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Design of drug-pregnancy alerting system to prevent harmful drug effect for pregnant women
Wardhani S.A.a, Mengko R.K.W.a, Setiawan A.W.a
a Department of Biomedical Engineering, Institut Teknologi Bandung, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2016 IEEE.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.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Accuracy of decision makings,Alerting systems,Decision-making systems,Drug administration,drugs,pregnancy,Pregnant woman,Web-based applications[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]adverse drug prevention systems for pregnant women,alert system to the drug for pregnant women,Drug-Pregnancy Alerting Systems,drugs,pregnancy,pregnant women[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/FIT.2016.7857540[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]