OBJECTIVE: Unauthorized exit of emergency patients could cause serious safety problems in the emergency room. If the entry and exit of emergency patients can be monitored by RFID (Radio Frequency Identification) technology, such safety issues may be resolved. METHOD: We determined the fundamental requirements of the system for emergency patient safety, and chose an active RFID tag to conduct the recognition test. Subsequently, we performed the entrance recognition rate test and safety test using pacemakers. After developing the entrance management programs, we implemented the system in the emergency room and collected data for 6 months. RESULT: The overall success rate of the entrance recognition test was 99.5%, and during the safety test, pacemaker oversensing due to noise did not occur. We intended to fulfill the fundamental requirements in developing entrance management programs. A total of 508 patients were given RFID tags for the study period, and the recognition failure rate was 4.7%. "Alert" pop-ups occurred 62 times. CONCLUSION: An active RFID entrance management system would be very useful for safety management in emergency room because the system enables detection of the unauthorized exit of emergency patients in real. time.
Emergencies ; Humans ; Medical Records Systems, Computerized ; Noise ; Patient Identification Systems ; Patient Safety ; Radio Frequency Identification Device ; Safety Management

To treat the problem of identification performance and the complexity of the algorithm, we proposed a piecewise linear representation and dynamic time warping (PLR-DTW) method for ECG biometric identification. Firstly we detected R peaks to get the heartbeats after denoising preprocessing. Then we used the PLR method to keep important information of an ECG signal segment while reducing the data dimension at the same time. The improved DTW method was used for similarity measurements between the test data and the templates. The performance evaluation was carried out on the two ECG databases: PTB and MIT-BIH. The analystic results showed that compared to the discrete wavelet transform method, the proposed PLR-DTW method achieved a higher accuracy rate which is nearly 8% of rising, and saved about 30% operation time, and this demonstrated that the proposed method could provide a better performance.
Algorithms ; Biometric Identification ; methods ; Electrocardiography ; methods ; Humans ; Patient Identification Systems ; Pattern Recognition, Physiological

Patient identification (PI) errors have been one of the most serious global healthcare quality issues for patient safety. Errors in PI are the root causes of many adverse events. Patient identification is the very first International Patient Safety Goal; however the current healthcare system is not culturally or structurally organized for preventing PI errors. The general procedures for the prevention of PI errors include using at least two identifiers, checking of accurate wristbands, standardizing the PI process, and eliminating shortcuts. Standardized protocols such as a good surgical site mark, a surgical checklist, the mandatory 'time-out', and the rule of the five rights for safe medication should be applied. For example, the surgical checklists have significantly improved mortality and decreased complications from surgery. During patient interactions, patients should be treated as partners in efforts to prevent all avoidable harm in healthcare. For example, patients should state their identifiers rather than be asked to confirm their identifiers. All healthcare professionals should receive training in patient safety concepts and strategies to enhance patient participation. For the future prevention of PI errors, patient photographs on wristbands, barcodes, biometric markers, fingerprints, retina scans, radiofrequency identification chips, and framework checklists for identifying a range of clinical care processes will ideally be available to healthcare professionals for improving patient safety and clinical outcomes. The changes are sometimes not pleasant but if we have to accept the changes, the changes should be started from me for the safety of everyone and every time in all healthcare services.
Checklist ; Delivery of Health Care ; Dermatoglyphics ; Human Rights ; Humans ; Mortality ; Patient Identification Systems ; Patient Participation ; Patient Safety* ; Quality of Health Care ; Retina

