Time filter

Source Type

Patent
Intelligent Imaging Systems | Date: 2016-08-29

A database of high risk locations is formed and high risk causal factors for the high risk locations determined. Driver behavior is monitored at the sites in the database using data collection devices such as electronic logging devices or mobile phones to see if the drivers exhibit the same specific behaviors that are considered contributing factors to specific accident types at risk of occurrence at those sites. Warnings are provided to drivers approaching the specific sites to prompt behavioral changes which may further be monitored by the data collection devices.


News Article | October 31, 2016
Site: www.marketwired.com

PENSACOLA, FL--(Marketwired - October 31, 2016) - Intelligent Retinal Imaging Systems' (IRIS) diabetic retinopathy diagnostic solution has now examined more than 100,000 patients with diabetes, diagnosing nearly 10 percent with immediate, sight-threatening disease and 47 percent with some form of pathology, company officials announced today. Diabetic retinopathy is the leading cause of preventable blindness in the United States in people 20 to 65 years of age. The standard approach to diabetic retinal exams (DREs) focuses on referring patients with diabetes to an eye specialist, leaving 50 percent of them unexamined each year. At current rates, one in three Americans with diabetes will have diabetic retinopathy by 2050. Early detection can reduce the risk of severe vision loss by 90 percent, and can significantly reduce long-term healthcare costs. IRIS' FDA-cleared, telemedicine service improves quality of care by providing access to digital retinal exams in primary care offices which enables physicians to close a care gap for patients with diabetes and be in compliance with a critical Healthcare Effectiveness Data and Information Set (HEDIS) requirement. "We are proud of the partnerships we've established with primary care physicians to reach this milestone, but we're just getting started. Thirty million Americans have diabetes, and half of them go unexamined. If IRIS can provide retinal exams quickly and inexpensively to more patients while making the primary physician's job easier, everyone wins," said IRIS CEO Jason Crawford. "Over the last two years, we have seen an astonishing demand for the IRIS solution. Our Company's growth has tripled and I see that trend continuing in 2017. As a result, we will be doubling our workforce, which will enable us to meet the demand for our technology and provide access for more patients to be examined." Many IRIS clients, which include major health systems and physician group practices, have successfully integrated the IRIS diabetic retinopathy diagnostic solution with their electronic health records. The integrations increase data availability and accuracy, while ensuring diagnoses are appropriately recorded, referred and billed. IRIS not only ensures compliance with HEDIS but reduces the burden associated with reporting, while improving efficiency and enabling providers to focus on patient care. Intelligent Retinal Imaging Systems (IRIS) is a Pensacola, Fla.-based company founded in 2011 by nationally recognized retina surgeon Dr. Sunil Gupta, with a vision to end preventable blindness through the development and deployment of retinal diagnostic services in the primary care setting. The company's IRIS solution is an FDA-cleared, telemedicine service that has improved quality, expanded access and reduced costs for diabetic retinopathy exams across the U.S. A team of physicians, technicians and practice management experts at IRIS partner with forward-thinking providers and payers to enhance quality patient outcomes and the overall healthcare system. IRIS is the recipient of the 2016 New Product Innovation Award in Diabetic Retinopathy in North America by Frost & Sullivan. For additional information, visit www.retinalscreenings.com.


