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At least 109 records · Page 6Linked to original sources

PubMed2002

The search for value in health care: a review of the National Committee for Quality Assurance efforts.

Large employers formed the National Committee for Quality Assurance (NCQA) to ensure value to healthcare purchasers. Value in healthcare is a function of quality divided by costs. Through NCQA's role as an accrediting agency for healthcare organizations and the development of performance measures, Health Plan Employer Data and Information Set (HEDIS), gains toward defining the value of health services have materialized. An analysis of the impact of HEDIS data collection on physician practices and the influence of HEDIS data on employer, employee, and governmental health plan selections is examined. This study consisted of a general review, from 1993 to 2001, of HealthStar databases, PubMed databases, and the NCQA website. NCQA accreditation is accepted as an important industry milestone for health plans, credentials verification organizations, and physician organizations. The data for HEDIS is collected from health plan administrative data repositories, whereas health plan members' clinical data may be collected by chart abstraction in physician offices. Data collection in physician offices consumes administrative resources from physician practices and health plans. As commercial and governmental insurers move toward greater adoption of HEDIS measures, complex implications are created for physician practices and vulnerable populations. There are lingering questions regarding the improvements in quality of care for medically underserved populations and physician practice costs attributable to HEDIS.

Accreditation↗

PubMed2006

Can the quality of care in family practice be measured using administrative data?

OBJECTIVE: To explore the feasibility of using administrative data to develop process indicators for measuring quality in primary care. DATA SOURCES/STUDY SETTING: The Population Health Research Data Repository (Repository) housed at the Manitoba Centre for Health Policy which includes physician claims, hospital discharge abstracts, pharmaceutical use (Drug Program Information Network (DPIN)), and the Manitoba Immunization Monitoring Program (MIMS) for all residents of Manitoba, Canada who used the health care system during the 2001/02 fiscal year. Family physicians were identified from the Physician Resource Database. Indicators were developed based on a literature review and focus group validation. DATA COLLECTION/EXTRACTION METHODS: Data files were extracted from administrative data available in the Repository. We extracted data based on the ICD-9-CM codes and ATC-class drugs prescribed and then linked them to the Physician Resource Database. Physician practices were defined by allocating patients to their most responsible physician. Every family physician in Manitoba that met the inclusion criteria (having either 5 or 10 eligible patients depending on the indicator) was 'scored' on each indicator. Physicians were then grouped according to the proportion of the patients allocated to their practice who received the recommended care for the specific indicator. PRINCIPAL FINDINGS: Using administrative health data we were able to develop and measure eight indicators of quality of care covering both preventive care services and chronic disease management. The number of eligible physicians and patients varied for each indicator as did the percent of patients with recommended care, per physician. For example, the childhood immunization indicator included 544 physicians who, on average, provided immunization for 65 percent of their patients. CONCLUSIONS: Quality of care provided by family physicians can be measured using administrative data. Despite the limitations addressed in this paper, this work establishes a practical methodology to measure quality of care provided by family physicians that can be used for quality improvement initiatives.

Data Collection↗

PubMed2026

Network-based integration of metabolomics data from large-scale repositories.

INTRODUCTION: Public metabolomics data repositories such as MetaboLights and Metabolomics Workbench host rapidly growing volumes of raw data, processed results, and metadata. As data deposition becomes a prerequisite for funding and publication, there is an increasing need for tools that enable integration and joint reanalysis of datasets across studies to maximise reuse and reproducibility. OBJECTIVES: This study aims to enable large-scale integrative meta-analysis of public metabolomics data, exploiting harmonised metabolite annotations to identify robust multi-study metabolite and pathway signatures and to provide global visual overviews of repository content. METHODS: We developed a network-based integration framework operating at both the study (dataset) level and the metabolite or pathway level. Metabolite-level meta-networks integrate studies with shared biological context using co-occurrences of differential metabolites represented as bipartite graphs. Study-level networks compare observed metabolites for overall repository exploration. Networks can be explored interactively using a dedicated Python Dash app available at https://github.com/EloisaRL/Metabolomic-data-analysis-app/tree/main . RESULTS: As an example, the approach was applied to six COVID-19 plasma datasets from MetaboLights generated using LC-MS and NMR. Ten metabolites were identified as differential in at least three studies, including consistently up-regulated pyroglutamic acid, in agreement with the literature. Pathway-level networks provided an overview of shared biological processes across studies. A global network of 1,181 studies in Metabolomics Workbench demonstrated clustering by assay coverage and associated metadata, as expected. CONCLUSION: Network-based integration of harmonised metabolomics data enables robust cross-study analyses and highlights the critical importance of standardised annotation pipelines. Such approaches enhance the reuse, reproducibility, and impact of public metabolomics datasets, accelerating biological discovery.

