Improving the Efficiency of an Emergency Department Based on Activity-Relationship Diagram and Radio Frequency Identification Technology.

Emergency department crowding has been one of the main issues in the health system in Taiwan. Previous studies have usually targeted the process improvement of patient treatment flow due to the difficulty of collecting Emergency Department (ED) staff data. In this study, we have proposed a hybrid model with Discrete Event Simulation, radio frequency identification applications, and activity-relationship diagrams to simulate the nurse movement flows and identify the relationship between different treatment sections. We used the results to formulate four facility layouts. Through comparing four scenarios, the simulation results indicated that 2.2 km of traveling distance or 140 min of traveling time reduction per nurse could be achieved from the best scenario.

How Much Time are Physicians and Nurses Spending Together at the Patient Bedside?

BACKGROUND: Bedside rounding involving both nurses and physicians has numerous benefits for patients and staff. However, precise quantitative data on the current extent of physician-nurse (MD-RN) overlap at the patient bedside are lacking. OBJECTIVE: This study aimed to examine the frequency of nurse and physician overlap at the patient beside and what factors affect this frequency. DESIGN: This is a prospective, observational study of time-motion data generated from wearable radio frequency identification (RFID)-based locator technology. SETTING: Single-institution academic hospital. MEASUREMENTS: The length of physician rounds, frequency of rounds that include nurses simultaneously at the bedside, and length of MD-RN overlap were measured and analyzed by ward, day of week, and distance between patient room and nursing station. RESULTS: A total of 739 MD rounding events were captured over 90 consecutive days. Of these events, 267 took place in single-bed patient rooms. The frequency of MD-RN overlap was 30.0%, and there was no statistical difference between the three wards studied. Overall, the average length of all MD rounds was 7.31 ± 0.58 minutes, but rounding involving a bedside nurse lasted longer than rounds with MDs alone (9.56 vs 5.68 minutes, P < .05). There was no difference in either the length of rounds or the frequency of MD-RN overlap between weekdays and weekends. Finally, patient rooms located farther away from the nursing station had a lower likelihood of MD-RN overlap (Pearson's r = -0.67, P < .05). CONCLUSION: RFID-based technology provides precise, automated, and high-throughput time-motion data to capture nurse and physician activity. At our institution, 30.0% of rounds involve a bedside nurse, highlighting a potential barrier to bedside interdisciplinary rounding.

Radio frequency identification to measure the duration of machine-paced assembly tasks: Agreement with self-reported task duration and application in variance components analyses of upper arm postures and movements recorded over multiple days.

Technical advances in inertial measurement units (IMUs) with data logging functionality have enabled multi-day collection of fullshift upper arm postures and movements. Such data are useful for characterizing job-level exposures and, when coupled with task-level information, can inform interventions to mitigate high-exposure tasks. Previously reported methods for capturing task-level information, however, were limited primarily to self-report diaries or direct observation. In this study of machine-paced manufacturing workers (n=6), a low-cost radio frequency identification (RFID) system was used to collect information about when, and for how long, specific assembly tasks were performed during up to 14 consecutive work shifts (76 total work shifts across the six participants). The RFID data were compared to information collected with a self-report diary using Bland-Altman analyses. In addition, the RFID data were paired with IMU data to identify task-level exposures from within full-shift recordings of upper arm postures and movements. These data were then used to estimate the relative contributions of between- and within-worker sources of variance to overall variance in posture and movement summary measures using hierarchical random-effects analysis of variance (ANOVA) techniques. Average estimates of daily task duration based on RFID data were comparable to estimates obtained by self-report (mean bias < ±1 minute) but with substantial variability (limits of agreement > ±100 minutes). In addition, the ANOVA models containing task-level information suggested a substantial amount of the overall exposure variance was attributed to repeated observations of the same task within a work day. These findings (i) suggest that while the RFID system used in this study performed adequately, further refinement, validation, and/or alternative strategies may be needed and (ii) underscore the importance of repeated full-shift and task-based measurement approaches in characterizing physical exposures, even in machine-paced environments.

