Error Notification Research Articles

Analisis Pengaruh Faktor Persepsi Kemudahan, Publikasi, Kenyamanan Akses Dan Kepercayaan Terhadap Minat Beli Tiket Menggunakan Aplikasi Mobile Kai Access (Studi pada pengguna aplikasi KAI Access di Garut)

The background of this research is that many users of the KAI Access mobile application complain about the difficulty of using some of the features provided, such as difficulty logging into the KAI Access mobile application, frequent loading when making payments, server down and lack of agility in making repairs, few payment options.the user interface which is considered difficult to understand to the error notification where it is not clear where the error is. This study aims to determine the effect of perceived convenience, publication, convenience of access and trust partially on purchase intention. The population in this study were users of the KAI Access mobile application and the sample for this study was 100 respondents. The sampling technique is nonprobability sampling with the type of sampling that is purposive sampling. Data analysis used in this study was descriptive analysis and quantitative analysis, data were analyzed using multiple linear regression analysis with the help of (software) Statistical Package for Social Science (SPSS) version 26. The results of research by testing the hypothesis t-test showed that perceived ease of use, publication, ease of access and trust have a positive and significant effect on purchase intention. Based on the research results, it can be seen that the research model of the multiple linear regression equation is:Y= -1.735 + 0.291.X1 + 0.256.X2 + 0.247.X3 + 0.335.X4 + μ The results of the equation show that the Perceived Convenience variable (X1) has (t count 3.442 > t table 1.984), the Publication variable (X2) has (t count 2.398 > t table 1.984), the Ease of Access variable (X3) has (t count 2.892 > t table 1.985) and the variable Trust (X4) has (t count 4.802 > t table 1.984). As for the value of Adjusted R2 = 0.619. This means that 61.9% of the variation in the dependent variable (Y), namely Purchase Intention, is explained by the independent variables, namely Perceived Convenience, Publication, Convenience of Access and Trust. The remaining 100% - 61.9% = 38.1%, other variables not proposed in this study.

Data-Driven Analysis of Construction Bidding Stage–Related Causes of Disputes

Construction bidding is a complex process that involves several potential risks and uncertainties for all the stakeholders involved. Such complexities, risks, and uncertainties, if uncontrolled, can lead to the rise of claims, conflicts, and disputes during the course of a project. Even though a substantial amount of knowledge has been acquired about construction disputes and their causation, there is a lack of research that examines the causes of disputes associated with the bidding phase of projects. This study addresses this knowledge gap within the context of infrastructure projects. In investigating and analyzing the causation of disputes related to the bidding stage, the authors implemented a multistep research methodology that incorporated data collection, network analysis (NA), spectral clustering, and association rule analysis (ARA). Based on a manual content analysis of 94 legal cases, the authors identified a comprehensive list of 27 causes of disputes associated with the bidding stage of infrastructure projects. The NA results indicated that the major common causes leading to disputes in infrastructure projects comprise inaccurate cost estimates, inappropriate tender documents, nonproper or untimely notification of errors in a submitted bid, nonproper or untimely notification of errors in tender documents, and noncompliance with Request for Proposals’ (RFP) requirements. Upon categorizing and clustering the causes of disputes, the ARA results revealed that the most critical associations are related to differing site conditions, errors in submitted bids, unbalanced bidding, errors in cost estimates, and errors in tender documents. This study promotes an in-depth understanding of the causes of disputes associated with the bidding phase within the context of infrastructure projects, which should better enable the establishment of proactive plans and practices to control these causes as well as mitigate the occurrence of their associated disputes during project execution.

The student records of the University of Coimbra (1537-1919)

The University of Coimbra keeps to this day the academic records of students since 1537. In the years 1940-50 a card file of student information was created, known as the “Ficheiro de Alunos”. The catalogue contains records from 1537, when the university was relocated from Lisbon to Coimbra, up to 1908. The amount of information varied over time, containing name, first and last date on record, place of origin, school, years of enrolment, degrees obtained, and results of exams or other proofs of proficiency. Many records also contain notes such as titles (for instance indicating nobility), religious order, and college of residence. In the years 2013-15, the contents of the card files were input in an archival management system, giving the old records a new digital life. Currently, around 105,000 records are available online, reachable through search engines. This paper addresses two limitations of the current online catalogue: first the academic information in the paper cards was transcribed as a single text field preventing the usage of structured queries and any type of non-trivial data analysis; secondly the opportunity of the University Archive to improve the catalogue through the cooperation of its users lacks a collaborative model that can scale. This article contributes solutions to both issues: we present algorithms to extract information from the records and produce representations in line with current data science paradigms, allowing a wide range of interesting analysis of the data; we also demonstrate how tools and cooperation models developed in the open source community can provide an environment for collaborative efforts ranging from the notification of simple errors to the addition of semantic web representations for linked data, harnessing the knowledge dispersed by many researchers working on this unique repository of data. xxxxxxxxxxxxx

Capturing and Improving Case Charge Accuracy in Robotic Surgery Programs.

