Day :
Track 1:Healthcare Informatics
Track 7:Health Informatics Management
Location: Crown Plaza New Orleans AIrport
Session Introduction
Julie Lindenberg
University of Texas Health Science Center at Houston, USA
Title: Best Practices to Improve Adolescent Well Care Rates
Time : 11:30-12:00
Biography:
Julie A Lindenberg is a Family Nurse Practitioner. Her academic degrees include a Bachelor of Science in Nursing from The University of Delaware, a Master of Science in Nursing from The University of Texas Health Science Center in Houston, and a Doctor of Nursing Practice from Columbia University where she received the Macy Foundation Scholarship. She is working as an Associate Professor of Clinical Nursing at UTHealth in Houston for 23 years. She has served as a Clinical Quality Manager for RediClinic and as Director of The University of Texas Health Services.
Abstract:
Evidence suggests that adolescents do not return for recommended yearly wellness exams, unless prompted. This creates a missed opportunity for providers to coordinate a medical home and to help reduce risky behaviors in teenagers. Identified barriers to use medical homes among families with adolescents age 11-18 include obstacles to scheduling or keeping appointments, which include: lack of cooperation from teen, parental work conflicts, child care needs, lack of transportation, and lack of night and weekend appointment availability. These issues of accessibility can be addressed via various health communication innovations and technologies, including a comprehensive patient information portal, electronic messaging access to the health care provider and family centred internet and video health information resources. Other impediments to adolescent wellness care include continuity of care, comprehensive care, and coordination of care issues, which can be approached technologically with patient appointment and referral tracking systems and a comprehensive electronic risk assessment software. By implementing the above operational and scheduling strategies, primary care providers of adolescents can reduce barriers to use of the medical home, improve outreach to the teen and his/her family, and, ultimately improve adolescent wellness by ensuring that the patient stay connected to a medical home.
Kimberly Denney
Stanson Health, USA
Title: Improving physician acceptance of alerts with closed loop analytics
Time : 12:00-12:30
Biography:
Kimberly Denney is an accomplished senior executive and global commercial leader with more than two decades of continuous success in leading international commercial operations, with a focus in the healthcare and medical device industries. She is an expert in building winning market strategies and directing operations to drive sustainable revenue generation. In 2015, Kimberly published her dissertation on Assessing Clinical Software User’s Needs for Improved Clinical Decision Support Tools. Kimberly was admitted as a member of the Golden Key International Honor Society in recognition of her outstanding career and her prominence as a thought leader.
Abstract:
Previous research identified the average primary care physician sees more than 60 alerts per day requiring nearly an hour of their clinic time to manage. With 90% of those alerts considered unwarranted, improved CDS tools are vital to supporting transitions to value based care and the active engagement of providers. A recent quantitative correlation study focused on physician perceptions of CPOE alerts found a statistically significant affect between elements of alert design and perceived value in improving adherence to ACO quality measures. Application of sociotechnical considerations in the design of provider alerts coupled with near-real-time analytics provides organizations assuming greater financial risk with tools to reduce waste and inappropriate care while supporting improvements in care quality. This presentation will describe the findings from this quantitative correlation research study. A brief demonstration of a novel, advanced alert analytics platform will highlight how organizations might close the loop with their providers to achieve a clinical and financial return on their EHR investments.
Jeff Garrett
University of Auckland, New Zealand
Title: Can technology improve health outcomes in COPD patients?
Time : 12:30-13:00
Biography:
Jeff Garrett is an associate professor in respiratory medicine at University of Auckland, New Zealand. His research interest includes asthma, COPD, bronchiectasis, chronic cough, lung cancer, lung infections, endoscopy - bronchoscopy, immigration. He published 55 research papers in International Journals.
