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Updated: Jun 26, 2026
Establishment of a Simple and Effective Rat Model for Intraoperative Parathyroid Gland Imaging
Published on: August 17, 2022
Non-interruptive decision support to increase appropriate screening for primary hyperparathyroidism
Jesse E Passman1, Jasmine Hwang1, Mika Epps2
1Department of Surgery, University of Pennsylvania Health System, Philadelphia, PA, USA; Leonard Davis Institute, University of Pennsylvania, Philadelphia, PA, USA.
Objective:
Primary hyperparathyroidism (PHPT) affects 1% of adults, but fewer than one-third of screen-eligible patients are tested. We developed and evaluated two new non-interruptive, clinician-facing alerts to increase appropriate PHPT screening.
Materials And Methods:
We designed process changes to facilitate guideline-informed patient identification via electronic phenotyping, laboratory test ordering, result interpretation, and follow-up. The computable phenotype was retrospectively validated. Clinician-facing alerts were built atop existing workflows for health maintenance (HM) and pended orders (PO) and evaluated in separate primary care clinics.
Results:
Screening laboratory orders were more frequent in PO (81%; n = 30/37; p < 0.001) and HM (57%; n = 51/90; p < 0.001) than in control (19%; n = 373/1945) clinics. Increased screening appeared to yield higher detection of likely PHPT in PO (43%; 16/37; p < 0.001) and HM (8%; 7/90; p = 0.01) than in control (2%; 48/1945) clinics.
Conclusion:
Non-interruptive alerts demonstrate potential to substantially increase PHPT screening among appropriate patients.
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