Presentation of the 2006 Morris F. Collen Award to Edward H.(Ted) Shortliffe.
Author(s): Greenes, Robert A, Buchanan, Bruce G, Ellison, Donald
DOI: 10.1197/jamia.m2374
Author(s): Greenes, Robert A, Buchanan, Bruce G, Ellison, Donald
DOI: 10.1197/jamia.m2374
This paper provides a systematic literature review of CPOE evaluation studies in the outpatient setting on: safety; cost and efficiency; adherence to guideline; alerts; time; and satisfaction, usage, and usability. Thirty articles with original data (randomized clinical trial, non-randomized clinical trial, or observational study designs) met the inclusion criteria. Only four studies assessed the effect of CPOE on safety. The effect was not significant on the number of adverse drug [...]
Author(s): Eslami, Saeid, Abu-Hanna, Ameen, de Keizer, Nicolette F
DOI: 10.1197/jamia.M2238
Approximately 25% of all general dentists practicing in the United States use a computer in the dental operatory. Only 1.8% maintain completely electronic records. Anecdotal evidence suggests that dental computer-based patient records (CPR) do not represent clinical information with the same degree of completeness and fidelity as paper records. The objective of this study was to develop a basic content model for clinical information in paper-based records and examine its [...]
Author(s): Schleyer, Titus, Spallek, Heiko, Hernández, Pedro
DOI: 10.1197/jamia.M2335
This study sought to develop a functional taxonomy of rule-based clinical decision support.
Author(s): Wright, Adam, Goldberg, Howard, Hongsermeier, Tonya, Middleton, Blackford
DOI: 10.1197/jamia.M2364
Computerized provider order entry (CPOE) systems can help hospitals improve health care quality, but they can also introduce new problems. The extent to which hospitals experience unintended consequences of CPOE, which include more than errors, has not been quantified in prior research.
Author(s): Ash, Joan S, Sittig, Dean F, Poon, Eric G, Guappone, Kenneth, Campbell, Emily, Dykstra, Richard H
DOI: 10.1197/jamia.M2373
The use of health information technology (HIT) for the support of communication processes and data and information access in acute care settings is a relatively new phenomenon. A means of evaluating the impact of HIT in hospital settings is needed. The purpose of this research was to design and psychometrically evaluate the Impact of Health Information Technology scale (I-HIT). I-HIT was designed to measure the perception of nurses regarding the [...]
Author(s): Dykes, Patricia C, Hurley, Ann, Cashen, Margaret, Bakken, Suzanne, Duffy, Mary E
DOI: 10.1197/jamia.M2367
Author(s): Brennan, Patricia Flatley
DOI: 10.1197/jamia.m2303
To evaluate the data quality of ventilator settings recorded by respiratory therapists using a computer charting application and assess the impact of incorrect data on computerized ventilator management protocols. DESIGN An analysis of 29,054 charting events gathered over 12 months from 678 ventilated patients (1,736 ventilator days) in four intensive care units at a tertiary care hospital.
Author(s): Vawdrey, David K, Gardner, Reed M, Evans, R Scott, Orme, James F, Clemmer, Terry P, Greenway, Loren, Drews, Frank A
DOI: 10.1197/jamia.M2219
Few instruments are available to measure the performance of intensive care unit (ICU) clinical information systems. Our objectives were: 1) to develop a survey-based metric that assesses the automation and usability of an ICU's clinical information system; 2) to determine whether higher scores on this instrument correlate with improved outcomes in a multi-institution quality improvement collaborative.
Author(s): Amarasingham, Ruben, Pronovost, Peter J, Diener-West, Marie, Goeschel, Christine, Dorman, Todd, Thiemann, David R, Powe, Neil R
DOI: 10.1197/jamia.M2262
Negation is common in clinical documents and is an important source of poor precision in automated indexing systems. Previous research has shown that negated terms may be difficult to identify if the words implying negations (negation signals) are more than a few words away from them. We describe a novel hybrid approach, combining regular expression matching with grammatical parsing, to address the above limitation in automatically detecting negations in clinical [...]
Author(s): Huang, Yang, Lowe, Henry J
DOI: 10.1197/jamia.M2284