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PubMed2002

An innovative partnership in service.

OBJECTIVE: Stimulated by the need for better alignment of educational content and goals with evolving societal needs, practice patterns, and scientific developments, many medical schools are implementing new and creative educational experiences for students. Tulane University School of Medicine and Apple Computers have established an innovative partnership in which Apple laptop computers support and enhance students' service learning projects. The partnership also provides a unique opportunity to meet the Medical School Objectives Project (MSOP) objectives in Medical Informatics and Population Health, as outlined in Report II.(1) DESCRIPTION: Apple Computers has a commitment to the New Orleans community as part of its corporate strategic plan to support educational programs at all levels; Tulane has a longstanding commitment to and experience with student-led service learning as part of the Foundations in Medicine Course.(2) Senior administrative personnel from Tulane and Apple discussed these common interests, resulting in a partnership to enhance the potential impact on the community served. Apple agreed to donate 20 G3 Powerbooks and a complete set of the Apple Learning series of software to support new and ongoing service-learning projects. A committee of Tulane faculty and students, information technology staff, and an Apple representative developed the project. To maximize students' access to the laptops while managing the administration's liability, the laptops were identically configured with standardized software packages (database development and maintenance, Web access, word processing, presentation development and execution, automated backup, and individual project access to protected server space). To maximize the use of the laptops, students from the service-learning organizations can check out the laptops on a just-in-time basis, because the projects have different needs over time. Student-service leaders are currently defining and developing the exact uses for the laptops. We anticipate that this project will enhance the administrative management of service-learning programs (e.g., schedules, directions to sites), the presentation of educational programs (e.g., teaching in schools), the creation of new media to support programs (e.g., our restaurant choking program has a partnership with the American Heart Association to create a video and training manual to be used nationwide), and data tracking (e.g., sites and clients served, outcomes achieved). Students' use of the laptops should support the achievement of several of the MSOP Report II Medical Informatics objectives. To assess that, all first-year medical students are completing a pre- and post-project survey based on those objectives. DISCUSSION: The availability of laptops and software should significantly enhance the service-learning programs. The students participating should gain important skills in the use of computer technology related to their roles as lifelong learners, educators and communicators, researchers, and managers.(1) We plan to report the results of the pre- and post-project surveys once they have been completed. Students' feedback on the project has been very positive, and we hope it can serve as a model for other medical school, corporate, and community partnerships.

Health Services↗
PubMed1989

The status of medical informatics in Canadian medical schools.

Many have suggested that information technology in its various forms will continue to have an effect on all aspects of medicine, including medical education. If so, the introduction of information technology into medicine brings with it critical educational policy questions. This paper reports on the findings of an inquiry into the impact of information technology on medical education. It reviews the extent to which Canadian and American medical colleges have adopted the 1985 recommendations of the American Association of Medical Colleges. In particular, it looks at the recommendations that "medical informatics should become an integral part of the medical curriculum" and that "the teaching of medical informatics should include opportunities for specific instruction in its fundamentals as well as adequate examples of its application throughout the medical curriculum".

Attitude to Computers↗
PubMed2003

Defining biomedical informatics competency: the foundations of a profession.

Is biomedical informatics a science or a profession? This question has been asked of many members in the biomedical informatics community, yet we still lack a response that galvanizes our community. We debate the issues over lunch. We create long, multi-threaded e-mail discussions, we write papers on the topic, and still we aren't able to convince ourselves-let alone the rest of the scientific community. In this paper, I will describe a curriculum model for biomedical informatics and research that is developing at Columbia University, Department of Biomedical Informatics (DBMI). We believe that a strong educational foundation creates competent professionals who, in turn, comprise a bioinformatics culture. The outcome of DBMI's curriculum design and competency project will be a set of biomedical informatics competencies which we believe will define the core knowledge and skills of the field.

Computational Biology↗
PubMed2003

Bayesian machine learning and its potential applications to the genomic study of oral oncology.

With the completion of the Human Genome Project and the growing computational challenges presented by the large amount of genomic data available today, machine learning is becoming an integral part of biomedical research and plays a major role in the emerging fields of bioinformatics and computational biology. This situation offers unparalleled opportunities and unprecedented challenges to machine learning research in general and to Bayesian learning methods in particular. This paper outlines some of the opportunities and the challenges of this endeavor, it describes where the efforts of "cracking the code of life" can most benefit from a Bayesian approach, and it identifies some potential applications of Bayesian machine learning methods to the genomic analysis of squamous cell carcinomas of the head and neck.

Bayes Theorem↗
PubMedDate not supplied

A patient's perspective of medical informatics.

From my viewpoint as a patient, 1. Medical knowledge has expanded to the point that individuals cannot adequately improve quality without the assistance of computer programs. 2. The medical profession must concentrate on why and how computer program projects must be used, not on why they cannot be used. 3. The successful application of computer programs to clinical medicine is dependent mainly on the efforts of individual institutions and people at the local level.

Diagnosis, Computer-Assisted↗
PubMed1995

Healthcare Information Framework.

CEN committee TC 251 Medical Informatics, has set up a project team charged with producing a European pre-standard ENV on Healthcare Information Framework (HIF). The HIF is based on abstraction from a specific information system architecture to a reference architecture and further to a conceptual architectural framework based on serving open, distributed and heterogeneous healthcare enterprises. To specify the suitable healthcare information system architecture modelling of the healthcare enterprise is required. As there is no one method serving all needs, the HIF gives guidance on what aspects to look at in selecting a suitable modelling method. It is expected that the work will be completed by early 1995.

