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Results for “Health data integration”

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At least 19 recordsLinked to original sources
PubMed1991

A computer-assisted health care cost management system.

To our knowledge, First Chicago has developed and implemented the first operational integrated health data computer system that includes the traditional occupational medicine data base together with medical claims and health risk appraisal data. OMNIS has combined medical claims, personnel, disability, employee assistance program, wellness program participation, administrative functions, laboratory, periodic health evaluation data, and health risk appraisal data in a single system. OMNIS provides data that are being used to more accurately predict health care and disability costs and design intervention strategies. Clearly, the integrated health data computer system provides information to manage increasingly complex issues of health care quality and cost. For companies concerned about the quality as well as the cost of health care, an integrated health data computer system (OMNIS) may be a valuable tool to objectively assess quality of care. For example, a company could evaluate how effectively various providers (eg, health maintenance organizations, preferred provider organizations, indemnity plan) control medical conditions such as hypertension. Integrated health data management systems have the potential to assist in the selection of the highest quality and most cost-effective health care plans.

Chicago↗
PubMed2000

It's time: record linkage--the vision and the reality.

OBJECTIVE: To examine reasons for the minimal use of Australian administrative health data for research and evaluation. METHOD: Legislative, organisational, social and political barriers in Australia are described. RESULTS: System changes are identified that would support the implementation of an evaluation-oriented health data collection system. A Universal Patient Identifier is essential. Leadership and funding at the federal level will be required to ensure the co-ordinated introduction of a rational and integrated health data system in Australia. CONCLUSIONS: Health data in Australia is not currently collected in a manner that allows the assessment of health outcomes. It is time to change the basis of health data collection from accounting to health outcomes evaluation and to reorganise the system to support this. IMPLICATIONS: If appropriate national health data were available, research and evaluation of services could be undertaken and treatment outcomes and adverse events could be monitored. Such information could provide a basis for targeted clinical trials and provide evidence for best clinical practice.

Australia↗
PubMed2002

Using forest health monitoring data to integrate above and below ground carbon information.

The national Forest Health Monitoring (FHM) program conducted a remeasurement study in 1999 to evaluate the usefulness and feasibility of collecting data needed for investigating carbon budgets in forests. This study indicated that FHM data are adequate for detecting a 20% change over 10 years (2% change per year) in percent total carbon and carbon content (MgC/ha) when sampling by horizon, with greater than 80% probability that a change in carbon content will be determined when a change has truly occurred (P < or = 0.33). The data were also useful in producing estimates of forest floor and soil carbon stocks by depth that were somewhat lower than literature values used for comparison. The scale at which the data were collected lends itself to producing standing stock estimates needed for carbon budget development and carbon cycle modeling. The availability of site-specific forest mensuration data enables the exploration of above ground and below ground linkages.

Biomass↗
PubMed2001

Integrating baseline health status data collection into the process of care.

BACKGROUND: Health status data are an increasingly important component of outcomes assessment and can be used to facilitate quality assessment and improvement efforts. An enormous challenge to the use of health status data among hospitalized patients, however, is collecting baseline data at the time of treatment, an essential component for risk-adjusting subsequent outcomes. The Mid America Heart Institute of Saint Luke's Hospital (Kansas City, Mo), attempted to integrate the collection of health status assessments within the process of performing coronary revascularization. THE DATA COLLECTION STRATEGY: The data collection strategy was developed for each admission portalelective outpatients (admissions for same-day procedures), inpatients, and emergent cases. Health status data were collected on all patients with coronary artery disease who were receiving a percutaneous coronary intervention or coronary artery bypass graft with no disruption to physician scheduling or nursing staff. RESULTS: In general, patients were agreeable to completing the health status survey. Despite initial efforts to educate the hospital staff about the goal and purpose of health status assessment, staff members who were unaware of the uses of these data seemed to minimize their value. Providing examples of how to use these data relative to the staff member's specific occupational role facilitated buy-in for this project. EPILOGUE: After the pilot study, which lasted until June 1999, data were continually collected for 18 months, through August 2000, even with the cessation of external grant funding for this project. Baseline data collection finally stopped, primarily because of a failure to accommodate data collection into the routine flow of patient care by existing nursing staff.

