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We report on using electronic health records (EHRs) and other health information technology (IT) (eg, REDCap, Excel, and population-health tools) for tracking patients and managing interventions to improve colorectal screening (CRC) among primary care practices who participated in the National Cancer Institute's Accelerating Colorectal Cancer Screening and Follow-up through Implementation Science (ACCSIS) program.

Enabling the unambiguous communication of cancer genetic testing results and the corresponding therapeutic implications of identified genetic variants is of major clinical importance. In this report, we assess the adequacy of the Health Level Seven Fast Healthcare Interoperability Resources (FHIR) Genomics Reporting Implementation Guide, version 3 (also known as "FHIR Genomics") for the structured communication of semantic objects typically appearing in real-world somatic testing reports.

To describe the development and early implementation of the Digital Health Equity & Literacy Program (D-HELP), a student-led quality improvement initiative to promote digital health engagement in the emergency department (ED).

Clinical practice guidelines (CPGs) provide evidence-based recommendations for patient care; however, integrating them into artificial intelligence (AI) remains challenging. Previous approaches, such as rule-based systems or black-box AI models, face significant limitations, including poor interpretability, inconsistent adherence to guidelines, and narrow domain applicability. To address this, we develop and validate CPGPrompt, an auto-prompting system that converts narrative clinical guidelines into large language models (LLMs).

Temporal drift, defined as changes over time in underlying data distributions, can degrade the performance of clinical prediction models. In head and neck cancer (HNC) radiotherapy, evolving proton and carbon ion therapies may shift the risk of oral mucositis over time. This study aimed to compare machine learning (ML) strategies for mitigating temporal drift in predicting grade ≥2 oral mucositis among patients treated with particle therapy.

This study aimed to evaluate how differences in case complexity affect information-processing burden, as measured by eye-tracking, as well as the efficiency of electronic health record (EHR) use among healthcare providers in the intensive care unit.

Hybrid in-person and telehealth work environments are now common among health care providers. When in-person and telehealth services are not well integrated, provider workload could increase, negatively affecting provider satisfaction and burnout and hindering implementation of interventions aimed at improving quality. A lack of measures of telehealth integration has hindered studies of such impacts. This article presents the Integration of Telehealth and In-Person Services (ITIPS) survey, developed to assess telehealth [...]

Understand the qualitative impact of an ambient artificial intelligence (AI) documentation platform on clinicians' experiences and workflows.