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Implementing wireless evaluation in a hospital-based OSCE center.

To provide an effective and efficient means to gather assessment data during Objective Structured Clinical Examinations [OSCEs] and integrate the data into ANGEL, the Indiana University School of Medicine's [IUSM] curriculum management system, a wireless approach using PDAs was selected, configured and evaluated. Following a systems architecture and human-computer interface analysis of the project, a system with less functionality but greater reliability was designed and implemented.

Clinical Competence↗

[3D-data acquisition of partially edentulous cast using grating projection method].

OBJECTIVE: A method for 3D-data acquisition of partially edentulous cast was introduced to lay the foundation for reconstructing 3D digital model of a partially edentulous cast and studying computer aided design (CAD) to a removable partial denture framework. METHODS: Using projection system controlled by a computer, four frames of sinusoidal fringe pattern at pi/2 intervals were projected onto the surface of partially edentulous cast consecutively within 0.4 second. Deformed fringe patterns modulated by the surface height of the cast were recorded by a digital camera. The phase value with the height information was demodulated with phase-shifting method. The transition from the unwrapped phase to the height of the points on the cast was performed with triangulation method. The multiview 3D data was integrated automatically to obtain the complete 3D profile data and the 3D digital model of the partially edentulous cast was reconstructed. RESULTS: Dense and complete points-cloud data was achieved without scanning blind zone basically. The anatomic structure of reconstructed 3D digital model was sharp and clear. CONCLUSION: As an alternative for acquiring 3D data of partially edentulous cast, this method presented here with high precision and high speed meets the need for the subsequent 3D design to removable partial denture framework.

Computer-Aided Design↗

An integrated medical record and data system for primary care. Part 6: a decade of problem-oriented medical records: a reassessment.

The Problem-Oriented Record (POR) has had a profound effect upon the medical community. Since its introduction not quite ten years ago, POR has gained remarkable acceptance. A short review of the relatively brief history of POR is given and various facets of its use are outlined as guidelines for more critical reappraisal of its merits. The fact, however, that POR is currently taught in a majority of medical schools and used in ever increasing numbers of hospitals is highly indicative of eventual conversion of all medical recoreds to POR format.

Diagnosis↗

An integrated medical record and data system for primary care. Part 3: the diagnostic index manual and computer methods and applications.

Manual and computer versions of the diagnostic of the index-E-Book are described. Methods for establisment and maintenance of both indexes are given and the relative merits of each are delineated. Uses of diagnostic indexes are presented which are appropriate to solo and group practices. The role of the diagnostic index in curriculum development within a family practice training setting is also illustrated.

Abstracting and Indexing↗

An integrated medical record and data system for primary care. Part 4: Family information.

The gathering of family information has numerous advantages in a family practice setting. Methods are described which not only allow description of family structure but permit identification of each individual family member and his/her relationship to the family as a unit. The value of filing individual medical records in family folders is detailed. A functional definition of family is established and certain health-related characteristics are given. Included is comparison of family size and socioeconomic status (SES) of a family practice with census information on the total county population. Health-seeking behavior of two-person families (couples or single-parent plus child) related to SES is presented as one of many applications of recorded family information, potential for future research into the effects of family structure on morbidity is discussed.

Adolescent↗

An integrated medical record and data system for primary care. Part 5: Implications of filing family folders by area of residence.

A discussion of the advantages of filing family folders by geographic location is presented in addition to several methods for determination of socioeconomic status. Advantages of current filing techniques at the University of Rochester-Highland Hospital Family Medicine Program are detailed. Examples are given of the use of such information to estimate health-care utilization as determined by factors of distance from practice, socioeconomic status, natural barriers, and family size.

Attitude to Health↗

An integrated medical record and data system for primary care. Part 7: the encounter form: problems and prospects for a universal type.

The importance of an encounter form for recording ambulatory patient information is stressed. Certain problems surrounding appropriate definition of the minimum basic data set (MBDS) are discussed as is the potential development of a uniform encounter form which would cover diagnostic information as well as items necessary for insurance companies and internal practice management.

Ambulatory Care↗

Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data.

MOTIVATION: DNA microarray data analysis has been used previously to identify marker genes which discriminate cancer from normal samples. However, due to the limited sample size of each study, there are few common markers among different studies of the same cancer. With the rapid accumulation of microarray data, it is of great interest to integrate inter-study microarray data to increase sample size, which could lead to the discovery of more reliable markers. RESULTS: We present a novel, simple method of integrating different microarray datasets to identify marker genes and apply the method to prostate cancer datasets. In this study, by applying a new statistical method, referred to as the top-scoring pair (TSP) classifier, we have identified a pair of robust marker genes (HPN and STAT6) by integrating microarray datasets from three different prostate cancer studies. Cross-platform validation shows that the TSP classifier built from the marker gene pair, which simply compares relative expression values, achieves high accuracy, sensitivity and specificity on independent datasets generated using various array platforms. Our findings suggest a new model for the discovery of marker genes from accumulated microarray data and demonstrate how the great wealth of microarray data can be exploited to increase the power of statistical analysis. CONTACT: leixu@jhu.edu.

