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1 General aspects (0)   1.1 Epidemiology (8)   1.2 Population genetics (0)   1.3 Pathogenesis (1)   1.4 Quality of life (13)   1.5 Glaucomas as cause of blindness (4)   1.6 Prevention and screening (9) 2 Anatomical structures in glaucoma (0)   2.1 Conjunctiva (10)   2.2 Cornea (19)   2.3 Sclera (7)   2.4 Anterior chamber angle (7)   2.5 Meshwork (0)     2.5.1 Trabecular meshwork (15)     2.5.2 Schlemms canal (5)     2.5.3 Scleral outlet channels (0)   2.6 Aqueous humor dynamics (0)     2.6.1 Production (0)     2.6.2 Outflow (0)       2.6.2.1 Trabecular meshwork (6)       2.6.2.2 Uveoscleral (0)     2.6.3 Compostion (9)   2.7 Episcleral veins and venous pressure (0)   2.8 Iris (5)   2.9 Ciliary body (2)   2.10 Lens (0)   2.11 Vitreous body (1)   2.12 Choroid, peripapillary choroid, peripapillary atrophy (6)   2.13 Retina and retinal nerve fibre layer (38)   2.14 Optic disc (36)   2.15 Optic nerve (4)   2.16 Chiasma and retrochiasmal central nervous system (14)   2.17 Stem cells (4)   2.20 Other (0) 3 Laboratory methods (0)   3.1 Microscopy (2)   3.2 Electron microscopy (0)   3.3 Immunohistochemistry (1)   3.4 Molecular genetics (0)     3.4.1 Linkage studies (2)     3.4.2 Gene studies (20)   3.5 Molecular biology incl. 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Filtering surgery (0)     12.8.1 Without tube implant (23)     12.8.2 With tube implant or other drainage devices (84)     12.8.3 Non-perforating (10)     12.8.4 Using laser (0)     12.8.5 Other (10)     12.8.10 Woundhealing antifibrosis (12)     12.8.11 Complications, endophthalmitis (26)   12.9 Trabeculotomy, goniotomy (27)   12.10 Cyclodestruction (11)   12.11 Cyclodialysis (1)   12.12 Cataract extraction (1)     12.12.1 Intracapsular (0)     12.12.2 Extracapsular (0)     12.12.3 Phacoemulsification (8)   12.14 Combined cataract extraction and glaucoma surgery (0)     12.14.1 Intracapsular (0)     12.14.2 Extracapsular (1)     12.14.3 Phacoemulsification (31)   12.15 Capsulotomy (0)   12.16 Vitrectomy (4)   12.17 Anesthesia (2)   12.20 Other (3) 13 Therapeutic prognosis and outcome (0)   13.1 Prognostic factors (10)   13.2 Outcome (0)     13.2.1 IOP (1)     13.2.2 Visual field (1)       13.2.2.1 Progression (1)       13.2.2.2 Improvement (0)     13.2.3 Other (0) 14 Costing studies; pharmacoeconomics (4) 15 Miscellaneous (36)

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Abstract #90850 Published in IGR 21-3

Special Commentary: Using Clinical Decision Support Systems to Bring Predictive Models to the Glaucoma Clinic

Stagg BC; Stein JD; Medeiros FA; Wirostko B; Crandall A; Hartnett ME; Cummins M; Morris A; Hess R; Hess R; Kawamoto K; Kawamoto K
Ophthalmology. Glaucoma 2021; 4: 5-9

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Advances in the field of predictive modeling using artificial intelligence and machine learning have the potential to improve clinical care and outcomes, but only if the results of these models are presented appropriately to clinicians at the time they make decisions for individual patients. Clinical decision support (CDS) systems could be used to accomplish this. Modern CDS systems are computer-based tools designed to improve clinician decision making for individual patients. However, not all CDS systems are effective. Four principles that have been shown in other medical fields to be important for successful CDS system implementation are (1) integration into clinician workflow, (2) user-centered interface design, (3) evaluation of CDS systems and rules, and (4) standards-based development so the tools can be deployed across health systems.

John Moran Eye Center, Department of Ophthalmology and Visual Sciences, University of Utah, Salt Lake City, Utah; Department of Population Health Sciences, University of Utah, Salt Lake City, Utah. Electronic address: brian.stagg@hsc.utah.edu.

Full article

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Classification:

6.30 Other (Part of: 6 Clinical examination methods)
15 Miscellaneous

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