks. From September 2022 to March 2023, ten self-selected first-year students enrolled in the elective curriculum run in parallel with four existing curricular blocks (Immunology, Hematology, Cardiology, and Pulmonology). Each DHS block consisted of a journal club, a live-coding demonstration, and an integration session led by a researcher in that field. Students' confidence in explaining the content objectives (high-level knowledge, implications, and limitations of AI) was measured before and after each block and compared using Mann-Whitney U tests. Students reported significant increases in confidence in describing the content objectives after all four blocks (Immunology: U = 4.5, p = 0.030; Hematology: U = 1.0, p = 0.009; Cardiology: U = 4.0, p = 0.019; Pulmonology: U = 4.0, p = 0.030) as well as an average overall satisfaction level of 4.29/5 in rating the curriculum content. Our study demonstrates that a digital health enrichment elective that runs in parallel to an institution's preclinical curriculum and embeds AI concepts into relevant clinical topics can enhance students' confidence in describing the content objectives that pertain to high-level algorithmic understanding, implications, and limitations of the studied models. Building on this elective curricular design, further studies with a larger enrollment can help determine the most effective approach in preparing future physicians for the AI-enhanced clinical workflow.
Assuntos
Inteligência Artificial , Estudantes de Medicina , Humanos , Projetos Piloto , Currículo , Atenção à SaúdeRESUMO
Rural and racial/ethnic minority communities experience higher risk and mortality from lung cancer. Lung cancer screening with low-dose computed tomography reduces mortality. However, disparities persist in the uptake of lung cancer screening, especially in marginalized communities. Barriers to lung cancer screening are multilevel and include patient, provider, and system-level barriers. This discussion highlights the key barriers faced by rural and racial/ethnic minority communities.
Assuntos
Etnicidade , Neoplasias Pulmonares , Humanos , Neoplasias Pulmonares/diagnóstico por imagem , Grupos Minoritários , Acessibilidade aos Serviços de Saúde , Detecção Precoce de Câncer , Programas de RastreamentoRESUMO
Although lung cancer claims more lives than any other cancer in the United States, screening is severely underutilized, with <6% of eligible patients screened nationally in 2021 versus 76% for breast cancer and 67% for colorectal cancer. This article describes an effort to identify key reasons for the underutilization of lung cancer screening in a rural population and to develop interventions to address these barriers suitable for both a large health system and local community clinics. Data were generated from 26 stakeholder interviews (clinicians, clinical staff, and eligible patients), a review of key systems (Electronic Health Record and billing records), and feedback on the feasibility of several potential interventions by health care system staff. These data informed a human-centered design approach to identify possible interventions within a complex health care system by exposing gaps in care processes and electronic health record platforms that can lead patients to be overlooked for potentially life-saving screening. Deployed interventions included communication efforts focused on (1) increasing patient awareness, (2) improving physician patient identification, and (3) supporting patient management. Preliminary outcomes are discussed.