The candidate has a background in engineering, medicine, and ophthalmology, and plans to extend his career into the clinical applications of communications and information technology. This proposal will support the candidate's career development through a two-phase training program. In the first phase, intensive didactic instruction through the Columbia University Department of Medical Informatics will provide background in medical informatics, computer science, biostatistics, and clinical research. A mentor who is an international authority in clinical medical informatics will supervise this work. He will provide guidance during the entire award period. The second phase will involve the design, implementation, and evaluation of a telemedical network for the remote diagnosis of Retinopathy of Prematurity (ROP) in low birth weight infants. Studies will be conducted to test an underlying hypothesis: that telemedical detection of ROP will prove to be safe, accurate, and efficient, and will provide important advantages over existing diagnostic methods with respect to speed, outcome, cost, and satisfaction. The development of a computerized infrastructure for health care has the potential to dramatically improve the delivery of medical care and research. Ophthalmology is particularly well suited for this area of investigation because it is technology-driven and visually oriented. This project will be supervised by an ophthalmology Co-Mentor who is an international authority on ROP, and a medical informatics Co-Mentor who has special expertise in telemedicine. Columbia University has a strong existing framework in medical information systems, telemedicine, and public health, which will be leveraged to complete this training and research program successfully.
| Klufas, Michael A; Patel, Samir N; Ryan, Michael C et al. (2015) Influence of Fluorescein Angiography on the Diagnosis and Management of Retinopathy of Prematurity. Ophthalmology 122:1601-8 |
| Paul Chan, R V; Williams, Steven L; Yonekawa, Yoshihiro et al. (2010) Accuracy of retinopathy of prematurity diagnosis by retinal fellows. Retina 30:958-65 |
| Chiang, Michael F; Thyparampil, Preeti J; Rabinowitz, Daniel (2010) Interexpert agreement in the identification of macular location in infants at risk for retinopathy of prematurity. Arch Ophthalmol 128:1153-9 |
| Thyparampil, Preeti J; Park, Yangseon; Martinez-Perez, M E et al. (2010) Plus disease in retinopathy of prematurity: quantitative analysis of vascular change. Am J Ophthalmol 150:468-475.e2 |
| Lee, Joo-Yeon; Du, Yunling E; Coki, Osode et al. (2010) Parental perceptions toward digital imaging and telemedicine for retinopathy of prematurity management. Graefes Arch Clin Exp Ophthalmol 248:141-7 |
| Gelman, Susan K; Gelman, Rony; Callahan, Alison B et al. (2010) Plus disease in retinopathy of prematurity: quantitative analysis of standard published photograph. Arch Ophthalmol 128:1217-20 |
| Williams, Steven L; Wang, Lu; Kane, Steven A et al. (2010) Telemedical diagnosis of retinopathy of prematurity: accuracy of expert versus non-expert graders. Br J Ophthalmol 94:351-6 |
| Richter, Grace M; Sun, Grace; Lee, Thomas C et al. (2009) Speed of telemedicine vs ophthalmoscopy for retinopathy of prematurity diagnosis. Am J Ophthalmol 148:136-42.e2 |
| Chiang, Michael F; Gelman, Rony; Martinez-Perez, M Elena et al. (2009) Image analysis for retinopathy of prematurity diagnosis. J AAPOS 13:438-45 |
| Richter, Grace M; Williams, Steven L; Starren, Justin et al. (2009) Telemedicine for retinopathy of prematurity diagnosis: evaluation and challenges. Surv Ophthalmol 54:671-85 |
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