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IMASIS computer-based medical record project: dealing with the human factor.

The Institut Municipal d'Assistència Sanitària (IMAS) is a health care organization in Barcelona, comprising two general hospitals, a psychiatric hospital, a surgical clinic, a geriatric center, some primary care clinics, and a research institute. Since 1984, IMAS has been engaged in creating a multicenter integrated hospital information system (IMASIS). Currently, IMASIS offers the possibility to manage administrative data, laboratory results, pathology and cytology reports, radiology reports, and pharmacy inpatient orders; it also shares this information on-line among IMAS centers. IMASIS users may also work with a word processor, a spreadsheet, a database, or a statistical package and have access to MEDLINE. A second phase of IMASIS development began in December 1993 focused on clinical information management. The goal was to move towards an integrated multimedia medical record [1]. As a first step, the implementation experiences of the most advanced hospital information systems around the world were studied. Some of these experiences detected behavioral, cultural, and organizational factors [2] as the main sources of delay, or even failure, in HIS projects. A preliminary analysis to define such factors, assess their potential impact, and introduce adequate measures to deal with them seemed unavoidable before structuring of the project. In our approach to physician attitudes analysis, two survey techniques were applied. First, every hospital service head was contacted to schedule an interview, with either a service representative or a group of staff physicians and residents. The aim was to provide detailed information about project objectives and collect personal opinions, problems encountered in the current HIS, and specific needs of every medical and surgical specialty (including imaging needs). Every service head was asked to distribute a questionnaire among all clinicians, which assessed frequency of use of IMASIS current applications, user's satisfaction level, problems to be solved in utilization of the system, errors detected in the systems' database, and the personal interest in participating in the IMASIS project. The questionnaire was also intended to be a tool to monitor IMASIS evolution. Our study showed that medical staff had a lack of information about the current HIS, leading to a poor utilization of some system options. Another major characteristic, related to the above, was the feeling that the project would negatively affect the organization of work at the hospitals. A computer-based medical record was feared to degrade physician-patient relationship, introduce supplementary administrative burden in clinicians day-to-day work, unnecessarily slow history taking, and imply too-rigid patterns of work. The most frequent problems in using the current system could be classified into two groups: problems related to lack of agility and consistency in user interface design, and those derived from lack of a common patient identification number. Duplication of medical records was the most frequent error detected by physicians. Analysis of physicians' attitudes towards IMASIS revealed a lack of confidence globally. This was probably the consequence of two current features: a lack of complete information about IMASIS possibilities and problems faced when using the system. To deal with such factors, three types of measures have been planned. First, an effort is to be done to ensure that every physician is able to adequately use the current system and understands long-term benefits of the project. This task will be better accomplished by personal interaction between clinicians and a physician from the Informatics Department than through formal teaching of IMASIS. Secondly, a protocol for evaluating the HIS is being developed and will be systematically applied to detect both database errors and systemUs design pitfalls. Finally, the IMASIS project has to find a convenient point for starting, to offer short-term re

Attitude of Health Personnel↗

Continuous improvement of oral health in Europe.

The oral health action programmes of the WHO Regional Office for Europe (WHO/EURO) comply with the overall European Health Policy and targets for the improvement of health in Europe by the year 2000 (HFA2000) and focus on promotive and preventive care approaches primarily at the community level. Various activities, including the development of guidelines for local action projects, have been established to support WHO/EURO's Member States in initiating preventive oral health care system and introducing the concept of continuous quality development in oral health care. The main focus for Countries of Central and Eastern Europe (CCEE) is to formulate national goals for oral health and to further develop oral health services in the region. Collection of national data using agreed European quality indicators for oral health will form the basis of appropriate monitoring and development of technologies to improve oral health care services and the oral health status at large. The WHO/EURO action programmes aim to implement oral disease prevention and health promotion activities. Guidelines have been established to support individual Member States who intend to establish community-based programmes in accordance with scientifically sound principles and methods. The ORATEL Project (Telematic System for Quality Assurance in Oral Health Care) is part of the Commission of European Communities (CEC) strategy for harmonization and standardization in health care (CEC) Programme for advanced informatics in medicine--AIM/CEC) and ORATEL is the only AIM/CEC project related to oral health. The ORATEL Project aims to improve the oral health status in the European Region through use of appropriate computerized information systems. The Project will support management and administration of dental clinics and will be an integral part of a quality assurance system to promote a standardized level of quality in the field. Its advanced educational and decision-support tools can be used by professionals at all levels of the system. ORATEL possesses tools for aggregating and transmitting data upwards for monitoring and evaluation purposes at local, national and supranational administrative levels.

