Background A telemedicine screening initiative was implemented by the Montefiore Health System to improve access to eyecare for a multi-ethnic, at-risk population of diabetic patients in a largely underserved urban community in the Bronx, New York. This retrospective, cross-sectional analysis evaluates the societal benefit and financial sustainability of this program by analyzing both cost and revenue generation based on current standard Medicare reimbursement rates. Methods Non-mydriatic fundus cameras were placed in collaboration with a vendor in eight outpatient primary care sites throughout the Montefiore Health Care System, and data was collected between June 2014 and July 2016. Fundus photos were electronically transmitted to a central reading center to be systematically reviewed and coded by faculty ophthalmologists, and patients were subsequently scheduled for ophthalmic evaluation based upon a predetermined treatment algorithm. A retrospective chart review of 2251 patients was performed utilizing our electronic medical record system (Epic Systems, Verona WI). Revenue was projected utilizing standard Medicare rates for our region while societal benefit was calculated using quality adjusted life years (QALY). Results Of the 2251 patient charts reviewed, 791 patients (35.1%) were seen by Montefiore ophthalmologists within a year of the original screening date. Estimated revenue generated by these visits was $276,800, with the majority from the treatment of retinal disease ($208,535), and the remainder from other ophthalmic conditions detected in the fundus photos ($68,265). There was a societal benefit of 14.66 quality adjusted life years (QALYs) with an estimated value of $35,471/QALY. Conclusion This telemedicine initiative was successful in identifying many patients with diabetic retinopathy and other ophthalmic conditions who may otherwise not have been formally evaluated. Our analysis demonstrates the program to generate a downstream revenue of nearly $280K with a cost benefit below <50% of the threshold of $100,000/QALY, and therefore cost-effective in marginalized communities.
Ordinary Differential Equations (ODE) are used to model a wide range of physical processes. An ODE is an equation containing a function of one independent variable and its ordinary derivatives. This paper presents the development and application of a practical teaching module introducing java programming techniques to electronics, computer, and bioengineering students before they encounter digital signal processing and its applications in junior and senior level courses. This paper will focus primarily on how to solve ODEs using Java and Matlab programming tools. There are two basic types of boundary condition categories for ODEsinitial value problems and two-point boundary value problems. Initial value problems are simpler to solve because you only have to integrate the ODE one time. The solution of a two-point boundary value problem usually involves iterating between the values at the beginning and end of the range of integration. Runge-Kutta schemes are among the most commonly used techniques to solve initial-value problem ODEs. Matlab also presents several tools for modeling linear systems. These tools can be used to solve differential equations arising in such models, and to visualize the input-output relations. This paper attempts to describe how to use Java programming tool to solve initial value problems of ordinary differential equations (ODEs) using the Runge-Kutta scheme. It will also discuss how to represent initial value problems and demonstrate how to apply Matlab's ODE solvers to such problems. It will also explain how to select a solver and how to specify solver options for efficient, customized execution. This paper provides an introduction to the Ordinary Differential Equations(ODEs). After a quick overview of selected numerical methods for solving differential equations using Matlab, we will briefly give an account of Euler and modified Euler methods for solving first order differential equations. This will be followed by numerical method for systems specially Runge-Kutta schemes and applications of second order differential equations in mechanical vibrations and electric circuits by leveraging the power of Java and Matlab. This paper will explain how this learning and teaching module is instrumental for progressive learning of students; the paper will also demonstrate how the numerical and integral algorithms are derived and computed through leverage of the java data structures. As a result, there will be a discussion concerning the comparison of Java and Matlab programming as well as students' feedback. The result of this new approach is expected to strengthen the capacity and quality of our undergraduate degree programs and enhance overall student learning and satisfaction.
Twenty five years industry and academe experience, in public, for profit, and non-profit sectors. Background in engineering, program and project management, managed manufacturing and industrial engineering departments and teams in the aerospace, electronics and telecom industries. Educator, with experience managing departments, programs, research and teaching undergraduate and graduate, business administration and general education courses. Authored, published and presented research papers in conferences, peer reviewed journals, with multidisciplinary interests in technology, business, quality systems, organizational leadership and education.c American Society for Engineering Education, 2016 AN ELECTRICAL AND COMPUTER STARTUP KIT FOR FUNDAMENTALS OF ENGINEERING (FE) EXAM AbstractMany engineering technology students find the electrical and computer engineering sections of the general Fundamentals of Engineering (FE) exam to be the most challenging. This paper attempts to present the development and application of a practical teaching module to assist students with the first step of the process that leads to the P.E. license. This module is aimed to furnish the extra review and practice which technology students need to meet this challenge through a concise review of the electrical and computer topics covered on the FE exams. This paper will explain how this in-house learning and teaching module was instrumental in progressive learning for students by presenting them the key concepts and general theory that encompass the demanding subject areas. These students first took a diagnostic pre-test; after, they underwent rigorous prep that was followed by a FE post-practice exam. This module helped students reinforce the fundamentals and helped them score higher on this examination. Finally, the results of the survey analyzing this learning methodology will also be discussed.This will go a long way in motivating technology students to take this important, professional exam, eliminating their fear, improving their understanding, and reinforcing the best practices for life-long learning
His research interests include modeling and simulations, algorithmic computing, analog & digital signal processing, and statistical analysis and inference.
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