Data Studio

Li Ka Shing Learning Center (LKSC)
Rm 209

DATE: November 1, 2017
TIME: 1:30 - 3:00 pm
TITLE: IRIS: a registry of ophthalmology patients
INVESTIGATOR:

Suzann Pershing, Assistant Professor, Ophthalmology, PA VA

Heather Moss, Assistant Professor, Ophthalmology & Neurology, Stanford

Scott Lambert, Professor, Ophthalmology, Stanford

Albert Wu, Assistant Professor, Ophthalmology, Stanford

 

Summary:

Dr. Suzann Pershing is assembling a team to gain access to IRIS, which is a nationwide database containing 148 million patient visits by 37 million opthalmology patients--numbers that enable analysis of rare diseases and greatly boost power for any analysis. The IRIS Registry database is comprised of data from participating clinicians' EHRs, and data elements include: patient demographics, patient medical and ocular history, clinical examination findings (eg visual acuity), diagnoses, procedures, medications, and outcomes (additional information in the background reading). This is an uncommon amount of detail, especially if natural language processing enables analysis of free text fields. The detail might be enhanced further by probabilistic matching to other databases. In this Data Studio session, Dr. Pershing and 3 of her colleagues will present some possible scientific questions that might be addressed with IRIS, seeking biostatistics and bioinformatics faculty to join their team.

In addition to Dr. Pershing, the team currently includes the following faculty and topics:

Rob Chang, MD - glaucoma
Euna Koo, MD - pediatric ophthalmology
Yang Sun, MD, PhD - glaucoma
Prithvi Mruthyunjaya, MD, PhD - retina/oncology
Vinu Mahajan, MD - retina/regenerative medicine
Heather Moss, MD - neurophthalmology
Scott Lambert, MD - pediatric ophthalmology
Doug Fredrick, MD - pediatric ophthalmology
Albert Wu, MD, PhD - oculoplastics, ocular surface disease and regenerative medicine
Darius Moshfeghi, MD - retina (adult and pediatric)

Background readings:

Information provided by American Academy of Opthalmology about IRIS registry

List of 762 variables in Epic extract of IRIS