The robotic platform offers many benefits to patients and surgeons; however, incorporating this new surgical tool has also introduced challenges in intraoperative documentation accuracy. In 2019, we began to investigate our institution's robotic intraoperative supply documentation accuracy. We identified a 60% case error rate between the robotic items logged by the operating room staff in the electronic medical record and the true robotic items used for a case as logged on the Intuitive platform. This can be a widespread and unrecognized problem for other organizations as well. We then addressed this problem through patient safety and quality improvement-based interventions including error notification to operating room personnel, a barcode scanning system, peer-to-peer education, improving robotic item descriptions, and procedure receipt messaging. These interventions helped us decrease our institution's case error rate from 60% to 16.9% during the past 2 years, which generated a cumulative 2.1% net increase in our billed robotic items, through the addition and/or subtraction of robotic items from each case. Through our multiple interventions, we have created a robust, flexible, and efficient item-capturing system for robotic surgery cases.

Using Internet of things technology to construct an integrated intelligent sensing environment for long-term care service

In the current long-term care environment, there is a shortage of manpower and a high turnover rate of staff. Therefore, residential institutions are eager to build an effective Internet of Things integration mechanism to assist institutions with automatic sensor detection and early warning capabilities. Although Internet of Things facilities have enabled prompt notification and warning of emergency events, the following problems exist when implementing Internet of Things in the facilities: (1) low compatibility between sensors has led to excessive installation costs; (2) warning systems that are based on fixed threshold values and lack of flexibility can cause false or omitted reports that result in the incapability of reflecting real conditions and additional labor costs would be required. This study uses a medical-grade Internet of Things module that can calculate the environmental values with edge computing to generate different levels of alarms by combining the index-weighted moving average method to dynamically calculate the optimal threshold value for the environment. It takes 2 months to collect data from care institutions. The average F1-Score obtained in different environments is between 0.46 and 0.88. The results show that compared with using a fixed threshold, this method can effectively reduce sensor error notifications and missed notifications.

An Effective Control of Hello Process for Routing Protocol in MANETs

In the mobile ad hoc network (MANET) update of link connectivity is necessary to refresh the neighbor tables in data transfer. A existing hello process periodically exchanges the link connectivity information, which is not adequate for dynamic topology. Here, slow update of neighbour table entries causes link failures which affect performance parameter as packet drop, maximum delay, energy consumption, and reduced throughput. In the dynamic hello technique, new neighbour nodes and lost neighbour nodes are used to compute link change rate (LCR) and hello-interval/refresh rate (r). Exchange of link connectivity information at a fast rate consumes unnecessary bandwidth and energy. In MANET resource wastage can be controlled by avoiding the re-route discovery, frequent error notification, and local repair in the entire network. We are enhancing the existing hello process, which shows significant improvement in performance.

Nurses’ Perceptions on the Implementation of a Safe Drug Administration Protocol and Its Effect on Error Notification

Patient safety and quality of care are fundamental pillars in the health policies of various governments and international organizations. The purpose of this study is to evaluate nurses’ perceptions on the degree of implementation of a protocol for the standardization of care and to measure its influence on notification of adverse events related to the administration of medications. This comparative study used data obtained from questionnaires completed by 180 nurses from medical and surgical units. Our analyses included analysis of variance and regression models. We observe that the responses changed unevenly over time in each group, finding significant differences in all comparisons. The mean response rating was increased at 6 months in the intervention group, and this level was maintained at 12 months. With the new protocol, a total of 246 adverse events and 481 incidents without harm was reported. Thus, actions such as the use of protocols and event notification systems should be implemented to improve quality of care and patient safety.

BIT ERROR NOTIFICATION AND ESTIMATION IN REDUNDANT SUCCESSIVE-APPROXIMATION ADC

The article is devoted to research on the possibilities to use redundant number systems for bit error notification in a successive-approximation ADC during the main conversion mode. The transfer function of a successive-approximation ADC with a non-binary radix is analyzed. If the radix is less than 2, not all possible code combinations appear on the converter output. The process of formation of unused combinations is investigated. The relationship between the bit’s deviations and the list of unused combinations is established. The possibilities of estimating the bit error value without interrupting the process of analog-to-digital conversion is considered.

