The WMA and computers in medicine

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Computers in Medicine

From a dissertation read before the Society on Friday, 4th November, 1966The subject of this dissertation is Computers in Medicine and even those who have had nothing to do with these machines will be unable to ignore them in the very near future. A brief account of how they work is given here, followed by the description of a few of their applications in Medicine. In fact, learning to programme the machine is very simple, and the University Computer unit runs a special course three times a year for this purpose. Many people think of the computer as something between a glorified adding machine and a sort of god that can do anything, whereas in fact the truth lies somewhere in between

Current Literature

Material appearing below is thought to be of particular interest to Linacre Quarterly readers because of its moral, religious, or philosophic content. The medical literature constitutes the primary but not the sole source of such material. In general, abstracts\u27 are intended to reflect the substance of the original article. Contributions and comments from readers are invited. (E. C. Laforet, M.D. , 2000 Washington St., Newton Lower Falls, MA. 02162.

Computer aided localization of neurological diseases

Computers in medicine has brought new dimensions and better understanding of uncertainties in the field of medical sciences in the last decade. This thesis is focused upon the localization of neurological lesions in the human nervous system. It relates clinical neurological test outcomes to pathways of function or malfunction. Certain methods are proposed-empirical. stochastic. Deterministic-to estimate the spatial distributions of lesion probabilities. First. a Bayesian model is presented to estimate the posterior probability of lesion from a priori information, based on the test outcomes. Due to unavailable data alternative methods and models are presented: Regression Analysis. Monte Carlo simulation, and finally a new model known as Logistic Sigmoid Nonlinearity is proposed for probability estimation. This dissertation analyzes each of these models and alternative methodologies in detail

Research Progress of Computer in Medicine

With the rapid development of electronic computers, computer technology has been applied into various fields of medicine and its management. The application of computers in medical treatment has also greatly promoted the development of medical treatment. Research on the application condition of computers in medicine is of great importance to future medical care

Synapsis: Philadelphia Campus (1999)

This yearbook covers the Centennial, 100 Years, Trips, Parties, Prom, Halloween, Soiree, Football, Orientation, Biomedical Sciences Program, Physician Assistant Program, Student Council, Class Officers, Clubs, Physicians for Social Responsibility, PSR, Emanuel Fliegelman Obstetrics and Gynecology, A Capella, Pathology, Women\u27s Rugby, Daniel Wisely Surgery, American College of Osteopathic Family Practitioners, ACOFP, Jewish Physicians\u27 Network, Geriatrics, Undergraduate American Academy of Osteopathy, UAAO, Men\u27s Soccer, Yearbook Staff, Association Of Military Osteopathic Physicians and Surgeons, AMOPS, Sigma Sigma Phi, SSPh, (ΣΣΦ), Internal Medicine, Volleyball, Emergency Medicine, Robert Berger, DO Pediatric Society, Student Associates Auxiliary, SSA, Sport Medicine, Men\u27s Rugby, American Medical Women\u27s Association, AMWA, Student Osteopathic Medical Association, SOMA, Clinical Pharmacology & Therapeutics, Phi Sigma Gamma, PhSG, (ΦΣΓ), Roller Hockey, Basketball, Ethics Committee, Community of Italian American Osteopaths, CIAO, Public Health, Physician Assistants, Islamic Medical Association, Running, Asian Medical & Health Association, Ballroom Dance, Business & Medicine, American Medical Student Association, AMSA, Christian Medical And Dental Society, CMDS, Computers in Medicine, Science in Medicine, Psychology, Medical Explorers, Student National Medical Association, SNMAhttps://digitalcommons.pcom.edu/yearbooks/1093/thumbnail.jp

The Future Effect of the Computer and the Research Scientist on Medical Practice

The computer is here. It has become a part of medicine. We have talked for a day and a half now about some of the applications of computers in medicine, and of the future of at least some of these applications. There is a language problem in communicating with computers, but certainly the future is going to see a medical language, comparable to the scientific language Fortran, built to enable physicians to communicate with the computer. The real advancements in computer application depend at least in part upon active use by physicians of computers. In closing, let me summarize by saying that I feel that the major effects of current research will be to: 1. provide more quantitative information concerning man\u27s physiology especially as it is affected by his environment; 2. provide a classification, storage, and retrieval system for the collected information; and 3. provide more effective means for continuing medical education. It should be emphasized that modern medical research should provide us with the information necessary for physicians to make meaningful decisions concerning the care of their patients, and after all good patient care is the goal of all of medicine

Handheld computers for data entry: high tech has its problems too

Background The use of handheld computers in medicine has increased in the last decade, they are now used in a variety of clinical settings. There is an underlying assumption that electronic data capture is more accurate that paper-based data methods have been rarely tested. This report documents a study to compare the accuracy of hand held computer data capture versus more traditional paper-based methods. Methods Clinical nurses involved in a randomised controlled trial collected patient information on a hand held computer in parallel with a paper-based data form. Both sets of data were entered into an access database and the hand held computer data compared to the paper-based data for discrepancies. Results Error rates from the handheld computers were 67.5 error per 1000 fields, compared to the accepted error rate of 10 per 10,000 field for paper-based double data entry. Error rates were highest in field containing a default value. Conclusion While popular with staff, unacceptable high error rates occurred with hand held computers. Training and ongoing monitoring are needed if hand held computers are to be used for clinical data collection