Tracking and tracing tobacco products in Kenya.

This report evaluates the effectiveness of various measures to control the size of illicit cigarette trade in Kenya. It is based on a literature review, a review of conference proceedings/materials, online searches, and analyses of data from the National Statistical Office of Kenya, ERC, and Euromonitor. I used both published and grey literature, official government reports, and online news articles. In response to the presence of illicit cigarettes in the market in the early 2000s, Kenya adopted numerous measures to reduce tobacco tax evasion, with varying degrees of success. The latest solution involving a tracking and tracing system accompanied by electronic cargo monitoring of export seems to be the most effective, as it reduced the size of the illicit cigarette market and increased tax revenue. In addition, it seems to be more resistant to tampering. The experience of Kenya highlights the importance of consistency and comprehensiveness of the system addressing tax evasion, because piecemeal measures have only short-term effects.

RFID Continuance Usage Intention in Health Care Industry.

Radio-frequency identification (RFID) has been proved to be an effective tool both for improving operational efficiency and for gaining competitive advantage in the health care industry despite its relatively low-usage rate in hospitals. The sustained use of RFID by health care professionals will promote its development in the long term. This study evaluates the acceptance continuance of RFID among health care professionals through technology continuance theory (TCT). Data were collected from 178 medical professionals in Malaysia and were then analyzed using the partial least squares technique. The analysis showed that the TCT model provided not only a thorough understanding of the continuance behavior of health care professionals toward RFID but also the attitudes, satisfaction, and perceived usefulness of professionals toward it. The results of this study are expected to assist policy makers and managers in the health care industry in implementing the RFID technology in hospitals by understanding the determinants of continuance of RFID usage intention.

Benefits and Barriers of Implementation and Utilization of Radio-Frequency Identification (RFID) Systems in Transfusion Medicine.

Radio-frequency identification (RFID) technology is used by hospital supply chains to track medical products and monitor inventories. Hospitals have also begun incorporating RFID technology as part of their transfusion processes. The purpose of this review was to analyze how healthcare organization supply chains can benefit from the utilization of RFID systems in transfusion service departments. The methodology for this study was a literature review following the steps of a systematic review with a total of 52 sources referenced. RFID technology is used to manage and track blood products from the initial donor phlebotomy to final disposition or product transfusion. RFID-enabled transfusion practices have successfully increased provider productivity and product quality through work-time reduction and error reduction. Findings of this research study suggest that RFID has provided improvements in quality of care and efficiency, while initial costs, security, and privacy appear to be the principal barriers to adoption.

Study of Development for RFID System to Hospital Environment.

RFID/USN develops information systems for anytime, anywhere to anybody access Electronic Medical Records (EMR). The goal of the present study is to develop a RFID/USN-based information system for the hospital environment. First, unable to recognize, second, able to recognize as a pursuit of place and suppose the time of medical examination. A retrospective analysis of 235 RFID monitoring results, from four ENT ambulatory clinics of Seoul National University Hospital were extracted by a reader program and monitoring of RFID tag (2006.11.16~2006.12.16). RFID detection for sensing reader of this study has been put into representing "place" and "spending time" of patients for medical history taking and examination. Through the RFID of detection for specific place and spending time of medical examination, RFID/USN develops information system progressing in the EMR of hospital system.

RFID in the pharmaceutical industry: addressing counterfeits with technology.

The use of Radio Frequency Identification (RFID) in the pharmaceutical industry has grown in recent years. The technology has matured from its specialized tracking and retail uses to a systemic part of supply chain management in international pharmaceutical production and distribution. Counterfeit drugs, however, remain a significant challenge for governments, pharmaceutical companies, clinicians, and patients and the use of RFID to track these compounds represents an opportunity for development. This paper discusses the medical, technological, and economic factors that support widespread adoption of RFID technology in the pharmaceutical industry in an effort to prevent counterfeit medicines from harming patients and brand equity.