Patient identification (PI) errors have been one of the most serious global healthcare quality issues for patient safety. Errors in PI are the root causes of many adverse events. Patient identification is the very first International Patient Safety Goal; however the current healthcare system is not culturally or structurally organized for preventing PI errors. The general procedures for the prevention of PI errors include using at least two identifiers, checking of accurate wristbands, standardizing the PI process, and eliminating shortcuts. Standardized protocols such as a good surgical site mark, a surgical checklist, the mandatory 'time-out', and the rule of the five rights for safe medication should be applied. For example, the surgical checklists have significantly improved mortality and decreased complications from surgery. During patient interactions, patients should be treated as partners in efforts to prevent all avoidable harm in healthcare. For example, patients should state their identifiers rather than be asked to confirm their identifiers. All healthcare professionals should receive training in patient safety concepts and strategies to enhance patient participation. For the future prevention of PI errors, patient photographs on wristbands, barcodes, biometric markers, fingerprints, retina scans, radiofrequency identification chips, and framework checklists for identifying a range of clinical care processes will ideally be available to healthcare professionals for improving patient safety and clinical outcomes. The changes are sometimes not pleasant but if we have to accept the changes, the changes should be started from me for the safety of everyone and every time in all healthcare services.
Checklist ; Delivery of Health Care ; Dermatoglyphics ; Human Rights ; Humans ; Mortality ; Patient Identification Systems ; Patient Participation ; Patient Safety* ; Quality of Health Care ; Retina

Rapid integration of information technology into health care systems has included the use of highly portable systems-in particular, personal digital assistants (PDAs). With their large built-in memories, fast processors, wireless connectivity, multimedia capacity, and large library of applications, PDAs have been widely adopted by physicians and nurses for patient tracking, disease management, medical references and drug information, enhancing a quality of health care. Many health-related PDA applications are available to both dietetics professionals and clients. Dietetics professionals can effectively use PDAs for client tracking and support, accessing to hospital database or information, and providing better self-monitoring tools to clients. Internship programs for dietetics professionals should include training in the use of PDAs and their dietetics applications, so that new practitioners can stay abreast of this rapidly evolving technology. Several considerations to keep in mind in selecting a PDA and its applications are discussed.
Delivery of Health Care ; Dietetics* ; Disease Management ; Humans ; Internship and Residency ; Multimedia ; Patient Identification Systems ; Quality of Health Care

In a PACS system, doctors can avoid the mistakes in filing chest radiographs by comparing the new image with the old ones from the same patient. An automatic method with digital image processing technology is introduced in the paper, which is realized by general location of anatomical structures, local image registration and BP artificial neural network, so as to achieve good results for identity recognition.
Neural Networks (Computer) ; Patient Identification Systems ; Radiographic Image Interpretation, Computer-Assisted ; methods ; Radiography, Thoracic ; methods

This paper describes a patient security detection system developed with two dimensional bar codes, wireless communication and removal storage technique. Based on the system, nurses and correlative personnel check code wait operation patient to prevent the defaults. The tests show the system is effective. Its objectivity and currency are more scientific and sophisticated than current traditional method in domestic hospital.
Automatic Data Processing ; organization & administration ; Computer Communication Networks ; Humans ; Operating Room Information Systems ; organization & administration ; Patient Identification Systems ; methods ; Quality Assurance, Health Care ; methods ; Safety

PURPOSE: This research was an empirical study designed to identify precursors and interaction effects related to nurses' patient identification behavior. A multilevel analysis methodology was used. METHODS: A self-report survey was administered to registered nurses (RNs) of a university hospital in South Korea. Of the questionnaires, 1114 were analyzed. RESULTS: The individual-level factors that had a significantly positive association with patient identification behavior were person-organization value congruence, organizational commitment, occupational commitment, tenure at the hospital, and tenure at the unit. Significantly negative group-level precursors of patient identification behavior were burnout climate and the number of RNs. Two interaction effects of the person-organization value congruence climate were identified. The first was a group-level moderating effect in which the negative relationship between the number of RNs and patient identification behavior was weaker when the nursing unit's value congruence climate was high. The second was a cross-level moderating effect in which the positive relationship between tenure at the unit and patient identification behavior was weaker when value congruence climate was high. CONCLUSION: This study simultaneously tested both individual-level and group-level factors that potentially influence patient identification behavior and identified the moderating role of person-organization value congruence climate. Implications of these results are discussed.
Adult ; Attitude of Health Personnel ; Female ; Humans ; Interprofessional Relations ; Male ; Middle Aged ; Nursing Staff, Hospital/organization & administration/*psychology ; Organizational Culture ; *Patient Identification Systems ; Questionnaires ; Workplace