Metabolomics↗

PubMed2015

Clostridium difficile Infections after Blunt Trauma: A Different Patient Population?

BACKGROUND: The epidemiology of Clostridium difficile-associated infection (CDI) has changed, and it is evident that susceptibility is related not only to exposures and bacterial potency, but host factors as well. Several small studies have suggested that CDI after trauma is associated with a different patient phenotype. The purpose of this study was to examine and describe the epidemiologic factors associated with C. difficile in blunt trauma patients without traumatic brain injury using the Trauma-Related Database as a part of the "Inflammation and Host Response to Injury" (Glue Grant) and the University of Florida Integrated Data Repository. METHODS: Previously recorded baseline characteristics, clinical data, and outcomes were compared between groups (67 C. difficile and 384 uncomplicated, 813 intermediate, and 761 complicated non-C. difficile patients) as defined by the Glue Grant on admission and at days seven and 14. RESULTS: The majority of CDI patients experienced complicated or intermediate clinical courses. The mean ages of all cohorts were less than 65 y and CDI patients were significantly older than uncomplicated patients without CDI. The CDI patients had increased days in the hospital and on the ventilator, as well as significantly higher new injury severity scores (NISS), and a greater percentage of patients with NISS >34 points compared with non-CDI patients. They also had greater Marshall and Denver multiple organ dysfunction scores than non-CDI uncomplicated patients, and greater creatinine, alkaline phosphatase, neutrophil count, lactic acid, and PiO2:FiO2 compared with all non-CDI cohorts on admission. In addition, the CDI patients had higher glucose concentrations and base deficit from uncomplicated patients and greater leukocytosis than complicated patients on admission. Several of these changes persisted to days seven and 14. CONCLUSION: Analysis of severe blunt trauma patients with C. difficile, as compared with non-CDI patients, reveals evidence of increased inflammation, immunosuppression, worse acute kidney injury, higher NISS, greater days in the hospital and on the ventilator, higher organ injury scores, and prolonged clinical courses. This supports reports of an increased prevalence of CDI in a younger population not believed previously to be at risk. This unique population may have specific genomic or inflammation-related risk factors that may play more important roles in disease susceptibility. Prospective analysis may allow early identification of at-risk patients, creation of novel therapeutics, and improved understanding of how and why C. difficile colonization transforms into infection after severe blunt trauma.

Adolescent↗

PubMed2007

BRENDA, AMENDA and FRENDA: the enzyme information system in 2007.

The BRENDA (BRaunschweig ENzyme DAtabase) enzyme information system (http://www.brenda.uni-koeln.de) is the largest publicly available enzyme information system worldwide. The major parts of its contents are manually extracted from primary literature. It is not restricted to specific groups of enzymes, but includes information on all identified enzymes irrespective of the enzyme's source. The range of data encompasses functional, structural, sequence, localisation, disease-related, isolation, stability information on enzyme and ligand-related data. Each single entry is linked to the enzyme source and to a literature reference. Recently the data repository was complemented by text-mining data in AMENDA (Automatic Mining of ENzyme DAta) and FRENDA (Full Reference ENzyme DAta). A genome browser, membrane protein prediction and full-text search capacities were added. The newly implemented web service provides instant access to the data for programmers via a SOAP (Simple Object Access Protocol) interface. The BRENDA data can be downloaded in the form of a text file from the beginning of 2007.

Animals↗

PubMed2006

Information management for the study of allergies.

Microarrays and other large-scale screening technologies produce quantities of increasingly complex allergy data. These data link molecular and clinical measurements and observations and provide fertile ground for improving our understanding of the processes involved in allergic reactions. Information technology is employed in gathering, storage, retrieval and analysis of these data. The increasing proportion of allergy data are generated from genomics and proteomics approaches. The major activity focuses on characterization of allergens including IgE reactivity, structural properties, and mapping of IgE and T-cell epitopes. Because of the complexity of allergy data, their utilization requires bioinformatics approaches. Allergen data are stored in the general and specialist databases. At least a dozen of important allergen databases and data repositories have been developed to date. These data are analysed using general and specialist bioinformatics tools. The major applications of bioinformatics include support for allergen characterization, assessment of allergenicity, and identification of allergic cross-reactivity. These applications in turn support the development of vaccines and therapies for allergic disease. In this article we review allergen databases and tools for the analysis of allergens, and discuss the new directions in the field supported by large scale screening involving genomics, proteomics, and bioinformatics support.