A low-cost web-based smart street lighting geographical information system for smaller towns and villages

AbstractThe use of LED lights in smart street lighting to save energy is efficient and very common in many developed cities. However, such a system results in higher initial costs, which may discourage smaller towns and villages from its purchasing. This paper therefore deals with the design and development of a smart street lighting control system for smaller cities and villages. Such a system is required to be economical from the perspective of development and production. Considering other requirements such as platform independence, high availability and broad support, we proposed to build a system as a web application using a custom light control service component. The result is a web application that consists of a user interface served by a web server and an application server used to communicate with light control service. In addition, the system is designed as a geographical information system to be easy to use for managing street lights in groups or individually, while displaying them on the map. The system allows automatic sensor-based light intensity modulation by default with the possibility of manual adjustment or override of the illumination. It also includes a device error notification system with a tool to navigate faulty devices. The presented system is a low-cost solution for intelligent street lighting control designed for smaller cities or villages. They can apply the designed architecture of the system and the specific technologies suitable because of their low-cost implementation.

Medical safety reporting system neccessity and analysis of Turkey 2016 data: A health policy report.

The National Safety Reporting System, which is developed for Turkey, aims to classify medical errors with a coding methodology that handles errors in subcategories. Error entries done via the system are added to the statistics immediately by advanced live data reporting capabilities of the software. Our aim was to provide information about the Turkey local reporting system to ensure patient safety by detecting medical errors. The data used for analyses were obtained from https://www.grs.saglik.gov.tr and the web service used by hospital information systems. The error reporting time, most commonly reported errors, errors by professions and errors by location were examined under the major error categories and percentages that have been used in relevant data. In total, 53,477 errors were submitted to the National Safety Reporting System in 2016. When these entries were split into relevant categories such as drug errors, laboratory errors, surgical errors and patient safety errors, the most common errors were wrong dosage order, hemolyzed sample, not marking the side to be operated on and patient fall (patient/caretaker related), respectively. In order to reduce medical errors and provide patient safety, every institution must first of all do its own self-assessment. New user-friendly systems can be developed in order to increase medical error notifications and thus institutions can improve their healthcare quality.

Error reporting and the performance of nursing management: a game-theoretic study

AbstractThe interaction between nurses and their managers is a very important factor in nurses’ error reporting behaviour, which is crucial to improving patient safety in healthcare organizations. However, little theoretical work has been undertaken to analyse this interaction. This paper uses a game-theoretic principal–agent framework with asymmetric information to study this interaction. We suppose that the principal (the nurse manager) asks the agent (the nurse) to perform a task with a certain patient. In case a mistake is made while treating the patient, the nurse has to decide whether to report it to the manager, who can observe whether the patient suffered an accident. We consider different manager’s leadership styles and analyse their performance in obtaining error notification from nurses in this framework.

Impact of nucleic acid amplification test on pulmonary tuberculosis notifications and treatments in Taiwan: a 7-year single-center cohort study

BackgroundNucleic acid amplification tests (NAAT) have been used as a diagnostic tool for pulmonary tuberculosis (PTB) in Taiwan for many years. In accordance with Taiwanese legislation, health care personnel are required to notify the Centers for Disease Control and Prevention (CDC) in case of suspected PTB. This study aimed to investigate the impact of NAAT(Gen-Probe) on the notification system for PTB and anti-tuberculosis treatments in Taiwan.MethodsA retrospective study on the impact of NAAT (Enhanced Amplified Mycobacterium tuberculosis Direct Test [E-MTD], Gen-Probe, San Diego, CA, USA) [NAAT(Gen-Probe)] was carried out at Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation from March 2011 to December 2017. During the study period, microscopic acid-fast-bacilli smears and mycobacterial cultures were available for PTB diagnosis. NAAT(Gen-Probe) was first introduced at the hospital in January 2014 for use as a diagnostic method for PTB. Positive sputum culture was considered as the gold standard for PTB diagnosis. We excluded clinically-diagnosed PTB cases.ResultsWhen NAAT(Gen-Probe) was applied, the rate of error notification to CDC decreased from 64.3 to 7.0% (P < 0.001), and unnecessary anti-TB treatments administered to suspected cases decreased from 14.9 to 6.5% (P = 0.005). In the non-PTB group, the mean duration of unnecessary anti-TB treatments changed from 38.9 ± 38.3 days to 37.0 ± 37.9 days (P = 0.874). In the PTB group, the mean time from notifying CDC to initiating treatment decreased from 3.05 ± 6.95 days to 1.48 ± 1.99 days (P = 0.004). The sensitivity, specificity, positive predictive value, and negative predictive value of NAAT(Gen-Probe) were 99.0, 92.3, 99.0, and 92.3%, respectively.ConclusionsUse of NAAT(Gen-Probe) led to decrease in the rate of error notification of suspected PTB cases to the CDC, avoidance of unnecessary use of anti-TB treatments, and accelerated initiation of appropriate treatments.

