The Medical Algorithms Project    
 
     
Papers & Presentations


This page contains abstracts of recent papers, and presentations. To download the complete version click on the download icon next to the abstract.


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 MG Sriram,
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    
MEDAL: The Medical Algorithm
Project 		Washington, DC.
November 6-10, 1999.		 Svirbely J, Sriram MG.
Medal, A compendium of medical algorithms for access over the internet. American Medical Informatics Association Annual Symposium.
MEDAL: The Medical Algorithm
Project 		Baltimore, Maryland.
October 20-23, 2002.		 Hira K, Svirbely JR, Aoki N, Dunn K.
Comparison of computerized algorithm source "Medal" and text-based source in using algorithms on clinical scenario of trauma patients. Society of Medical Decision Making 24th Annual Meeting.
MEDAL: The Medical Algorithm
Project 		MEDINFO 2004,
San Francisco.
September 7-11, 2004.		 Saleem S, et al.
Usability testing of a web-based information resource as a development tool.
MEDAL: The Medical Algorithm
Project 		December 4-8, 2005. Iyengar MS, Svirbely JR.
Computer-based medical algorithms: Overview and experiences. Mednet 2005, Prague, Czech Republic. December 4-8, 2005. published in Technology and Health Care. 2005; 13(5); 403-405.
MEDAL: The Medical Algorithm
Project 		December 4-8, 2005. Svirbely, Iyengar MS.
Issues in the implementation of computer-based medical algorithms. Mednet 2005, Prague, Czech Republic. December 4-8, 2005. published in Technology and Health Care. 2005; 13(5); 438-439.