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PubMedDate not supplied

Boosting performance.

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Benchmarking↗
PubMed2006

Support vector machines for dyadic data.

We describe a new technique for the analysis of dyadic data, where two sets of objects (row and column objects) are characterized by a matrix of numerical values that describe their mutual relationships. The new technique, called potential support vector machine (P-SVM), is a large-margin method for the construction of classifiers and regression functions for the column objects. Contrary to standard support vector machine approaches, the P-SVM minimizes a scale-invariant capacity measure and requires a new set of constraints. As a result, the P-SVM method leads to a usually sparse expansion of the classification and regression functions in terms of the row rather than the column objects and can handle data and kernel matrices that are neither positive definite nor square. We then describe two complementary regularization schemes. The first scheme improves generalization performance for classification and regression tasks; the second scheme leads to the selection of a small, informative set of row support objects and can be applied to feature selection. Benchmarks for classification, regression, and feature selection tasks are performed with toy data as well as with several real-world data sets. The results show that the new method is at least competitive with but often performs better than the benchmarked standard methods for standard vectorial as well as true dyadic data sets. In addition, a theoretical justification is provided for the new approach.

Artificial Intelligence↗
PubMedDate not supplied

Manager's reports of variation in coding accuracy across U.S. oncology centers.

Advances in high-speed data processing capabilities, and the increasing reliance on information systems in comparative data assessment, are creating greater dependence on information systems, with a related need for more timely assessment of coding quality. Assessing the accuracy of coded and classified data becomes critical as the implementation of government compliance management requirements, along with the growing adoption of evidence-based medicine in error detection, serve to challenge healthcare researchers to consider the quality of coded data in management assessments. The implementation of larger, faster and more comprehensive databases in healthcare delivery settings is one response to this changing environment, but at a national level there will need to be some degree of uniformity in their utilization and management, if researchers are expected to rely on comparative benchmarks to fully assess organizational performance. In a nationwide survey of health information managers we found about 81 percent of respondents reported that significant coding errors existed in 5 percent or less of the records in their institutions. About 11 percent of respondents, however, reported that the coding errors existed in six to ten percent of their records. Regional and practice setting variation in reported coding error ranged widely, occurring across organizations as well as area locations. Related impact on comparative data-driven management assessment is discussed.

Abstracting and Indexing↗
PubMedDate not supplied

The 1999 National Pressure Ulcer Prevalence Survey: a benchmarking approach.

OBJECTIVE: Health care professionals are faced with the ongoing challenge of improving performance. From physicians and nurses to process improvement experts, health care professionals are discovering new approaches to increasing the overall effectiveness of procedures used in clinical areas. One way to collect data useful for benchmarking specific clinical practices is through the use of prevalence studies. DESIGN: A 1-day pressure ulcer prevalence survey was performed in March 1999. Acute care facilities across the United States volunteered to participate in the data collection process. Patients' demographic information, pressure ulcer stages, locations, and support surfaces were noted. SETTING: 356 acute care facilities. PARTICIPANTS: 42,817 patients. RESULTS: The overall pressure ulcer prevalence was 14.8%, with a nosocomial pressure ulcer prevalence of 7.1%. CONCLUSIONS: Benchmarking is one of the tools that enables health care professionals to measure and identify inconsistencies in patient care practices. Understanding these inconsistencies enables the health care team to develop processes that are innovative and efficient. National pressure ulcer prevalence surveys provide a benchmark to evaluate an individual facility's care and treatment of patients at risk for pressure ulcer development. Success, however, lies in the health care professional's ability to take the information and apply it to clinical practice. Through the use of a benchmarking approach, performance gaps can be identified, processes can be put into place, and improved patient outcomes can be monitored and maintained.

Adolescent↗
PubMed2026

Assessing perinatal depression identifying abilities among maternal and child health workers in rural China using smartphone-based virtual patients: a multi-center cross-sectional study.