Adolescent↗

A GIS-based modeling system for petroleum waste management. Geographical information system.

With an urgent need for effective management of petroleum-contaminated sites, a GIS-aided simulation (GISSIM) system is presented in this study. The GISSIM contains two components: an advanced 3D numerical model and a geographical information system (GIS), which are integrated within a general framework. The modeling component undertakes simulation for the fate of contaminants in subsurface unsaturated and saturated zones. The GIS component is used in three areas throughout the system development and implementation process: (i) managing spatial and non-spatial databases; (ii) linking inputs, model, and outputs; and (iii) providing an interface between the GISSIM and its users. The developed system is applied to a North American case study. Concentrations of benzene, toluene, and xylenes in groundwater under a petroleum-contaminated site are dynamically simulated. Reasonable outputs have been obtained and presented graphically. They provide quantitative and scientific bases for further assessment of site-contamination impacts and risks, as well as decisions on practical remediation actions.

Decision Support Techniques↗

Diabetes information systems: a rapidly emerging support for diabetes surveillance and care.

BACKGROUND: With the rapid advances in information technology in the last decade, various diabetes information systems have evolved in different parts of the world. Availability of new technologies and information systems for monitoring and treating diabetes is critical to achieving recommended metabolic control, including glycosylated hemoglobin levels. The first step is to develop a registry, including a patient identifier that can link multiple data sources, which can then serve as a springboard to electronic mechanisms for practitioners to gain information on performance and results. OBJECTIVE: The aim is to review the provisions for diabetes surveillance in different parts of the world. This is a systematic review of national and regional information systems for diabetes surveillance. LITERATURE REVIEW: A comprehensive review was undertaken using Medline literature review, internet search using the Google search engine, and e-mail consultation with opinion leaders. TOPICS REVIEW: National/regional-level diabetes surveillance systems in Europe, the United States, Australia/New Zealand, and Asia have been reviewed. State-of-the-art diabetes information systems linking multiple data sources, with extensive audit and feedback capabilities, have also been looked at. RESULTS: National/regional-level audit databases have been tabulated. Diabetes information systems linking multiple data sources have been described. Most of the developed countries have now implemented systems such as diabetes registers and audits for diabetes surveillance in at least some regions, if not nationally. Developing nations are beginning to recognize the need for chronic disease management. CONCLUSIONS: With the advancements in information technology, the diabetes registers have the potential to rise beyond their traditional functions with dynamic data integration, decision support, and data access, as demonstrated by some diabetes information systems. With the rapid pace of development in electronic health records and health information systems, countries that are beginning to build their health information technology infrastructure could benefit from planning and funding along these lines.

Diabetes Mellitus↗

The role of telemedicine in fostering health-care innovations to address problems of access, specialty shortages and changing patient care needs.

The integration of advanced technologies into health-care services promises to aid society in its transition to a coordinated, systems approach which is focused on disease prevention, enhanced wellness, chronic disease management, decision support, quality and patient safety. By incorporating such technologies, clinicians will be able to manage the growing volumes of medical information, research and decision support analytical tools. The deployment of advanced technologies will minimize the barriers of distance and geography to enhance access and facilitate the delivery of integrated health care. This will support and enhance the goals of the US federal Healthy People 2010 initiative.

