Efficacy of personalized models in discriminating high cognitive demand conditions using text-based interactions.

Although high cognitive demand conditions can impair psychological, physical, and behavioral processes without appropriate management, current measurement methods are too cumbersome for continuous monitoring of cognitive demand, and do not account for individual differences. This research uses keystroke and linguistic markers of typed text to construct individualized models of cognitive demand response to discriminate high and low cognitive demand conditions, the results of which can have implications for design of cognitive demand monitoring systems for personalized health management. We constructed within-subject models of cognitive demand response for nine participants and one between-subjects model based on 20 participants.

Classifying Text-Based Computer Interactions for Health Monitoring.

Using a statistical model of keystroke and linguistic features, a novel assessment approach leverages ordinary text-typing activities to monitor for signs of early cognitive decline in older adults. Early detection could allow for appropriate interventions and effective treatment.

Prospective tracking of a pediatric emergency department e-kiosk to deliver asthma education.

The study objective was to describe the prospective use of an interactive Patient Education and Motivation Tool (PEMT) placed within a pediatric emergency department (ED). A touch screen computer was utilized to deliver asthma education to children and their parents/guardians during their acute asthma visit between November 2006 and April 2007. Ninety-nine participants were enrolled in this prospective non-randomized pre-post study.

Usability of a patient education and motivation tool using heuristic evaluation.

Background: Computer-mediated educational applications can provide a self-paced, interactive environment to deliver educational content to individuals about their health condition. These programs have been used to deliver health-related information about a variety of topics, including breast cancer screening, asthma management, and injury prevention. We have designed the Patient Education and Motivation Tool (PEMT), an interactive computer-based educational program based on behavioral, cognitive, and humanistic learning theories.

A review and a framework of handheld computer adoption in healthcare.

Wide adoption of mobile computing technology can potentially improve information access, enhance workflow, and promote evidence-based practice to make informed and effective decisions at the point of care. Handheld computers or personal digital assistants (PDAs) offer portable and unobtrusive access to clinical data and relevant information at the point of care. This article reviews the literature on issues related to adoption of PDAs in health care and barriers to PDA adoption.

Why don't physicians use their personal digital assistants?

As the Personal Digital Assistant (PDA) user population continues to expand, there is a need to design more useful devices and applications to facilitate the utilization of PDAs. We conducted a structured interview study to examine PDA usage and non-usage patterns among physicians. The purpose of this descriptive study was to identify the barriers that impede physicians in their PDA use.