Evaluation of the detection and correction properties of the reference dictionary of the system for checking and correcting orthography

The models for evaluating the properties of the reference orthographic dictionary (ROD) of the spelling check and correction system are considered. RODs’ detecting properties are determined by the probability of not detecting the typical error and the probability of a false error notification. The task is formulated to optimize a ROD according to Pareto, a step by step algorithm is proposed for solving it, the results of the experimental evaluation of the algorithm’s effectiveness are given. RODs’ correcting properties are determined by the probabilities of the correct and erroneous correction of the typical errors. Models of their estimation are offered and simulation results are given for the selected dictionaries. It has been shown that ROD optimized for detecting properties also has better correcting properties. In general, the obtained results can be used as the basis for a tool for the comparative assessment, selection and improvement of the potential properties of a specific ROD for a given subject matter.

免疫比濁法測定において第一反応で白濁しエラーコードが付かず，偽低値に測定されたIgM-κ型M蛋白の解析―エラーコードが付かなかったIgM偽低値2症例目―

免疫比濁法測定において第一反応で白濁しエラーコードが付かず，偽低値に測定されたIgM-κ型M蛋白の解析―エラーコードが付かなかったIgM偽低値2症例目―

The decision support system in the treatment of arterial hypertension — control of the data entry into the electronic chart

Background.One of the key problems of keeping records in medical information systems is the correctness of the data entry. Even the simplest decision support systems (DSS) can be highly useful regarding the reduction in the number of errors in entering data and recommendations.Thepurposeof this study was to assess the effectiveness of the implementation of the simplest DSS, designed to minimize the number of input errors of the patient’s key characteristics and to implement a basic control for the recommendation section.Design and methods.DSS was developed as a data analysis system of a medical information system that can perform functions directly integrating into a working medical information system. The study involved 7 cardiologists of the counseling and diagnostic center of the Almazov National Medical Research Centre (St Petersburg, Russia), who tested the established DSS for 10 weeks as part of their daily work on counseling patients with arterial hypertension. Altogether 1280 records were analyzed in the main group and 1060 in the control group. Results.In the group with notifications enabled, the total number of errors in the same section comprised 49,1 %, while 84,7 % of them were recorded during the first week of using the system, and by the time of the visit only 8,7 % of the errors were registered. In the control group, the total number of errors was 63,7 %, while 42,2 % remained uncorrected. In the recommendation section, the number of errors was almost identical in both groups, 24 % in the group that worked in the “fixation” mode, and 25,5 % in the group with error notifications enabled. At the same time, in the latter one, at the end of the visit, 7 % errors remained uncorrected. In a detailed analysis of the data in the “physical examination” section, the largest number of missing data related to the anthropometric indicators, especially the waist circumference. When assessing the quality of input data, we found that the group with enabled notifications showed a progressive decrease in the number of errors and unfilled fields in the “physical examination” section.Conclusion.The use of the simplest DSS in the outpatient admission of patients with arterial hypertension can significantly improve the quality of the input of structured data necessary for patient risk stratification. It also contributes to the patient’s safety in terms of the correctness of the medical prescriptions.

Addressing medical errors: an intervention protocol for nursing professionals.

To identify the types of interventions that should be included in an organizational protocol for responding to serious adverse events involving nursing staff. A descriptive exploratory study was conducted in the Autonomous Community of Madrid, Spain using a questionnaire. 248 nurses have participated. The respondents prioritized the following interventions for inclusion in the protocol: legal advice (86.5% of participants) and counseling (82.4% of participants). Over two-thirds of the nurses (69.3%) showed that they would like to receive guidance on how to record adverse events on the patient's medical records, while 64.8% showed that they would like to receive advice on assurances and legal safeguards in relation to the health organization's medical error notification system and 54.5% endorsed refresher training. Compulsory temporary or permanent transfer of nursing staff involved in adverse events was one of the least popular interventions (3.3% of participants). The nurses prioritized counseling, legal advice, training in communication techniques, and refresher training to address the consequences of adverse events and discarded the possibility of compulsory temporary or permanent transfer.

