The University of Scranton to Host Conference on Disability The 23rd Annual U.S. Conference on Disability focuses on access, advocacy and employment in the age of artificial intelligence. Danté Q. Allen, the commissioner of the U.S. Rehabilitation Services Administration in the Office of Special Education and Rehabilitative Services, will be the featured speaker at the 23rd Annual U.S. Conference on Disability at The University of Scranton on Oct. 9. The day-long conference will feature nationally respected speakers addressing access, advocacy and employment in the age of artificial intelligence. The 23rd Annual U.S. Conference on Disability at The University of Scranton, “The Rehabilitation Act: Learning From Our Past, Knowing Our Present, and Building Our Future,” will feature nationally respected speakers addressing access, advocacy and employment in the age of artificial intelligence, including Danté Q. Allen, the commissioner of the U.S. Rehabilitation Services Administration in the Office of Special Education and Rehabilitative Services. Registration is required to attend the conference, which begins at 8:30 a.m. on Oct. 9 and is offered free of charge. Also speaking at the conference will be Alison Levy, director of the Office of Technical and Information Services at the U.S. Access Board; Kathy West-Evans, director of business relations for the National Employment Team of the Council of State Administrators of Vocational Rehabilitation; John Evans, recently retired Vocational Rehabilitation program administrator for employee relations for the State of Washington Department Social Health Services Division of Vocational Rehabilitation; Gary Karp disability awareness speaker, trainer, consultant and author of “Life On Wheels: For the Active Wheelchair User,” among other notable speakers. The annual conference seeks to educate and enhance the lives of individuals with disabilities and their families. The theme for this year’s conference is “The Rehabilitation Act: Learning From Our Past, Knowing Our Present, and Building Our Future.” Commissioner Allen will speak at the opening session of the conference, which begins at 8:30 a.m. in the McIlhenny Ballroom of the DeNaples Center on campus. Allen oversees the Rehabilitation Services Administration that provides leadership and resources to assist state and other agencies in providing vocational rehabilitation and other services to individuals with disabilities to maximize their employment, independence and integration into the community and the competitive labor market. Born with Spina bifida, Allen is a fulltime wheelchair user, and a staunch proponent of disability rights and equity. He has been a champion in advocating for the awareness of the reduction of healthcare and financial disparities especially among people of color and people with disabilities. He serves as a board member for Resources for Independent Living, Sacramento, a nonprofit that supports the needs of people with disabilities to live as independently as possible. Levy will speak at 10:15 a.m. As a person with disabilities, and with over 30 years of experience in the disability profession, Levy has worked toward improving workplace attitudes and accessibility, and in providing equal opportunity in the post-secondary, public and private sectors. Created in 1973 to ensure access to federally funded facilities, the Access Board, where she serves, is an independent federal agency that promotes equality for people with disabilities through leadership in accessible design and the development of accessibility guidelines and standards. The agency also provides technical assistance and training on requirements and on accessible design. Kathy West-Evans and John Evans will speak together at the session beginning at 1:30 p.m. West-Evans plays a leadership role with the National Employment Team, a cross-state team of vocational rehabilitation business specialists working through a dual customer approach to develop strategies with business (private, public, and non-profit) to employ and retain the talents of individuals with disabilities across the company or organization. She is a past chair of the Veterans Advisory Council on Rehabilitation and a former commissioner on the Commission on Rehabilitation Counselor Certification. She is a frequent speaker and has co-authored articles focused on working with business to employ the talents of individuals with disabilities. Born with profound congenital deafness, Evans spent 31 years of public service in the fields of vocational rehabilitation; labor relations; human resource development; disability integration; and the employment of people with disabilities in the workplace. The closing session, which begins at 3 p.m., will feature Karp, whose spinal cord was injured from falling from a tree when he was 18 years old. The author of four books, Karp’s early career was in computer graphics and he later established an ergonomics consultancy. In 2007, he was inducted into the Spinal Cord Injury Hall of Fame as a disability educator. He was sponsored by the Christopher and Dana Reeve Paralysis Resource Center to speak at rehabilitation centers and to college students across the United States. Most recently, Karp has been an emergency manager and trainer, and currently serves as a reservist for the Federal Emergency Management Agency, through which he was deployed to multiple disasters to help people with disabilities access recovery resources and assistance. The Conference on Disability will open at 8:30 a.m. with remarks from University of Scranton President Rev. Joseph G. Marina, S.J.; Victoria Castellanos, Ph.D.,Dean of the University’s Leahy College of Health Sciences; and Edward R. and Patricia Leahy, honorary conference co-chairs, followed by remarks by Allen. Kathy Stefanelli, Ph.D., assistant professor of counseling and human services at The University of Scranton, will also speak at the conference, during the 11:30 a.m. session, and Renée Hakim, Ph.D., professor chair and program director of physical therapy at the University, will discuss “Advances in Rehabilitation Technology to Improve Human Mobility.” A noon luncheon will include an award ceremony and tribute to the late Ralph N. Pacinelli, Ed.D., a lifelong leader in vocational rehabilitation. The conference, which is presented by the University’s Leahy College of Health Sciences and the Edward R. Leahy Jr. Endowment, is free of charge and open to the general public. However, registration is required. Continuing education credits are also offered for some sessions. More detailed information and registration can be found on the disAbility Conference website. For additional questions, contact conference co-chairs Rebecca Dalgin, Ph.D., professor and chair of the University’s Department of Counseling and Human Services, at Rebecca.dalgin@scranton.edu or Lori Bruch, Ed.D, associate professor and faculty fellow, Office of the Provost, at lori.bruch@scranton.edu.
