Bar Code Research Articles

Dental Implant Identification Methods

Dental implants are a well-accepted prosthetic alternative for missing teeth. After implant restoration, they will need maintenance in due course of time due to biological and mechanical complications, during which information about the implant system is required. Until today there is no well-established method for implant identification and conventional tools such as interpretation from radiographs need time and effort. Researchers have proposed several methods for implant identification and the review focuses on a comprehensive discussion of the proposed methods. For this review, comprehensive data from databases, including PubMed, Scopus, Web of Science, Cochrane, and Google Scholar, was thoroughly examined ensuring the most up-to-date and relevant information regarding implant identification. The proposed methods include an interpretation from radiographs based on the implant design specifications listed, implant records, implant recognition software, retrieving implant information through a wireless reader from a radiofrequency chip fitted into an implant screw hole, QR-encoded implant identification wallet, bar code encryption by implant manufacturers, incorporating laser-etched batch and serial numbers in implant collars, Sharma Jhingta system of implant identification and artificial intelligence methods. Amongst existing methods, AI research shows potential in offering a quick and accurate method of implant identification however developing a robust AI model with a comprehensive database is a complex task and requires considerable effort and time.

Construction of an Iterated Function System on ℝ2 whose Attractor is a QR Code

A QR code is a two-dimensional bar code that encodes a message into a finite collection of black and white squares which are arranged in a square region with a specific order. Considering a QR code as a compact subset of R 2 , we construct an Iterated Function System (IFS) on R 2 whose attractor is the given QR code.

Fruit and vegetable self-billing system based on image recognition

Introduction: Shopping centers have become a necessary aspect of living, especially for city dwellers. To realize the identification and settlement of fruits and vegetables lacking bar codes is a major problem in supermarket self-service settlement. Methods: In this study, we proposed a novel Garra Rufa fish-optimized multi-objective convolutional neural network (GRFO-MCNN) for fruit and vegetable detection and freshness recognition. To improve feature identification performance, the GRFO-MCNN integrates the CBAM, which consists of the CAM and the SAM. Freshness recognition and fruit and vegetable detection are greatly enhanced by the CBAM by focusing on pertinent regions of images. Results: The proposed model integrate with the automated settlement system which transform the fruits and vegetable purchases by streamline identification and payment process. The Raspberry Pi, a microcontroller with a camera unit, makes up the suggested model to automate the billing system. For this study, we used a Raspberry Pi module to automatically acquire image data of fruits and vegetables. Conclusions: The suggested approach is contrasted with the other traditional approaches. The result shows the suggested approaches outperformed in accuracy (0.93), MAE (0.11), and RMSE (0.53). The fruits and vegetables that are arranged for automatic weighing are captured by the camera module. The microprocessor receives as an input the cost of various products per kilogram automatically. Consequently, the Raspberry Pi automatically calculates and shows the overall lprice of the products on the monitor

Improved Nursing Workload by Introducing a Traceability System to Manage Medical Materials.

This paper reports a case study in which an improvement in nursing work was achieved through the introduction of a traceability system compatible with radio-frequency identification (RFID) and bar codes for the management of medical materials. In verifying the RFID-based system in an operating room, the work time was reduced to approximately one-tenth of that of barcode reading. In the catheterization laboratory, a system consisting of a cartel management system utilizing bar codes and an RFID-compatible inventory management cabinet was introduced. The system eliminates the need to cut and paste packages onto vouchers after the cases are completed and digitizes the data sent to the medical affairs department for secure billing. We are implementing this system at many facilities, and, in addition to improving the work of nurses, we are taking new steps to improve hospital management through data linkage.

