Integrated medical environments. Magnifying the healing power of information.
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Artificial Intelligence↗
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Results for “Medical Informatics Computing”
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The rural and global medical informatics consortium and network for radiology services.
Telemedicine systems that provide health delivery services to rural clinics and hospitals are being demonstrated in clinical settings. This paper summarizes the research and consortia projects at the University of Arizona Medical Center. The paper describes the Rural and Global Picture Archiving and Communications (PACS) environment developed under a National Science Foundation grant. The Rural and Global PACS environment includes many workstations, database, and networking components and is treated as a large distributed system. These components are described in this paper. The multimedia services for radiology provided by the Rural and Global PACS are described and their performance is measured. Finally, the current research work using the Open Software Foundation's distributed computing environment (OSF DCE) services is described. An OSF DCE testbed for the Rural and Global PACS is described and the rationale of using OSF DCE in the project is presented.
Arizona↗
Education of medical informatics in Bosnia and Herzegowina.
Time of information in which the authors live resulted in the increase of the amount of the information exponential growth of the new kind of knowledge, flourishing of the familiar ones and the appearance of the new sciences. Medical (health) informatics occupies the central place in all the segments of modern medicine in the past 30 years--in practical work, education and scientific research. In all that, computers have taken over the most important role and are used intensively for the development of the health information systems. Following activities develop within the area of health informatics: health-documentation, health-statistics, health-informatics and bio-medical, scientific and professional information. The pioneer in the development of the health statistics and informatics in Bosnia and Herzegovina (BiH) was Dr Evgenije Sherstnew, who was the Chief of Health Statistics in the Ministry of Health of BiH from 1946-1952, and who founded and led, from 1952 to the end of his life, the Department of Medical Documentation and Health Statistics of the Central Health Institute of BiH, the core around which a group of experts for the development of this field have gathered. In the eighties computers were intensively used as a tool for the processing medical data and with them the development of health information systems at the level of the outpatient-clinics, hospitals, clinical centers, as well as the integral information system of health, health insurance and the social security system of BiH began. Finally, Society for Medical Informatics of BiH, which as a professional association gathers experts in the area of health informatics, actively propagates this profession in the Republic, was founded. With reform of the lectures and curriculum at the medical faculty in Sarajevo, the course in 'Medical Informatics' has been in 1992. into the second semester, since it was assumed that an early insight into the principles of information along with studies of so called basic pre-clinic sciences, especially basics of information, would make things easier for the students the more informative education is in the course of their medical studies. The medical faculty in Sarajevo also established and accepted a course of health informatics and economics of post-graduate studies in 1979, of which the main objective is education of experts for work informatics jobs in health care system and services, especially for needs of the future information systems in BiH.
Bosnia and Herzegovina↗
Establishing an agenda for biomedical informatics.
OBJECTIVE: To describe potential areas of collaboration between Medical Informatics (BI) and Bioinformatics (BI) and their effects on planning future work in both disciplines. METHODS: Some reflections on the objectives and rationale underpinning MI and BI are given, and preliminary results from the BIOINFOMED workgroup, supported by the European Commission, are introduced. RESULTS: Applications from both subfields suggest topics for sharing and exchange between the subfields within the emerging field of Biomedical Informatics. CONCLUSIONS: We suggest how the nature and degree of collaboration between the sub-disciplines can impact future work in molecular medicine.
Biomedical Research↗
A framework for the application of knowledge technology to the management of diseases.
Medical diagnosis and treatment constitute a network of interrelated processes. The conventional method of medical diagnosis and treatment of diseases involves a state space search of the medical knowledge of diseases and patient history, which could be combinatorially explosive. This paper presents a report on the experimental study of an intelligent, interactive, user-friendly, knowledge-based system which performs a stepwise analysis of a patient's complaints, filtering cognitive and emotional elements to be able to make inferences. It applies both forward and backward chaining in making inferences concerning the management of disease. A case study of the system is carried out using some tropical diseases. It is believed that the system will serve as a useful contribution towards tropical medical informatics.
Computer Systems↗
Nursing information management and processing: a framework and definition for systems analysis, design and evaluation.
This paper discusses a new framework and definition for the development of nursing information systems. Graves and Corcoran presented a framework for nursing informatics and defined the science. In this article their framework is expanded to include nursing practice as domain of study and to better integrate the fact that nursing informatics finds its foundation in both the nursing and the informatics disciplines. The expansion is based on both the review of definitions of medical and nursing informatics and of models and descriptions from the informatics discipline. For research purposes, the domain of nursing informatics is defined, and methods for conducting investigations in the area of analysis, modeling and development of nursing information systems are described.
