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In: Clinical Trail, PRES, Publications

Congratulations to Erin Sarzynski on her publication of Beta Testing a Novel Smartphone Application to Improve Medication Adherence. Dr. Sarzynski used PRES Rx, a patient-centered medication management application, as a mobile health (m-health) tool to auto-populate drug names and dosing instructions directly from patients medication labels utilizing OCR. PRES Rx also reminded patients to take their medications, tracked their adherence, conducted surveys, and reported back in real-time.Read More →

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Congratulations to Veronica Decker on your publication of Piloting an Automated Distress Management Program in an Oncology Practice. Dr. Decker used PRES Mobile to collect data directly from patients, perform real-time analysis, and create tailored psychosocial coping recommendations, referrals, or both to nurses and patients.Read More →

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In: Clinical Trail, PRES, Publications

Congratulations to Sandra Spoelstra on your publication of Feasibility of a text messaging intervention to promote symptom management and medication adherence for patients prescribed oral anti-cancer agents. Dr. Spoelstra used the PRES IVR and SMS system to promote self-management for patients prescribed oral oncology agents. Patients had high satisfaction with the texts, and adherence and symptoms improved after the intervention.Read More →

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Come see Veronica Decker at the 16th World Congress of Psycho-Oncology and Psychosocial Academy, IPOS 2014 in Lisbon, Portugal, October 20-24 at our poster presentation, “Distress in Cancer Patients is a Nurse-Sensitive Outcome“. Many thanks to Veronica B. Decker, APRN, PMHCNS-BC, MBA (Wayne State University); Debra Schutte, PhD, RN (Wayne State University); Xiang Zhu, MS (Florida Hospital Cancer Institute); and Brian Decker, MBA (EMOL Health) for all their work on this project.Read More →

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In: Conference, Healthcare Quality, Publications

Congratulations to Dr. Sajeel A. Chowdhary (Florida Hospital Neuroscience Institute), Dr. Barbara Ann Given (MSU), Dr. Charles W Given (MSU), Cindy Majeske (MSU), Paul D. Decker (EMOL Health), and Brian D. Decker (EMOL Health) on acceptance of their abstract "Small business technology transfer (STTR) phase I study (1 R41 MD006148-01) of an automated voice response (AVR) system to improve symptom management in neuro-oncology patients". Read the publication here.Read More →

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Researchers at the University of South Florida (USF), who are working with EMOL Health, submitted a paper which is under review by IEEE Transactions on Biomedical Engineering. This paper outlines a process for extracting information from EMRs to develop prognostic models by focusing on palliative chemotherapy for stage IV breast cancer patients. Abstract: The purpose of this work is to develop a model to predict a stage IV breast cancer patient’s response to first-line chemotherapy using data mining techniques. We discuss the process of extracting and processing electronic medical record (EMR) data from a private oncology practice and the method for developing a logistic regressionRead More →

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EMOL Health, in conjunction with University of South Florida (USF), is presenting at the INFORMS 2011 Annual Meeting in Charlotte, North Carolina. Ludwig Kuznia, a PhD candidate from USF, will be presenting research findings on using technology and clinical information for creating models to determine optimal treatment decisions. Abstract: Palliative chemotherapy is given without curative intent and aims to increase life expectancy and quality of life. This is a long term, multi-period decision process. In this work, Markov Decision Processes modeling is use to define the optimal treatment strategy. To determine the patient state space as well as state transition probabilities data were obtained fromRead More →

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EMOL Health, in conjunction with Michigan Technological University (MTU), is presenting a poster at the Great Lakes Bioinformatics Conference (GLBIO) 2011 at The Ohio University in Athens, Ohio. Dr. Laura Brown from MTU will be presenting research findings on using technology and clinical information for creating a predictive model for determining patient response to certain care plans. The GLBIO conference will run from May 2-4, 2011.Read More →