Research Topics
| Gregory L AlexanderSummaryAffiliation: University of Missouri Country: USA Publications
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Detail Information
Publications
Passive sensor technology interface to assess elder activity in independent livingGregory L Alexander
Sinclair School of Nursing, University of Missouri, Columbia, MO 65211, USA
Nurs Res 60:318-25. 2011..The effectiveness of clinical information systems to improve nursing and patient outcomes depends on human factors, including system usability, organizational workflow, and user satisfaction...
Information technology sophistication in nursing homesGregory L Alexander
Sinclair School of Nursing, University of Missouri, Columbia, MO 65101, USA
J Am Med Dir Assoc 10:398-407. 2009..The purpose of this study was to explore the concept of IT sophistication in nursing homes considering the level of technological diversity, maturity and level of integration in resident care, clinical support, and administration...
A systematic review of the designs of clinical technology: findings and recommendations for future researchGreg Alexander
Sinclair School of Nursing, University of Missouri, Columbia, MO 65211, USA
ANS Adv Nurs Sci 32:252-79. 2009..Current research ranges across many interface types examined with no apparent pattern or obvious rationale. Future research should expand types, settings, and participants; integrate displays; and expand outcome variables...
IT sophistication and quality measures in nursing homesGregory L Alexander
Sinclair School of Nursing, University of Missouri, Columbia, S415, Columbia, MO 65211, USA
J Gerontol Nurs 35:22-7. 2009..Correlating IT sophistication with quality is important to determine whether IT implementation provides clinical benefits to residents...
An analysis of human motion detection systems use during elder exercise routinesGregory L Alexander
Sinclair School of Nursing, University of Missouri, S415, Columbia, MO 65211, USA
West J Nurs Res 32:233-49. 2010..Users want better image quality, when expectations are matched satisfaction increases, and unclear meaning of motion measures decreases satisfaction...
A regional assessment of information technology sophistication in Missouri nursing homesGregory L Alexander
Sinclair School of Nursing, University of Missouri, Columbia, MO 65211, USA
Policy Polit Nurs Pract 11:214-25. 2010..To provide a state profile of information technology (IT) sophistication in Missouri nursing homes...
Building on a national health information technology strategic plan for long-term and post-acute care: comments by the Long Term Post Acute Care Health Information Technology CollaborativeGregory L Alexander
Alliance for Nursing Informatics, Chicago, Illinois, USA
J Gerontol Nurs 37:23-5. 2011..The following brief is intended to inform about recommendations and comments made by the Collaborative on the strategic plan...
An analysis of nursing home quality measures and staffingGregory L Alexander
Sinclair School of Nursing, University of Missouri, Columbia, MO 65211, USA
Qual Manag Health Care 17:242-51. 2008..The aim was to determine whether differences in QM scores occurred with changing staffing-level mix...
Analysis of an integrated clinical decision support system in nursing home clinical information systemsGregory L Alexander
Sinclair School of Nursing, University of Missouri, Columbia, Missouri 65211, USA
J Gerontol Nurs 34:15-20. 2008..Health care leaders face challenges constructing an implementation strategy that addresses usability, ensures accuracy, and guides users to critical information about residents...
Clinical information systems in nursing homes: an evaluation of initial implementation strategiesGregory L Alexander
Sinclair School of Nursing, University of Missouri, Columbia, MO 65211 4380, USA
Comput Inform Nurs 25:189-97. 2007..Findings will be useful to administrators and policy makers who are contemplating implementation of a clinical information system...
Issues of trust and ethics in computerized clinical decision support systemsGregory L Alexander
University of Missouri, Sinclair School of Nursing, Columbia, MO 65211, USA
Nurs Adm Q 30:21-9. 2006..Issues of trust and ethical concerns will be examined in this article, using a research study of midwestern nursing homes that implemented a clinical decision support system...
Sensor systems for monitoring functional status in assisted living facility residentsGregory L Alexander
Sinclair School of Nursing, University of Missouri, Columbia, Missouri 65211, USA
Res Gerontol Nurs 1:238-44. 2008..Through the use of a sensor system, new ways of detecting functional decline in elderly residents of assisted living facilities can be accomplished...
Automated technology to speed recognition of signs of illness in older adultsMarilyn J Rantz
Sinclair School of Nursing, University of Missouri, Columbia, MO, USA
J Gerontol Nurs 38:18-23. 2012..05). Technological methods such as these could be widely adopted in older adult housing, long-term care settings, and in private homes where older adults wish to remain independent for as long as possible...
Emergent trend detection in diurnal activityIsaac J Sledge
Electrical and Computer Engineering Department, University of Missouri, Columbia, MO 65211, USA
Conf Proc IEEE Eng Med Biol Soc 2008:3815-8. 2008..To surmount this shortcoming, we establish a framework for recognizing temporal trends in feature data extracted from passive sensors...
The nurse-patient trajectory frameworkGregory L Alexander
Sinclair School of Nursing, University of Missouri Columbia, USA
Stud Health Technol Inform 129:910-4. 2007..The framework is visualized along two separate and distinct nurse and patient trajectories...
Marginalization and health geomaticsGregory L Alexander
Department of Health Management and Informatics, University of Missouri, Columbia, MO 65211, USA
J Biomed Inform 36:400-7. 2003....
A descriptive analysis of a nursing home clinical information system with decision supportGregory L Alexander
Sinclair School of Nursing at University of Missouri in Columbia, MO, USA
Perspect Health Inf Manag 5:12. 2008..The proportion of triggers used for each active alert in each alert category is described across resident diagnoses within the nursing home decision support system during six months of data collection...