Allergens↗

PubMed2001

Case study: a data warehouse for an academic medical center.

The clinical data repository (CDR) is a frequently updated relational data warehouse that provides users with direct access to detailed, flexible, and rapid retrospective views of clinical, administrative, and financial patient data for the University of Virginia Health System. This article presents a case study of the CDR, detailing its five-year history and focusing on the unique role of data warehousing in an academic medical center. Specifically, the CDR must support multiple missions, including research and education, in addition to administration and management. Users include not only analysts and administrators but clinicians, researchers, and students.

Academic Medical Centers↗

PubMed2003

A personalized and automated dbSNP surveillance system.

The development of high throughput techniques and large-scale studies in the biological sciences has given rise to an explosive growth in both the volume and types of data available to researchers. A surveillance system that monitors data repositories and reports changes helps manage the data overload. We developed a dbSNP surveillance system (URL: http://www.pharmgkb.org/do/serve?id=tools.surveillance.dbsnp) that performs surveillance on the dbSNP database and alerts users to new information. The system is notable because it is personalized and fully automated. Each registered user has a list of genes to follow and receives notification of new entries concerning these genes. The system integrates data from dbSNP, LocusLink, PharmGKB, and Genbank to position SNPs on reference sequences and classify SNPs into categories such as synonymous and non-synonymous SNPs. The system uses data warehousing, object model-based data integration, object-oriented programming, and a platform-neutral data access mechanism.

DNA↗

PubMed2006

Creating an IHE ATNA-based audit repository.

Compliance with the Health Insurance Portability and Accountability Act (HIPAA) requires gathering audit information from picture archiving and communications systems (PACS) regarding evidence trails of human interactions. Until recently, most PACS users have had limited access to auditing information. Access required resources to handle manual inspection of audit logs, and access to proprietary databases was not always available. Some vendors now produce eXtensible Markup Language (XML) audit logs based on certain events occurring in PACS. However, it is up to the user to convert this information into an easily mined data repository supporting compliance and quality control. This process can be handled in multiple ways, which could mean different audit mechanisms depending on the PACS (or other hospital system) used. It is apparent that an organized method of dealing with audit information is needed. This help may be provided within the Integrating the Healthcare Environment (IHE) framework. The IHE initiative defines a set of profiles, actors, and transactions that create common scenarios for particular workflow processes. The Integration Profiles depict security as a fundamental requirement of the framework. Specifically, the Audit Trail and Node Authentication (ATNA) profile defines standards based mechanisms for securely transmitting and storing audit records in a central repository. The data structure defined by the profile provides a number of record types that capture different audit events. A general feasibility study for storing currently available PACS audit information following the profile is defined, and steps to an automated solution are discussed.

Feasibility Studies↗

PubMed2005

The Community Physicians' Network (CPN): an academic-community partnership to eliminate healthcare disparities.

INTRODUCTION: Disparities in health care are maintained by three primary factors: 1) patient factors which include multiple risk factors and comorbidities; 2) healthcare practitioner factors comprising inconsistent application of practice guidelines due to a limited database of clinical trials of effective therapies in African Americans and other underrepresented minorities; and 3) barriers in the healthcare delivery system resulting in poor access to care. The Morehouse School of Medicine Community Physicians' Network (CPN) was established to address disparities in health care by focusing on provider-specific strategies. OBJECTIVES: To: 1) use disease-specific registries to identify treatment gaps and facilitate quality improvement processes among CPN practices; 2) develop practice-specific and guideline-based educational messages to promote quality care; 3) engage and train CPN-physicians for participation in approved NIH, other government, and industry-supported clinical protocols; and 4) develop a data repository of all CPN-sponsored clinical trials that include significant numbers of African Americans and other underrepresented minorities. METHODS: The disease-specific outpatient registries will have the following features: 1) data structures and data elements will use standard database codes and a data dictionary; 2) HIPPA-compliant data abstraction and data transfer tool; 3) baseline chart review to establish practice patterns and provide practice-specific feedback; 4) annual update of registry; 5) data registry and repository maintained on Morehouse School of Medicine's secure servers; 6) registry publications will include only aggregate data, without identification of contributing practices; 7) an electronic medical records platform will be encouraged as the ultimate data management tool for CPN practices. In addition, up to three continuing medical education (CME) programs each year will feature national speakers and promote evidence-based practice guidelines. RESULTS: Eighty-five primary care and subspecialty practices are actively enrolled in CPN with a total of 385,000 annual outpatient visits. The makeup of insurance status is: HMO/PPO (45%); Medicare only (19%); Medicare HMO (11%); Medicare plus (8%); Medicaid (6%); Uninsured (11%). CONCLUSIONS: The Community Physicians' Network will address specific gaps in the health care of African-American and other minority patients by promoting quality care among its members and by facilitating participation in approved clinical trial protocols. The unique academic community partnership is consistent with the NIH roadmap goal of eliminating healthcare disparities.

