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Background Retained surgical instruments (RSI) are one of the most serious preventable complications in operating room settings, potentially leading to profound adverse effects for patients, as well as costly legal and financial consequences for hospitals. Safety measures to eliminate RSIs have been widely adopted in the United States and abroad, but despite widespread efforts, medical errors with RSI have not been eliminated. Objective Through a systematic review of recent studies, we aimed to identify the impact of radio frequency identification (RFID) technology on reducing RSI errors and improving patient safety. Methods A literature search on the effects of RFID technology on RSI error reduction was conducted in PubMed and CINAHL (2000-2016). Relevant articles were selected and reviewed by 4 researchers. Results After the literature search, 385 articles were identified and the full texts of the 88 articles were assessed for eligibility. Of these, 5 articles were included to evaluate the benefits and drawbacks of using RFID for preventing RSI-related errors. The use of RFID resulted in rapid detection of RSI through body tissue with high accuracy rates, reducing risk of counting errors and improving workflow. Conclusions Based on the existing literature, RFID technology seems to have the potential to substantially improve patient safety by reducing RSI errors, although the body of evidence is currently limited. Better designed research studies are needed to get a clear understanding of this domain and to find new opportunities to use this technology and improve patient safety.

OBJECTIVES To perform initial validation of a continuous motion monitoring technology that can potentially be used as a risk assessment tool to determine risk for developing pressure ulcers (PUs). METHODS We have used the EverOn system (Earlysense LTD, Ramat Gan, Israel) as a bed movement and activity monitor. The EverOn is a contactless continuous measurement system based on a piezoelectric sensor that is placed under the patient's mattress. The study was a noninterventional study performed in 2 medical departments in 2 medical centers. Recorded movement data from enrolled patients were retrospectively analyzed, and patients were assigned a motion level score. Motion scores for the first night of hospitalization were correlated with the Norton scale as calculated per patient on admission. RESULTS Overall, 116 patients were included in the study from the 2 sites. Motion score was significantly different between the PU risk groups as determined by the Norton scale (10.7 ± 6.2 for low, 5.4 ± 4.9 for intermediate, and 1.6 ± 3.2 for high risk; P < 0.001). Using the Norton scale as a gold standard to define high risk for developing PU (≤14), the sensitivity of the motion score was 85%, and the specificity was 93%. With regard to individual risk components, we found that activity, mobility, physical condition, and incontinence correlated highly with motion level. CONCLUSIONS The high correlation between the EverOn motion score and the calculated Norton scale indicates the potential of this technology to serve as a risk assessment tool for the development of PUs.