Nomograms are used extensively in medical practice as decision aids to adjust treatment protocols based on knowledge gained from previous outcomes. In this paper, we describe a case study of a surgical nomogram system that was developed for estimating laser settings in refractive eye surgery. This system was developed in Microsoft Access with add-ins from Total Access Statistics. It is being used in one of the authors' surgical practice. Based on experiences with the system, we present an enhanced architecture for a nomogram server that can be used in other areas of medicine.
Kaparthi, Shashidhar and Woodlief, Norman F.
"Information Systems and Health Care-VI: Medical Nomograms with Decision Support Systems: A Case Study and an Enhanced Architecture,"
Communications of the Association for Information Systems: Vol. 16
, Article 21.
Available at: https://aisel.aisnet.org/cais/vol16/iss1/21