Abstract:
Telehealth interventions can be shown to improve health outcomes for patients with COPD but economic benefits are marginal. New technologies and models of care are therefore required. We undertook a feasibility study by recruiting 60 COPD patients into a randomised controlled trial to assess the impact of a robot in the home. The robot was capable of recording lung function, oximetry, questionnaires, and reminded patients to take the medications daily and to undertake regular exercise. Entertainment and relaxation functions were incorporated as well as educational measures to encourage healthy behaviour. The device was linked to smartinhalers (Adherium) that monitored patient adherence with inhaled therapy and a mobility app to monitor activity and sleep. There was also a method to allow the patient to communicate directly with the healthcare team. Data was regularly collected by the robot once a week and checked by the physiotherapists on the server. The patients randomised to usual care received smartinhaler evaluation to assess adherence but the information was not used to aid management. The hypothesis we are testing is that the group randomised to receive the robot will have fewer exacerbations and when they do develop worsening respiratory symptoms, will receive more rapid health care intervention and therefore fewer hospitalisations. We predict that the extra support will result in lower anxiety, reduced loneliness and improved adherence with both exercise and medical treatment. Outcome data will be in the final stages of collection at the time of the meeting and the main emphasis of this presentation will be on the intervention.
Evelyn H. Thrasher
Western Kentucky University, USA
Title: An Empirical Investigation of Integration in Healthcare Alliance Networks
Time : 14:00-14:30
Biography:
Evelyn Thrasher is Associate Professor of Information Systems in the Gordon Ford College of Business at Western Kentucky University. She serves as Director of the Professional Education and Knowledge Program and as the Knicely Faculty Fellow in Leadership. She holds a BS in Mathematics from East Tennessee State University and an MBA and PhD in Management Information Systems from Auburn University. She has published in Communications of the AIS, Decision Support Systems, Hospital Topics, and other journals, and has presented at numerous national conferences. Her research focuses on the strategic management of IT to achieve positive outcomes in healthcare.
Abstract:
Healthcare alliance networks have developed rapidly in the US. Yet, research has not kept pace. This study examines two interrelated healthcare research needs—the value of information technology (IT) and the complementarity of IT with process and decision-making (PDM) integration. Hypotheses relate (i) IT integration, (ii) PDM integration, and (iii) alliance network integration (complementarity of i and ii) to performance. The mixed results lend support to the complementarity of IT with PDM integration and call for a more holistic perspective of the healthcare alliance network.
Thompson H. Boyd
Hahnemann University Hospital, USA
Title: Data Analytics: Governance is Key – is your Data Safe and Fit?
Time : 14:30-15:00
Biography:
Thompson H. Boyd, III, M.D. completed Medical School at the University of Virginia and went to Hahnemann Medical College in for training in Internal Medicine. As a practicing Internist for over 25 years, Dr. Boyd has devoted 100% of his time as a Clinical Informaticist, and in 2013, was part of the first class to be certified in Clinical Informatics. He serves with HIMSS in a number of Public Policy initiatives, and is co-Chair of the HIMSS Privacy and Security Public Policy Task Force, and is a member of the HIMSS Annual Education and Conference Committee.
Abstract:
Healthcare Organizations received a “call to action” in March 2015 when Secretary Burwell stated that 85% of Medicare dollars paid was to be tied to Value in 2016, and 90% of Medicare dollars paid was to be tied to Value in 2018. In 2019, under The Medicare Access and CHIP Reauthorization Act (MACRA) of 2015 goes into effect where Physician payment will be more closely tied to value and population health. Organization need to have robust Data Paralytics engines where queries can be answered and provided to the clinician at the point of care. Most important, the data needs to be trusted by the stakeholders for data to flow and be successfully used and consumed. Resources must be devoted to data provenance and to data integrity. A business case is central to the sharing of data. Systems must be secure, and security risk assessments need to be performed, where an aggressive mitigation plan is in effect. Cybersecurity risks need to be managed by in a number of ways, including the sharing of threat information among stakeholders, participation in federal/private initiatives, and undergoing formal analysis such as penetration testing. Patients also need to be in control of who sees their data, and what data is seen by whom? A patient should never be surprise to see that their data is in an unintended location.
