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To research computational methods for discovering body site and severity modifiers in clinical texts.

In an effort to standardize behavioral measures and their data representation, the present study develops a methodology for incorporating measures found in the National Cancer Institute's (NCI) grid-enabled measures (GEM) portal, a repository for behavioral and social measures, into the cancer data standards registry and repository (caDSR).

Providing patients with access to their medical data is widely expected to help educate and empower them to manage their own health. Health information exchange (HIE) infrastructures could potentially help patients access records across multiple healthcare providers. We studied three HIE organizations as they developed portals to give consumers access to HIE data previously exchanged only among healthcare organizations.

Common chronic diseases such as hypertension are costly and difficult to manage. Our ultimate goal is to use data from electronic health records to predict the risk and timing of deterioration in hypertension control. Towards this goal, this work predicts the transition points at which hypertension is brought into, as well as pushed out of, control.

The objective was to develop non-invasive predictive models for late-onset neonatal sepsis from off-the-shelf medical data and electronic medical records (EMR).

To extract disorder-associated genes from the scientific literature in PubMed with greater sensitivity for literature-based support than existing methods.

Recently, an important public debate emerged about the digital afterlife of any personal data stored in the cloud. Such debate brings also to attention the importance of transparent management of electronic health record (EHR) data of deceased patients. In this perspective paper, we look at legal and regulatory policies for EHR data post mortem. We analyze observational research situations using EHR data that do not require institutional review board approval [...]

To develop a decision support system to identify patients at high risk for hyperlactatemia based upon routinely measured vital signs and laboratory studies.

Errors in community medication histories increase the risk of adverse events. The objectives of this study were to estimate the extent to which access to community-based pharmacy records provided more information about prescription drug use than conventional medication histories.