| Title |
Venue |
Authors |
Abstract |
|
| Introduction to MedAL |
|
John R Svirbely, M.D. |
Concepts and issues concerning Medical Algorithms |
Click here for presentation |
| Implementing Medical Algorithms for use in Cardiology |
Third International Congress of Cardiology on the Internet |
Sriram Iyengar,
Ph.D., et al |
A wealth of medical information exists in the form of published algorithms. These algorithms range from simple calculations to complex outcome predictions. Most clinicians use only a small subset routinely. The barriers to their use include the lack of knowledge that they exist, uncertainty about their boundaries, difficulty in converting to the units expressed in the algorithm, and lack of availability at the point of care. Algorithms would be more widely used if they were readily available in a practical format to clinicians, educators and researchers. Cardiology is knowledge-intensive and already well-computerized. Automation of medical algorithms relevant to cardiology can help to both distribute and apply medical information appropriately. This paper discusses the benefits, problems and issues in the development and clinical use of computer-based algorithms by cardiologists. |
 |
| Implementing Medical Algorithms to Reduce Errors |
AMIA 2002 |
Kathy Johnson, Ph.D., et.al |
|
Click here for Presentation |
| Automated Medical Algorithms: Issues for Anesthe-siologists |
ASA 2001, Anaheim, CA |
Gareth Kantor, M.D., et al |
The use of medical algorithms can enhance clinical judgment and favorably influence patient outcome. Computerized algorithms can provide timely clinical decision support, improve adherence to evidence-based guidelines, and be a resource for education and research |
|
| Automated Medical Algorithms: Issues for Medical Errors |
AMIA 2001, Washington DC |
Kathy Johnson, Ph.D., et al |
Medical errors can be reduced by the sharing of medical information and the correct application of medical information. A wealth of medical information exists in the form of published medical algorithms. These algorithms represent a summary of medical research ranging from simple calculations such as Body-Mass Index to complex outcome predictions. Application of such algorithms can generate information crucial to the clinical process. The barriers to their application include (among others): the lack of knowledge that they exist, uncertainty about their boundaries, difficulty in converting to the units expressed in the algorithm, and lack of availability at the point of care. Automation of medical algorithms can serve to both share the medical information as well as assist in the correct application of that information. |
|
MEDAL: The Medical Algorithm
Project |
MedInfo
2001,
London, UK |
Gareth Kantor, M.D., et al |
There are numerous algorithms in health care, but most practitioners use only a small subset routinely. Algorithms would be more widely utilized if they were readily available in a usable format to clinicians, educators and researchers. A centralized, free repository of automated medical algorithms would be beneficial to the practice of medicine. |
|
MEDAL: The Medical Algorithm
Project |
Anuales JAIIO, pag 93 - 99. SIS 2001; Jornadas Argentinas de Informática e Investigación Operativa; September 10 2001, Buenos Aires, Argentina |
Jorge Rodriguez, M.D., et al |
|
|
| MA Project |
Informatica Medica, pp 4, December 2000 |
Jorge Rodriguez, M.D., et al |
|
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