The virtual neonate in The Neonatal Intensive Care Unit: when twin number three adds up to error not imagination.

BACKGROUND: During the administrative admittance of extreme premature twin neonates to the Hospital Information System (HIS), at an Israeli government general hospital, a third virtual baby was mistakenly admitted in addition to the twins. The third virtual baby's records were in department occupancy and transactions were performed in the HIS, such as "admittance" to Neonatal Intensive Care Unit (NICU), being appended to a mother as well as clinical orders. METHODS: Once noticed, the records of the third virtual baby were merged in the system with the second correct twin (Baby II), whose records were also in the department occupancy list. RESULTS: An error occurred in the interface whilst merging the records, and patient demography was not updated for clinical orders for Baby II. As a result, all new clinical orders for Baby II carried the non existing third baby's identity. CONCLUSIONS: We emphasize that it is advisable to register all newborns as early on in life whilst still in the delivery room, with a permanent identification number as opposed to a temporary identification number to avoid any mismatching if patients records are to be merged or updated. Furthermore, steps that could help prevent such an event could be additional administrative staff to register newborns. However, we conclude, that it would be most helpful to introduce a Radio Frequency Identification (RFID) system based on a permanent identity number. If any discrepancies in patient information are detected, an alarm will be triggered during transfer of the baby from the delivery room to the designated Department. A RFID receptor is located at the exit of the delivery room. While most literature available regarding Hospital Information Technology (HIT) and patient safety, mainly discusses mismatching of patients during medication and laboratory testing not much literature regarding the process of registering newborns as a source of patient mismatching has been found. The authors feel that there is a need to further investigate this aspect as it is a source that can affect not only accuracy in the Electronic Patient Record (EPR) but furthermore has the impact to change the course of a life and set tone for that person's future.

High-level managers' considerations for RFID adoption in hospitals: an empirical study in Taiwan.

Prior researches have indicated that an appropriate adoption of information technology (IT) can help hospitals significantly improve services and operations. Radio Frequency Identification (RFID) is believed to be the next generation innovation technology for automatic data collection and asset/people tracking. Based on the Technology-Organization-Environment (TOE) framework, this study investigated high-level managers' considerations for RFID adoption in hospitals. This research reviewed literature related IT adoption in business and followed the results of a preliminary survey with 37 practical experts in hospitals to theorize a model for the RFID adoption in hospitals. Through a field survey of 102 hospitals and hypotheses testing, this research identified key factors influencing RFID adoption. Follow-up in-depth interviews with three high-level managers of IS department from three case hospitals respectively also presented an insight into the decision of RFID's adoption. Based on the research findings, cost, ubiquity, compatibility, security and privacy risk, top management support, hospital scale, financial readiness and government policy were concluded to be the key factors influencing RFID adoption in hospitals. For practitioners, this study provided a comprehensive overview of government policies able to promote the technology, while helping the RFID solution providers understand how to reduce the IT barriers in order to enhance hospitals' willingness to adopt RFID.

The use of radio-collars for monitoring wildlife diseases: a case study from Iberian ibex affected by Sarcoptes scabiei in Sierra Nevada, Spain.