Delivery of Health Care, Integrated↗

Multiple sclerosis medical image analysis and information management.

Magnetic resonance imaging (MRI) has become a central tool for patient management, as well as research, in multiple sclerosis (MS). Measurements of disease burden and activity derived from MRI through quantitative image analysis techniques are increasingly being used. There are many complexities and challenges in building computerized processing pipelines to ensure efficiency, reproducibility, and quality control for MRI scans from MS patients. Such paradigms require advanced image processing and analysis technologies, as well as integrated database management systems to ensure the most utility for clinical and research purposes. This article reviews pipelines available for quantitative clinical MRI research in MS, including image segmentation, registration, time-series analysis, performance validation, visualization techniques, and advanced medical imaging software packages. To address the complex demands of the sequential processes, the authors developed a workflow management system that uses a centralized database and distributed computing system for image processing and analysis. The implementation of their system includes a web-form-based Oracle database application for information management and event dispatching, and multiple modules for image processing and analysis. The seamless integration of processing pipelines with the database makes it more efficient for users to navigate complex, multistep analysis protocols, reduces the user's learning curve, reduces the time needed for combining and activating different computing modules, and allows for close monitoring for quality-control purposes. The authors' system can be extended to general applications in clinical trials and to routine processing for image-based clinical research.

Humans↗

Graduate education in health information systems: having all your eggs in one basket.

Until recently, the technological evolution of information systems (IS) within the health care field has been relatively slow and sporadic in comparison to IS development in other industries. With the growing proliferation of powerful computers and personal workstations among health professionals, the advancement of IS technologies in the health care field has great potential. Hence, there is increasing pressure to integrate IS curricula into graduate level health administration education. This article combines earlier IS curricula from both the management and health care perspectives into an integrated framework for the development of a graduate education program in health information systems (HIS). The framework divides the HIS field into three modules: (1) HIS technologies and applications; (2) HIS theories and methodologies; and (3) HIS administration and impacts. This framework is also applied to the structuring of a master's level course for training generalists in HIS with a strong emphasis on the planning and management of hospital information systems.

British Columbia↗

HIS/RIS/PACS integration: getting to the gold standard.

The technology for acquiring, storing, retrieving, displaying, and distributing images has advanced dramatically in recent years. The push is toward enterprise-wide image management solutions, where digital images from radiology, cardiology, and other "ologies" are seamlessly linked with information from clinical information systems and other databases, and they are accessed seamlessly from a single point of end-user interaction. The "gold standard" of system integration would provide the platform for improved workflow, patient throughput and patient safety, as well as decreased cost. Unfortunately, the gold standard remains elusive in most healthcare environments, even those with new systems. One of the earliest issues that plagued the progress of hospital information system/radiology information systems/picture archiving and communication systems (HIS/RIS/PACS) integration was a matter of language between Health Level-7 (HL7) and DICOM. This barrier was solved by the broker--a software and hardware device that accepts HL7 messages from the RIS then translates, or maps, the data to produce DICOM messages for transmission to the PACS. Technologist workflow requires patient and exam information from the RIS to flow to the modality. The broker provides support for this by taking advantage of the DICOM Modality Worklist (DMWL). Two primary problems are inherent in most brokered configurations. Workflow is driven by paper, and RIS information flows in 1 direction only, which leads to duplicative databases. Overcoming the limitations of HIS/RIS/PACS connectivity requires industry accepted communication protocols/rules. To facilitate this, the Integrating the Health Care Enterprise (IHE) initiative was developed. The goal of IHE is to provide end-users improved access to critical patient and clinical information across all systems within the healthcare delivery network. While the IHE initiative began to facilitate more efficient, predictable, and functional integration between disparate systems, vendors still had technology hurdles to overcome. System integration continues to be significantly hampered, not by technology limitations, but instead by business and political issues. In response to these challenges, several vendors have begun to offer consolidated RIS/PACS solutions and/or HIS/RIS/PACS solutions. Consequently, the prospect of the gold standard appears to be on the horizon. Single vendor consolidated systems are not, however, feasible for deployment in many healthcare organizations, and they are not necessarily the panacea.

