2012
DOI: 10.5210/ojphi.v4i1.4011
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A Review of Automatic Patient Identification Options for Public Health Care Centers with Restricted Budgets

Abstract: A comparative review is presented of available technologies suitable for automatic reading of patient identification bracelet tags. Existing technologies’ backgrounds, characteristics, advantages and disadvantages, are described in relation to their possible use by public health care centers with budgetary limitations. A comparative assessment is presented of suitable automatic identification systems based on graphic codes, both one- (1D) and two-dimensional (2D), printed on labels, as well as those based on r… Show more

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Cited by 29 publications
(27 citation statements)
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“…The use of 1D, 2D, and Radio Frequency IDentification (RFID) based codes in patient identification is elaborately reviewed by García-Betances and Huerta [25]. The authors conclude that QR codes are ideal for patient identification and quick remote access of electronic patient records.…”
Section: Introductionmentioning
confidence: 99%
“…The use of 1D, 2D, and Radio Frequency IDentification (RFID) based codes in patient identification is elaborately reviewed by García-Betances and Huerta [25]. The authors conclude that QR codes are ideal for patient identification and quick remote access of electronic patient records.…”
Section: Introductionmentioning
confidence: 99%
“…Two researchers in Venezuela reviewed available technologies for patient identification and concluded that QR coding was the best option to store a large quantity of information, especially when dealing with a low-budget situation (Garcia-Betances & Huerta, 2012).…”
Section: Qr Background and Applicationmentioning
confidence: 99%
“…The Health Department of the United Kingdom recommends that this record is unique and used by all health services, but privacy and safety issues, such as theft of personal information, and flaws in the combination of patients in these electronic systems indicate the need to resort to other identifiers. Clinical data, name, surname, date of birth, social security number, address, phone number, postal code and gender can be combined to allow the correct patient identification and prevent duplication of medical records or multiple recording of the same user, as has been demonstrated by several authors (18)(19)(20)(21)(22)(23) . Similar or identical names can originate mistakes when computed systems require identifiers -first and last names and numerical registries -to find patient information in health services (2,24) .…”
Section: Discussionmentioning
confidence: 99%