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Phenotyping algorithms are capable of accurately identifying patients with specific phenotypes from within electronic medical records systems. However, developing phenotyping algorithms in a scalable way remains a challenge due to the extensive human resources required. This paper introduces a high-throughput unsupervised feature selection method, which improves the robustness and scalability of electronic medical record phenotyping without compromising its accuracy.

The goal of this investigation was to determine whether automated approaches can learn patient-oriented care teams via utilization of an electronic medical record (EMR) system.

To determine the effect of availability of clinical information from an integrated electronic health record system on pregnancy outcomes at the point of care.

The goal of this study was to develop a practical framework for recognizing and disambiguating clinical abbreviations, thereby improving current clinical natural language processing (NLP) systems' capability to handle abbreviations in clinical narratives.

The field of biomedical informatics experienced a productive 2015 in terms of research. In order to highlight the accomplishments of that research, elicit trends, and identify shortcomings at a macro level, a 19-person team conducted an extensive review of the literature in clinical and consumer informatics. The result of this process included a year-in-review presentation at the American Medical Informatics Association Annual Symposium and a written report (see supplemental data) [...]

We examined the acceptability and effects of delivering doctors' visit notes electronically (via OpenNotes) to patients and care partners with authorized access to patients' electronic medical records. Adult patients and care partners at Geisinger Health System were surveyed at baseline and after 12 months of exposure to OpenNotes. Reporting on care partner access to OpenNotes, patients and care partners stated that they had better agreement about patient treatment plans and [...]

Clinical guidelines recommending the use of myeloid growth factors are largely based on the prescribed chemotherapy regimen. The guidelines suggest that oncologists consider patient-specific characteristics when prescribing granulocyte-colony stimulating factor (G-CSF) prophylaxis; however, a mechanism to quantify individual patient risk is lacking. Readily available electronic health record (EHR) data can provide patient-specific information needed for individualized neutropenia risk estimation. An evidence-based, individualized neutropenia risk estimation algorithm has been developed. This [...]

Currently, there are few resources for electronic health record (EHR) purchasers and end users to understand the usability processes employed by EHR vendors during product design and development. We developed a framework, based on human factors literature and industry standards, to systematically evaluate the user-centered design processes and usability testing methods used by EHR vendors.

Monitoring the supervision of residents can be a challenging task. We describe our experience with the implementation of a templated note system for documenting procedures with the aim of enabling automated, discrete, and standardized capture of documentation of supervision of residents performing floor-based procedures, with minimal extra effort from the residents.

To describe the usage of a novel application (The FLOW) that allows mobile devices to be used for rounding and handoffs.