News Article | February 21, 2017
Site: www.marketwired.com

PENSACOLA, FL--(Marketwired - February 21, 2017) - Intelligent Retinal Imaging Systems (IRIS) and CoxHealth today announced the two organizations have been named recipients of Microsoft Corp.'s 2017 Health Innovation Awards. The awards, which were announced at the 2017 HIMSS Annual Conference and Exhibition in Orlando, Fla., recognize health organizations and their technology solution partners for using Microsoft devices and services in innovative ways that help engage patients, empower care teams, optimize clinical and operational effectiveness, and transform the care continuum. The 2017 winners are transforming the industry by creating breakthrough solutions that empower health and life sciences organizations, while meeting global, local and industry-specific compliance and security standards. CoxHealth, a locally owned not-for-profit health system, serves a population of 24,000 patients with diabetes in Missouri. While diabetes is the leading cause of adult-onset blindness, 95 percent of vision loss is preventable due to modern therapies such as the diabetic retinal exam (DRE). In partnership with IRIS and its retinal telemedicine platform, CoxHealth was able to bring the DRE to its patients with diabetes at the primary point of care. This closed a sizeable care gap that was having a negative impact on the organization's Healthcare Effectiveness Data and Information Set (HEDIS) quality scores. "IRIS' diabetic retinopathy diagnostic solution allows us to offer retinal testing for our entire diabetic population in a simple and easily accessible way," said Dr. Mark Costley, CoxHealth's medical director. "By placing the exam at the primary point of care and connecting the data with our EMR, in five months we have examined more than 2,600 patients. We have detected 800 potential sight-threatening conditions, including 347 that had a form of diabetic retinopathy with the potential of causing near term blindness. CoxHealth is closing the care gap among our patients with diabetes while significantly supporting our ability to improve our compliance rates." Before implementing IRIS, CoxHealth's compliance rates for the DRE was just 32 percent, but now their HEDIS compliance rates are steadily increasing with one key contract near 70 percent. The IRIS platform simultaneously improves quality, increases access and reduces cost of care for healthcare organizations like CoxHealth through comprehensive end-to-end system integration that begins with the identification of patients in need of an exam, optimizes imaging of the retina, provides a diagnosis, and ends with referral to an ophthalmologist and billing. "By bringing the DRE to the point of primary care and integrating with the EMR, IRIS enables health systems to better care for and treat their diabetic patient populations, helping to put an end to preventable, permanent blindness caused by diabetic retinopathy," said IRIS CEO, Jason Crawford. "We work closely with each of our customers, creating workflows, documenting processes and implementing best practices developed from our experience of working with more than 125 organizations. Our goal is to ensure patients with diabetes are properly diagnosed." "The health industry is undergoing a seismic shift in which intelligent technologies are helping organizations, communities and individuals improve care by helping them better understand and share information," said Laura Wallace, vice president, Health & Life Sciences, Microsoft. "This year's Microsoft Health Innovation Award recipients are advancing the goals of improved patient engagement and care coordination through their pioneering use of Microsoft devices, platforms and cloud services." Nominations were submitted by health providers, payers, pharmaceutical and life science organizations, and public and private health institutions across the world for applying Microsoft technology to create transformative and highly-effective innovations. An esteemed panel of industry experts selected this year's winners based on how their innovation represents a forward-thinking development or implementation of a solution that is delivering groundbreaking results and producing better health outcomes for more people. Recipients will be highlighted on the Microsoft website at http://www.microsoft.com/healthinnovationawards and on the Microsoft in Health blog at https://enterprise.microsoft.com/en-us/industries/health/?post_type=articles. About CoxHealth A community-based, not-for-profit health system, CoxHealth is headquartered in Springfield, Mo. It has been recognized with 28 number one ratings from CareChex, a division of Comparion Medical Analytics, and is nationally accredited by DNV GL - Healthcare. Established in 1906, the organization serves more than 900,000 people in a 25-county service area in southwest Missouri and northwest Arkansas, offering a comprehensive array of primary and specialty care including five hospitals and more than 80 clinics. The health system includes Cox Medical Center South, Cox Medical Center Branson, Cox North Hospital, Meyer Orthopedic and Rehabilitation Hospital, Cox Monett Hospital, Oxford HealthCare, Home Parenteral Services (home infusion therapy), CoxHealth Foundation, Cox College, Cox HealthPlans and more. About IRIS: About Intelligent Retinal Imaging Systems Intelligent Retinal Imaging Systems (IRIS) is a Pensacola, FL-based company founded in 2011 by nationally recognized retina surgeon Dr. Sunil Gupta, with a vision to end preventable blindness through the development and deployment of retinal screening services in the primary care setting. The company's IRIS solution is an FDA II-cleared, cloud-based service that has improved quality, expanded access and reduced costs for diabetic retinopathy exams. A team of physicians, technicians, practice management, and client success experts at IRIS have partnered with forward-thinking providers and payers to enhance quality patient outcomes. IRIS is the recipient of the 2016 New Product Innovation Award in Diabetic Retinopathy in North America by Frost & Sullivan. For additional information, visit www.retinalscreenings.com. Product or service names mentioned herein may be the trademarks of their respective owners.


