Search AMIA.org

The identification of key factors influencing responses to prompts and reminders within a computer decision support system (CDSS) has not been widely studied. The aim of this study was to evaluate why clinicians routinely answer certain prompts while others are ignored.

This paper aims to present the archetype modelling process used for the Health Department of Minas Gerais State, Brazil (SES/MG), to support building its regional EHR system, and the lessons learned during this process.

Health information exchange is a national priority, but there is limited evidence of its effectiveness.

Just as researchers and clinicians struggle to pin down the benefits attendant to health information technology (IT), management scholars have long labored to identify the performance effects arising from new technologies and from other organizational innovations, namely the reorganization of work and the devolution of decision-making authority. This paper applies lessons from that literature to theorize the likely sources of measurement error that yield the weak statistical relationship between measures [...]

Employing new health information technologies while concurrently providing quality patient care and reducing risk is a major challenge in all health care sectors. In this study, we investigated the usability gaps in the Emergency Department Information System (EDIS) as ten nurses differentiated by two experience levels, namely six expert nurses and four novice nurses, completed two lists of nine scenario-based tasks.

Frail older inpatients are at risk of unintended adverse events while in hospital, particularly falls, functional decline, delirium and incontinence.

Clinical communication is recognized as a major source of errors in hospitals. The lack of documentation of communication, especially among verbal interactions, often creates hindrances and impedes improvement efforts. By providing smartphones to residents and encouraging nurses to communicate with residents by email shifted much of the communication to emails which permitted analysis of content.

This paper reports on work carried out to elicit information needs at a trans-disciplinary, nurse-managed health care clinic that serves a medically disadvantaged urban population. The trans-disciplinary model provides a "one-stop shop" for patients who can receive a wide range of services beyond traditional primary care. However, this model of health care presents knowledge sharing challenges because little is known about how data collected from the non-traditional services can be [...]

BACKGROUND: Public health nurse (PHN) home visiting programs have been widely employed to improve life course trajectories for high risk mothers. Home visiting programs are often lengthy, during which PHNs simultaneously address multiple problems using diverse interventions over several client encounters. To manage PHN caseloads it is critical to understand the trajectory of client improvement and the optimal duration or services. PHN documentation data enable intervention trajectory research for specific [...]