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The aim of this work is to leverage relational information extracted from biomedical literature using a novel synthesis of unsupervised pretraining, representational composition, and supervised machine learning for drug safety monitoring.

To develop and test a visual analytics tool to help clinicians identify systematic and clinically meaningful patterns in patient-generated data (PGD) while decreasing perceived information overload.

Location data are becoming easier to obtain and are now bundled with other metadata in a variety of biomedical research applications. At the same time, the level of sophistication required to protect patient privacy is also increasing. In this article, we provide guidance for institutional review boards (IRBs) to make informed decisions about privacy protections in protocols involving location data. We provide an overview of some of the major categories [...]

We executed the Social Media Mining for Health (SMM4H) 2017 shared tasks to enable the community-driven development and large-scale evaluation of automatic text processing methods for the classification and normalization of health-related text from social media. An additional objective was to publicly release manually annotated data.

It is unclear to what extent simulated versions of real data can be used to assess potential value of new biomarkers added to prognostic risk models. Using data on 4522 women and 3969 men who contributed information to the Framingham CVD risk prediction tool, we develop a simulation model that allows assessment of the added contribution of new biomarkers. The simulated model matches closely the one obtained using real data [...]

Online peer support groups are an increasingly common venue for caregivers supporting disabled family members to exchange informational, emotional, and instrumental support. We know very little, however, about who uses these groups and whether they are reaching those with the greatest needs.

Horizontal consolidation in the hospital industry has gained momentum in the United States despite concerns over rising costs and lower quality. Hospital systems frequently point to potential gains in interoperability and electronic exchange of patient information as consolidation benefits. We sought to assess whether hospitals in different health system structures varied in their interoperable data sharing.

To study the association between Electronic Health Record (EHR)/Computerized Physician Order Entry (CPOE) provider price display, and domains of healthcare quality (efficiency, effective care, patient centered care, patient safety, equitable care, and timeliness of care).

The objective was to prospectively derive and validate a prediction rule for detecting cases warranting investigation for surgical site infections (SSI) after ambulatory surgery.

To evaluate provider responses to a narrowly targeted "Best Practice Advisory" (BPA) alert for the intensification of blood pressure medications for persons with diabetes before and after implementation of a "chart closure" hard stop, which is non-interruptive but demands an action or dismissal before the chart can be closed.