Conclusion
We have described the key elements of quality control in a database system and have discussed these with respect to the University of Illinois Perinatal Database. Clearly, the hallmark of a successful database is the ease with which high quality data can be stored and retrieved, and the usefulness of the reports that can be generated. In order to achieve these ends, quality control cannot be an afterthought, but must be the cornerstone of the system.
Similar content being viewed by others
References
O’Connor RW. Managing data quality through automation.Toxicology 1987; 47: 109–118.
Williams RL. Large scale perinatal data systems using vital statistics: In : Harris TR, Bahr JP, eds.The Use of Computers in Perinatal Medicine. New York : Praeger Publishers, 1982 : 33–81.
The University of Illinois Perinatal Database system utilizes the following computer software : INFORMIX, a relational database management product of Relational Database Systems, Inc., Palo Alto, Ca; SIR/DBMS, a database management product of ISI, Inc., Northbrook, I1; SAS, a statistical analysis product of SAS Institute Inc., Cary, NC; and PL/I, a programming language product of IBM.
Winegar A, Spellacy WN, Vidyasagar D. Peterson PQ. A system to monitor patient care in a perinatal region.Am J Obs and Gyne 1983; 145: 39–43.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Rosenberg, D., Rhodes, C., Ferre, C. et al. Ensuring quality in a computerized database system : A perinatal network. Indian J Pediatr 57, 63–71 (1990). https://doi.org/10.1007/BF02722131
Issue Date:
DOI: https://doi.org/10.1007/BF02722131