DEVELOPING A METHOD FOR IDENTIFYING AND REDUCING FUNCTIONAL DISCREPANCIES OF INFORMATION SYSTEMS

Currently more than half of Electronic Health Record (EHR) projects fail. Most of these failures are not due to flawed technology, but rather due to the lack of systematic considerations of human issues. Among the barriers for EHR adoption, function mismatching among users, activities, and systems is a major area that has not been systematically addressed from a human-centered perspective. A theoretical framework called Functional Framework was developed for identifying and reducing functional discrepancies among users, activities, and systems. The Functional Framework is composed of three models – the User Model, the Designer Model, and the Activity Model. The User Model was developed by conducting a survey (N = 32) that identified the functions needed and desired from the user’s perspective. The Designer Model was developed by conducting a systemic review of an Electronic Dental Record (EDR) and its functions. The Activity Model was developed using an ethnographic method called shadowing where EDR users (5 dentists, 5 dental assistants, 5 administrative personnel) were followed quietly and observed for their activities. These three models were combined to form a unified model. From the unified model the work domain ontology was developed by asking users to rate the functions (a total of 190 functions) in the unified model along the dimensions of frequency and criticality in a survey. The functional discrepancies, as indicated by the regions of the Venn diagrams formed by the three models, were consistent with the survey results, especially with user satisfaction. The survey for the Functional Framework indicated the preference of one system over the other (R=0.895). The results of this project showed that the Functional Framework provides a systematic method for identifying, evaluating, and reducing functional discrepancies among users, systems, and activities. Limitations and generalizability of the Functional Framework were discussed.

Quantitation of C4a and C4b in systemic lupus erythematosus patients

The fourth component of human complement (C4) exists in blood as two major forms or isotypes which differ in their biochemical and functional properties. Because C4A preferentially transacylates onto amino groups, it has been postulated that this isotype is more important in the clearance of immune complexes. Patients having systemic lupus erythematosus (SLE), an autoimmune disease, have an increased incidence of C4A null genes and presumably decreased levels of C4A. Currently accepted methods for the detection of C4, however, cannot accurately quantitate C4A and C4B. Thus, their role in disease susceptibility and activity has not been studied. A novel immunoassay, which utilized heat-aggregated IgG to activate and capture C4, was developed for accurate quantitation of total C4, C4A and C4B by monoclonal antibody conjugates. Higher mean total C4 values were found in a healthy Black control population when compared to White controls. This appeared to be due to an increase in C4B. In SLE patients, mean total C4 levels were significantly lower than controls regardless of disease activity. Serial patient studies showed that the ratio of C4A:C4B remained relatively constant. When the patient group was compared to controls based on C4 null gene status, the mean levels of C4A were identical while C4B was decreased in the patients. This suggests that the common HLA-B8, Dr3 C4A*Q0 gene deletion found in SLE patients may also adversely affect genetic control of the C4B genes. Furthermore, low levels of C4A cannot fully account for disease development in SLE patients having C4A null genes. ^