Algorithms↗

The interactive online SKY/M-FISH & CGH database and the Entrez cancer chromosomes search database: linkage of chromosomal aberrations with the genome sequence.

To catalog data on chromosomal aberrations in cancer derived from emerging molecular cytogenetic techniques and to integrate these data with genome maps, we have established two resources, the NCI and NCBI SKY/M-FISH & CGH Database and the Cancer Chromosomes database. The goal of the former is to allow investigators to submit and analyze clinical and research cytogenetic data. It contains a karyotype parser tool, which automatically converts the ISCN short-form karyotype into an internal representation displayed in detailed form and as a colored ideogram with band overlay, and also has a tool to compare CGH profiles from multiple cases. The Cancer Chromosomes database integrates the SKY/M-FISH & CGH Database with the Mitelman Database of Chromosome Aberrations in Cancer and the Recurrent Chromosome Aberrations in Cancer database. These three datasets can now be searched seamlessly by use of the Entrez search and retrieval system for chromosome aberrations, clinical data, and reference citations. Common diagnoses, anatomic sites, chromosome breakpoints, junctions, numerical and structural abnormalities, and bands gained and lost among selected cases can be compared by use of the "similarity" report. Because the model used for CGH data is a subset of the karyotype data, it is now possible to examine the similarities between CGH results and karyotypes directly. All chromosomal bands are directly linked to the Entrez Map Viewer database, providing integration of cytogenetic data with the sequence assembly. These resources, developed as a part of the Cancer Chromosome Aberration Project (CCAP) initiative, aid the search for new cancer-associated genes and foster insights into the causes and consequences of genetic alterations in cancer.

Base Sequence↗

Phase-shifted direction adaptation of the vestibulo-ocular reflex in cat.

The ability of the vestibulo-ocular reflex (VOR) to alter the phase of the motor output relative to the sensory input is examined. Alert cats were trained for 2 h with 0.25 Hz sinusoidal horizontal vestibular and vertical optokinetic rotational stimuli. In each experiment the optokinetic training stimulus was phase shifted by 0 degree, +45 degrees, -45 degrees, or 90 degrees from the vestibular stimulus. Vertical and horizontal eye movements were measured during horizontal rotations in darkness before and after the training procedure. Phase-advance experiments (+45 degrees) produced an adaptive vertical VOR with a mean phase of +28 degrees. After phase-delay experiments (-45 degrees), the adapted VOR had a mean phase of -19 degrees. The peak adaptive change in VOR gain was at or near the 0.25 Hz training frequency in each experimental group, but the gain depended in a complex manner on the testing frequency and the degree of phase shift of the training stimulus. Training with a 45 degrees phase-delayed optokinetic stimulus produced an adaptive vertical VOR with a gain that was relatively higher at frequencies below the training stimulus than at those that were above. Training with a 45 degrees phase-advanced optokinetic stimulus produced an adaptive vertical VOR with a gain that was higher at frequencies above the training frequency than at those that were below. During training with a phase-shifted optokinetic stimulus, adjustment of the relative efficacies of two neural pathways, a velocity pathway and an integrating pathway, could account for gain dependence on testing frequency and phase shift. This was corroborated by a model of the VOR that incorporates parallel velocity and integrating pathways. Data from 45 degrees phase advances were fit by increasing the gain of the velocity versus integrating pathway, whereas 45 degrees phase delay data were fit by decreasing the gain of the direct versus integrating pathway. The models altered the time constants of either the common oculomotor integrator or the velocity storage mechanism.

Adaptation, Ocular↗

Multimodal integration of EEG and MEG data: a simulation study with variable signal-to-noise ratio and number of sensors.