Geisinger Runner-Up in National AI Health Outcomes Challenge Geisinger has been named runner-up out of more than 300 entries in the Centers for Medicare & Medicaid Services (CMS) Artificial Intelligence Health Outcomes Challenge. Geisinger partnered with Medial EarlySign, a leader in machine learning-based solutions to aid in early detection and prevention of high-burden diseases, to use artificial intelligence (AI) to predict unplanned hospital admissions, readmissions occurring soon after hospital discharge, healthcare-associated complications, and mortality. The two entities collaborated to develop models that predict the risk of these outcomes using Medicare administrative claims data and created novel visualizations to explain the results in a clinician-friendly manner, a key component of AI implementation. “We are honored to be recognized as a national leader in using artificial intelligence to improve health outcomes,” said David Vawdrey, Geisinger’s chief data informatics officer. “The opportunity to participate in the CMS competition has significantly broadened our capabilities to design and implement predictive models, which will ultimately help prevent unnecessary hospitalizations and complications and reduce healthcare costs.” Geisinger and EarlySign’s shared vision of innovation and their collective focus on patient-centered care garnered recognition by CMS for “consistent strong performance across all competition elements while generating the best prediction accuracy results.” Their ability to successfully communicate predictions to clinicians, known as AI explainability, was a key factor in their selection as runner-up. “This achievement demonstrates the synergistic relationship Geisinger and EarlySign have in the journey to provide better care for patients,” said Ori Geva, co-founder and chief executive officer of Medial EarlySign. “This recognition is another validation that successful clinical AI solutions require deep understanding of clinical workflow, and expertise in clinical machine learning and clinical data.” The CMS AI Health Outcomes Challenge launched in 2019 with more than 300 entities proposing AI solutions for predicting patient health outcomes. Submissions aimed to forecast a variety of outcomes, including unplanned admissions related to heart failure, pneumonia, chronic obstructive pulmonary disease, and various other high-risk conditions; and adverse events such as hospital-acquired infections, sepsis, and respiratory failure. Geisinger was chosen as one of seven finalists in November 2020. To select the winner and runner-up, CMS conducted a rigorous evaluation process, supported by a team of AI scientists. Clinicians from the American Academy of Family Physicians, a CMS partner in the AI Challenge, reviewed and scored the models’ explainability. Submissions were reviewed and winners selected by a panel of CMS senior leadership. For more information on Geisinger’s work with artificial intelligence and machine learning, visit geisinger.org/innovation-steele-institute/innovative-partners/ai-and-deep-learning-lab.
Researchers Find AI Can Predict New Atrial Fibrillation, Stroke Risk A team of scientists from Geisinger and Tempus have found that artificial intelligence can predict risk of new atrial fibrillation (AF) and AF-related stroke. Atrial fibrillation is the most common cardiac arrhythmia and is associated with numerous health risks, including stroke and death. The study, published in Circulation, used electrical signals from the heart—measured from a 12-lead electrocardiogram (ECG)—to identify patients who are likely to develop AF, including those at risk for AF-related stroke. “Each year, over 300 million ECGs are performed in the U.S. to identify cardiac abnormalities within an episode of care. However, these tests cannot generally detect future potential for negative events like atrial fibrillation or stroke,” said Joel Dudley, chief scientific officer at Tempus. “This critical work stems from our major investments in cardiology to generate algorithms that make existing cardiology tests, such as ECGs, smarter and capable of predicting future clinical events. Our goal is to enable clinicians to act earlier in the course of disease.” To develop their model, the team of data scientists and medical researchers used 1.6 million ECGs from 430,000 patients over 35 years of patient care at Geisinger. These data were used to train a deep neural network—a specialized class of artificial intelligence—to predict, among patients without a previous history of AF, who would develop AF within 12 months. The neural network performance exceeded that of current clinical models for predicting AF risk. Furthermore, 62% of patients without known AF who experienced an AF-related stroke within three years were identified as high risk by the model before the stroke occurred. “Not only can we now predict who is at risk of developing atrial fibrillation, but this work shows that the high risk prediction precedes many AF-related strokes,” said Brandon Fornwalt, M.D., Ph.D., co-senior author and chair of Geisinger’s Department of Translational Data Science and Informatics. “With that kind of information, we can change the way these patients are screened and treated, potentially preventing such severe outcomes. This is huge for patients.” Geisinger and Tempus continue to work together to advance precision medicine using practical applications of artificial intelligence. Funding for this project was provided by Geisinger Clinic and Tempus. Geisinger has an exciting research environment with more than 50 full-time research faculty and more than 30 clinician scientists. Areas of expertise include precision health, genomics, informatics, data science, implementation science, outcomes research, health services research, bioethics and clinical trials.
