failure
Karsh B et al, J Am Med Inform Assoc, 17(6)
Current research suggests that the rate of adoption of health information technology (HIT) is low, and that HIT may not have the touted beneficial effects on quality of care or costs. The twin issues of the failure of HIT adoption and of HIT efficacy stem primarily from a series of fallacies about HIT.
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24 October 2010 | No Comments »
Categories: Bibliography, Journal Article | Keyword(s): Adoption, Design, Efficacy, Failure, Health Information Technology, Implementation
Ball MJ et al, Methods of Information in Medicine, 47(1)
OBJECTIVE:
To discuss why clinical information systems are failing.
METHOD:
Subjectively analyzing the development of clinical IT systems during the last decades.
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25 July 2010 | No Comments »
Categories: Journal Article | Keyword(s): Failure, Health Information Systems, Point-of-Care Systems, Technology, United States
Heyman J. The Journal of Law, Medicine & Ethics, 38(1)
During this early stage of HIT adoption, it is critical that we engage in discussions regarding informed consent’s proper role in a health care environment in which electronic information sharing holds primary importance.
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5 April 2010 | No Comments »
Categories: Bibliography, Journal Article | Keyword(s): Benefits, Consent, Failure, Health Information Technology, Implementation, United States
Alamartine, Eric et al, Presse Médicale, 2010
Introduction
We developed a new system of medical tele-expertise to improve detection and care of chronic renal failure by way of a better communication between general practitioners and specialists. It has been known for long that the incidence of chronic renal failure is increasing while cost of its treatment is very high. Unfortunately, late referral of patients with kidney diseases remains around 30%. Our goal was to help physicians to get access to nephrologists, hence to improve the cure of renal diseases. An early treatment of nephropathies may avoid the evolution to the stage of dialysis.
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15 February 2010 | No Comments »
Categories: Journal Article | Keyword(s): Failure, France, General Practitioner, Nephrology, Telemedicine, Websites
Noormohammad, Sheraz F. et al, International Journal of Medical Informatics, 2010
Purpose
We implemented computer-based reminders for CD4 count tests at an HIV clinic in Western Kenya though an open-source Electronic Medical Record System. Within a month, providers had stopped complying with the reminders.
Methods
We used a multi-method qualitative approach to determine reasons for failure to adhere to the reminders, and took multiple corrective actions to remedy the situation.
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22 January 2010 | No Comments »
Categories: Journal Article | Keyword(s): Alerts and Reminders, Decision Support Systems, Electronic Health Records, Electronic Medical Records, Failure, HIV, Kenya, Open Source
Peute, Linda W. et al, International Journal of Medical Informatics, Article in Press, Corrected Proof
Objective
To investigate the human, social and organizational issues surrounding a Computerized Physician Order Entry system for Laboratory ordering (CPOE-L) implementation process and to analyze their interrelated effects on the system implementation failure in an academic medical setting. Second, to provide lessons learned and recommendations on to how to manage challenges of human, social and organizational nature surrounding CPOE-L implementations.
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20 August 2009 | No Comments »
Categories: Journal Article | Keyword(s): CPOE, Failure, Implementation, Netherlands, Qualitative Research
Ash JS et al, J Am Med Inform Assoc, 14(4)
Background:
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.
Objective:
To discover the extent and importance of unintended adverse consequences related to CPOE implementation in U.S. hospitals.
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6 August 2007 | No Comments »
Categories: Journal Article | Keyword(s): CPOE, Data Collection, Decision Support Systems, Failure, Hospital Administration, Hospitals, Workflow