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- W2588857994 abstract "A small number of drugs that have teratogenic effects would be fatal and should not be given to a pregnant woman, so be required a software that can provide information with warning systems to reduce medication administration errors in pregnant women. System software Design Pregnancy Alerting Sytems For Pregnant Women (DPAS-FPW) is a web-based application that has been developed with the PHP programming language using XAMPP package consisting of Apache web server, PHP and MySQL database. This system is also a DSS (Decision-Making System), which serves to help users make decisions. Do comparative speed and accuracy of decision-making by medical personnel using the test case study with manual and with the help of software DPAS-FPW. Tests conducted at 50 medical personnel consisting of 26 general practioners and 24 pharmacists who are in Adora Pharmacies, Adika Pharmacies and Dustira Hospital. Do also test implementations DPAS-FPW on 20 pregnant women who get a prescription from the hospital. Dustira. Parameter tests conducted is how long processing time and accuracy in reaching a decision in drug delivery. From the test results can be concluded from the overall evaluation of the accuracy of medical personnel in answering a case study using the software DPAS-FPW compared with the manual method are respectively 241 and 181 the true answer. With the manually method within the range of 10–95 minutes, while with the help of DPAS-FPW lead time is only 4–9 minutes. In the implementation of the test results DPAS-FPW in pregnant women who have been prescribed the use DPAS-FPW can detect three pieces of drug administration is wrong in prescriptions given to pregnant women, the average processing time is done relatively quickly with just over 3:25 minutes." @default.
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- W2588857994 date "2016-10-01" @default.
- W2588857994 modified "2023-09-24" @default.
- W2588857994 title "Design of drug-pregnancy alerting system to prevent harmful drug effect for pregnant women" @default.
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- W2588857994 doi "https://doi.org/10.1109/icsengt.2016.7849625" @default.
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