Computer Simulation↗
Potential for the usage of information technologies and communications (ITC) in the teaching and practice of nurses in Madeira.
The propose of this communication is to describe the present nursing situation in Madeira (RAM) and its potentialities for the utilisation of the Information Technologies and Communications (I.T.C.) in educational and in clinical practice. RAM has its own Regional Health System and is developing a Health Information System, a Nursing Education System which conglobates a Baccalaureate Nursing School and a Licentiate's degree Nursing School which graduates almost the totality of the nurses who work here in Madeira, a Health Professional Education Department, common to the different organisations and a Regional Nursing Research Group constituted by elements representing the several organisations of health and which has been developing Research Education and dynamize Research Projects in nursing practice. The Nursing Schools in addition to the Health Organisation, use the Nursing Theoretical Models and the Nursing Process since 1990 Referring to the utilisation of the ITC in Education and in the Clinical Practice, despite the school curricula include informatics subjects, nurse's knowledge and opportunities of utilisation are still too incipient. Nevertheless, the present reform of the baccalaureate course curriculum as well as the aims and strategies of the Nursing Research Group and training strategies will provide positive changes.
Computer Communication Networks↗
Health informatics in Canada: a vision for the next millennium.
Around the world, informatics has been cited as a key enabler of health sector reform. Recent reform programs in Canada, reflecting this global consensus, have emphasized the importance of quality information and information technology in achieving their goals. This paper describes the current status of health informatics in Canada and provides a vision for the evolution of Canada's health information infrastructure.
Canada↗
Information science for the future: an innovative nursing informatics curriculum.
Health care is increasingly driven by information, and consequently, patient care will demand effective management of information. The report of the Priority Expert Panel E: Nursing Informatics and Enhancing Clinical Care Through Nursing Informatics challenges faculty to produce baccalaureate graduates who use information technologies to improve the patient care process and change health care. The challenge is to construct an evolving nursing informatics curriculum to provide nursing professionals with the foundation for affecting health care delivery. This article discusses the design, implementation, and evaluation of an innovative nursing informatics curriculum incorporated into a baccalaureate nursing program. The basic components of the curriculum framework are information, technology, and clinical care process. The presented integrated curriculum is effective in familiarizing students with informatics and encouraging them to think critically about using informatics in practice. The two groups of students who completed the four-course sequence will be discussed.
Computer Systems↗
Clinical results using informatics to evaluate hereditary cancer risk.
A 12-year medical informatics project is described whose goal was to create a distributable computer-based service to support the identification of hereditary cancer patterns and recommend concomitant protocols of patient care surveillance. Key elements of the successful implementation strategy are described as the service has been successfully utilized at more than a dozen other cancer centers. Multi-year clinical results are presented from the implementation of this service.
Adult↗
The evolution of SUMsearch for teaching clinical informatics to third-year medical students.
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Attitude of Health Personnel↗
A study of the medical record interface to natural language processing.
The information about a patient tends to be handled more on a computer system. However, it is not sufficiently rational enough because of the fundamental difference between man and a computer. Up to now, man has treated information using a natural language. Therefore, if it can be applied to handle medical information electrically, that will become more rational. For this reason, we developed a new classification method that interfaces a computer with the human being, using a natural language. This method was named as a situation-oriented medical record, and this depicts changes in a situation by the case frame from a viewpoint of man's cognition. Moreover, the medical communication by a natural language, which is currently used when a patient changes a hospital, was analyzed in order to confirm the validity of this method. In addition, we developed a prototype system that allows computers to implement this kind of communication.
Humans↗
Increases in resident and faculty computing skills between 1998 and 2001.
BACKGROUND AND OBJECTIVES: Following a 1998 survey, we hypothesized that family practice residents would soon demand more advanced informatics and computer training than faculty could provide. We repeated the survey in 2001 to test our hypothesis. METHODS: We surveyed 97 first-year medical students, 46 family practice residents, and 18 family medicine faculty at our institution. We compared responses among groups and within groups since 1998. RESULTS: Significantly more respondents owned a computer in 2001 than in 1998. E-mail and Internet use increased dramatically for all groups. Students and faculty had significantly greater confidence in their general computer abilities than residents did in 2001, but third-year residents' confidence had increased significantly since 1998. Respondents cited inadequate computer resources as the most important barrier to effective computer use. CONCLUSIONS: Resident and faculty self-assessed computer skills have increased substantially at our program since 1998. These increases appear due to the current ubiquity of computers in society and improvements in device functionality and ease of use rather than curricular activities. Few residents and faculty need the basic computer training recommended in curricular guidelines. Residency programs should maintain up-to-date computer resources and consider providing selective advanced computer skills training.
