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1.
Stud Health Technol Inform ; 192: 1102, 2013.
Article in English | MEDLINE | ID: mdl-23920876

ABSTRACT

Computerized smart infusion pumps have been widely implemented to decrease the rate of intravenous (IV) medication errors in hospitals. However, these devices have not always achieved their potential, and important IV errors still persist. Findings from a previous study [1] that assessed the frequency of IV medication errors and the impact of smart infusion pumps identified major issues related to use of smart infusion pumps in a single facility, but generalizability of these results is uncertain. Additionally, lack of standardized methodology for measuring these errors remains an issue. In this study, we developed an observational tool to capture IV medication errors through iterative participatory design with interdisciplinary experts and then tested the tool by using incident cases regarding smart pump errors. We found that the tool could capture all smart infusion pump errors and is ready for testing for use as standard data collection tool in different hospital settings.


Subject(s)
Adverse Drug Reaction Reporting Systems/organization & administration , Equipment Failure Analysis/methods , Infusion Pumps/statistics & numerical data , Internet , Medication Errors/prevention & control , Medication Errors/statistics & numerical data , Software , Administration, Intravenous/statistics & numerical data , Drug Therapy, Computer-Assisted/instrumentation , Drug Therapy, Computer-Assisted/statistics & numerical data , Equipment Failure Analysis/statistics & numerical data , Humans , Infusion Pumps/classification , Medication Errors/classification , United States
2.
AMIA Annu Symp Proc ; 2013: 1089-98, 2013.
Article in English | MEDLINE | ID: mdl-24551395

ABSTRACT

While some published research indicates a fairly high frequency of Intravenous (IV) medication errors associated with the use of smart infusion pumps, the generalizability of these results are uncertain. Additionally, the lack of a standardized methodology for measuring these errors is an issue. In this study we iteratively developed a web-based data collection tool to capture IV medication errors using a participatory design approach with interdisciplinary experts. Using the developed tool, a prevalence study was then conducted in an academic medical center. The results showed that the tool was easy to use and effectively captured all IV medication errors. Through the prevalence study, violation errors of hospital policy were found that could potentially place patients at risk, but no critical errors known to contribute to patient harm were noted.


Subject(s)
Data Collection/methods , Infusion Pumps , Medication Errors/statistics & numerical data , Academic Medical Centers , Computers , Databases, Factual , Humans , Infusions, Intravenous/adverse effects , Internet , Software
3.
J Oncol Pract ; 8(6): 344-9, 1 p following 349, 2012 Nov.
Article in English | MEDLINE | ID: mdl-23598843

ABSTRACT

PURPOSE: Antineoplastic preparation presents unique safety concerns and consumes significant pharmacy staff time and costs. Robotic antineoplastic and adjuvant medication compounding may provide incremental safety and efficiency advantages compared with standard pharmacy practices. METHODS: We conducted a direct observation trial in an academic medical center pharmacy to compare the effects of usual/manual antineoplastic and adjuvant drug preparation (baseline period) with robotic preparation (intervention period). The primary outcomes were serious medication errors and staff safety events with the potential for harm of patients and staff, respectively. Secondary outcomes included medication accuracy determined by gravimetric techniques, medication preparation time, and the costs of both ancillary materials used during drug preparation and personnel time. RESULTS: Among 1,421 and 972 observed medication preparations, we found nine (0.7%) and seven (0.7%) serious medication errors (P = .8) and 73 (5.1%) and 28 (2.9%) staff safety events (P = .007) in the baseline and intervention periods, respectively. Drugs failed accuracy measurements in 12.5% (23 of 184) and 0.9% (one of 110) of preparations in the baseline and intervention periods, respectively (P < .001). Mean drug preparation time increased by 47% when using the robot (P = .009). Labor costs were similar in both study periods, although the ancillary material costs decreased by 56% in the intervention period (P < .001). CONCLUSION: Although robotically prepared antineoplastic and adjuvant medications did not reduce serious medication errors, both staff safety and accuracy of medication preparation were improved significantly. Future studies are necessary to address the overall cost effectiveness of these robotic implementations.


Subject(s)
Antineoplastic Agents/standards , Medication Errors/prevention & control , Pharmacy Service, Hospital/organization & administration , Robotics/methods , Academic Medical Centers/economics , Academic Medical Centers/organization & administration , Antineoplastic Agents/economics , Costs and Cost Analysis/statistics & numerical data , Drug Compounding/economics , Drug Compounding/methods , Humans , Massachusetts , Medication Errors/statistics & numerical data , Outcome Assessment, Health Care , Pharmacy Service, Hospital/economics , Pharmacy Service, Hospital/standards , Robotics/economics , Safety Management/methods , Workflow
4.
JAMA ; 302(14): 1565-72, 2009 Oct 14.
Article in English | MEDLINE | ID: mdl-19826026

ABSTRACT

CONTEXT: Few data exist on the relationships between experienced physicians' work hours and sleep, and patient safety. OBJECTIVE: To determine if sleep opportunities for attending surgeons and obstetricians/gynecologists are associated with the risk of complications. DESIGN, SETTING, AND PATIENTS: Matched retrospective cohort study of procedures performed from January 1999 through June 2008 by attending physicians (86 surgeons and 134 obstetricians/gynecologists) who had been in the hospital performing another procedure involving adult patients for at least part of the preceding night (12 am-6 am, postnighttime procedures). Sleep opportunity was calculated as the time between end of the overnight procedure and start of the first procedure the following day. Matched control procedures included as many as 5 procedures of the same type performed by the same physician on days without preceding overnight procedures. Complications were identified and classified by a blinded 3-step process that included administrative screening, medical record reviews, and clinician ratings. MAIN OUTCOME MEASURES: Rates of complications in postnighttime procedures as compared with controls; rates of complications in postnighttime procedures among physicians with more than 6-hour sleep opportunities vs those with sleep opportunities of 6 hours or less. RESULTS: A total of 919 surgical and 957 obstetrical postnighttime procedures were matched with 3552 and 3945 control procedures, respectively. Complications occurred in 101 postnighttime procedures (5.4%) and 365 control procedures (4.9%) (odds ratio, 1.09; 95% confidence interval [CI], 0.84-1.41). Complications occurred in 82 of 1317 postnighttime procedures with sleep opportunities of 6 hours or less (6.2%) vs 19 of 559 postnighttime procedures with sleep opportunities of more than 6 hours (3.4%) (odds ratio, 1.72; 95% CI, 1.02-2.89). Postnighttime procedures completed after working more than 12 hours (n = 958) compared with 12 hours or less (n = 918) had nonsignificantly higher complication rates (6.5% vs 4.3%; odds ratio, 1.47; 95% CI, 0.96-2.27). CONCLUSION: Overall, procedures performed the day after attending physicians worked overnight were not associated with significantly increased complication rates, although there was an increased rate of complications among postnighttime surgical procedures performed by physicians with sleep opportunities of less than 6 hours.


Subject(s)
Clinical Competence , Delivery, Obstetric/statistics & numerical data , Intraoperative Complications/epidemiology , Medical Errors/statistics & numerical data , Medical Staff, Hospital , Sleep Deprivation , Surgical Procedures, Operative/statistics & numerical data , Work Schedule Tolerance , Adult , Cohort Studies , Fatigue , Female , General Surgery , Gynecology , Humans , Male , Middle Aged , Obstetrics , Postoperative Complications/epidemiology , Retrospective Studies , Sleep
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