Assess the risk of implementing your cdss in the clinical

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Reference no: EM132372064

CDSS Final Project

Section 1 - Choose a well-known and commonly used CDSS in healthcare (brief definition of the Clinical decision chosen)

Section 2 - Overview / Introduction

Define the problem has been solved by the chosen CDSS and search the current literature to write your background on the chosen CDSS and the health problem it is solving.

Section 3 - The Model

Describe in detail the underlying model and framework (structure) for the chosen CDSS: knowledge based (if-then rules or probabilities), supervised or unsupervised learning CDSS: if supervised which kind of classifier the CDSS following, if unsupervised is it clustering or not (in detail).

Draw a sketch of the clinical workflow after your CDSS integrated to the clinical workflow.

Classify the chosen CDSS application's modality/ies (alarm, test ordering, medication ordering, procedure ordering, calculator, diagnosis aiding, treatment guiding, ....etc).

List out performance measures and outcomes that you expect your CDSS application to improve.

Section 4-Risk Assessment Tool:

After the IT professional implemented a CDSS to the clinical setting within a healthcare facility, there are many failure modes could be expected or assumed by the IT implementers.

Using the spread sheet (HFMEA hazard analysis sheet), please assess the risk of implementing your CDSS in the clinical setting and recommend solutions for these failure modes.

Section 5- Evaluation

Describe the methods that can be used to evaluate your CDSS application (what is/are best ways of evaluation strategies to assess the system? And why?)

Based on your expected evaluation results, redraw your workflow Diagram and describe your expected effective workflow.

Section 6 - Discussion and conclusion

This can be a catchall section for all other aspects of your project like project assumptions, limitations and recommended future work to solve the targeted problem.

Attachment:- Sample Project.rar

Reference no: EM132372064

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