Unit 2 Assignment 2 – Evaluating DSS
- Due Sunday by 11:59pm
- Points 40
- Submitting a text entry box, a website url, a media recording, or a file upload
Instructions
- Read the following two papers related to the evaluation of clinical DSSs:
- Berner, E.S., Webster, G.D., Shugerman, A.A., Jackson, J., Algina, J., Baker, A.L., Ball, E.V., Cobbs, G.G., Dennis, V.W., Frenkel, E.P., Hudson, L.D., Mancall, E.L., Rackley, C.E., & Taunton, O.D. (1994, June 23). Performance of four computer-based diagnostic decision support systems. New England Journal of Medicine, 330(25),1792-96. Retrieved from http://www.nejm.org/doi/full/10.1056/NEJM199406233…
- Berner, E.S., Jackson, J.R., & Algina, J. (1996). Relationships among the performance scores of four diagnostic decision support systems. Journal of the American Medical Informatics Association: JAMIA, 3(3), 208-15. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11630…
- Identify a minimum of four (4) key elements involved in conducting an evaluation of DSS solutions.
- Submit your report for grading. Your report should be in Microsoft Word format. Cite all sources in APA format.
- Reminder: You must upload your completed document using Browse My Computer. Then, hit the Submit button to successfully complete the assignment submission process. Do not copy and paste text into the text box.
Rubric
Unit 2 Assignment 2 – Evaluating DSS
| Criteria | Ratings | Pts | ||||||
|---|---|---|---|---|---|---|---|---|
This criterion is linked to a Learning OutcomeContent |
| 20.0 pts | ||||||
This criterion is linked to a Learning OutcomeAnalysisPRICE-P |
| 10.0 pts | ||||||
This criterion is linked to a Learning OutcomeWriting |
| 5.0 pts | ||||||
This criterion is linked to a Learning OutcomeAPAPRICE-I |
| 5.0 pts | ||||||
Total Points: 40.0 | ||||||||
Unit 2 Assignment 1 – DSS and Quality” aria-describedby=”msf0-previous-desc”>Previous
Expert Solution Preview
Introduction:
In the field of medicine, clinical decision support systems (DSSs) play an important role in aiding healthcare professionals in making accurate and timely diagnoses. Evaluating the performance of such systems is crucial to determine their effectiveness in improving patient outcomes. In this assignment, we will identify four key elements involved in conducting an evaluation of DSS solutions based on two papers related to this topic.
Answer:
1. Selection of appropriate evaluation metrics: To evaluate the performance of a DSS, it is important to select appropriate evaluation metrics based on the intended purpose of the system. Some commonly used metrics include diagnostic accuracy, sensitivity, specificity, positive and negative predictive values, and area under the receiver operating characteristic curve.
2. Identification of an appropriate reference standard: An appropriate reference standard should be selected to validate the results obtained from the DSS. The reference standard could be a gold standard test or an expert opinion if a gold standard test does not exist. The reference standard must be appropriate and acceptable for the targeted population.
3. Recruitment of an appropriate study population: The study population must be selected based on the purpose of the DSS. In addition, the sample size should be adequate and representative of the targeted population to ensure reliable and generalizable results.
4. Conduct of a prospective clinical study: A prospective clinical study should be conducted to evaluate the performance of the DSS. The study should be designed to compare the results obtained from the DSS with those obtained from the chosen reference standard. Adequate statistical analyses should be carried out to determine the accuracy and reliability of the DSS.
In conclusion, evaluating the performance of clinical decision support systems requires careful consideration of various factors, including appropriate evaluation metrics, identification of an appropriate reference standard, recruitment of an appropriate study population, and the conduct of a prospective clinical study. By addressing these key elements, a comprehensive evaluation of DSS solutions can be achieved.
