Towards Reducing Diagnostic Errors with Interpretable Risk Prediction.

Many diagnostic errors occur because clinicians cannot easily access relevant information in patient Electronic Health Records (EHRs). In this work we propose a method to use LLMs to identify pieces of evidence in patient EHR data that indicate increased or decreased risk of specific diagnoses; our ultimate aim is to increase access to evidence and reduce diagnostic errors. In particular, we propose a Neural Additive Model to make predictions backed by evidence with individualized risk estimates at time-points where clinicians are still uncertain, aiming to specifically mitigate delays in diagnosis and errors stemming from an incomplete differential.

Research priorities for progressive pulmonary fibrosis in the UK.

Introduction: Health research bodies recommend patient involvement and engagement in research and healthcare planning, although their implementation is not yet widespread. This deficiency extends to progressive pulmonary fibrosis (PPF), where crucial aspects remain unknown, including causal mechanisms, curative treatments and optimal symptom management. This study addresses these gaps by seeking stakeholders' perspectives to guide research and treatment directions.

Does engagement matter? The impact of patient and community engagement on implementation of cardiovascular health materials in primary care settings.

Background: Engaging patients and community members in healthcare implementation, research and evaluation has become more popular over the past two decades. Despite the growing interest in patient engagement, there is scant evidence of its impact and importance. Boot Camp Translation (BCT) is one evidence-based method of engaging communities in research.

Postresidency Practice Setting and Clinical Care Features According to 3 Versus 4 Years of Training in Family Medicine: A Length of Training Pilot Study.

Background And Objectives: Factors associated with physician practice choice include residency location, training experiences, and financial incentives. How length of training affects practice setting and clinical care features postgraduation is unknown.

Methods: In this Length of Training Pilot (LoTP) study, we surveyed 366 graduates of 3-year (3YR) and 434 graduates of 4-year (4YR) programs 1 year after completion of training between 2013 and 2021.

Behavioral health integration and specialty medical care: Opportunities for applying knowledge from primary care integration.

While education and advocacy regarding behavioral health (BH) integration in primary care have been in full force at the state and national level for many years, specialty care BH integration has not received the same attention in terms of practice transformation, workforce development, and payment reform. Models of BH care have been tested in primary care and can be easily adapted to improve specialty patient care. There are many opportunities for using the knowledge base gained from integrated primary care to help move integration forward in the specialty medical setting.