ArticleHealthcare informatics research2016
Constructing a Real-Time Prescription Drug Monitoring System.
Article in Healthcare informatics research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Real-Time Monitoring System to Manage Mental Healthcare Emergency Unit.Healthcare informatics research · 2020Article
- HEDEA: A Python Tool for Extracting and Analysing Semi-structured Information from Medical Records.Healthcare informatics research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe objective of this investigation was to demonstrate the possibility of the construction of a real-time prescription drug monitoring system (PDMOS) using data from the nationwide Drug Utilization Review (DUR) system in Korea.
methodsThe DUR system collects information on drug prescriptions issued by healthcare practitioners and on drugs dispensed by pharmacies. PDMOS was constructed using this data. The screen of PDMOS is designed to exhibit the number of drug prescriptions, the number of prescriptions dispensed by pharmacies, and the dispensed prescription drug costs on a daily and weekly basis. Data was sourced from the DUR system between June 1, 2016 and July 18, 2016. The TOGA solution developed by the EYEQMC Co. Ltd. of Seoul, Korea was used to produce the screen shots.
resultsPrescription numbers by medical facilities were more numerous than the number of prescriptions dispensed by pharmacies, as expected. The number of prescriptions per day was between 2 to 3 million. The prescriptions issued by primary care clinics were most numerous, at 75% of the total number of prescriptions. Daily prescription drug costs were found to be approximately US $50 million. The prescription drug costs were highest on Mondays and were reduced towards the end of the week. Prescriptions and dispensed prescriptions numbered approximately 1,200 and 1,000 million, respectively.
conclusionsThe construction of a real-time PDMOS has been successful to provide daily and weekly information. There was a lag time of only one day at the national level in terms of information extraction, and scarcely any time was required to load the data. Therefore, this study highlights the potential of constructing a PDMOS to monitor the estimate the number of prescriptions and the resulting expenditures from prescriptions.
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Registered trials
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