Previous simulation studies have stressed the importance of the multimodal integration of electroencephalography (EEG) and magnetoencephalography (MEG) data in the estimation of cortical current density. In such studies, no systematic variations of the signal-to-noise ratio (SNR) and of the number of sensors were explicitly taken into account in the estimation process. We investigated effects of variable SNR and number of sensors on the accuracy of current density estimate by using multimodal EEG and MEG data. This was done by using as the dependent variable both the correlation coefficient (CC) and the relative error (RE) between imposed and estimated waveforms at the level of cortical region of interests (ROI). A realistic head and cortical surface model was used. Factors used in the simulations were: (1). the SNR of the simulated scalp data (with seven levels: infinite, 30, 20, 10, 5, 3, 1); (2). the particular inverse operator used to estimate the cortical source activity from the simulated scalp data (INVERSE, with two levels, including minimum norm and weighted minimum norm); and (3). the number of EEG or MEG sensors employed in the analysis (SENSORS, with three levels: 128, 61, 29 for EEG and 153, 61, or 38 in MEG). Analysis of variance demonstrated that all the considered factors significantly affect the CC and the RE indexes. Combined EEG-MEG data produced statistically significant lower RE and higher CC in source current density reconstructions compared to that estimated by the EEG and MEG data considered separately. These observations hold for the range of SNR values presented by the analyzed data. The superiority of current density estimation by multimodal integration of EEG and MEG was not due to differences in number of sensors between unimodal (EEG, MEG) and combined (EEG-MEG) inverse estimates. In fact, the current density estimate relative to the EEG-MEG multimodal integration involved 61 EEG plus 63 MEG sensors, whereas estimations carried out with the single modalities alone involved 128 sensors for EEG and 153 sensors for MEG. The results of the simulations also suggest that the use of simultaneous 29 EEG sensors during the MEG measurements carried out with full sensor arrangements (153 sensors) returned an accuracy of the cortical source estimate statistically similar to that obtained by combining 64 EEG and 153 MEG sensors.

Brain↗

A general purpose computer analysis system for chromatographic data.

A manual integration system for the analysis of chromatographic data is described. The analog output produced by an HPLC absorbance monitor is passed to a non-inverting signal amplifier. This amplified signal is sent to an IBM PC where an analog to digital converter is used to digitize the data. A set of six computer programs which collect, store and analyze these data are presented. This system was used to analyze the nucleotide content of the anaerobic organism Clostridium acetobutylicum by strong anion-exchange HPLC.

Algorithms↗

Allergic rhinitis, asthma, and rhinosinusitis: diseases of the integrated airway.

OBJECTIVE: To review data supporting the integrated airway hypothesis. Allergic rhinitis, rhinosinusitis, and asthma are common conditions associated with significant morbidity and health care costs. A theory has been developed suggesting that these conditions may be manifestations of an inflammatory process within a continuous airway rather than fully separate diseases. Based on this theory, the presence of upper airway symptoms may negatively influence the natural course of lower airway disease. Controlling upper airway inflammation and symptoms among asthma patients may help improve health and economic outcomes. SUMMARY: Further clarifying and understanding the relationship between diseases of the upper and lower respiratory tracts is important because of the prevalence of allergic rhinitis, rhinosinusitis, and asthma and the resulting burden on patients and the health care system. Recent progress in understanding the biology of airway disease has identified inflammation as playing a critical and integrating role in these diseases; however, other important questions remain, including factors that determine the clinical phenotype in allergic airway disorders and optimal treatment approaches. CONCLUSIONS: Several recent studies have suggested that allergic rhinitis, rhinosinusitis, and asthma may be manifestations of a common underlying pathology, but there are many unanswered questions. More studies are needed to better define all the underlying pathologic mechanisms as well as treatments to optimize outcomes for patients with allergic rhinitis, rhinosinusitis, and asthma.

Administration, Intranasal↗

Hospitals won't be able to access HIPAA data bank.

The new Healthcare Integrity and Protection Data Bank, designed to complement the 10-year-old National Practitioner Data Bank, offers a wealth of information on final adverse actions taken against health care providers. The catch? By law, hospitals are barred from accessing the data bank.

Credentialing↗

Exploring the shared genetic architecture of sarcopenia using genomic structural equation modeling.

Sarcopenia is a common age-associated condition characterized by the progressive loss of skeletal muscle mass, strength, and physical functionality. While large-scale genome-wide association studies (GWAS) have previously addressed isolated traits of sarcopenia, the multifactorial genetic architecture underlying this condition remains largely undefined. To characterize the common genetic basis of sarcopenia-related traits, genomic structural equation modeling (Genomic-SEM) was implemented. Multiple post-GWAS analytic approaches were integrated to pinpoint susceptibility loci. These analyses encompassed identifying enriched genetic pathways and relevant genomic elements, as well as cell-type-specific enrichment in skeletal muscle satellite stem cells, mesenchymal stem cells, and skeletal muscle satellite cells in limb muscle. Furthermore, based on the integrated GWAS data of sarcopenia-related traits, polygenic risk score (PRS) analysis was conducted to evaluate risk associations at the chromosomal level. A well-fitted Genomic-SEM successfully integrated the GWAS data, revealing the shared genetic architecture of sarcopenia-related traits. We identified 110 single nucleotide polymorphisms (SNPs) reaching genome-wide significance (p&#x2009;<&#x2009;5&#x2009;&#xd7;&#x2009;10-8), of which 9 represent novel discoveries. Subsequent fine-mapping procedures and gene-set analyses identified 15 causal variants alongside 77 candidate susceptibility genes. This study provides a comprehensive genetic characterization of sarcopenia via Genomic-SEM, offering new insights into the etiological pathways underlying sarcopenia.

Sarcopenia↗