Complex Patterns of Antihypertensive Treatment Changes in Long-Term Care Residents

ObjectivesAntihypertensive treatment changes are common in long-term care residents, yet data on the frequency and predictors of changes are lacking. We described the patterns of antihypertensive changes and examined the triggering factors. DesignRetrospective cohort study. Setting and ParticipantsA total of 24,870 Department of Veterans Affairs (VA) nursing home residents aged ≥65 years with long-term stays (≥180 days) from 2006 to 2019. MethodsWe obtained data from the VA Corporate Data Warehouse. Based on Bar Code Medication Administration medication data, we defined 2 types of change events in 180 days of admission: deprescribing (reduced number of antihypertensives or dose reduction of ≥30% compared with the previous week and maintained for at least 2 weeks) and intensification (opposite of deprescribing). Mortality was identified within 2 years after admission. ResultsMore than 85% of residents were prescribed antihypertensives and 68% of them experienced ≥1 change event during the first 6 months of the nursing home stay. We categorized residents into 10 distinct patterns: no change (27%), 1 deprescribing (11%), multiple deprescribing (5%), 1 intensification (10%), multiple intensification (7%), 1 deprescribing followed by 1 intensification (3%), 1 intensification followed by 1 deprescribing (4%), 3 changes with mixed events (7%), >3 changes with mixed events (10%), and no antihypertensive use (15%). Treatment changes were more frequent in residents with better physical function and/or cognitive function. Potentially triggering factors differed by the type of antihypertensive change: incident high blood pressure and cardiovascular events were associated with intensification, and low blood pressure, weight loss, and falls were associated with deprescribing. Death occurred in 7881 (32%) residents over 2 years. The highest mortality was for those without antihypertensive medication (incidence = 344/1000 person-years). Conclusions and ImplicationsPatterns of medication changes existing in long-term care residents are complex. Future studies should explore the benefits and harms of these antihypertensive treatment changes.

Information encryption driven by strength-switchable circular dichroism in vanadium dioxide based chiral metasurfaces

Switchable polarization selectivity in reconfigurable metasurfaces is highly required in the field of information encryption. In this paper, we proposed a scheme of information encryption by using the giant and strength-switchable circular dichroism (CD) in VO2-based chiral metasurfaces in the mid-infrared region. A bar code information is encrypted and hidden into a VO2-based bielliptic cylinder (BC) and bielliptic cylinder enantiomer (BCE) constructed array. The metallic VO2-based BC and BCE arrays with the rotation angles (α=±14°) exhibit opposite CD (−0.94/0.94) at 6330 nm. With the VO2 transition from metallic to insulator phase, the giant polarization selectivity of both BC and BCE arrays will disappear. Hence, only when the specific environment temperature (>68 °C) and polarization state of incident light (LCP) are simultaneously satisfied, the secret information could be decrypted. The reversible CD in VO2-based chiral metasurfaces possesses great potentials for the application of optical information encryption.

Development of a crowdsourcing- and gamification-based mobile application to collect epidemiological information and promote healthy lifestyles in Mexico

We developed a mobile application to promote healthy lifestyles and collect non-communicable disease (NCD) data in Mexico. Its theoretical foundations are supported by a framework-guided literature review. With design sprints, Scrum, Model-View-Controller, and Representational State Transfer architecture, we operationalized evidence-based nutrition/physical activity information into a crowdsourcing- and gamification-based application. The application was piloted for three months to monitor the response of 520 adults. Potential improvements were characterized, considering benchmarking, expert guidance, and standards. Salud Activa (English: Active Health) has two crowdsourcing modules: Nutritional scanner, scanning products' bar codes, providing nutritional data, and allowing new product registry feeding our databases; Surveys, comprising gradually-released NCD questions. Three intervention modules were generated: Drinks diary, a beverage assessment component to receive hydration recommendations; Step counter, monitoring users’ steps via Google Fit/Health—iOS; Metabolic Avatar, interconnecting modules and changing as a function of beverage and step records. The 3-month median of Salud Activa use was seven days (IQR = 3–12), up to 35% of participants completed a Survey section, and 157 food products were registered through Nutritional scanner. Better customization might benefit usability and user engagement. Quantitative and qualitative data will enhance Salud Activa’s design, user uptake, and efficacy in interventions delivered through this platform.

Sprint Team Approach Yields Rapid Improvement in Leapfrog Quality Indicators.

