Computerized dispensing system: Reducing the time of dispensing medicines

Ishizuka, Hideo; Horiguchi, Masami; Waki, Yasuo; Maeda, Masaki; Ishikura, Chiyoji

doi:10.1016/0020-7101(91)90033-b

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…16 , 17 , 18 Studies showed that availability of medication in ADM helps in reducing the round time cycle of STAT order processing as well as reducing error incidence. 19 - 20 …”

Section: Discussionmentioning

confidence: 99%

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Evaluation of STAT medication ordering process in a community hospital

Abdelaziz¹,

Richardson²,

Walsh³

et al. 2016

Pharm Pract (Granada)

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Background:In most health care facilities, problems related to delays in STAT medication order processing time are of common concern.Objective:The purpose of this study was to evaluate processing time for STAT orders at Kimball Medical Center.Methods:All STAT orders were reviewed to determine processing time; order processing time was also stratified by physician order entry (physician entered (PE) orders vs. non-physician entered (NPE) orders). Collected data included medication ordered, indication, time ordered, time verified by pharmacist, time sent from pharmacy, and time charted as given to the patient.Results:A total of 502 STAT orders were reviewed and 389 orders were included for analysis. Overall, median time was 29 minutes, IQR 16–63; p<0.0001.). The time needed to process NPE orders was significantly less than that needed for PE orders (median 27 vs. 34 minutes; p=0.026). In terms of NPE orders, the median total time required to process STAT orders for medications available in the Automated Dispensing Devices (ADM) was within 30 minutes, while that required to process orders for medications not available in the ADM was significantly greater than 30 minutes. For PE orders, the median total time required to process orders for medications available in the ADM (i.e., not requiring pharmacy involvement) was significantly greater than 30 minutes. [Median time = 34 minutes (p<0.001)].Conclusion:We conclude that STAT order processing time may be improved by increasing the availability of medications in ADM, and pharmacy involvement in the verification process.

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“…16 , 17 , 18 Studies showed that availability of medication in ADM helps in reducing the round time cycle of STAT order processing as well as reducing error incidence. 19 - 20 …”

Section: Discussionmentioning

confidence: 99%

“…In addition, STAT ordering is not limited to medications, and practitioners often write STAT orders for other purposes such as laboratory tests or radiological exams. 10 , 11 , 12 , 13 The Key steps in STAT ordering process are:…”

Section: Introductionmentioning

confidence: 99%

Evaluation of STAT medication ordering process in a community hospital

Abdelaziz¹,

Richardson²,

Walsh³

et al. 2016

Pharm Pract (Granada)

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Development and evaluation of a new automated dispensing system

Ishizuka¹,

Waki²,

Horizuti³

et al. 1995

International Journal of Bio-Medical Computing

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Expert systems in pharmacy practice

Stork

Greene

1993

International Journal of Pharmacy Practice

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This paper introduces expert systems and considers the advantages and disadvantages of their use in pharmacy. It describes how the future pharmacist is likely to be assisted by an expert system for diagnosis and patient management, and details a pharmacy system which accesses doctors' records and prescription databases, relieving the pharmacist of much clerical work and even some clinical activities. The provision of expert systems for public use and the potential for computer aided learning is also discussed. However, the legal aspects of expert system use remain to be clarified. Two prototype systems being developed at King'e College, London, are described.

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Computerized dispensing system: Reducing the time of dispensing medicines

Cited by 5 publications

References 2 publications

Evaluation of STAT medication ordering process in a community hospital

Evaluation of STAT medication ordering process in a community hospital

Development and evaluation of a new automated dispensing system

Expert systems in pharmacy practice

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