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. 2021 Jan 25:2020:1012-1021.
eCollection 2020.

Preliminary Qualitative and Quantitative Evaluation of DESIREE, a Decision Support Platform for the Management of Primary Breast Cancer Patients

Affiliations

Preliminary Qualitative and Quantitative Evaluation of DESIREE, a Decision Support Platform for the Management of Primary Breast Cancer Patients

Sylvia Pelayo et al. AMIA Annu Symp Proc. .

Abstract

The DESIREE project has developed a platform offering several complementary therapeutic decision support systems (DSSs) to improve care quality for breast cancer patients. A first assessment of the system was carried out in close-to-real tumor boards (TBs). Fourteen TB sessions were organized corresponding to a total of 125 exploitable decisions previously made without the system and re-played with the system after a washout period in three pilot sites. Results show an overestimation of declared compliance with guidelines when not using the system as compared to measured compliance with the recommendations issued from the guideline-based DSS of DESIREE. After using the system, measured compliance rate of decisions with guidelines was significantly improved from 74.4% to 89.6%. Most of the changes in decisions when using the guideline-based DSS were associated with non-compliant decisions that became compliant. Qualitative analysis and interviews showed that despite maturity issues, clinicians found DESIREE DSSs innovative and promising.

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Figures

Figure 1.
Figure 1.
Display of guideline-based recommended care plans in the DESIREE user interface.
Figure 2.
Figure 2.
Display of experience-based recommended care plans in the DESIREE user interface.
Figure 3.
Figure 3.
Rainbow boxes visualizing the cases similar to the query case as issued by the CB-DSS.
Figure 4.
Figure 4.
User Experience Questionnaire scales (mean values and variances).

References

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