scholarly journals Evaluation of computerized provider order entry systems: assessing the usability of systems for electronic prescription

10.19082/7196 ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 7196-7204
Author(s):  
Reza Rabiei ◽  
Hamid Moghaddasi ◽  
Farkhondeh Asadi ◽  
Maryam Heydari
Keyword(s):  
Order Entry ◽  
Electronic Prescription ◽  
Computerized Provider Order Entry ◽  
Order Entry Systems

scholarly journals Reduction in medication errors in hospitals due to adoption of computerized provider order entry systems

2013 ◽  
Vol 20 (3) ◽  
pp. 470-476 ◽  
Author(s):  
D. C. Radley ◽  
M. R. Wasserman ◽  
L. E. Olsho ◽  
S. J. Shoemaker ◽  
M. D. Spranca ◽  
...  
Keyword(s):  
Medication Errors ◽  
Order Entry ◽  
Computerized Provider Order Entry ◽  
Order Entry Systems

scholarly journals The impact of computerized provider order entry systems on medical-imaging services: a systematic review

2011 ◽  
Vol 18 (3) ◽  
pp. 335-340 ◽  
Author(s):  
Andrew Georgiou ◽  
Mirela Prgomet ◽  
Andrew Markewycz ◽  
Edwina Adams ◽  
Johanna I Westbrook
Keyword(s):  
Systematic Review ◽  
Medical Imaging ◽  
Order Entry ◽  
Computerized Provider Order Entry ◽  
The Impact ◽  
Order Entry Systems

scholarly journals Electronic prescription: frequency and severity of medication errors

2019 ◽  
Vol 65 (11) ◽  
pp. 1349-1355
Author(s):  
Mário Borges Rosa ◽  
Mariana Martins Gonzaga do Nascimento ◽  
Priscilla Benfica Cirilio ◽  
Rosângela de Almeida Santos ◽  
Lucas Flores Batista ◽  
...  
Keyword(s):  
Potassium Chloride ◽  
Medication Errors ◽  
High Complexity ◽  
Order Entry ◽  
Electronic Prescription ◽  
Computerized Provider Order Entry ◽  
Error Frequency ◽  
Before And After ◽  
Belo Horizonte ◽  
Stage 1

SUMMARY OBJECTIVE: To assess the frequency and severity of prescriptions errors with potentially dangerous drugs (heparin and potassium chloride for injection concentrate) before and after the introduction of a computerized provider order entry (CPOE) system. METHODS: This is a retrospective study that compared errors in manual/pre-typed prescriptions in 2007 (Stage 1) with CPOE prescriptions in 2014 (Stage 2) (Total = 1,028 prescriptions), in two high-complexity hospitals of Belo Horizonte, Brasil. RESULTS: An increase of 25% in the frequency of errors in Hospital 1 was observed after the intervention (p<0.001). In contrast, a decreased error frequency of 85% was observed in Hospital 2 (p<0.001). Regarding potassium chloride, the error rate remained unchanged in Hospital 1 (p>0.05). In Hospital 2, a significant decrease was recorded in Stage 2 (p<0.001). A reduced error severity with heparin (p<0.001) was noted, while potassium chloride-related prescription severity remain unchanged (p> 0.05). CONCLUSIONS: The frequency and severity of medication errors after the introduction of CPOE was affected differently in the two hospitals, which shows a need for thorough observation when the prescription system is modified. Control of new potential errors introduced and their causes for the adoption of measures to prevent these events must be in place during and after the implementation of this technology.

scholarly journals Impact of Computerized Provider Order Entry Systems on hospital staff pharmacist workflow productivity: A three site comparative analysis based on level of CPOE implementation

2017 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Benjamin D. Lewing ◽  
Mark D. Hatfield ◽  
Sujit S. Sansgiry
Keyword(s):  
Hospital Staff ◽  
Order Entry ◽  
Short Term ◽  
Computerized Provider Order Entry ◽  
Time And Motion ◽  
Motion Study ◽  
Time Allotment ◽  
Post Hoc ◽  
Order Entry Systems

Objective: Computerized Provider Order Entry (CPOE) is a system that enables physicians to send medication orders electronically rather than physically writing out the order. CPOE can reduce handwriting and transcription related medication errors and has been a major implementation goal for health systems. The objective of this study was to quantify and examine differences seen in the workflow of pharmacists at hospitals, with different levels of CPOE implementation.Methods: An observational, prospective time and motion study was conducted among three hospitals within the same health system: one classified as a non-CPOE system, one as short-term CPOE, and one as long-term CPOE. Pharmacists were observed in one-hour blocks, in which a data instrument was used to record 38 different tasks, which were grouped into four activities: clinical, distributive, administrative, and miscellaneous. The distributive category was further divided into three sub-categories. The average time associated with performing activities across the three hospitals was compared by descriptive and comparative analyses using ANOVAs and the post-hoc Tukey’s range test.Results: A total of 252 hours were collected and 235 met the inclusion criteria. The significant differences in time spent on task categories among hospitals were as follows: Non-CPOE vs. short term CPOE vs. long-term CPOE (mean ± SD in min/h) clinical tasks: (6.55 ± 6.40) vs. (4.95 ± 4.15) vs. (3.79 ± 4.91), respectively, (p < .05); order entry tasks: (29.62 ± 11.24) vs. (17.44 ± 10.73) vs. (10.27 ± 8.88) respectively, (p < .05); order verification tasks: (0.88 ± 1.77) vs. (13.93 ± 8.50) vs. (16.60 ± 9.63) respectively, (p < .05); other distributive tasks: (13.60 ± 10.04) vs. (15.86 ± 8.38) vs. (19.66 ± 8.42) respectively, (p < .05); and miscellaneous: (3.78 ± 4.64) vs. (1.54 ± 3.20) vs. (2.23 ± 3.51) respectively, (p < .05).Conclusions: The presence of a CPOE system could affect pharmacists’ workflow and time allotment on different types of pharmacy activities. Further, the time spent on certain activities was associated with the amount of time the CPOE system was implemented.

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