OBJECTIVE: To assess rural maternal and child health (MCH) workers' virtual patients (VPs)-assessed performance in identifying perinatal depression (PND) using smartphone-based VPs, and to identify factors associated with this performance in rural Hunan, China. METHODS: A multicentre cross-sectional study was conducted in Hunan Province, China. A standardized questionnaire collected demographic and work-related characteristics of rural MCH workers. Smartphone-based VPs were used to assess PND identification performance in a simulated clinical scenario. An overall score ≥60 was used as a prespecified operational benchmark across consultation, ancillary assessment, diagnosis, management, and health education domains. Data were analyzed using SPSS 26.0. RESULTS: A total of 375 rural MCH workers participated, yielding an effective response rate of 90.4%. Only 25.9% met the prespecified operational benchmark for VP-assessed PND identification performance. The mean accuracy scores for consultation, ancillary assessment, diagnosis, management, and health education were 94%, 48%, 64%, 58%, and 74%, respectively. Complete consultation accuracy was higher among MCH workers from township health centers than among those from county-level MCH hospitals. MCH workers aged 18-39 years showed higher odds of complete diagnostic accuracy for PND than those aged ≥40 years. CONCLUSIONS: Smartphone-based VP assessment was feasible in rural MCH settings and revealed suboptimal PND identification performance. Mobile VPs may help identify frontline performance gaps and inform targeted training, but further validation against real-world clinical performance, or standardized patient encounters is needed before large-scale implementation. These findings may support targeted capacity-building for rural MCH workers and more equitable perinatal mental health care.

Humans↗
PubMed2004

Comparison of automated and manual determination of HER2 status in breast cancer for diagnostic use: a comparative methodological study using the Ventana BenchMark automated staining system and manual tests.

This study was performed to test the validity of manual and automated HER2 tests in one hundred routinely formalin-fixed and paraffin-embedded diagnostic breast carcinoma tissues. Immunohistochemical (IHC) and fluorescence in situ hybridization (FISH) assays for HER2 were separately carried out in two institutes of pathology specialised in diagnostics of breast diseases. Manual immunostaining was performed by the Dako-HercepTest. Automated IHC and FISH were carried out in the Ventana BenchMark platform by using the Pathway-CB11 antibody and the INFORM(R) HER2 probe, respectively. Positivity rates varied between HercepTest (26%), automated CB11 IHC (23%) and automated FISH (22%). Overall concordance between positive (2+, 3+) and negative (0; 1+) results of manual and automated IHC was 97%, between automated FISH and IHC 92%, and between automated FISH and HercepTest 89%. The frequency of 2+ IHC scores was 13% using the BenchMark and 14% with the HercepTest; 6/12 and 8/14 of the respective cases were not amplified by FISH. Automated FISH was not interpretable in 11 of 100 specimens. In the 89 informative cases, automated IHC resulted in increased specificity (92% vs. 88%), increased positive predictive value (73% vs. 64%) and increased efficiency (92% vs. 89%). We conclude that automation improves the accuracy of HER2 detection in diagnostic breast carcinoma tissues and provides a new approach for the global standardization of clinical HER2 tests.

Benchmarking↗
PubMedDate not supplied

Improving midwifery practice: the American College of Nurse-Midwives' benchmarking project.

Quality management in clinical practice involves the use of numerous techniques that monitor the quality of care clinicians provide. Quality improvement is an approach to quality management that emphasizes system and processes, rather than a focus on individual performance. Quality improvement examines objective data to improve these processes, even when high standards of performance appear to have been met. Benchmarking measures one's processes and outcomes against "best in class" and is a part of a quality improvement program. By using benchmarking to provide goals for realistic process improvement and identification of the most efficient and effective methods of meeting all of their customer's needs, health care providers can document their effectiveness in terms of cost, quality, and satisfaction. This article details the American College of Nurse-Midwives' benchmarking project and presents benchmarks for obstetric practice from the year 2004.

