CaDet, a computer-based clinical decision support system for early cancer detection

A systematic review of the designs of clinical technology: findings and recommendations for future research

Human factors (HF) studies are increasingly important as technology infuses into clinical settings. No nursing research reviews exist in this area. The authors conducted a systematic review on designs of clinical technology, 34 articles with 50 studies met inclusion criteria. Findings were classified into 3 categories on the basis of HF research goals. The majority of studies evaluated effectiveness of clinical design; efficiency was fewest. Current research ranges across many interface types examined with no apparent pattern or obvious rationale. Future research should expand types, settings, and participants; integrate displays; and expand outcome variables.

Evaluation of CaDet, a computer-based clinical decision support system for early cancer detection: a comparison with the performance of clinicians

Based on an analysis of the epidemiologic and clinical attributes of individual patients, the CaDet computer program presents physicians with data patterns that may require clinical attention with regard to early cancer detection. This study evaluated the performance of the program as a possible tool to aid clinicians in the latter. Patient data were obtained by a questionnaire from 160 healthy volunteers. Scored cancer alerts generated by the computer program in response to this data were evaluated in comparison to similar alerts provided by five expert internists who reviewed the same information in blinded fashion. The alert profiles generated by the computer for each of the patients examined were highly correlated to those provided by the clinicians. The computer's alert rate increased with the number of physicians who raised corresponding alerts (20%, 32%, 54%, 73% and 91%, respectively, for 1, 2, 3, 4 and 5 physicians, p < 0.0001) and with the overall weight assigned by the physicians to these alerts (22%, 56%, 84% and 90% for cumulative scores of 1-4, 5-8, 9-12 and 13 or more points, respectively, p < 0.0001). It is concluded that the CaDet computer program may have a role in improving early detection, pending the results of further clinical research.

A computerized decision support system for ovarian stimulation by gonadotropins

OBJECTIVE

To evaluate the effectiveness of a computerized decision support system for ovarian stimulation with gonadotropins.

DESIGN

Retrospective and prospective randomized studies.

SETTING

Private and university teaching hospital.

PATIENT(S)

Women undergoing ovarian stimulation to treat infertility.

MAIN OUTCOME MEASURE(S)

Pregnancy rate.

RESULT(S)

In the retrospective study, computer-generated decisions were compared with clinicians' decisions in 118 stimulated cycles in 53 patients. In 90% of cases, the choice of FSH regimens and adjustments to dosages were identical. In the prospective study, the computer-generated decisions achieved a pregnancy rate per cycle of 18% (15 of 82 cycles), compared with 16% (13 of 82 cycles) achieved by clinicians.

CONCLUSION(S)

A computerized decision making system was as effective as skilled clinicians in achieving pregnancy by using ovarian stimulation with FSH.