Drug identification and interaction checker based on IoT to minimize adverse drug reactions and improve drug compliance

被引:33
作者
Jara, Antonio J. [1 ]
Zamora, Miguel A. [1 ]
Skarmeta, Antonio F. [1 ]
机构
[1] Univ Murcia, Clin Technol Lab, Fac Comp Sci, Murcia, Spain
关键词
Internet of things; Drug identification; Drug checker; m-Health; AAL; EVENTS; SYSTEM;
D O I
10.1007/s00779-012-0622-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Drug compliance and adverse drug reactions (ADR) are two of the most important issues regarding patient safety throughout the worldwide healthcare sector. ADR prevalence is 6.7 % throughout hospitals worldwide, with an international death rate of 0.32 % of the total of the patients. This rate is even higher in Ambient Assisted Living environments, where 15 % of the patients suffer clinically significant interactions due to patient non-compliance to drug dosage and schedule of intake in addition to suffering from polypharmacy. These instances increase with age and cause risks of drug interactions, adverse effects, and toxicity. However, with a tight follow-up of the drug treatment, complications of incorrect drug use can be reduced. For that purpose, we propose an innovative system based on the Internet of Things (IoT) for the drug identification and the monitoring of medication. IoT is applied to examine drugs in order to fulfill treatment, to detect harmful side effects of pharmaceutical excipients, allergies, liver/renal contradictions, and harmful side effects during pregnancy. The IoT design acknowledges that the aforementioned problems are worldwide so the solution supports several IoT identification technologies: barcode, Radio Frequency Identification, Near Field Communication, and a new solution developed for low-income countries based on IrDA in collaboration with the World Health Organization. These technologies are integrated in personal devices such as smart-phones, PDAs, PCs, and in our IoT-based personal healthcare device called Movital.
引用
收藏
页码:5 / 17
页数:13
相关论文
共 23 条
[1]   The effect of electronic prescribing on medication errors and adverse drug events: A systematic review [J].
Ammenwerth, Elske ;
Schnell-Inderst, Petra ;
Machan, Christof ;
Siebert, Uwe .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2008, 15 (05) :585-600
[2]  
[Anonymous], 10 IFAC WORKSH INT M
[3]  
[Anonymous], 2018, IEEE INTERNET THINGS
[4]   The Internet of Things: A survey [J].
Atzori, Luigi ;
Iera, Antonio ;
Morabito, Giacomo .
COMPUTER NETWORKS, 2010, 54 (15) :2787-2805
[5]   The consumption of drugs by 75-year-old individuals living in their own homes [J].
Barat, I ;
Andreasen, F ;
Damsgaard, EMS .
EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY, 2000, 56 (6-7) :501-509
[6]   Text messages could hasten tuberculosis drug compliance [J].
Barclay, Eliza .
LANCET, 2009, 373 (9657) :15-16
[7]   AN EXPOSURE SYSTEM FOR EVALUATING POSSIBLE EFFECTS OF RFID ON VARIOUS FORMULATIONS OF DRUG PRODUCTS [J].
Bassen, Howard ;
Seidman, Seth ;
Rogul, Jonathan ;
Desta, Abiy B. ;
Wolfgang, Steven .
IEEE COMMUNICATIONS MAGAZINE, 2007, 45 (04) :17-23
[8]   INCIDENCE OF ADVERSE DRUG EVENTS AND POTENTIAL ADVERSE DRUG EVENTS - IMPLICATIONS FOR PREVENTION [J].
BATES, DW ;
CULLEN, DJ ;
LAIRD, N ;
PETERSEN, LA ;
SMALL, SD ;
SERVI, D ;
LAFFEL, G ;
SWEITZER, BJ ;
SHEA, BF ;
HALLISEY, R ;
VANDERVLIET, M ;
NEMESKAL, R ;
LEAPE, LL .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1995, 274 (01) :29-34
[9]  
Classen DC, 1997, JAMA-J AM MED ASSOC, V277, P22
[10]  
Eyeforpharma, 2011, APPL NFC PHARM SECT