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ARVO Annual Meeting Abstract June 2021

Accuracy of electronic health records for systemic risk factors of ophthalmology patients

Aiyin Chen; Claudine Yee; Michelle Hribar

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1020. doi:

ARVO Annual Meeting Abstract June 2021

Can EHR Data Automatically Calculate Ophthalmic Quality Measures?

Michelle Hribar; Jimmy S Chen; Aiyin Chen; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1711. doi:

ARVO Annual Meeting Abstract June 2021

Electronic health record medication list accuracy in glaucoma patients

Joel Kaluzny; Wei-Chun Lin; Jimmy S Chen; Michael F Chiang; Michelle Hribar

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1609. doi:

ARVO Annual Meeting Abstract June 2021

Medication List Extraction Using Natural Language Processing for Glaucoma Patients

Wei-Chun Lin; Joel Kaluzny; Jimmy S Chen; Michael F Chiang; Michelle Hribar

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1001. doi:

ARVO Annual Meeting Abstract June 2020

Impacts of Problem-Based Charting on Documentation Time at an Academic Outpatient Ophthalmology Center

Eliesa Ing; Jimmy N/A Chen; Thomas S Hwang; Christina J Flaxel; Michael F. Chiang; Michelle Hribar

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1592. doi:

ARVO Annual Meeting Abstract June 2020

Electronic Health Records in Ophthalmology: Quantitative evaluation of progress note utility for clinical decision-making

Sarah Glass; Adam Rule; Michelle Hribar; Thomas S Hwang; Michael F. Chiang

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5113. doi:

ARVO Annual Meeting Abstract June 2020

Documentation Composition and Efficiency During Scribed and Non-Scribed Ophthalmology Visits

Michelle Hribar; Haley L Dusek; Isaac H Goldstein; Adam Rule; Michael F. Chiang

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1587. doi:

ARVO Annual Meeting Abstract June 2020

Predicting Late Patients in Pediatric Ophthalmology Outpatient Clinic Using Machine Learning

Wei-Chun Lin; Jimmy N/A Chen; Michelle Hribar; Michael F. Chiang

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4293. doi:

Special Issue February 2020

Applications of Artificial Intelligence to Electronic Health Record Data in Ophthalmology

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Wei-Chun Lin; Jimmy S. Chen; Michael F. Chiang; Michelle R. Hribar
TAGS: artificial intelligence, electronic medical records, ophthalmology
Trans. Vis. Sci. Tech.. 2020; 9(2):13. doi: https://doi.org/10.1167/tvst.9.2.13

ARVO Annual Meeting Abstract July 2019

Electronic health records in ophthalmology: impact of scribes on office visit length, documentation time, and note length

Haley Lane Dusek; Isaac Goldstein; Michelle Hribar; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5503. doi:

ARVO Annual Meeting Abstract July 2019

Impact of electronic health record implementation on clinical workflows for ophthalmology trainees

Helena Elizabeth Gali; Sally L. Baxter; Abigail E Huang; Marlene Millen; Robert El-Kareh; Eric Nudleman; Shira L Robbins; Christopher W.D. Heichel; Andrew S. Camp; Bobby S Korn; Jeffrey Ewing Lee; Don Osami Kikkawa; Christopher A. Longhurst; Michael F Chiang; Michelle Hribar; Lucila Ohno-Machado

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5504. doi:

ARVO Annual Meeting Abstract July 2019

Identifying Predictors of Patient no-shows in Pediatric Ophthalmology

Isaac Goldstein; Wei-Chun Lin; Leah G Reznick; Michael F Chiang; Michelle Hribar

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5444. doi:

ARVO Annual Meeting Abstract July 2019

Electronic health record documentation in ophthalmology: How many prior notes do clinicians review?

Michelle Hribar; Isaac Goldstein; Jimmy Chen; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5506. doi:

ARVO Annual Meeting Abstract July 2019

Data Analytics for Prediction of Patient-Provider Interaction Time in Pediatric Ophthalmology Clinics

Wei-Chun Lin; Isaac Goldstein; Michelle Hribar; Abigail E Huang; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5510. doi:

ARVO Annual Meeting Abstract July 2019

Electronic health record practices in ophthalmology: Are notes really accessed in follow-up visits after initial documentation?

Jimmy Chen; Michelle Hribar; Isaac Goldstein; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5511. doi:

ARVO Annual Meeting Abstract July 2019

Length and similarity of consecutive ophthalmology encounter notes in the electronic health record

Abigail E Huang; Michelle Hribar; Haley Lane Dusek; Isaac Goldstein; Bradley Henriksen; Wei-Chun Lin; Austin Igelman; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5497. doi:

ARVO Annual Meeting Abstract July 2019

Time-motion analysis of paper-based clinical workflows in a multi-specialty academic ophthalmology practice

Sally Liu Baxter; Helena Elizabeth Gali; Abigail E Huang; Marlene Millen; Robert El-Kareh; Eric Nudleman; Shira L Robbins; Christopher W.D. Heichel; Andrew S. Camp; Bobby S Korn; Jeffrey Ewing Lee; Don Osami Kikkawa; Christopher A. Longhurst; Michael F Chiang; Michelle Hribar; Lucila Ohno-Machado

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5505. doi:

ARVO Annual Meeting Abstract July 2018

Electronic health records in ophthalmology: source and method of documentation.

Bradley Henriksen; Isaac Goldstein; Michelle Hribar; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4155. doi:

ARVO Annual Meeting Abstract July 2018

Changes in Electronic Health Record use time over a decade of use

Isaac Goldstein; Michelle Hribar; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4156. doi:

ARVO Annual Meeting Abstract July 2018

Improving Clinic Wait Times with Scheduling Templates Developed from Computer-Based Simulation using Electronic Health Record Data

Michelle Hribar; Sarah Read-Brown; Isaac Goldstein; Leah Reznick; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):5248. doi:

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Accuracy of electronic health records for systemic risk factors of ophthalmology patients

Can EHR Data Automatically Calculate Ophthalmic Quality Measures?

Electronic health record medication list accuracy in glaucoma patients

Medication List Extraction Using Natural Language Processing for Glaucoma Patients

Impacts of Problem-Based Charting on Documentation Time at an Academic Outpatient Ophthalmology Center

Electronic Health Records in Ophthalmology: Quantitative evaluation of progress note utility for clinical decision-making

Documentation Composition and Efficiency During Scribed and Non-Scribed Ophthalmology Visits

Predicting Late Patients in Pediatric Ophthalmology Outpatient Clinic Using Machine Learning

Applications of Artificial Intelligence to Electronic Health Record Data in Ophthalmology

Electronic health records in ophthalmology: impact of scribes on office visit length, documentation time, and note length

Impact of electronic health record implementation on clinical workflows for ophthalmology trainees

Identifying Predictors of Patient no-shows in Pediatric Ophthalmology

Electronic health record documentation in ophthalmology: How many prior notes do clinicians review?

Data Analytics for Prediction of Patient-Provider Interaction Time in Pediatric Ophthalmology Clinics

Electronic health record practices in ophthalmology: Are notes really accessed in follow-up visits after initial documentation?

Length and similarity of consecutive ophthalmology encounter notes in the electronic health record

Time-motion analysis of paper-based clinical workflows in a multi-specialty academic ophthalmology practice

Electronic health records in ophthalmology: source and method of documentation.

Changes in Electronic Health Record use time over a decade of use

Improving Clinic Wait Times with Scheduling Templates Developed from Computer-Based Simulation using Electronic Health Record Data

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