U.S. backs researcher in suing ex-colleague over accuracy of data.
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Biomedical Research↗
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Results for “Data Accuracy”
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Data, price accuracy new e-commerce issues.
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Commerce↗
Data on accuracy of rectal/oral/axillary temperatures of elderly patients.
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Aged↗
[Accuracy of data determination in ECG computer analysis in comparison with the evaluation by physicians].
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Diagnosis, Computer-Assisted↗
Features versus redundancy: comments on Massaro, Venezky, and Taylor's "Orthographic regularity, positional frequency, and visual processing of letter strings".
Massaro, Venezky, and Taylor (1979) found only a modest effect of familiarity on letter search, apparently because they pitted pseudowords (rather than real words) against nonwords and used lowercase rather than uppercase letters. Precuing the target letter seemed to reduce the familiarity effect they found yet further, but this conclusion is clouded by the fact that reaction time data were compared with accuracy data. Because similarity between target and nontarget letters tended to have more of an effect when familiarity had less of an effect. Massaro et al. proposed a successive model, with features being detected in the first stage and orthographic structure being used in a second stage. However, a concurrent model, with a self-terminating race between lower and higher level processes, can account for the data just as well. Data from Massaro et al. and from Krueger decisively demonstrate that there is a familiarity effect based on sequential redundancy over and above any effect based on spatial redundancy (Mason 1975). The Massaro et al. data also indicate that the relative familiarity effect is constant across various age groups (Krueger, Keen & Rublevich, 1974).
Cues↗
The validity of self-reported drug use data: the accuracy of responses on confidential self-administered answered sheets.
Official records offer a relatively inexpensive, nonintrusive strategy for checking on the accuracy of self-reported drug use. Responses of a small sample (N = 67) of former drug treatment clients interviewed using procedures exactly modeled on the National Household Survey on Drug Abuse were compared to their clinic records. The accuracy of reports compared to clinic records varied by drug, with the percentage of known users reporting their use highest for marijuana, followed by cocaine and hallucinogens, and lowest for heroin. Almost half of this sample of former treatment clients denied ever receiving drug treatment.
Adolescent↗
Error diagnostics and data reconciliation for activated sludge modelling using mass balances.
Research on activated sludge models is mainly directed towards the reliability and estimation of model coefficients. Model calculations however, rely heavily on accurate determination of operational conditions. Accurate measurement of operational conditions and mass flows is difficult, caused by large (full-scale) process flows and the absence of reliable measurements. Therefore operational data should be verified on (gross) errors before being implemented in model studies. Calibrating a model on erroneous mass flows leads to laborious calibration procedures and moreover, unjustified adaptation of the model (kinetic and stoichiometric) parameters. Gross error detection is possible when there are more measurements than strictly required to solve a system of linear conservation relations (mass balances). A simple method for error detection is evaluating the mass balance residuals. For over determined systems data accuracy can be improved using balancing methods (i.e. minimising balance residuals). This is referred to as data reconciliation. A reconciled data set contains fewer errors and is exactly in line with the mass balances of the system. In this paper we describe a method for gross error detection and data reconciliation. It is shown how data reconciliation improves the accuracy of the data set and how the use of a balanced data set simplifies the model calibration procedure. This is demonstrated on the basis of a modelling study of a full-scale WWTP.
Calibration↗
Utility of lab-on-a-chip technology for high-throughput nucleic acid and protein analysis.
On-chip electrophoresis can provide size separations of nucleic acids and proteins similar to more traditional slab gel electrophoresis. Lab-on-a-chip (LoaC) systems utilize on-chip electrophoresis in conjunction with sizing calibration, sensitive detection schemes, and sophisticated data analysis to achieve rapid analysis times (<120 s). This work describes the utility of LoaC systems to enable and augment systems biology investigations. RNA quality, as assessed by an RNA integrity number score, is compared to existing quality control (QC) measurements. High-throughput DNA analysis of multiplex PCR samples is used to stratify gene sets for disease discovery. Finally, the applicability of a high-throughput LoaC system for assessing protein purification is demonstrated. The improvements in workflow processes, speed of analysis, data accuracy and reproducibility, and automated data analysis are illustrated.
DNA↗
[Usefulness of rapid examination method by test tape for cerebrospinal fluid].
We evaluated the usefulness of the test tape for cerebrospinal fluid (CSF), with which glucose and protein were examined, in aid of rapid diagnosis of various neurological diseases. Twenty-eight patients were examined to estimate the level of CSF glucose and protein using test tape. The data accuracy was confirmed with the data from standard measurements because the data from test tape correlated significantly with the data measured by standard method (glucose, p < 0.05; protein, p < 0.01). The test tape is useful for the rapid examination of CSF. We hope that more accurate test tape method will be developed for CSF glucose and protein determination.
Cerebrospinal Fluid↗
World Health Organization systematic review of screening tests for preeclampsia.
