Quality control of software in dissimilar systems using a common clinical data base
For a long time there has been widespread interest in the quality control of diagnostic instrumentation. The increasing dependence on computational systems for clinical results makes it imperative that methods for quality control of diagnostic software be developed. This paper proposes a method based on the use of a collection of patient studies for which the results have been corroborated by independent methods. The data set will be distributed in a format requiring no special handling by the system being tested and will appear identical to studies actually collected by the host system. An example of the use of a preliminary version of the data set for comparison of two systems is shown. The comparison shows that analyses performed on the two systems agree very well and can be reliably compared for follow-up studies of a patient.
- Research Organization:
- Vanderbilt Univ., Nashville, TN (USA). Medical Center
- Sponsoring Organization:
- USDOE Office of Environment, Safety and Health (EH)
- DOE Contract Number:
- AS05-80EV10343
- OSTI ID:
- 5195132
- Report Number(s):
- DOE/EV/10343-4; CONF-800937-2; TRN: 80-015542
- Resource Relation:
- Conference: International symposium on medical radionuclide imaging, Heidelburg, F.R. Germany, 1 Sep 1980
- Country of Publication:
- United States
- Language:
- English
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