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Computing patients' similarity is of great interest in precision oncology since it supports clustering and subgroup identification, eventually leading to tailored therapies. The availability of large amounts of biomedical data, characterized by large feature sets and sparse content, motivates the development of new methods to compute patient similarities able to fuse heterogeneous data sources with the available knowledge.

The growing availability of rich clinical data such as patients' electronic health records provide great opportunities to address a broad range of real-world questions in medicine. At the same time, artificial intelligence and machine learning (ML)-based approaches have shown great premise on extracting insights from those data and helping with various clinical problems. The goal of this study is to conduct a systematic comparative study of different ML algorithms for [...]

With health care policy directives advancing value-based care, risk assessments and management have permeated health care discourse. The conventional problem-based infrastructure defines what data are employed to build this discourse and how it unfolds. Such a health care model tends to bias data for risk assessment and risk management toward problems and does not capture data about health assets or strengths. The purpose of this article is to explore and [...]

To demonstrate the feasibility of pragmatic clinical trials comparing the effectiveness of treatments using the electronic medical record (EMR) and an adaptive assignment design.

To determine the prevalence of initiating the sepsis 3-h bundle of care and estimate effects of bundle completion on risk-adjusted mortality among emergency department (ED) patients screened-in by electronic surveillance.

Consistent with the OpenNotes movement, the Veterans Health Administration (VHA) offers patients online access to their clinical notes through the Blue Button feature in its electronic patient health portal, My HealtheVet. We identified demographic, diagnostic, and knowledge-related predictors of viewing clinical notes among veterans receiving VHA mental health care who recently used My HealtheVet.

Our objectives were to measure experts' opinions and develop consensus via the Delphi process on the barriers, applications, and concerns associated with telemental health (TMH) for youth.

Electronic health records (EHRs) in physician offices can both enhance and detract from the patient experience. Best practices have emerged focusing on screen sharing. We sought to determine if adding a second monitor, mirroring the EHR for patients, would be welcome and useful for patients and clinicians.

To analyze literature-based data from PubMed to identify diseases and medications that have frequently been studied with major depressive disorder (MDD).

The Common Formats, published by the Agency for Healthcare Research and Quality, represent a standard for safety event reporting used by Patient Safety Organizations (PSOs). We evaluated its ability to capture patient-reported safety events.