OBJECTIVE: We sought to assess the usefulness of clinical, biophysical, and biochemical tests in the prediction of preeclampsia. DATA SOURCES: The sources of data we used to conduct this review included the computerized databases MEDLINE (1966 to February 2003), EMBASE, Popline, CINAHL, and LILACS plus reference lists, conference proceedings, textbooks, and contact with experts. METHODS OF STUDY SELECTION: All cohort or cross-sectional studies reporting data on the relationship between a predictive test that was performed during pregnancy and the development of preeclampsia were eligible for inclusion, whereas case-control studies were excluded. Eighty-seven (211,369 women) of 7,191 potentially relevant articles met inclusion criteria. We evaluated the methodologic quality for each included study. TABULATION, INTEGRATION, AND RESULTS: Using a standardized protocol, one reviewer selected and extracted data on study characteristics, quality, and accuracy. Data abstracted from each study were arranged in 2 x 2 tables to construct receiver operating characteristics plots (sensitivity against 1 - specificity) and pooled to produce summary likelihood ratios for positive and negative tests results. Moderate predictive accuracy of anticardiolipin antibodies, the presence of bilateral diastolic notches during Doppler ultrasonography, and urinary kallikrein were found in women at low risk of developing preeclampsia. Nevertheless, because the pretest probability of preeclampsia with a positive result was but minimally increased, the clinical use of these tests is limited. Other ultrasonography characteristics and the measurement of fetal and placental peptides showed low predictive accuracy. In populations that were deemed at high risk for preeclampsia, the use of Doppler ultrasonography had low predictive accuracy. No definitive conclusions were possible in the case of many other tests, because the number of studies that met the minimal inclusion criteria was limited. CONCLUSION: As of 2004, there is no clinically useful screening test to predict the development of preeclampsia. Further prospective, longitudinal studies are needed.
Blood Pressure Monitoring, Ambulatory↗
Whispered voice test for screening for hearing impairment in adults and children: systematic review.
OBJECTIVE: To determine the accuracy of the whispered voice test in detecting hearing impairment in adults and children. DESIGN: Systematic review of studies of test accuracy. DATA SOURCES: Medline, Embase, Science Citation Index, unpublished theses, manual searching of bibliographies of known primary and review articles, and contact with authors. STUDY SELECTION: Two reviewers independently selected and extracted data on study characteristics, quality, and accuracy of studies. Studies were included if they had cross sectional designs, at least one of the index tests was the whispered voice test, and the reference test (audiometry) was performed on at least 80% of the participants. DATA EXTRACTION: Data were used to form 2x2 contingency tables with hearing impairment by audiometry as the reference standard. DATA SYNTHESIS: The eight studies that were found used six different techniques. The sensitivity in the four adult studies was 90% or 100% and the specificity was 70% to 87%. The sensitivity in the four childhood studies ranged from 80% to 96% and specificity ranged from 90% to 98%. CONCLUSION: The whispered voice test is a simple and accurate test for detecting hearing impairment. There is some concern regarding the lower sensitivity in children and the overall reproducibility of the test, particularly in primary care settings. Further studies should be conducted in primary care settings to explore the influence of components of the testing procedure to optimise test sensitivity and to promote standardisation of the testing procedure.
Adult↗
Artificial intelligence in molecular diagnostics for pandemic preparedness.
INTRODUCTION: Molecular diagnostics focusing on the detection and analysis of nucleic acids are indispensable tools for early pathogen identification, transmission monitoring, and genomic surveillance during pandemics. Recent technological advances have broadened the diagnostic landscape, incorporating PCR-based methods, isothermal amplification, high-CRISPR-based amplification detection, and sequencing. Despite their diagnostic potential, widespread implementation remains limited by high validation costs, time and logistical constraints, the need for specialized professional knowledge, and a lack of adaptability in resource-limited settings. Artificial intelligence (AI) is increasingly recognized as a promising but challenging approach, offering tools that streamline assay development, automate data interpretation, and optimize real-time diagnostic performance. AREAS COVERED: This review introduces recently published AI tools with potential to enhance the in-silico design validation process of oligonucleotides for molecular assays. These cover tools for initial assay design and optimization to validation and continuous assay updates. The limitations, including concerns regarding data accuracy, the lack of transparency in data processing ('black box' models), and unresolved licensing and regulatory issues, are highlighted for each tool and as expert opinion. EXPERT OPINION: Collectively, these challenges currently confine most AI-based approaches to research settings and prevent their routine implementation in clinical molecular diagnostics. Their widespread adoption depends on addressing remaining technical, regulatory, and practical challenges.
Humans↗
A computerized database for head and neck cancer registry.
AIMS: Over the last years, the management of patients with head and neck cancer has become extremely complex, and the knowledge and information needed to care for a patient can no longer be trusted to the memory or manual systems. Recent advances in data processing technology offer the potential for creating ideal instruments to organize, store and analyze such information. METHODS: We developed a computerized database management system (H&N-CDMS) which fulfils the following requisites: easy to use even by operators not expert in informatics; minimum possibility of insertion of ambiguous data; use for clinical and research purposes; can be interconnected in a network of similar database operating in other centers; can be expanded to image processing. CONCLUSIONS: The configuration of the system is described and its main characteristics are discussed: data entry and coding facilities, data accuracy and standardization, security and anonymity, data retrieval and analysis. H&H-CDMS is a user-friendly tool for head and neck cancer data management in clinical and research environments.