Black or African American↗

PubMed2001

Development and utilization of paperless medical records: a unique approach.

The purpose of this article is to describe the development and utilization of a unique paperless medical record system in a large multispeciality group practice setting. The Scott and White integrated health care delivery system provides care over a 34-county area in Central Texas. Since 1988, clinicians at Scott and White have developed a text-based, content-searchable electronic medical record system known as EMRx. This system provides a single clinical data repository that allows patient care activities and aggregate data analyses to occur by using the same set of data on a daily basis. Use of this approach has led to the aggregation of over 9.8 million clinical documents since 1994. Over 1,845 health care providers used the system during May 2000 for direct patient care; 866,114 patient records have been accessed since January 1, 1999 to answer questions related to patient care, quality assurance, outcomes research, and accreditation.

Group Practice↗

PubMed2006

Challenges and opportunities in proteomics data analysis.

Accurate, consistent, and transparent data processing and analysis are integral and critical parts of proteomics workflows in general and for biomarker discovery in particular. Definition of common standards for data representation and analysis and the creation of data repositories are essential to compare, exchange, and share data within the community. Current issues in data processing, analysis, and validation are discussed together with opportunities for improving the process in the future and for defining alternative workflows.

Databases, Protein↗

PubMed2005

GrainGenes 2.0. an improved resource for the small-grains community.

GrainGenes (http://wheat.pw.usda.gov) is an international database for genetic and genomic information about Triticeae species (wheat [Triticum aestivum], barley [Hordeum vulgare], rye [Secale cereale], and their wild relatives) and oat (Avena sativa) and its wild relatives. A major strength of the GrainGenes project is the interaction of the curators with database users in the research community, placing GrainGenes as both a data repository and information hub. The primary intensively curated data classes are genetic and physical maps, probes used for mapping, classical genes, quantitative trait loci, and contact information for Triticeae and oat scientists. Curation of these classes involves important contributions from the GrainGenes community, both as primary data sources and reviewers of published data. Other partially automated data classes include literature references, sequences, and links to other databases. Beyond the GrainGenes database per se, the Web site incorporates other more specific databases, informational topics, and downloadable files. For example, unique BLAST datasets of sequences applicable to Triticeae research include mapped wheat expressed sequence tags, expressed sequence tag-derived simple sequence repeats, and repetitive sequences. In 2004, the GrainGenes project migrated from the AceDB database and separate Web site to an integrated relational database and Internet resource, a major step forward in database delivery. The process of this migration and its impacts on database curation and maintenance are described, and a perspective on how a genomic database can expedite research and crop improvement is provided.

Breeding↗

PubMedDate not supplied

A matter of life and death for Manitoba's children: an overview of birth rates and mortality rates.

OBJECTIVE: To determine the fertility and child mortality rates for Manitoba. METHODS: Fertility and mortality rates were derived from the Population Health Research Data Repository and Vital Statistics, for 1994 through 1998. Data are presented by 12 Regional Health Authorities (RHAs), 12 Winnipeg Community Areas (CAs) and by income quintile. Each indicator is correlated with PMR (the age- and sex-adjusted premature mortality rate, i.e., death before age 75) and SEFI (Socioeconomic Factor Index, a standardized composite index), both considered proxies for overall health and socioeconomic well-being of populations. RESULTS: Manitoba's total fertility rate was 1.77 children per woman, ranging from 1.62 to 3.15 by RHA, and 1.21 to 2.30 by Winnipeg CA. Manitoba's infant mortality rate was 6.6/1000 (or 5.5/1000 excluding < 500 g or < 20 weeks gestation), ranging from 4.5 to 10.2 by RHA (4.2 to 9.8 exclusive), and 3.7 to 8.4 by Winnipeg CA (2.7 to 6.7). There was a gradient of infant mortality by income quintile (p < 0.001), with double the rate comparing lowest to highest. Child mortality rates varied geographically and by gender, with northern children at greatest risk. Injury was the leading cause of death (52% for ages 1 through 9, 75% for ages 15 to 19). CONCLUSION: Fertility rates, as well as infant and child mortality rates, were positively associated with PMR and SEFI, with substantial geographical variation.