Patient safety and quality care are two critical areas that every healthcare organization strives to grow and improve upon. At Scripps Health, specific efforts reviewed for this article were implemented to reduce hospital-acquired conditions and hospital readmissions that are components of Centers for Medicare & Medicaid Services programs and Leapfrog Hospital Survey scores. Sprint teams, a novel approach to rapidly develop a checklist for lower-performing care improvement areas, were implemented after an internal review of existing tools and an evidence-based literature review. These areas included catheter-associated urinary tract infections (CAUTIs), central-line associated bloodstream infections (CLABSIs), Clostridioides difficile (C. diff.) and methicillin-resistant Staphylococcus aureus (MRSA) infections, chronic obstructive pulmonary disease (COPD) and heart failure readmissions, surgical site infections and handwashing, bar coding, and the computerized physician order entry components of Leapfrog scoring. The checklist for each area served as a teaching tool for staff and a guideline for case review to ensure that standard work was routinely performed. The sprint teams showed dramatic results in the initial focus areas. From a baseline standardized infection ratio (SIR) of 1.141 for CLABSIs, the sprint team reduced the SIR to 0.885 in Year 1 of the program and to 0.687 in Year 2. For CAUTIs, the SIR decreased from a baseline of 1.391 in Year 1 to 0.720 in Year 2. C. diff. infections fell from 0.422 to 0.315 in Year 1 and to 0.260 in Year 2. While the MRSA SIR did not improve during the first year, the MRSA reduction sprint team showed success in Year 2 with a decrease in the SIR from 0.537 to 0.245. Readmission reduction sprint teams focused on heart failure, COPD, and total hip and knee complications. The teams also achieved positive results in reducing readmissions by following checklists and reviewing each readmission case for justification. Rapid change can be safely and effectively implemented with multidisciplinary sprint teams. Developed with an evidence-based, case review approach, sprint team checklists can help to standardize processes for the review of any infections or readmissions that occur in the inpatient arena.

Beyond Hospital-Level Aggregated Data: A Methodology to Adapt Clinical Data From the Electronic Health Record for Nursing Unit-Level Research.

Studies of nurse staffing frequently use data aggregated at the hospital level that do not provide the appropriate context to inform unit-level decisions, such as nurse staffing. Describe a method to link patient data collected during the provision of routine care and recorded in the electronic health record (EHR) to the nursing units where care occurred in a national dataset. We identified all Veterans Health Administration acute care hospitalizations in the calendar year 2019 nationwide. We linked patient-level EHR and bar code medication administration data to nursing units using a crosswalk. We divided hospitalizations into segments based on the patient's time-stamped location (ward stays). We calculated the number of ward stays and medication administrations linked to a nursing unit and the unit-level and facility-level mean patient risk scores. We extracted data on 1117 nursing units, 3782 EHR patient locations associated with 1,137,391 ward stays, and 67,772 bar code medication administration locations associated with 147,686,996 medication administrations across 125 Veterans Health Administration facilities. We linked 89.46% of ward stays and 93.10% of medication administrations to a nursing unit. The average (standard deviation) unit-level patient severity across all facilities is 4.71 (1.52), versus 4.53 (0.88) at the facility level. Identification of units is indispensable for using EHR data to understand unit-level phenomena in nursing research and can provide the context-specific information needed by managers making frontline decisions about staffing.

Financial Modeling Based on Book Store Management

The old billing software’s used in supermarkets, will have a lot of manual work and they don’t have the capacity to produce reports needed. The Billing software designed can generate a lot number of reports needed and there is no need of manual work. This billing software is a web application, it can store a lot of records in the database and the bar code scanner are also available. It’s a user-friendly software which can be used for both wholesale and Retail. It has an unlimited storage and application can be used in both online and offline. Reports for billing can be generated by data wise or price wise.

RANCANG BANGUN SISTEM PRESENSI KULIAH MENGGUNAKAN QRCODE BERBASIS ESP32CAM

Rapid Response Codes are a kind of digital bar code that are becoming more and more popular since they can store a lot of data fast and in big quantities. This research aims to design a device for collecting attendance data using QR codes. This QR code contains information about the user's identity and location when used. We may determine the user's distance from the designated area using this location data. This location information is used to find out how far the user is from the area we have set.The presence method used the ESP Cam device to scan a QR code from the user which contains information on student identification number, date and location (latitude and longitude).Before scanning the QR code, users must confirm via the Telegram application which has been prepared in advance to carry out the attendance process at each class session.Ifthe information matches that is stored in the database and the user's location is still within the radius of the reader device, the user's identity data is then uploaded to the online presence system.After the hardware and software have been prepared, it continues with testing on Electrical Engineering students at Muhammadiyah University of Surakarta as attendance at the Electrical Engineering Laboratory.Scanning this QR code takes an average reading time of 3.5 seconds with the fastest estimated time being 3 seconds and the longest 5 seconds.

