An estimated 70,000 preventable medication errors occur in Canada annually, causing up to 23,750 deaths. Medication errors increase when the number of medications being administered increases. Therefore, people with multi-morbidity who take several medications at once are more vulnerable to medication errors.
Medication errors can be prevented by developing and managing an efficient healthcare system integrated with technology. Near Field Communication (NFC) technology, in particular, has been shown to improve the quality of health care and increase patient safety. NFC has a powerful ability to identify and track objects such as patients and medications; its identification and tracking abilities give it significant potential especially in detecting drug interaction and drug allergy.
The main objective of this thesis is to present a novel solution using NFC-enabled smartphone integrated with NFC application to detect and update drug allergies and drug interactions for people with multi-morbidity during medication administration. / The system has been implemented using Samsung Nexus S smartphone with Android 2.3.6 platform, MIFARE Classic 1K tags, and a database populated with 10 patients’ record and 30 medications. The system was validated for the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and computational and communicational cost.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:NSHD.ca#10222/15500 |
| Date | 10 August 2012 |
| Creators | Alabdulhafith, Maali |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
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