Adolescent↗

PubMed2005

Exploration of a Bayesian updating tool to provide real-time safety monitoring for new medical devices.

Data Extraction and Longitudinal Time Analysis (DELTA) was developed to provide real-time safety monitoring of new devices in the domain of interventional cardiology. This field provides the necessary infrastructure for this type of endeavor. The American College of Cardiology National Cardiovascular Data Repository (ACC-NCDR) provides a national standardized data dictionary, and there is point of care data collection in many centers. The tool utilizes both Bayesian statistical updating and classical frequentist methods for automated event rate monitoring.

Bayes Theorem↗

PubMed2006

Internet based multicenter study for thoracolumbar injuries: a new concept and preliminary results.

This article reports about the internet based, second multicenter study (MCS II) of the spine study group (AG WS) of the German trauma association (DGU). It represents a continuation of the first study conducted between the years 1994 and 1996 (MCS I). For the purpose of one common, centralised data capture methodology, a newly developed internet-based data collection system ( http://www.memdoc.org ) of the Institute for Evaluative Research in Orthopaedic Surgery of the University of Bern was used. The aim of this first publication on the MCS II was to describe in detail the new method of data collection and the structure of the developed data base system, via internet. The goal of the study was the assessment of the current state of treatment for fresh traumatic injuries of the thoracolumbar spine in the German speaking part of Europe. For that reason, we intended to collect large number of cases and representative, valid information about the radiographic, clinical and subjective treatment outcomes. Thanks to the new study design of MCS II, not only the common surgical treatment concepts, but also the new and constantly broadening spectrum of spine surgery, i.e. vertebro-/kyphoplasty, computer assisted surgery and navigation, minimal-invasive, and endoscopic techniques, documented and evaluated. We present a first statistical overview and preliminary analysis of 18 centers from Germany and Austria that participated in MCS II. A real time data capture at source was made possible by the constant availability of the data collection system via internet access. Following the principle of an application service provider, software, questionnaires and validation routines are located on a central server, which is accessed from the periphery (hospitals) by means of standard Internet browsers. By that, costly and time consuming software installation and maintenance of local data repositories are avoided and, more importantly, cumbersome migration of data into one integrated database becomes obsolete. Finally, this set-up also replaces traditional systems wherein paper questionnaires were mailed to the central study office and entered by hand whereby incomplete or incorrect forms always represent a resource consuming problem and source of error. With the new study concept and the expanded inclusion criteria of MCS II 1, 251 case histories with admission and surgical data were collected. This remarkable number of interventions documented during 24 months represents an increase of 183% compared to the previously conducted MCS I. The concept and technical feasibility of the MEMdoc data collection system was proven, as the participants of the MCS II succeeded in collecting data ever published on the largest series of patients with spinal injuries treated within a 2 year period.

Adolescent↗

PubMed1997

Practical use of computerized hospital information systems to improve blood transfusion.

Data collection can be enhanced with the use of computers. Care must be taken, however, to ensure that the data collected have a purpose and meet either the quality assessment needs or business functions of the transfusion service. Required data elements are frequently in several data repositories and must be merged to obtain needed information. Effective data collection may be hindered by several factors, including a lack of data elements in the computer systems, data retention limitations, and changes in the computer system or collection needs. Personal computers with commonly available spreadsheet and database management software are useful in preparing summarized reports. An ideal report is legibly printed on one side of a sheet of paper and includes graphs and charts that enhance data presentation and facilitate trend analysis.

Blood Transfusion↗

PubMed1995

Opinion: a prototype for a computerized national mammography registry and tracking system using telecommunications and the Internet.

In this report, we analyze the feasability and discuss the potential benefits of using currently available technology for the wide-area registration and tracking of mammography patients. In our prototype, three dissimilar computer systems transmitted mammographic data (demographics and the results of mammograms) in a standardized format to a central data repository. Two of the three systems were dedicated computerized mammography systems and one was a general-purpose radiology information system. High-speed modems and the Internet were used to connect with the central repository, which could be queried in real time by remote users. Our results indicated that a busy mammography practice, using the slowest transmission method we tested (14-kilobaud modem), could transmit several days of mammographic data to a central repository in a matter of minutes. To implement systems that provide nation-wide mammographic tracking and follow up, more in-depth planning, development, and testing are necessary.

Computer Communication Networks↗