SYSTEMATIC LITERATURE REVIEW: PERAN PENERAPAN SIMKAH (SISTEM INFORMASI MANAJEMEN NIKAH) TERHADAP KUALITAS PELAYANAN PUBLIK DI KUA

This systematic literature review research explains the application of the marriage management information system (SIMKAH). The presence of an application in marriage data collection called the Marriage Management Information System or SIMKAH which has begun to be applied in various religious affairs offices (KUA). This system is useful for collecting all marriage data from every KUA in Indonesia online and offline, data stored in KUA (in the form of files), ministries of religion (soft files), ministries of home affairs (population data), ministries of finance (financial transaction data). This Marriage Card is an additional proof of document from KUA which has a digital-based bar code, if scanned by a married couple, complete information data will appear regarding marital status, name, date, photo of the bride and groom, and place of marriage. The results showed that the application of SIMKAH in the Digital Marriage Card service at KUA provides convenience, fast procedures, fast and effective validation. SIMKAH has begun to be used publicly and effectively and in 2018 it can print Digital Marriage Cards so that the bride and groom get two documents after carrying out the marriage contract, namely the marriage book and marriage card. The implementation of programs in this digital era, of course, is very beneficial for the benefit of the community.

THE EFFECTS OF REIMPLEMENTING A BIOMETRIC ATTENDANCE MONITORING SYSTEM IN THE ELECTRONICS ENGINEERING DEPARTMENT AT DON HONORIO VENTURA STATE UNIVERSITY

Monitoring the attendance of staff and employees holds paramount importance in organizational settings. This can be accomplished either manually, using logbooks and daily time records, or automatically through advanced technologies such as radio frequency identification, biometrics, and bar code scanners. Biometrics attendance monitoring systems, in particular, offer a range of benefits, including heightened security, accuracy, convenience, scalability, time efficiency, compliance, and accountability. This research paper elucidates the advantages of the biometric system, examining its impact on the employees of the Electronics Engineering Department at Don Honorio Ventura State University during the 1st Semester of the Academic Year 2023-2024. The Biometrics Attendance System proves to be exceptionally effective and efficient, gaining a consensus of 92% among participants regarding its positive impacts. Ratings consistently hover at 4 or 5 for efficiency, underscoring the streamlined processes. Accessibility earns a positive average score of 80%, and privacy measures receive an equally commendable average score of 82%. While the system generally contributes positively to managing absenteeism, an outlier score of 1 from a participant prompts further investigation. In conclusion, the Biometrics Attendance System excels in effectiveness, efficiency, and user satisfaction, positioning itself as a secure, accurate, and convenient solution. This becomes especially relevant as the Electronics Engineering Department integrates the biometric system, reaping benefits in terms of security, accuracy, and time efficiency. However, it's noteworthy that the implementation of the biometrics attendance system correlates with an increase in faculty absenteeism. Addressing specific concerns identified in the Manual Attendance System could guide targeted improvements for a more comprehensive and satisfactory attendance monitoring system overall.

Evaluation of the Use of Dedicated Technicians and Bar Code Scanning Technology for Fortified Human Milk Feeding Preparation in a Single Neonatal Intensive Care Unit to Reduce Risk of Adverse Events

Evaluation of the Use of Dedicated Technicians and Bar Code Scanning Technology for Fortified Human Milk Feeding Preparation in a Single Neonatal Intensive Care Unit to Reduce Risk of Adverse Events

The Use of Descriptive Analytics to Improve Nursing Compliance with Bar Code Medication Administration in the Outpatient Setting

The Use of Descriptive Analytics to Improve Nursing Compliance with Bar Code Medication Administration in the Outpatient Setting

Shopping Redefined: An Innovative System with Barcode Scanning and Bill Display

This paper presents the development of automated shopping cart for supermarkets. This automated shopping cart reduces the shopping time of customer. This project works on Arduino UNO microcontroller, bar code scanner for scanning the products and LCD to display the billing. Hence it works with low cost, low power consumption. So that customers can enjoy shopping without pushing trolley themselves.