BACKGROUND: Wildlife radio tracking has gained popularity during the recent past. Ecologists and conservationists use radio-collars for different purposes: animal movement monitoring, home range, productivity, population estimation, behaviour, habitat use, survival, and predator-prey interaction, among others. The aim of our present study is to highlight the application of radio-collars for wildlife diseases monitoring. The spread of wildlife diseases and the efficacy of management actions for controlling them propose serious challenges for ecologists and conservationists, since it is difficult to re-capture (or simply observe) the same animal in pre-determined temporal interval, but such difficulty is overcome by the use of gps-gsm radio collars. METHODS: In the present study we report, for the first time to our knowledge, the use of radio-collars in the monitoring of Iberian ibex affected by Sarcoptes scabiei in Sierra Nevada mountain range, Spain. Twenty-five moderate or slightly mangy animals were radio-collared between 2006 and 2013. RESULTS: The radio-collars allowed us to confirm the presence of resistance to S. scabiei within Iberian ibex population. Twenty (80%) of the collared animals recovered totally from mange, while the disease progressed in the other five Iberian ibex (20% of the collared animals) and the animals died. The average estimated recovery time of the resistant animals was 245 ± 277 days, and the estimated average survival time of the non-resistant Iberian ibex was 121 ± 71 days. Non-resistant animals survived at least 100 days, while all of them died with less than 200 days. Sixty per cent of the resistant animals were recovered with less than 200 days. CONCLUSIONS: We report, for the first time, the successful use of radio collars for wildlife diseases monitoring using Iberian ibex/S. scabiei as a model. By using radio collars we documented that most of the Sarcoptes-infected Iberian ibex are resistant to this disease, and we estimated the average time for Iberian ibex recovering from mange infection and the average survival time of the non-resistant ones. We expect wider use of radio-collars for wild animals diseases monitoring, affected/not-affected animals interaction, and treatment efficacy, among others.

RFID in healthcare: a Six Sigma DMAIC and simulation case study.

PURPOSE: The purpose of this paper is to develop a business model to generate quantitative evidence of the benefits of implementing radio frequency identification (RFID) technology, limiting the scope to outpatient surgical processes in hospitals. DESIGN/METHODOLOGY/APPROACH: The study primarily uses the define-measure-analyze-improve-control (DMAIC) approach, and draws on various analytical tools such as work flow diagrams, value stream mapping, and discrete event simulation to examine the effect of implementing RFID technology on improving effectiveness (quality and timeliness) and efficiency (cost reduction) of outpatient surgical processes. FINDINGS: The analysis showed significant estimated annual cost and time savings in carrying out patients' surgical procedures with RFID technology implementation for the outpatient surgery processes in a hospital. This is largely due to the elimination of both non-value added activities of locating supplies and equipment and also the elimination of the "return" loop created by preventable post operative infections. Several poka-yokes developed using RFID technology were identified to eliminate those two issues. PRACTICAL IMPLICATIONS: Several poka-yokes developed using RFID technology were identified for improving the safety of the patient and cost effectiveness of the operation to ensure the success of the outpatient surgical process. ORIGINALITY/VALUE: Many stakeholders in the hospital environment will be impacted including patients, physicians, nurses, technicians, administrators and other hospital personnel. Different levels of training of hospital personnel will be required, based on the degree of interaction with the RFID system. Computations of costs and savings will help decision makers understand the benefits and implications of the technology in the hospital environment.

Close encounters in a pediatric ward: measuring face-to-face proximity and mixing patterns with wearable sensors.

BACKGROUND: Nosocomial infections place a substantial burden on health care systems and represent one of the major issues in current public health, requiring notable efforts for its prevention. Understanding the dynamics of infection transmission in a hospital setting is essential for tailoring interventions and predicting the spread among individuals. Mathematical models need to be informed with accurate data on contacts among individuals. METHODS AND FINDINGS: We used wearable active Radio-Frequency Identification Devices (RFID) to detect face-to-face contacts among individuals with a spatial resolution of about 1.5 meters, and a time resolution of 20 seconds. The study was conducted in a general pediatrics hospital ward, during a one-week period, and included 119 participants, with 51 health care workers, 37 patients, and 31 caregivers. Nearly 16,000 contacts were recorded during the study period, with a median of approximately 20 contacts per participants per day. Overall, 25% of the contacts involved a ward assistant, 23% a nurse, 22% a patient, 22% a caregiver, and 8% a physician. The majority of contacts were of brief duration, but long and frequent contacts especially between patients and caregivers were also found. In the setting under study, caregivers do not represent a significant potential for infection spread to a large number of individuals, as their interactions mainly involve the corresponding patient. Nurses would deserve priority in prevention strategies due to their central role in the potential propagation paths of infections. CONCLUSIONS: Our study shows the feasibility of accurate and reproducible measures of the pattern of contacts in a hospital setting. The obtained results are particularly useful for the study of the spread of respiratory infections, for monitoring critical patterns, and for setting up tailored prevention strategies. Proximity-sensing technology should be considered as a valuable tool for measuring such patterns and evaluating nosocomial prevention strategies in specific settings.

