Developing a Standards-Based Information Model for Representing Computable Diagnostic Criteria: A Feasibility Study of the NQF Quality Data Model.
The lack of a standards-based information model has been recognized as a major barrier for representing computable diagnostic criteria. In this paper we describe our efforts in examining the feasibility of the Quality Data Model (QDM)-developed by the National Quality Forum (NQF)-for representing computable diagnostic criteria. We collected the diagnostic criteria for a number of diseases and disorders (n=12) from textbooks and profiled the data elements of the criteria using the QDM data elements. We identified a number of common patterns informed by the QDM. In conclusion, the common patterns informed by the QDM are useful and feasible in building a standards-based information model for computable diagnostic criteria.
Mayo Clinic College of Medicine, Rochester, MN, USA.
Guoqian
G
Jiang
Mayo Clinic College of Medicine, Rochester, MN, USA.
Harold R
HR
Solbrig
Mayo Clinic College of Medicine, Rochester, MN, USA.
Jyotishman
J
Pathak
Mayo Clinic College of Medicine, Rochester, MN, USA.
Christopher G
CG
Chute
D000068598:Data Accuracy; D003933:Diagnosis; D005240:Feasibility Studies; D038801:International Classification of Diseases / Q000592:standards*; D008962:Models, Theoretical; D009323:Natural Language Processing; D017410:Practice Guidelines as Topic; D009626:Terminology as Topic; D014481:United States