Biography:
Amanda Brief completed her Bachelors in Biology & Society from Cornell University and later, her Master of Engineering (MEng) in Industrial Engineering and & Operations Research from UC Berkeley. It was at Berkeley, last year, that she was part of a class project team at the Center for Innovation Technology and Research in the Interest of Society (CITRIS) that developed an early prototype of a tampon monitor, which could monitor fullness level with the intention of sending the tampon wearer their saturation data in real time. This turned into her startup, my.Flow, Inc., which got picked up by HAX Hardware Accelerator in early 2016, where she and her team received a grant in order to devote themselves to full time development of a fully functional tampon monitor that will aggregate data for women everywhere in a way that has never before been possible. Ms. Brief’s interests and experience had occupied the women’s health and advocacy spaces even prior to founding my.Flow. She was a counselor and trainer of counselors for the EARS peer anxiety reach out hotline at Cornell, and an active member of the Vagina Monologues movement. She interned at Rockland Family Shelter, working with survivors of domestic abuse. After her studies she was a research assistant at Columbia University Medical Center and Beth Israel Medical Center, with emphases in neurobiology and mental health disorders. Ever since she went back to school to do her Post-Baccalaureate studies in engineering, she sought to combine her predilections for both quantitative and outreach related endeavors, and has found this in my.Flow.
Abstract:
my.Flow seeks to change the conversation around menstruation. Currently a pervasively taboo topic, it is something (over) half the world’s population experiences every month, for decades. We want to empower women through insight, helping them to learn their flow. Menstrual innovation is embarrassingly lagging; it’s about time women had a smart device to prevent both staining/leakage, and infection related to leaving their tampons in too long. We are leveraging technological improvements in the realm of sensing and circuitry to create a tampon monitor, which alerts its user as to the saturation level of her tampon via a notification on her phone. What’s so prolific about it being ‘smart’ is that it’s the first tampon of its kind. The user experience aim is convenience – currently, you can’t check the level of your tampon, so many women err on the side of taking their tampon out prematurely, which is not only wasteful, but also quite physically uncomfortable. Our market research shows that over half of women would buy a product that would help them prevent staining/leakage on their period, waste/excess spending due to premature removal of their hygiene product, and a product that would help them predict when their period would stop and start each cycle, the heaviness of their period on a given day, and a whopping 82% are ready to buy a product that would help them prevent Toxic Shock Syndrome and other menstrual-related complications.
Julie M Kapp
University of Missouri School of Medicine, USA
Title: Complex adaptive systems and informatics challenges: A case study of the Missouri maternal, infant, and early childhood home visiting programs
Time : 15:30-16:00
Biography:
Julie M Kapp, MPH, PhD is an Associate Professor with a background in Public Health and Evaluation. Her faculty appointments have included notable roles, such as: the Executive Director of the Health and Behavioral Risk Research Center, Margaret Proctor Mulligan Faculty Scholar, and Executive Director of the Partnership for Evaluation, Assessment, and Research. She has served as an NIH grant reviewer, an Associate Editor for BMC Cancer, and a journal reviewer for such notable titles as Cancer, International Journal of Cancer, and The Lancet. She recently completed a year-long Malcolm Baldrige Executive Fellows Program focused on aligning and integrating systems.
