000 03110nam a22003017a 4500
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040 _bEnglish.
_cCvSU-CCAT Campus Library.
_erda.
050 _aUM QA 76.9
_bM36 2019
100 _aManalo, Raven S., author.
_95705
245 _aDevelopment of BioID: An Electronic ID and Records System Using Fingerprint Scan and Quick Response Code for Medical Clinics /
_cRaven S. Manalo and Pauline A., Miñes.
260 _aRosario, Cavite :
_bCavite State University-CCAT Campus,
_c2019
300 _axiii, 61 leaves :
_billustrations ;
_c28 cm
500 _aUndergraduate Design Project (BSCpE)--Cavite State University-CCAT Campus, 2019.
504 _aIncludes bibliographical references and appendices.
520 _aMANALO, RAVEN S., MIÑEZ, PAULINE A. Development of BioID: An Electronic ID and Records System Using Fingerprint Scan and Quick Response Code for Medical Clinics. Undergraduate Design Project. Bachelor of Science in Computer Engineering. Cavite State University Cavite College of Arts and Trades Campus, Rosario, Cavite. April 2019. Adviser: Mrs, Diane P. Arayata. Technical Critic: Mr. Juniel M. Arcal. The study was conducted from December 2018 to May 2019 to develop BioID, an electronic identification system that uses fingerprint scan and quick response code for patients in clinics. Specifically, the study aimed to 1.) document current practices of storage and retrieval of medical records in rural health units; 2.) design an adaptable electronic patient identification system using fingerprint scan and QR code; 3.) construct the software and fabricate the prototype of the system; 4.) integrate the device to the database and a web application for patient enrolment and/or viewing of patient information and their medical records; 5.) and test and evaluate the device. BioID is a multi-access scanning device for fingerprint and QR code designed to automate the manual process of identifying patients. The device is connected to a web application that serve as a portal to correctly identify patients and track their medical record history. The developers tested and evaluated BioID in terms of accuracy, reliability, speed, security, and perception of the end-users on the design of the system. Based on the results of the evaluation, the system speeds up the process of patient identification and medical record retrieval time. Average processing time is around 9 seconds in searching via fingerprint while around 5 seconds in searching via QR code. This arises some recommendations for the improvement of the study.
650 _aData encryption (computer science) .
_95706
650 _aCryptoraphy.
_95707
650 _aQR code.
_95708
650 _aMedical record systems computerized.
_95709
650 _aElectronic records.
_95710
700 _aMiñez, Pauline A., author.
_95711
700 _aArayata, Duane P., adviser.
_95712
700 _aArcal, Juniel M., critic.
_95713
942 _2lcc
_cT/M/D
_hQA 76.9
_iM36 2019
_kUM
999 _c1785
_d1785