Database Management Systems↗

Acts and knowledge management in the NUCLEUS hospital information system.

NUCLEUS is a project completed in June 1995 in the frame of the European Community programme AIM (Advanced Informatics in Medicine). The main result of NUCLEUS is a prototype of an integrated patient dossier. Together with this patient dossier, facilities have been developed for its customisation by the various categories of end-users. A semantic model has been designed to guide and control the exploitation of data, and ensures the overall integrity of the information system.

Computer Communication Networks↗

Confocal microscopy and cellular bioinformatics.

An exhaustive description of most biological data requires, besides a set of analytic information, an eidetic representation of the data itself. In this paper, two topics are presented. The first one is confocal microscopy, an advanced technique to produce multidimensional cellular and subcellular structures images. The second one is a software application, named BIOCELL, based on a relational database management system, developed to provide the biologist with an integrated tool to handle simultaneously cell biology linguistic and eidetic information.

Biotechnology↗

Designing health care information systems for integrated delivery systems: where we are and where we need to be.

A critical step in evolving an integrated delivery system (IDS) is planning, designing, and technologically realizing an efficient, appropriate, and effective infrastructure for developing an integrated network of information systems. The key to meeting this objective philosophically, logically, and physically in the face of rapid advances in computing technology and communication trends is often poorly understood by health providers and managers. The article discusses the concept of a total quality management information system model and illustrates how this sort of thinking can be applied to guide the critical steps that must be undertaken to plan, design, and develop a networked infrastructure of health care information systems that can facilitate information exchange and sharing among multiple health care providers within an IDS.

Canada↗

The leading edge. Data systems can provide the tools needed to meet goals.

Management information systems--essential for strategic planning and management in today's complex healthcare environment--must be designed in concert with goals and strategies developed at the executive or corporate level. Healthcare organizations need management information to support four major functions: strategic planning and marketing, resource allocation, performance assessment, and evaluation of products and services. Computer systems fall into three general categories--administrative, clinical, and decision support (management information systems). Management information systems are the least advanced of the three. The need for strategic planning and managerial control in the face of complexity and competition, however, will result in rapid advances. The chief executive officer must be responsible for the following areas to ensure the effective use of information systems: strategic planning, information systems planning, user-driven focus, systems integration, and monitoring of results. Many larger healthcare organizations have established the position of chief information officer (CIO) to assist in these tasks. The CIO coordinates information systems, telecommunications, management engineering, and office automation.

Decision Support Systems, Management↗

Priorities and strategies for the implementation of integrated informatics and communications technology to improve evidence-based practice.

The U.S. health care system is one of the world's most advanced systems. Yet, the health care system suffers from unexplained practice variations, major gaps between evidence and practice, and suboptimal quality. Although information processing, communication, and management are key to health care delivery and considerable evidence links information/communication technology (IT) to improvements in patient safety and quality of care, the health care system has a longstanding gap in its investment. In the Crossing the Quality Chasm and Building a Better Delivery System reports, The Institute of Medicine and National Academy of Engineering identified IT integration as critical to improving health care delivery systems. This paper reviews the state of IT use in the U.S. health care system, its role in facilitating evidence-based practices, and identifies key attributes of an ideal IT infrastructure and issues surrounding IT implementation. We also examine structural, financial, policy-related, cultural, and organizational barriers to IT implementation for evidence-based practice and strategies to overcome them.

Diffusion of Innovation↗

An integrated system to remote monitor and control anaerobic wastewater treatment plants through the internet.

