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Imaging System

Value of Imaging-Related Information Technology

Description

Assessed the impact of Medical Imaging Informatics on health care costs and quality and developed a business case related to the acquisition and implementation of automated radiology systems; developed a financial model to demonstrate the impact of these systems on provider systems and health care quality.

Grant Number
R01 HS014891
Principal Investigator(s)
Gazelle, Scott

State and regional demonstration in health information technology: Indiana - evaluation report.

Citation
Overhage JM. State and regional demonstration in health information technology: Indiana - evaluation report. (Prepared by Indiana University under Contract No. 290-04-0015). AHRQ Publication No.15-0061-1-EF. Rockville, MD: Agency for Healthcare Research and Quality. July 2015.
Principal Investigator
Overhage, Marc
Project Name
State and Regional Demonstration in Health Information Technology: Indiana

Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram features.

Citation
Venkatesan R, Chandakkar P, Li B, et al. Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram features. Conf Proc IEEE Eng Med Biol Soc 2012;2012:1462-5. PMID: 23366177.
Principal Investigator
Li, Baoxin
Project Name
Exploring Clinically-relevant Image Retrieval for Diabetic Retinopathy Diagnosis

Inter-rater agreement and checklist validation for postoperative wound assessment using smartphone images in vascular surgery.

Citation
Wiseman JT, Fernandes-Taylor S, Gunter R, et al. Inter-rater agreement and checklist validation for postoperative wound assessment using smartphone images in vascular surgery. J Vasc Surg Venous Lymphat Disord 2016 Jul;4(3):320-8. PMID: 27318052.
Principal Investigator
Kent, K Craig
Project Name
Patient-Centered Postoperative Wound Surveillance Using Current Technology