Abstract: SA-PO1118
Slicer Dicer as a Potential Tool for Self-Assessment
Session Information
- CKD: Patient-Oriented Care and Case Reports
October 26, 2024 | Location: Exhibit Hall, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: CKD (Non-Dialysis)
- 2302 CKD (Non-Dialysis): Clinical, Outcomes, and Trials
Authors
- Hae, Richard, McMaster University, Hamilton, Ontario, Canada
- Madan, Sunchit, McMaster University, Hamilton, Ontario, Canada
- Acai, Anita, McMaster University, Hamilton, Ontario, Canada
- Wong, Steven, McMaster University, Hamilton, Ontario, Canada
- Gangji, Azim S., McMaster University, Hamilton, Ontario, Canada
Background
Self-assessment is a crucial competency for physicians, yet the evidence suggests that physicians have limited ability to do so and assessment of competence requires external feedback. Slicer Dicer is a self-service reporting tool on Epic that enables efficient patient data collection, providing a potential tool to self-assess practice patterns. Our study aims to explore whether Slicer Dicer can collect meaningful data for physicians to practise self-assessment. We piloted this question collecting data on prescribing patterns of sodium-glucose co-transporter 2 inhibitors (SGLT2i) in nephrology clinic patients with diabetes mellitus (DM) and chronic kidney disease, aligning with current care standards for this cohort.
Methods
Slicer Dicer was used to collect data from July 1, 2023 to December 31, 2023. Patients were captured using filters by provider, context, visit type, and medical history. “Slices” by medications were created to determine the number of patients on an SGLT2i.
Results
Slicer Dicer captured 1357 patients in the nephrology clinic amongst thirteen nephrologists with a diagnosis of DM who may benefit from an SGLT2i. Of these, 627 (46.2%) of these patients were found to be on an SGLT2i. The percentage of patients on an SGLT2i ranged from 32.9% to 61.4%.
Conclusion
We highlight the potential for Slicer Dicer as an innovative method to collect data using easily accessible EMR tools. Future directions will be aimed at how physicians can use this objective data to self-assess their practice by closer analysis of patients who are not meeting current care standards.
| Patients on SGLT2i | Total number of patients | Percentage (%) of patients on SGLT2i | |
| Nephrologist #1 | 53 | 161 | 32.9 |
| Nephrologist #2 | 94 | 225 | 41.8 |
| Nephrologist #3 | 55 | 108 | 50.9 |
| Nephrologist #4 | 87 | 205 | 42.4 |
| Nephrologist #5 | 33 | 63 | 52.4 |
| Nephrologist #6 | 62 | 101 | 61.4 |
| Nephrologist #7 | 64 | 151 | 42.4 |
| Nephrologist #8 | 37 | 91 | 40.7 |
| Nephrologist #9 | 77 | 168 | 45.8 |
| Nephrologist #10 | 58 | 105 | 55.2 |
| Nephrologist #11 | 88 | 166 | 53.0 |
| Nephrologist #12 | 54 | 115 | 47.0 |
| Nephrologist #13 | 20 | 41 | 48.8 |
| Total | 627 | 1357 | 46.2 |
Patients in nephrology clinic with DM from Jul 1-Dec 31, 2023 by nephrologist