Vin Toh K.K.,Intelligent Imaging Systems | Mat Isa N.A.,Intelligent Imaging Systems
IEEE Transactions on Consumer Electronics | Year: 2011

This paper presents an integrated deblurring and sharpness enhancement algorithm for restoration of images corrupted by mild blur and improvement of image details. The proposed algorithm is capable of capturing local image structure by adaptively clustering pixels geometric and radiometric features based on their local augmented variational series. By selectively utilizing the segmented features, deblurring and/or sharpening can be effectively performed without either producing noise magnification or over-sharpening artifacts. Experimental results from both simulated and real image data, which are comparable to recently published results, show that the proposed algorithm is superior over the state-of-the-arts. In addition, the proposed method is fully automated with no manual set-up and it enjoys the luxury of fast processing time. These make the proposed algorithm practically useful for image applications in consumer electronic products. © 2006 IEEE.


Patent
Intelligent Imaging Systems | Date: 2012-03-07

A location enabled mobile wireless device and central system cooperate to provide traffic control such as vehicle inspection site services and toll station services. Traffic control information such as vehicle inspection site information and toll station information is independently processed by a third party provider and sent to the central system. The mobile wireless device monitors its location and sends location and vehicle related information to the central system. The central system compares data from the third party provider and the mobile wireless device. The mobile wireless device or the central system take an action based on the comparison, such as toll payment or vehicle inspection site operations.


Patent
Intelligent Imaging Systems | Date: 2012-09-27

Magnetometers under the road surface detect variations in the vertical and longitudinal horizontal components of the magnetic field over time in response to passing vehicles. A trajectory of these components in the phase space of these field components is regularized to obtain a magnetic signature. Magnetic signatures are compared using cross-correlation over arc length to identify vehicles. Inductance sensors can be used to detect vehicles and help determine the beginning and end of magnetic signatures.


Patent
Intelligent Imaging Systems | Date: 2014-08-20

A location enabled mobile wireless device and central system cooperate to provide traffic control such as vehicle inspection site services and toll station services. Traffic control information such as vehicle inspection site information and toll station information is independently processed by a third party provider and sent to the central system. The mobile wireless device monitors its location and sends location and vehicle related information to the central system. The central system compares data from the third party provider and the mobile wireless device. The mobile wireless device or the central system take an action based on the comparison, such as toll payment or vehicle inspection site operations.


Trademark
Intelligent Imaging Systems | Date: 2015-06-01

Retinal screening systems for use by primary care clinicians and staff in order to capture retinal images for upload and analysis for the diagnosis of retinopathy, comprised of cameras, computers, and tables, excluding devices used in ophthalmic surgery. Retinal screening system installation services for primary care clinicians and staff in order to capture retinal images for upload and analysis for the diagnosis of retinopathy, excluding devices used in ophthalmic surgery. Providing non-downloadable software in the nature of a web-based platform for retinal image screening and interpretation for the diagnosis of retinopathy. Retinal image interpretation services for the diagnosis of retinopathy performed on images taken with retinal screening systems, excluding information regarding implants or ophthalmic surgery.


Trademark
Intelligent Imaging Systems | Date: 2015-06-01

Retinal screening systems for use by primary care clinicians and staff in order to capture retinal images for upload and analysis for the diagnosis of retinopathy, comprised of cameras, computers, and tables, excluding devices used in ophthalmic surgery. Retinal screening system installation services for primary care clinicians and staff in order to capture retinal images for upload and analysis for the diagnosis of retinopathy, excluding devices used in ophthalmic surgery. Providing non-downloadable software in the nature of a web-based platform for retinal image screening and interpretation for the diagnosis of retinopathy. Retinal image interpretation services for the diagnosis of retinopathy performed on images taken with retinal screening systems, excluding information regarding implants or ophthalmic surgery.


Loading Intelligent Imaging Systems collaborators
Loading Intelligent Imaging Systems collaborators