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Given the strong push to empower patients and make them partners in their health care, we evaluated the current capability of hospitals to offer health information technology that facilitates patient engagement (PE).

In 2016, Singapore grappled with one of the largest Zika outbreaks in Southeast Asia. This study examines the use of Facebook for Zika-related outreach by the Ministry of Health (MOH) and the National Environmental Agency (NEA) from March 1, 2015, to September 1, 2016, and public response to this effort. Despite nearly equivalent outreach, MOH's Facebook posts received more likes (µ = 3.49) and shares (µ = 30.11), whereas NEA's posts received more comments [...]

We provide an e-Science perspective on the workflow from risk factor discovery and classification of disease to evaluation of personalized intervention programs. As case studies, we use personalized prostate and breast cancer screenings.

Widespread application of clinical natural language processing (NLP) systems requires taking existing NLP systems and adapting them to diverse and heterogeneous settings. We describe the challenges faced and lessons learned in adapting an existing NLP system for measuring colonoscopy quality.

The purpose of this systematic review and meta-analysis was to examine the effect of health information technology (HIT) diabetes self-management education (DSME) interventions on glycemic control in medically underserved patients.

Faced with national requirements to promote antimicrobial stewardship and reduce drug-resistant infections, community hospitals are challenged to make the best use of existing resources. Eighteen months after building antibiotic decision support into our electronic order platform, high-risk antibiotic use decreased by 83% (P < .001) at our community hospital. Hospital-acquired Clostridium difficile infections declined 24% (P = .07).

Identify and describe information needs and associated goals of physicians, care coordinators, and families related to coordinating care for medically complex children and youth with special health care needs (CYSHCN).

As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a system is needed to aid FDA safety evaluators in identifying reports most likely to demonstrate causal relationships to the suspect medications. We combined text mining with machine learning to construct and evaluate such a system to identify medication-related adverse event reports.

US health care institutions are implementing secure websites (patient portals) to achieve federal Meaningful Use (MU) certification. We sought to understand efforts to implement portals in "safety net" health care systems that provide services for low-income populations.

While great progress has been made in digitizing the US health care system, today's health information technology (IT) infrastructure remains largely a collection of systems that are not designed to support a transition to value-based care. In addition, the pursuit of value-based care, in which we deliver better care with better outcomes at lower cost, places new demands on the health care system that our IT infrastructure needs to be [...]