Abstract:
The Patient Protection and Affordable Care Act of 2010 (ACA) has generated attention for programs that drive a systems-engineering approach to health-related services. The term complex adaptive systems (CAS) acknowledges, programs and activities are not conducted in vacuums, but are part of larger networks, with histories and evolving dynamics. Systems-thinking considers how components within a larger structure operate and interact over the life cycle of the system; and how to optimize the design, implementation, and evaluation of that system. A ‘system’ can be defined as “a group of interacting, interrelated, and interdependent components that form a complex and unified whole.” To evaluate the population-level impact of programs requires a CAS-perspective, but also presents an enormous informatics challenge. We use the Maternal, Infant, and Early Childhood Home Visiting (MIECHV) program, as created by Section 2951 of the ACA, as a case study for illustration. MIECHV is intended to provide comprehensive services to pregnant women and at risk parents of children (birth to age 5) through home visiting programs. With all states receiving formula funds to address their at-risk communities, and home visiting programs having been in existence for decades, evaluating the effectiveness of these programs becomes a CAS and informatics challenge.
Track 8:Health Informatics Engineering
Track 15:Neuroinformatics
Location: Crown Plaza New Orleans airport
Session Introduction
Adrian Zai
SRG Technology, USA
Title: Effectively managing population health
Time : 11:35-12:05
Biography:
Adrian Zai, MD PhD MPH, is the clinical director of population informatics at the Massachusetts General Hospital’s Laboratory of Computer Science, a faculty member of Harvard Medical School, and the Chief Medical Informatics Technology at SRG-Technology. Dr. Zai has been in healthcare for over 20 years, with the last 12 years focused on population health management. He is the lead designer and innovator of Top Care, an information technology platform designed uniquely for population health management with core components that support team-based care and patient-centered management.
Abstract:
In this presentation, Dr. Zai will give an overview of the state of population health management in the U.S. as it relates to technology. He will touch on the most important peer-reviewed publications in this domain and share lessons learned. Furthermore, he will talk about areas of challenges and unprecedented opportunities for information technology to improve outcomes and reduce costs of health care in the United States. He will present several use cases where some of the clearest opportunities exist to reduce costs through the use of big data, care coordination, or creative patient engagement solutions. He will explain what are the critical technology components required for effective population health management and share critical mistakes to avoid
Julie Hernandez
Tulane University School of Public Health, USA
Title: Introducing a Text – Message based Early Warning System for Contraceptive Stock Outs in Kinshasa, D.R. Congo
Time : 12:05-12:35
Biography:
Dr. Julie Hernandez received her PhD from the University of Paris X Nanterre in 2010. She currently is a Research Assistant Professor with the Tulane School of Public Health in New Orleans, LA. Dr. Hernandez is a Geographic Information System / Digital Data Collection specialist with 10+ years of experience in developing user – friendly, participant mapping and surveys initiatives and early warning systems in resource – constrained environments. She serves as Co-Investigator on several DFID, Gates Foundation and Packard Foundation funded projects in DR Congo to improve access to Family Planning services.
Abstract:
In Kinshasa, D.R. Congo, unmet need for modern contraception is extremely high (31.3% in 2013), while access to primary healthcare facilities remains difficult. Community – based contraceptives distribution is a possible solution to increase FP use. However, evaluations conducted with Community – Based Distributors (CBD) revealed that they were stocked out of contraceptives about 70% of the time. Quarterly resupply circuits were insufficient to meet the demand. In addition, routine healthcare services reporting in Kinshasa is mired with completeness, accuracy and timeliness issues. In order to strengthen contraceptive logistics, Tulane developed a text – message based reporting system to track contraceptive distribution at the community level. This system (“sms4bPF”) is linked to a web base capable treating routine data and alerting suppliers of imminent stock outs. We evaluated the technical and systemic feasibility of this platform based on feedback from 150 DBC users and quality analysis of the pilot database. While this text-message based reporting system shows promising results in terms of strengthening ADBCs involvement in community-based activities and FP service reporting, the pilot phase revealed in particular that, while some of the issues encountered with this reporting system stem from its technical design, most barriers to its effectiveness are rooted in the same communication and logistics issues plaguing the contraceptive supply chain in Kinshasa. With electronic data collection and mHealth increasing popularity for strengthening global health systems, this presentation will endeavor to look beyond the “techno fix” approach and highlight systemic hurdles to scaling up and sustaining these initiatives in challenging programmatic environments.