Angioplasty, Balloon, Coronary↗
PubMed2006

O3-DPACS Open-Source Image-Data Manager/Archiver and HDW2 Image-Data Display: an IHE-compliant project pushing the e-health integration in the world.

After many years of study, development and experimentation of open PACS and Image workstation solutions including management of medical data and signals (DPACS project), the research and development at the University of Trieste have recently been directed towards Java-based, IHE compliant and multi-purpose servers and clients. In this paper an original Image-Data Manager/Archiver (O3-DPACS) and a universal Image-Data Display (HDW2) are described. O3-DPACS is also part of a new project called Open Three (O3) Consortium, promoting Open Source adoption in e-health at European and world-wide levels. This project aims to give a contribution to the development of e-health through the study of Healthcare Information Systems and the contemporary proposal of new concepts, designs and solutions for the management of health data in an integrated environment: hospitals, Regional Health Information Organizations and citizens (home-care, mobile-care and ambient assisted living).

Data Display↗
PubMed1985

Integrating health-related data from various sources: combining surveys, records and routine data.

The paper discusses the necessity of combining data from various sources in order to enhance their usefulness for a variety of applications. As future data use can hardly be forseen in advance, major data sets in health services should fulfill several formal requirements in order to make them suitable for future linkage. These formal requirements are that there be references to defined populations, to specific persons, to defined time periods, to specific places or regions. It would be necessary for terms, definition and classification schemes to agree between data sets which are to be linked and be in wide use. Three facets of data linkage are discussed specifically namely linking data at one level of aggregation, linking different data components, and combining data sets from different sources at several levels of aggregation. Three examples are provided, describing linkages of data from various sources for epidemiological studies and a study in health services research. They show that at this point in descriptive epidemiological studies linkage on the basis of regions is of great importance. This implies that it would be desirable for large scale data collection activities in health services to provide for a uniform representation of the geographic areas. Such uniformity would greatly enhance the linkage potential of data sets and thus their usefulness for small area and regional analyses.

Adult↗
PubMed1996

Improving and integrating data systems for public health surveillance.

The National Center for Health Statistics (NCHS) is the nation's principal health statistics agency, with a primary mission to collect, disseminate, and analyze health data. NCHS has a clear commitment to a wide range of improvements in surveillance and public health information systems. Building on its long history of conducting multipurpose surveys where the needs and interests of a variety of programmatic interests have to be accommodated, NCHS is working on a number of fronts to improve and better integrate data systems so that they will be more useful for public health surveillance. Examples include the redesign of the National Health Interview Survey, the integration of the Department of Health and Human Services' health surveys, the retooling of the vital statistics system, and the movement to subnational data collection.

Humans↗
PubMed2002

Public health, GIS, and the internet.

Internet access and use of georeferenced public health information for GIS application will be an important and exciting development for the nation's Department of Health and Human Services and other health agencies in this new millennium. Technological progress toward public health geospatial data integration, analysis, and visualization of space-time events using the Web portends eventual robust use of GIS by public health and other sectors of the economy. Increasing Web resources from distributed spatial data portals and global geospatial libraries, and a growing suite of Web integration tools, will provide new opportunities to advance disease surveillance, control, and prevention, and insure public access and community empowerment in public health decision making. Emerging supercomputing, data mining, compression, and transmission technologies will play increasingly critical roles in national emergency, catastrophic planning and response, and risk management. Web-enabled public health GIS will be guided by Federal Geographic Data Committee spatial metadata, OpenGIS Web interoperability, and GML/XML geospatial Web content standards. Public health will become a responsive and integral part of the National Spatial Data Infrastructure.

Geographic Information Systems↗
PubMed2005

Integration of genomic data in Electronic Health Records--opportunities and dilemmas.