Fully Automated Paper Document Sorting Robot Design

A fully automated paper document sorting robot was developed in this project. This robot classifies documents efficiently and accurately. The objective of this project was to improve the efficiency of classifying or sorting paper documents, reduce costs, and save time. The robot can classify documents according to user-defined rules, such as keywords, dates, serial numbers, bar codes, and the meaning of paragraphs. Since it can classify or sort documents intelligently, it can complete large-scale document classification quickly. The robot is constructed using an aluminum profile to create a box-type truss gantry structure frame. It was built on the LubanCat 4 motherboard and controlled through Python language programming. Driven by a stepper motor to move the manipulator. The camera module is combined with an artificial intelligence algorithm to recognize paper in real time, and the text is recognized after taking pictures of the paper. The sorting function is performed by several sensors. In addition, a web-based human-computer interaction platform was developed using the Flask web framework in Python. Users could access this platform in a variety of ways, allowing them to easily and swiftly configure parameters and send operational instructions to perform various functions.

Inventory Control Mechanism of the Pharmacy Store of a Recently Established National Institute in Eastern India: A Cross-Sectional, Investigative Analysis.

Background New establishments frequently face challenges. Pharmacy is integral to healthcare delivery institutes, and inventory management is crucial. The present study investigated the problems faced by the pharmacy of a newly established health institute and proposed relevant solutions to identify drugs needing stringent management control. Methods Responses were collected from seven pharmacists for questionnaires focusing on pharmacy problems and possible solutions. Always better control (ABC), vital essential desirable (VED), and ABC-VED matrix analysis were done on the drugs dispensed during the financial 2022-23. Results The predominant challenges identified were stockouts and shortages, expiry of medications, and supplier-related issues. The causes were mainly related to rural location, communication hurdles, and vendor management. Proposed solutions were integrating patients' electronic health records and bar code technology with the pharmacy's inventory management system, conducting pharmacy knowledge and skills upgradation sessions every six months, adopting ABC and VED analysis, and first-in first-out (FIFO), just-in-time (JIT). Total annual drug expenditure (ADE) for the drugs dispensed was 1,18,81,520 Indian Rupees.ABC analysis revealed 109 (22.8%), 115 (24.06%), and 254 (53.14%) of medicines as A, B, and C categories, respectively, accounting for 69.98, 20.00, and 10.07% of ADE. On ABC-VED matrix analysis, 125 (26.15%), 267 (55.86%), and 86 (17.99%) of drugs were found to be category I, II, and III items, respectively, accounting for 71.52, 23.84, and 4.64% of ADE. Conclusion Our study identified different pharmacy problems for a developing institute and suggested relevant measures. Categorization of drugs based on ABC and VED analysis will help to strengthen inventory control.

Durable and sustainable smart tags for identity management and condition monitoring: Case study for reusable packaging and recyclable data carriers

AbstractReusable packaging has been used as a case study for development of durable and sustainable smart tags that can provide both identity management and potentially also condition monitoring capabilities. Four different smart tag technologies have been investigated, including laser engraved 2D bar codes, printed 2D bar codes with combined temperature indicator, printed NFC (Near‐Field Communication) tags and RFID (Radio Frequency Identification) tags as labels. All technologies showed excellent durability towards repeated washing and heating when protective layers were used. SWOT analysis was also carried out to weight the advantages and disadvantages of the different technologies summarizing the choice of the technology per use and end‐of‐life requirements. Sustainability of the investigated technologies is discussed from the smart tag recyclability perspective and the challenges that can be seen related to the use of electronic functionalities and/or plastic‐based protective layers.

Degree of technological implementation in intravenous chemotherapy management in hospitals of the Autonomous Community of Madrid

ObjectiveTo understand the degree of technological implementation in the processes of preparation and administration of cytostatics drugs that is available in those hospitals of the Autonomous Community of Madrid where intravenous chemotherapy is prepared. MethodA descriptive observational study through the completion of a survey targeted to the staff responsible for the preparation of this type of treatments. ResultsThe degree of implementation of assisted electronic prescription is high, there is a medium degree in the case of bar code reading technology, and low in terms of vial re-labelling and gravimetric and voice control for preparation. ConclusionsThere is a large room for improvement regarding traceability in the process of preparation and administration of intravenous chemotherapy.