Syed Imtiaz Ali Rizvi
Ajman University of Science and Technology, UAE
Title: Extracting Healthcare information from Retail Business Data warehouses
Time : 12:35-13:05
Biography:
Syed Imtiaz Ali Rizvi is a senior lecture at Department of Information Systems, College of Information Technology, Ajman University of Science and Technology, Fujairah Campus, United Arab Emirates. He has bachelors degree in Electrical Engineering and Masters in Computer Science. He has more than 25 years of teaching experience and has supervised around 50 projects in a diversified fied of science and technolgy. He is extensify involved in research with Dr. Amer Al-Nasiri; who is Deputy Dean of the college and is a co-author of this paper. He has different published articles in the field of Image Processing and Data mining.
Abstract:
Healthcare information are traditionally collected through surveys, which are although a direct source but much of the healthcare information is hidden. There should be an indirect way to collect the healthcare information about individuals and communities. Such information provide a real-time insight into the health situation of individuals or communities. Currently Data warehousing is a common source in Businesses to get information to plan and to know the current and future trends in business. The main source of business data are individuals and communities; so why not this huge reservoir of information is used for healthcare. In this article we describe two analytical techniques based on support vector machines (SVMs) for data analysis and support vector regression (SVR) to extract and classify healthcare information from a typical Business data warehouse about individuals and communities. Working out on data collection of a local chain of retail market in UAE and from the purchase habits of consumers get their healthcare information. Different kernels are be used in Support of Vector Machines models. These include linear, polynomial, radial basis function (RBF) and sigmoid as part of mapping system and analysis of healthcare information. The results show that using SVM method as analytical and classification tool for healthcare data is promising and comparable to other techniques like ANN. Finally this technique can be used to correlate the extracted information with the existing standards of International health organizations at a national and global level and suggest the change in purchase habits of individuals and communities in context of healthcare.
Badeia Jawhari
University of Alberta, Canada
Title: Barriers and Facilitators to Electronic Medical Record (EMR) Use in Urban Slums - Kibera Field Study
Time : 14:00-14:30
Biography:
Badeia obtained a bilingual Bachelor of Commerce degree, is a Certified Human Resource Professional (CHRP) and completed a Master of Science degree focused on health informatics from the University of Alberta. Badeia developed a passion for health technology and global development when presenting at the 2009 Education without Borders conference in Dubai. She began an exploration of innovative uses of tele-health and mobile devices in rural Kenya, then progressed to a range of work in not-for-profit health informatics and global health initiatives. Badeia’s research interests include applications of mobile health technology and impacts of health information systems in resource-limited settings. Badeia is currently managing an EMR initiative in Nairobi, Kenya and works with global partners providing support and expertise to other EMR deployments.
Abstract:
Nearly one billion people live in slums throughout the world, where they suffer from the health problems of vulnerable populations. Recognizing the potential of electronic medical records (EMRs) to improve communication, sharing and tracking of health care; this study explored facilitators and barriers to effective EMR use in an urban slum in Kibera, Nairobi. Descriptive qualitative methods were used to characterize perceptions of primary care staff about effects of EMR implementations in two different Kibera clinics. Ten staff participated in in-depth interviews guided by open-ended, semi-structured questions. Content analysis methods were used to explore transcribed data. Three major themes – infrastructure, software, social and organizational issues – emerged, with sustainability crossing all as an overriding concern for participants. Although many infrastructure (e.g., reliable power, networks and interoperability) and software (e.g., health data, confidentiality and deployment) challenges were described, social and organizational factors (e.g., identity management and EMR use incentives) appeared to be the most potent determinants of positive or negative EMR impacts. These findings are consistent with what others have reported, especially the importance of practical (infrastructure and software) barriers to EMR use in both limited resource settings and developed countries. Other findings appear to be uniquely impactful in slum settings, including the importance of identity management, meaningful incentives and sustainability programs.