Delivering antibiotic resistance information specifically tailored to location and time.
Antibiotic resistance poses a significant threat to humanity. Hundred years since the beginning of the era of antibacterial drugs, we are facing increasing numbers of infections with multi-resistant pathogens. The current approach of distributing information on antibiotic resistance in printed form in the clinics has disadvantages with respect to the actuality of the data and the regional heterogeneity of resistance patterns. We developed an application named qRe using representational state transfer as a communication standard to deliver antibiotic resistance percentage information to the end user. The data is selected specifically for his/her geographic location. The user can display the information using either the application for Android smart phones or the web application. With the presented software we show the technical feasibility of delivering antibiotic resistance information specifically tailored to location and time. A short evaluation of the software showed an overall positive response from physicians. Based on recommendations of previous investigations, we expect a measurable clinical impact.
Section for Medical Expert and Knowledge-Based Systems, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Philipp
P
Meng
Karsten
K
Fehre
Alexander
A
Blacky
Andrea
A
Rappelsberger
Jeroen S
JS
de Bruin
Klaus-Peter
KP
Adlassnig
D000465:Algorithms; D001317:Austria / Q000453:epidemiology; D001424:Bacterial Infections / Q000453:epidemiology*; D021821:Communicable Diseases, Emerging / Q000453:epidemiology*; D003660:Decision Support Systems, Management; D024881:Drug Resistance, Bacterial; D040362:Geographic Information Systems; D006801:Humans; D033181:Information Dissemination / Q000379:methods; D012984:Software; D012986:Software Validation; D017216:Telemedicine / Q000379:methods*; D019371:Topography, Medical / Q000379:methods; D014584:User-Computer Interface