Attitude to Computers↗
Toward an information society for all: challenges in health telematics.
In the emerging information society each hospital is supposed to become a node of a complex networked information system that has to be accessible to a variety of users. These include doctors, nurses, administrators and the patients themselves, whose role is briefly described. This asks for a new approach to the implementation of the interfaces of the information system, which are used to carry out different tasks by people with different interests and computer literacy. A new approach to the implementation of such interfaces, based on the concepts of User interfaces for All, is briefly outlined, describing the scientific and technical achievements in some projects partially funded by the European Commission and the activities of the International Scientific Forum "Towards an Information Society for All" set-up to discuss and promote the relevant scientific concepts and technical issues.
Hospital Information Systems↗
A global perspective of health informatics today and tomorrow. Interview by Barbara Hellelgrave.
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Computer Communication Networks↗
The significance of cognitive modeling in building healthcare interfaces.
BACKGROUND: Although there are many reasons that widespread adoption of healthcare information systems has not transpired, one reason is a failure to take into account the cognitive needs of the users. AIM: To understand the cognitive needs of nurses and physicians and determine how these needs should influence the design of healthcare interfaces. DESIGN OF STUDY: A qualitative and quantitative study that compares how nurses and physicians comprehend patient information. SETTING: Twenty-four registered nurses and twenty-four physicians working in the specialties of gastrointestinal or internal medicine. METHODS: Each clinician reviewed two mock electronic medical records and summarized the cases using a think-aloud protocol. All verbalizations were coded for medical and conceptual information. RESULTS: The nurses included a larger mean proportion (p<0.001) of recalls than did the physicians. As compared to the nurses, the physicians included a statistically significant (p<0.001) larger mean proportion of inferences, conditional statements, and interventions. The nurses concentrated on functional problems, whereas the physicians focused on diagnosis, treatment, and management. CONCLUSION: The main cognitive differences between the physicians and the nurses are explained through the differences in their practice models. Therefore, healthcare IT must develop separate interfaces for each discipline to address their unique needs.
Adult↗
QIS: A framework for biomedical database federation.
Query Integrator System (QIS) is a database mediator framework intended to address robust data integration from continuously changing heterogeneous data sources in the biosciences. Currently in the advanced prototype stage, it is being used on a production basis to integrate data from neuroscience databases developed for the SenseLab project at Yale University with external neuroscience and genomics databases. The QIS framework uses standard technologies and is intended to be deployable by administrators with a moderate level of technological expertise: It comes with various tools, such as interfaces for the design of distributed queries. The QIS architecture is based on a set of distributed network-based servers, data source servers, integration servers, and ontology servers, that exchange metadata as well as mappings of both metadata and data elements to elements in an ontology. Metadata version difference determination coupled with decomposition of stored queries is used as the basis for partial query recovery when the schema of data sources alters.
Computer Communication Networks↗
Predictive data mining in clinical medicine: current issues and guidelines.
BACKGROUND: The widespread availability of new computational methods and tools for data analysis and predictive modeling requires medical informatics researchers and practitioners to systematically select the most appropriate strategy to cope with clinical prediction problems. In particular, the collection of methods known as 'data mining' offers methodological and technical solutions to deal with the analysis of medical data and construction of prediction models. A large variety of these methods requires general and simple guidelines that may help practitioners in the appropriate selection of data mining tools, construction and validation of predictive models, along with the dissemination of predictive models within clinical environments. PURPOSE: The goal of this review is to discuss the extent and role of the research area of predictive data mining and to propose a framework to cope with the problems of constructing, assessing and exploiting data mining models in clinical medicine. METHODS: We review the recent relevant work published in the area of predictive data mining in clinical medicine, highlighting critical issues and summarizing the approaches in a set of learned lessons. RESULTS: The paper provides a comprehensive review of the state of the art of predictive data mining in clinical medicine and gives guidelines to carry out data mining studies in this field. CONCLUSIONS: Predictive data mining is becoming an essential instrument for researchers and clinical practitioners in medicine. Understanding the main issues underlying these methods and the application of agreed and standardized procedures is mandatory for their deployment and the dissemination of results. Thanks to the integration of molecular and clinical data taking place within genomic medicine, the area has recently not only gained a fresh impulse but also a new set of complex problems it needs to address.
Clinical Medicine↗