Artificial Intelligence↗
PubMed1997

Quality of healthcare related software applications--setting up an accreditation system in Hungary.

Meeting expectations of high quality health care, the safe and secure operation of medical information systems is a "must". However for healthcare software nationwide quality control systems are not widely used. A quality control project of health care applications in Hungary has been launched in 1996 by the Hungarian Society of Healthcare Informatics (MEIT) and Medico-Biological Section of Johann Neumann Society of Computing (NJSZT) by establishing a joint Healthcare Informatics Applications Accreditation Board (Board ESAB). The Board developed an evaluation methodology and a legal procedure to test health care software application modules. The evaluation method is based on international standards as ISO-9126 and on emerging European standards of CEN/TC 251. First rounds of accreditation already proved that there is a need among providers and users for the accreditation process. The authors hope that establishing an accreditation system will lead to a more balanced health care software market where users have an opportunity to inform themselves by the opinion of independent experts on the product they intend to purchase.

Accreditation↗
PubMed1997

Health informatics: handle with caution.

The increased use of computers is a response to the considerable growth in information in all fields of activities. Related to this, in the field of medicine a new component appeared about 40 years ago: Medical Informatics. Its goals are to assist health care professionals in the choice of data to manage and in the choice of applications of such data. These possibilities for data management must be well understood and, related to this, two major dangers must be emphasized. One concerns data security, and the other concerns the processing of these data. This paper discusses these items and warns of the inappropriate use of medical informatics.

Computer Security↗
PubMed2002

Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System.

Given the post September 11th climate of possible bioterrorist attacks and the high profile 2002 Winter Olympics in the Salt Lake City, Utah, we challenged ourselves to deploy a computer-based real-time automated biosurveillance system for Utah, the Utah Real-time Outbreak and Disease Surveillance system (Utah RODS), in six weeks using our existing Real-time Outbreak and Disease Surveillance (RODS) architecture. During the Olympics, Utah RODS received real-time HL-7 admission messages from 10 emergency departments and 20 walk-in clinics. It collected free-text chief complaints, categorized them into one of seven prodromes classes using natural language processing, and provided a web interface for real-time display of time series graphs, geographic information system output, outbreak algorithm alerts, and details of the cases. The system detected two possible outbreaks that were dismissed as the natural result of increasing rates of Influenza. Utah RODS allowed us to further understand the complexities underlying the rapid deployment of a RODS-like system.

Algorithms↗
PubMed1998

Medical information processing: an interactive course for the Internet.

Medical students in Germany have to study the basics of medical information processing within a special curriculum which is part of the ecological course. This curriculum offers an introduction to principles of medical informatics. Starting with a conventional textbook, a computer-based training (CBT) program has been developed using the technologies of the internet and the World Wide Web (WWW). Features of the program include a well structured presentation of the information within the software and a high degree of interactivity. Early experiences suggest that this program enhances the learning in the domain of medical information processing. The program may be viewed via the URL: htfp.//www.med-rz.uni-sb.de/med_fak/imbei/pro jekt.

Education, Medical↗
PubMed1995

Enormous knowledge base of disease diagnosis criteria.

One of the problems in the development of the medical knowledge systems is the limitations of the system's knowledge. It is a common expectation to increase the number of diseases contained in a system. Using a high density knowledge representation method designed by us, we have developed the Enormous Knowledge Base of Disease Diagnosis Criteria (EKBDDC). It contains diagnostic criteria of 1,001 diagnostic entities and describes nearly 4,000 items of diagnostic indicators. It is the core of a huge medical project--the Electronic-Brain Medical Erudite (EBME). This enormous knowledge base was implemented initially on a low-cost popular microcomputer, which can aid in the prompting of typical disease and in teaching of diagnosis. The knowledge base is easy to expand. One of the main goals of EKBDDC is to increase the number of diseases included in it as far as possible using a low-cost computer with a comparatively small storage capacity. For this, we have designed a high density knowledge representation method. Criteria of various diagnostic entities are respectively stored in different records of the knowledge base. Each diagnostic entity corresponds to a diagnostic criterion data set; each data set consists of some diagnostic criterion data values (Table 1); each data is composed of two parts: integer and decimal; the integral part is the coding number of the given diagnostic information, and the decimal part is the diagnostic value of this information to the disease indicated by corresponding record number. For example, 75.02: the integer 75 is the coding number of "hemorrhagic skin rash"; the decimal 0.02 is the diagnostic value of this manifestation for diagnosing allergic purpura. TABULAR DATA, SEE PUBLISHED ABSTRACT. The algebraic sum method, a special form of the weighted summation, is adopted as mathematical model. In EKBDDC, the diagnostic values, which represent the significance of the disease manifestations for diagnosing corresponding diseases, were determined empirically. It is of a great economical, practical, and technical significance to realize enormous knowledge bases of disease diagnosis criteria on a low-cost popular microcomputer. This is beneficial for the developing countries to popularize medical informatics. To create the enormous international computer-aided diagnosis system, one may jointly develop the unified modules of disease diagnosis criteria used to "inlay" relevant computer-aided diagnosis systems. It is just like assembling a house using prefabricated panels.

Artificial Intelligence↗