| Clinical applications projects
The Medical Algorithms Project
Development of a centralized and free repository of Medical Algorithms.
medical algorithms, evidence-based care, clinical decision rules, predicition rules, medical errors, quality of care, continuing medical education.
Collection, categorization, automation and dissemination of medical algorithms
MEDAL defines a medical algorithm as "any computation, formula, survey, or look-up table that is useful in healthcare".
The main goals of MEDAL are essentially to overcome some of the barriers contributing to underutilisation of
medical algorithms in healthcare by:
"ensuring accurate and reliable equations and algorithms
"providing adequate documentation with references to the original sources
"standardizing data elements, to enable automation of input and output
"indexing and linking for quick access and retrieval."
"Since the start of MEDAL, "over 5,100 algorithms, spanning major medical domains, have been collected and processed and organized into 45 chapters"
(table of contents).
Downloading medical algorithms
Each of the 45 MEDAL chapters consists of an MS Excel 97 Workbook and an Acrobat pdf document. For downloading, these have been compressed into self-extracting zip files.
NB: All material on the MEDAL site is intended only for the educational and personal use of health care students and professionals.
MEDAL chapter headings
Performance Measures & Quality of Life
- Body Dimensions & Blood Volumes
- Transfusion Medicine
- Cardiovascular System
- Electrocardiography & Cardiac Imaging
- Pulmonary & Acid Base
- Dentistry & Oral Medicine
- Hepatobiliary & Pancreas
- Endocrine & Metabolism
- Renal & Urinary System
- Obstetrics and Gynecology
- Male Genital System
- Musculoskeletal Disorders
- Immunology & Rheumatology
- Microbiology & Infectious Diseases
- Parasitology & Medical Entomology
- Antibiotics, Vaccines & Prophylaxis
- Infection Control
- Oncology -- Nonhematologic
- Oncology, Hematologic
- Trauma Medicine
- Critical Care
- Clinical Pharmacology & Toxicology
- Environmental Toxicology
- Environmental Health
- Medical & Environmental Radiation
- Physical & Sports Medicine
- Occupational Medicine & Disability Assessment
- Forensic Medicine
- Decisional Analysis
- SI & Conventional Units
- Laboratory Calculations
- Healthcare Administration
- Medical Genetics
- Pharmacy Practice
KA Johnson, JR Svirbely, MG Sriram et al. Automated Medical Algorithms: Issues for Medical Errors. Proc. AMIA 1999.
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.
G Kantor, JR Svirbely, KA Johnson et al. MEDAL: The Medical Algorithm Project. Proc. MedInfo 2001.
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 in Spanish
Aims to be a global resource.
The Institute for Algorithmic Medicine, a Texas non-profit corporation, owns the MEDAL site and its contents.
Dr John R. Svirbely, M.D.
M.G. Sriram, Ph.D.
Institute for Algorithmic Medicine
DrJohn@mhmh.org (on medical matters)
email@example.com (on non-medical matters).
| Entry in directory: September 10 2003
Last main update: September 10 2003