Benchmarking↗
PubMed2001

Cardiac catheterization laboratory imaging quality assurance program.

With the recent approval of the National Electrical Manufacturers Association (NEMA) standard for "Characteristics of and Test Procedures for a Phantom to Benchmark Cardiac Fluoroscopic and Photographic Performance," comprehensive cardiac image assurance control programs are now possible. This standard was developed by a joint NEMA/Society for Cardiac Angiography and Interventions (SCA&I) working group of imaging manufacturers and cardiology society professionals over the past 4 years. This article details a cardiac catheterization laboratory image quality assurance and control program that includes the new standard along with current regulatory requirements for cardiac imaging. Because of the recent proliferation of digital imaging equipment, quality assurance for cardiac imaging fluoroscopy and digital imaging are critical. Included are the previous works recommended by the American College of Cardiology (ACC) and American Heart Association (AHA), Society for Cardiac Angiographers and Interventions (SCA&I), and authors of previous image quality subjects.

Cardiac Catheterization↗
PubMed2002

Ab initio prediction of helical segments in polypeptides.

An ab initio method has been developed to predict helix formation for polypeptides. The approach relies on the systematic analysis of overlapping oligopeptides to determine the helical propensity for individual residues. Detailed atomistic level modeling, including entropic contributions, and solvation/ionization energies calculated through the solution of the Poisson-Boltzmann equation, is utilized. The calculation of probabilities for helix formation is based on the generation of ensembles of low energy conformers. The approach, which is easily amenable to parallelization, is shown to perform very well for several benchmark polypeptide systems, including the bovine pancreatic trypsin inhibitor, the immunoglobulin binding domain of protein G, the chymotrypsin inhibitor 2, the R69 N-terminal domain of phage 434 repressor, and the wheat germ agglutinin.

Animals↗
PubMed2003

Prediction of beta-sheet topology and disulfide bridges in polypeptides.

An ab initio method has been developed to predict beta architectures in polypeptides. The approach predicts the topology of beta-sheets and disulfide bridges through a novel superstructure-based mathematical framework originally established for chemical process synthesis problems. Two types of superstructure are introduced, both of which emanate from the principle that hydrophobic interactions drive the formation of a beta-structure. The mathematical formulation of the problem results in a set of integer linear programming (ILP) problems that can be solved to global optimality to identify the optimal beta-configuration. These (ILP) models can also predict a ranked ordered list of the best, second-best, third-best, etc., topologies of beta-sheets and disulfide bridges. The approach is shown to perform very well for several benchmark polypeptide systems, as well as polypeptides exhibiting challenging nonsequential beta-sheet topologies folds (56 to 187 amino acids).

Algorithms↗
PubMed2006

Accuracy of sequence alignment and fold assessment using reduced amino acid alphabets.

Reduced or simplified amino acid alphabets group the 20 naturally occurring amino acids into a smaller number of representative protein residues. To date, several reduced amino acid alphabets have been proposed, which have been derived and optimized by a variety of methods. The resulting reduced amino acid alphabets have been applied to pattern recognition, generation of consensus sequences from multiple alignments, protein folding, and protein structure prediction. In this work, amino acid substitution matrices and statistical potentials were derived based on several reduced amino acid alphabets and their performance assessed in a large benchmark for the tasks of sequence alignment and fold assessment of protein structure models, using as a reference frame the standard alphabet of 20 amino acids. The results showed that a large reduction in the total number of residue types does not necessarily translate into a significant loss of discriminative power for sequence alignment and fold assessment. Therefore, some definitions of a few residue types are able to encode most of the relevant sequence/structure information that is present in the 20 standard amino acids. Based on these results, we suggest that the use of reduced amino acid alphabets may allow to increasing the accuracy of current substitution matrices and statistical potentials for the prediction of protein structure of remote homologs.

Amino Acid Sequence↗