OBJECTIVES: In this paper we give an overview about the challenge the postgenomic era poses on biomedical informaticists. The occurrence of new (genomic) data types necessitates new data models, new viewing metaphors and methods to deal with the disclosure of genomic data. We discuss integration issues when inferring phenotype and genotype data. Another challenge is to find the right phenotype to genotype data in order to get appropriate case numbers for sound clinical genotype-phenotype inference studies. METHODS: Genomic data could be integrated in an Electronic Health Record (EHR) in several ways. We describe patient-centered and pointer-based integration strategies and the corresponding data types and data models. The inference mechanisms for the interpretation of row data contain different agents. We describe vertical, horizontal and temporal agents. RESULTS: We have to deal with several new data types, not being standardized for EHR integration. Genomic data tends to be more structured than phenotype data. Beyond the development of new data models, vertical, horizontal and temporal agents have to be developed in order to link genotype and phenotype. As the genomic EHR will contain very sensitive data, confidentiality and privacy concerns have to be addressed. CONCLUSIONS: Given the necessity to capture both environment and genomic state of a patient and their interaction, clinical information systems have to be redesigned. While genotyping seems to be automatable easily, this is not the case for clinical information. More integration work on terminologies and ontologies has to be done.

Computational Biology↗
PubMed1979

Women and health statistics: areas of deficient data collection and integration.

Improved data on women's health should be based on a definition of health capital for women that takes into account reproductive efficiency and the life experience of women in relation to fertility, general health, employment, and household responsibilities. More information is needed about the conduct of household roles related to investment in health capital for family members. Definitions of health are pragmatic and are related to social systems, including health care providers, for which the definitions serve as signals for certain actions. Women can seek to modify these definitions, which have expressed historical biases about women. Data collection should include information about the extent to which privacy as a dimension of access to health care is achieved. Longitudinal and other approaches to health history data should be explored. Fertility and general health data statistics in federal data systems need to be integrated. Insurance adequacy must be determined in relation to benefit scope, relation to prices, employment requirements, and family contracts. Data that will be helpful in adapting industrial environment to health goals are needed. Provider characteristics relevant to women as patients and workers, and qualities of residential environments pertaining to health, need to be studied. Future research should include evaluation of women's health capital and opportunities for programmatic investment to improve household efficiency in conduct of health-related affairs.

Employment↗
PubMed2005

Networking and data management for health care monitoring of mobile patients.

The problem of medical devices and data integration in health care is discussed and a proposal for remote monitoring of patients based on recent developments in networking and data management is presented. In particular the paper discusses the benefits of the integration of personal medical devices into a Medical Information System and how wireless sensor networks and open protocols could be employed as building blocks of a patient monitoring system.

Biomedical Technology↗
PubMed2005

Geographical Information Systems and on-line GIServices for health data sharing and management.

Integrating Geographical Information Systems (GIS) technology and public health experience may represent a solution for a better comprehension of spatial and temporal trends of phenomena. Useful applications can be built that support practitioners in their daily tasks, from risk assessment to prevention programmes. Also, making available data on the Internet through GIServices represents an important goal. Institutions and public health practitioners may benefit from the technological integration of GIS, the Web, handheld and mobile global positioning systems (GPS) devices. Expert users may be supported in deriving thematic maps which represent a spatial synthesis documentation starting from an analytic study expressed in terms of numbers and features. In this paper we show an example of an on-line data sharing and processing application, emphasizing ways GIS can provide added value to health research and management.

Cluster Analysis↗
PubMed2002

Implementation and integration of regional health care data networks in the Hellenic National Health Service.

BACKGROUND: Modern health care is provided with close cooperation among many different institutions and professionals, using their specialized expertise in a common effort to deliver best-quality and, at the same time, cost-effective services. Within this context of the growing need for information exchange, the demand for realization of data networks interconnecting various health care institutions at a regional level, as well as a national level, has become a practical necessity. OBJECTIVES: To present the technical solution that is under consideration for implementing and interconnecting regional health care data networks in the Hellenic National Health System. METHODS: The most critical requirements for deploying such a regional health care data network were identified as: fast implementation, security, quality of service, availability, performance, and technical support. RESULTS: The solution proposed is the use of proper virtual private network technologies for implementing functionally-interconnected regional health care data networks. CONCLUSIONS: The regional health care data network is considered to be a critical infrastructure for further development and penetration of information and communication technologies in the Hellenic National Health System. Therefore, a technical approach was planned, in order to have a fast cost-effective implementation, conforming to certain specifications.

Computer Communication Networks↗