Fuzzy logic-based approach to detecting a passive RFID tag in an outpatient clinic.

This study is motivated by the observations on the data collected by radio frequency identification (RFID) readers in a pilot study, which was used to investigate the feasibility of implementing an RFID-based monitoring system in an outpatient eye clinic. The raw RFID data collected from RFID readers contain noise and missing reads, which prevent us from determining the tag location. In this paper, fuzzy logic-based algorithms are proposed to interpret the raw RFID data to extract accurate information. The proposed algorithms determine the location of an RFID tag by evaluating its possibility of presence and absence. To evaluate the performance of the proposed algorithms, numerical experiments are conducted using the data observed in the outpatient eye clinic. Experiments results showed that the proposed algorithms outperform existing static smoothing method in terms of minimizing both false positives and false negatives. Furthermore, the proposed algorithms are applied to a set of simulated data to show the robustness of the proposed algorithms at various levels of RFID reader reliability.

Understanding performance and behavior of tightly coupled outpatient systems using RFID: initial experience.

Understanding how clinical systems actually behave in an era of limited medical resources is critical. The purpose of this study was to determine if a radiofrequency-identification-based indoor positioning system (IPS) could objectively and unobtrusively capture outpatient clinic behavior. Primary outcomes were flowtime, wait time and patient/clinician face time. Two contrasting clinics were evaluated: a primary care clinic (PC) with templated scheduling and an urgent care clinic (UC) with unconstrained visit time and first-in, first-out scheduling. All staff wore transponders throughout the study period. Patients carried transponders from check in to check out. All patients and staff were allowed to opt out. The study was approved by hospital IRB. Standard descriptive and analytic statistical methods were used. Five hundred twenty-six patients (309 patients (PC), 217 patients (UC)) and 38 clinicians (eight (PC) and 30 (UC)) volunteered between April 30 and July 1, 2008. Total FT was not significantly different across clinics. PC wait time was significantly shorter (7.6 min [SD 15.8]) vs. UC (19.7 min [SD 25.3], p < 0.0001), and PC Face time was significantly longer (29.9 min, [SD 19.1] vs. UC (9.8 min [SD 8.5], p < 0.0001). PC Face time distributions reflected template scheduling structure. In contrast, face time distributions in UC had a smooth log normal distribution with a lower mean value. Our study seems to indicate that an IPS can successfully measure important clinic process measures in live clinical outpatient settings and capture behavioral differences across different outpatient organizational structures.

An RFID-based intelligent vehicle speed controller using active traffic signals.

These days, mass-produced vehicles benefit from research on Intelligent Transportation System (ITS). One prime example of ITS is vehicle Cruise Control (CC), which allows it to maintain a pre-defined reference speed, to economize on fuel or energy consumption, to avoid speeding fines, or to focus all of the driver's attention on the steering of the vehicle. However, achieving efficient Cruise Control is not easy in roads or urban streets where sudden changes of the speed limit can happen, due to the presence of unexpected obstacles or maintenance work, causing, in inattentive drivers, traffic accidents. In this communication we present a new Infrastructure to Vehicles (I2V) communication and control system for intelligent speed control, which is based upon Radio Frequency Identification (RFID) technology for identification of traffic signals on the road, and high accuracy vehicle speed measurement with a Hall effect-based sensor. A fuzzy logic controller, based on sensor fusion of the information provided by the I2V infrastructure, allows the efficient adaptation of the speed of the vehicle to the circumstances of the road. The performance of the system is checked empirically, with promising results.