The TELEMAC project brings new methodologies from the Information and Science Technologies field to the world of water treatment. TELEMAC offers an advanced remote management system which adapts to most of the anaerobic wastewater treatment plants that do not benefit from a local expert in wastewater treatment. The TELEMAC system takes advantage of new sensors to better monitor the process dynamics and to run automatic controllers that stabilise the treatment plant, meet the depollution requirements and provide a biogas quality suitable for cogeneration. If the automatic system detects a failure which cannot be solved automatically or locally by a technician, then an expert from the TELEMAC Control Centre is contacted via the internet and manages the problem.

Automation↗

Realization of real-time clinical data integration using advanced database technology.

As information & communication technologies have advanced, interest in mobile health care systems has grown. In order to obtain information seamlessly from distributed and fragmented clinical data from heterogeneous institutions, we need solutions that integrate data. In this article, we introduce a method for information integration based on real-time message communication using trigger and advanced database technologies. Messages were devised to conform to HL7, a standard for electronic data exchange in healthcare environments. The HL7 based system provides us with an integrated environment in which we are able to manage the complexities of medical data. We developed this message communication interface to generate and parse HL7 messages automatically from the database point of view. We discuss how easily real time data exchange is performed in the clinical information system, given the requirement for minimum loading of the database system.

Clinical Laboratory Information Systems↗

Endoscopy databases: the Norwegian experience.

BACKGROUND AND STUDY AIMS: The implementation of endoscopy databases in Norway has been slow, and no commercial system has been successfully introduced. MATERIAL AND METHODS: To determine the current status in this area a questionnaire survey was conducted with replies received from 58 of the 67 hospitals to which the questionnaire was sent. RESULTS: Only 40% of the units had one or more personal computers available, but video endoscopes will soon be standard equipment at most Norwegian hospitals. For managing administrative data, a large majority of endoscopy units used a general-purpose hospital information system, but endoscopy data are dealt with manually in 72% of the units. The endoscopy report itself was produced manually in 93% of the units. When asked to rank various features of database systems according to their relative importance, the endoscopists stated that ease of use and simplification of routine chores were the most important aspects, while advanced storage and research features were less crucial. CONCLUSION: In Norwegian hospitals, the use of minimal endoscopic database systems that offer a high level of integration with existing hospital systems appears to be the most promising approach.

Database Management Systems↗

Bio-Ontology and text: bridging the modeling gap.

MOTIVATION: Natural language processing (NLP) techniques are increasingly being used in biology to automate the capture of new biological discoveries in text, which are being reported at a rapid rate. Yet, information represented in NLP data structures is classically very different from information organized with ontologies as found in model organisms or genetic databases. To facilitate the computational reuse and integration of information buried in unstructured text with that of genetic databases, we propose and evaluate a translational schema that represents a comprehensive set of phenotypic and genetic entities, as well as their closely related biomedical entities and relations as expressed in natural language. In addition, the schema connects different scales of biological information, and provides mappings from the textual information to existing ontologies, which are essential in biology for integration, organization, dissemination and knowledge management of heterogeneous phenotypic information. A common comprehensive representation for otherwise heterogeneous phenotypic and genetic datasets, such as the one proposed, is critical for advancing systems biology because it enables acquisition and reuse of unprecedented volumes of diverse types of knowledge and information from text. RESULTS: A novel representational schema, PGschema, was developed that enables translation of phenotypic, genetic and their closely related information found in textual narratives to a well-defined data structure comprising phenotypic and genetic concepts from established ontologies along with modifiers and relationships. Evaluation for coverage of a selected set of entities showed that 90% of the information could be represented (95% confidence interval: 86-93%; n = 268). Moreover, PGschema can be expressed automatically in an XML format using natural language techniques to process the text. To our knowledge, we are providing the first evaluation of a translational schema for NLP that contains declarative knowledge about genes and their associated biomedical data (e.g. phenotypes). AVAILABILITY: http://zellig.cpmc.columbia.edu/PGschema

Abstracting and Indexing↗