Head and Neck Neoplasms↗
Effects of prolonged work on data entry speed and accuracy.
In 2 experiments, participants used a keyboard to enter 4-digit numbers presented on a computer monitor under conditions promoting fatigue. In Experiment 1, accuracy of data entry declined but response times improved over time, reflecting an increasing speed-accuracy trade-off. In Experiment 2, the (largely cognitive) time to enter the initial digit decreased in the 1st half but increased in the 2nd half of the session. Accuracy and time to enter the remaining digits decreased across though not within session halves. The (largely motoric) time to press a concluding keystroke decreased over the session. Thus, through a combination of facilitation and inhibition, prolonged work affects the component cognitive and motoric processes of data entry differentially and at different points in practice.
Computers↗
Developing a quality improvement database using health insurance data: a guided tour with application to Medicare's National Claims History file.
Health policy researchers are increasingly turning to insurance claims to provide timely information on cost, utilization, and quality trends in health care markets. This research offers an in-depth description of how to systematically transform raw inpatient and ambulatory claims data into useful information for health care management and research using the Health Care Financing Administration's National Claims History file as an example. The topics covered include: (a) understanding the contents and architecture of claims data, (b) creating analytic files from raw claims, (c) technical innovations for health policy studies, (d) assessing data accuracy, (d) the costs of using claims data, and (e) ensuring confidentiality. In summary, claims data are found to have great potential for quality of care analysis. As in any analysis, careful development of a database is required for scientific research. The methods outlined in this study offer health data novices as well as experienced analysts a series of strategies to maximize the value of claims data for health policy analysis.
Aged↗
[2-year results of leg amputation in Hungary based on a nationwide data base].
Authors review nation-wide hospital data of amputees over two years in order to make comparison with similar data gathered about 20 years ago. Data were provided by the National Medical Records Centre and processed by own developed programmes. The quality level of data validity is slightly criticised. The cause of amputation was most often vascular disease, amputees were elderly and large majority of amputation surgery was carried out on the lower limb. The rate of below-knee amputation has gone up favourably over the 20 years, but there are large regional differences within the country. Mortality parameters remarkably exceed those of foreign countries. Regarding compromised data accuracy, still there are ways of exploiting data in favour of quality improvement of care, e.g. improve below-knee amputation rate, reduce mortality. Publication of data can be of bench-marking importance for hospitals by enabling them to compare own results with those of other hospitals, as well as develop and improve performance.
Amputation, Surgical↗
Surveillance for the emergence and dissemination of antimicrobial resistance in bacteria.
Effective surveillance of antimicrobial-resistant bacteria is important for developing rational empiric therapy guidelines and for guiding public health efforts to control and prevent the spread of infective agents. Surveillance must include a timely and thorough review of the test results generated in clinical microbiology laboratories because this data serves as the core of surveillance activities. Besides ensuring data accuracy and optimizing detection of emerging resistance, the role of clinical microbiology also includes supporting the production of informative surveillance reports, providing laboratory resources for outbreak investigations, and monitoring the performance of commonly used susceptibility testing methods. Once the accuracy of susceptibility results has been validated, the data are used by public health agencies and professional societies to monitor resistance trends on a local, state, national, and international level. This information is also used to develop policies for prudent antimicrobial use locally and nationally.
Anti-Bacterial Agents↗
Role of portable sleep studies for diagnosis of obstructive sleep apnea.
PURPOSE OF REVIEW: There is growing awareness of the significance of obstructive sleep apnea in the general population and in the medical community and, as a result, there is a growing demand for diagnosis and treatment. Attended, in-laboratory polysomnography is resource intensive and not readily available in some communities. Alternate diagnostic strategies have been proposed including the use of home sleep studies. Although these portable systems have been in use for many years, only in the past few years have a significant number of studies been performed to evaluate these systems in the home setting. The use of actigraphy and peripheral arterial tonometry for diagnostic purposes has also recently been investigated. RECENT FINDINGS: In the laboratory setting, measurements of sleep-disordered breathing with specific portable sleep systems correspond well with measurements provided by standard polysomnography. In the home setting, portable systems demonstrate several important limitations including lost or inadequate data collection, logistic concerns, and mildly reduced diagnostic accuracy. Data regarding the potential cost benefit of home studies is inconclusive. SUMMARY: Home polysomnography is a viable option for evaluating patients with moderate or high clinical suspicion for sleep-disordered breathing. However, patients with failed or equivocal home studies and those with negative studies but persistent symptoms should undergo standard polysomnography. Further investigations are needed to compare long-term outcomes in patients evaluated using portable devices versus standard polysomnography.
Diagnostic Techniques, Cardiovascular↗