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Using Eye Trackers for Usability Evaluation of Health Information Technology: A Systematic Literature Review

Onur Asan, Yushi Yang

JMIR Hum Factors 2015;2(1):e5

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Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review

Avishek Choudhury, Onur Asan

JMIR Med Inform 2020;8(7):e18599

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Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians

Onur Asan, Alparslan Emrah Bayrak, Avishek Choudhury

J Med Internet Res 2020;22(6):e15154

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Humanizing the Chart: Becoming More Responsive to Patient Needs Through Implementation of PatientWisdom

Bradley Crotty, Jeana Holt, Rachel Cusatis, Onur Asan, Joni Williams, Kathryn Flynn, Jennifer Moore, Gregory Makoul

iproc 2018;4(2):e11793

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Usage Pattern Differences and Similarities of Mobile Electronic Medical Records Among Health Care Providers

After analyzing the mEMR usage logs, the usage status of the system and the peak time usage between user occupations were described.Study Subjects and the mEMRsThis study was performed at the Asan Medical Center (AMC), the largest medical center in South Korea

Yura Lee, Yu Rang Park, Junetae Kim, Jeong Hoon Kim, Woo Sung Kim, Jae-Ho Lee

JMIR Mhealth Uhealth 2017;5(12):e178

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Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey

Onur Asan, Farion Cooper II, Sneha Nagavally, Rebekah J Walker, Joni S Williams, Mukoso N Ozieh, Leonard E Egede

J Med Internet Res 2018;20(10):e277

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Assessment of the Robustness of Convolutional Neural Networks in Labeling Noise by Using Chest X-Ray Images From Multiple Centers

The aim of this study is threefold: (1) to train computed tomography (CT)-confirmed CXR datasets from Asan Medical Center (AMC) and Seoul National University Bundang Hospital (SNUBH), which can be considered clean with an intentionally given label noise of

Ryoungwoo Jang, Namkug Kim, Miso Jang, Kyung Hwa Lee, Sang Min Lee, Kyung Hee Lee, Han Na Noh, Joon Beom Seo

JMIR Med Inform 2020;8(8):e18089

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A Cardiopulmonary Monitoring System for Patient Transport Within Hospitals Using Mobile Internet of Things Technology: Observational Validation Study

We developed a risk detection algorithm to analyze the collected data and notified the health care provider when necessary.MethodsStudy DesignWe performed a single-center study at Asan Medical Center in South Korea.

Jang Ho Lee, Yu Rang Park, Solbi Kweon, Seulgi Kim, Wonjun Ji, Chang-Min Choi

JMIR Mhealth Uhealth 2018;6(11):e12048

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The Impact of Previsit Contextual Data Collection on Patient-Provider Communication and Patient Activation: Study Protocol for a Randomized Controlled Trial

Jeana M Holt, Rachel Cusatis, Aaron Winn, Onur Asan, Charles Spanbauer, Joni S Williams, Kathryn E Flynn, Melek Somai, Purushottam Laud, Bradley H Crotty

JMIR Res Protoc 2020;9(9):e20309

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Usability of the Turkish Translation of the Dutch Talking Touch Screen Questionnaire for Physical Therapy Patients With a Turkish Background: Qualitative Study

Out of 10 participants, 5 made positive remarks on the way the user interface was designed and on the short completion time.These visual images are appealing and make it “come to life”.Imran, age 52 yearsExperienced Onur (age 35 years) was positive about the

Marlies Welbie, Harriet Wittink, Sahin Bozkurt, Tugba Coban, Walter LJM Devillé

JMIR Form Res 2020;4(2):e14189

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