Efficiently Encoding Complex Biochemical Models with the Multistate Model Builder (MSMB).

Biologists seek to create increasingly complex molecular regulatory network models. Writing such a model is a creative effort that requires flexible analysis tools and better modeling languages than offered by many of today's biochemical model editors. Our Multistate Model Builder (MSMB) supports multistate models created using different modeling styles that suit the modeler rather than the software. MSMB defines a simple but powerful syntax to describe multistate species. Our syntax reduces the number of reactions needed to encode the model, thereby reducing the cognitive load involved with model creation. MSMB gives extensive feedback during all stages of model creation. Users can activate error notifications, and use these notifications as a guide toward a consistent, syntactically correct model. Any consistent model can be exported to SBML or COPASI formats. We show the effectiveness of MSMB's multistate syntax through realistic models of cell cycle regulation and mRNA transcription. MSMB is an open-source project implemented in Java and it uses the COPASI API. Complete information and the installation package can be found at http://copasi.org/Projects/ .

Safety culture in the context of operating room: Nurses' perception regarding notification of errors/adverse events

The notification of errors/adverse events is one of the central aspects for the quality of care and patient safety. The purpose of this pilot study is to analyse the safety culture of the operating room in relation to the errors/adverse events and their notification, in the nurses’ perception. It is a quantitative, descriptive-exploratory pilot study. A survey “Nurses’ Perception regarding Notification of Errors/Adverse Events” was applied, consisting of 8 closed questions to an intentional non-probabilistic sample consisting of 43 nurses working in the operating room of a private hospital in Lisbon. The results showed that only 51.2% of the adverse events that caused damage to patients were always notified by the nurses. Of the various adverse events occurred, 60.5% were not reported, justified by “lack of time”. There was also a negative correlation between professional experience and the frequency of error notification (p &lt; .05). The factors referred as those that contributed most to the occurrence of errors were, pressure to work quickly (100.0%), lack of human resources (86.0%), demotivation (86.0%), professional inexperience and hourly overload (83.7%), lack of knowledge (74.4%) and communication failures (65.1%). The perception of Patient Safety was assessed by the majority of participants as “acceptable”. In conclusion, it was evident the reduced notification of adverse events in the operation room so it becomes crucial to focus on the continuous training of health professionals, as well as work on the error, to increase a safety culture with quality.

High-Fidelity Endovascular Simulation

With the ongoing changes in graduate medical education, emphasis has been placed on simulation models to increase clinical exposure and optimize learning. In specific, high-fidelity simulation presents as a potential option for procedural-skill development in interventional radiology. With improved haptic, visual, and tactile dynamics, high-fidelity endovascular simulators have gained increasing support from trainees and certified interventionalists alike. The 2 most common high-fidelity endovascular simulators utilized today are the Procedicus VIST and ANGIO Mentor, which contain notable differences in technical features, case availability, and cost. From the perspective of a trainee, high-fidelity simulation allows for the ability to perform a greater volume of cases. Additionally, without the risk of potential harm to the patient, trainees can focus on repetition and improved performance in a stress-free environment. When errors are made, high-fidelity simulator metrics will generate instantaneous feedback and error notification, erasing ambiguity and thus facilitating learning. Furthermore, in an environment devoid of time and cost stressors, the supervising physician is afforded the opportunity to properly mentor and instruct the trainee throughout the case. For the experienced interventionalists, high-fidelity simulation allows for a decreased learning curve for new procedures or techniques, as well as the opportunity for procedure rehearsal for unusual or high-risk cases. Despite the limitations created by cost, high-fidelity endovascular simulation should continue to be increasingly utilized in the development of the interventional radiology curriculum.

Palliative patient safety

Introduction: The palliative patient is more predisposed to the consequences of the error situations. Aim: To understand patient safety in the context of palliative. Materials and Methods: Integrative literature review which included studies of the last eleven years, using descriptors from Medline, CINAHL Plus with Full Text, and the Portuguese Open Access Scientific Repository. We consider the research question: What is meant by patient safety in need of palliative care? Results: The 11 selected articles develop aspects of user safety around symptomatic control, medication errors, the incidence of home safety, quality of care, route of administration, and palliative sedation. Conclusion: Predominance of the association between safety and mention of errors in medication use. Emerges a suggestion to create an error notification system in a palliative context.