MEDINFO 2. 01. 5 – 1. World Congress on Health and Biomedical Informatics. PAPER SESSION: SUPPORTING MEDICAL RESEARCH – IIChair: Peter Embi. Automatic Selection of Clinical Trials based on semantic web approach. Marc Cuggia, Boris Campillo- Gimenez, Guillaume Bouzille, Olivier Dameron, Paolo Besana, Wassim Jouini, Oussama Zekri, Isabelle Gibaud, Cyril Garde, Regis Duvauferrier. TCGA4. U: A Web- based genomic analysis platform to explore and mine TCGA genomic data for translational research. Zhenzhen Huang, Huilong Duan, Haomin Li.
Managing OMICS- Data: Considerations for the Design of a Clinical Research IT- Infrastructure. Nadine Umbach, Benjamin Loehnhardt, Ulrich Sax. Patient- Centered Outcomes Research in Practice: The CAPri. CORN Infrastructure. Anthony Solomonides, Satyender Goel, Denise Hynes, Jonathan C Silverstein, Bala Hota, William Trick, Francisco Angulo, Ron Price, Eugene Sadhu, Susan Zelisko, James Fischer, Brian Furner, Andrew Hamilton, Jasmin Phua, Wendy Brown, Samuel F Hohmann, David Meltzer, Elizabeth Tarlov, Frances M Weaver, Helen Zhang, Thomas Concannon, Abel Kho. Conceptual Knowledge Discovery in Databases for Drug Combination Predictions in Malignant Melanoma. Kelly Regan, Satyajeet Raje, Cartik Saravanamuthu, Philip Payne.
ACT 504 Tax Accounting Principles (3 credit hours) Previously ACTN 927. This course introduces federal tax law, including the preparation of individual income tax form 1040 and related schedules. Tax accounting principles. 1 Lygeia Ricciardi is the director of the Office of Consumer eHealth in the Office of the National Coordinator for Health Information Technology (ONC), Department of Health and Human Services, in Washington, D.C. InformationWeek.com: News, analysis and research for business technology professionals, plus peer-to-peer knowledge sharing. Engage with our community. This is a tentative agenda. Please use it for initial planning purposes only. There is a short break between each breakout session. During each breakout time slot there will be a minimum of 4 sessions from which to choose.
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An Examination of Health Social Networks, Consumer Personalized Medicine and Quantified Self- Tracking. Abstract. A new class of patient- driven health care services is emerging to supplement and extend traditional health care delivery models and empower patient self- care. Patient- driven health care can be characterized as having an increased level of information flow, transparency, customization, collaboration and patient choice and responsibility- taking, as well as quantitative, predictive and preventive aspects.
EHealth in Latin America and the Caribbean: Development and Policy Issues. Xtalks Past Events / On Demand Archives : Synopsis: Webinar Title: Date: LifeSciences - In response to changes in the pharmaceutical market, CMOs and CDMOs must provide new service models that accelerate drug development times.
The potential exists to both improve traditional health care systems and expand the concept of health care though new services. This paper examines three categories of novel health services: health social networks, consumer personalized medicine and quantified self- tracking. Keywords: Patient- driven health care, health social networks, personalized medicine, quantified self- tracking, health care delivery, predictive health care, preventive health care, long- tail medicine, Internet, open source. Introduction. The life sciences field is advancing and changing in nearly every dimension, both content- wise and structurally. Volumes of new content are coming forth in the form of key research findings, affordable new technologies and simultaneous holistic and reductionist expansions via systems biology approaches and new sub- field branching. Structurally, life sciences are changing in three important ways: the concept of life sciences, how science in general is conducted and the models by which health and health care are understood and realized. Conceptually over time, life sciences are transitioning from being an art to a science to an information technology to now, an engineering problem.
Expanding The Reach And Impact Of Consumer Ehealth Tools You Can Use
The ways of science are also changing, both in how it is being conducted and in who is conducting it. The historical notion of science consisted of investigating and enumerating physical phenomena and doing hypothesis- driven trial and error experimentation.
An evolving notion of science adds three additional steps to the traditional method to create a virtuous feedback loop: first, mathematical modeling as a means of more actively understanding phenomena and predicting outcomes . Who is conducting science is changing as the notion of being in a post- scientific society explains; innovation is occurring in more venues, not just governmental and industrial research labs but increasingly at technology companies, startups, small- team academic labs and by creative entrepreneurs and other individuals . Webster’s dictionary defines health care as the “efforts made to maintain or restore health especially by trained and licensed professionals” (http: //www. Figure 1 takes this as a base and illustrates a new model of health and health care. The left column depicts the expanded definition of health and the continuum of health outcomes.
The initial focus on illness cure is broadened to include the improvement or resolution of chronic ailments, the attainment of baseline health normalization, the prevention of unhealthy states and promotion of wellness, the enhancement of current genetic, physical and mental health and the notion of health possibly being a vehicle for creative self- expression. A new model of health and health care. Along the bottom are the aspects of health to measure, starting with the usual conditions and symptoms and now including genomic testing, a wider range of ongoing blood- based and other biomarker testing, behavioral tracking such as nutritional intake, exercise and sleep and more systemically, evaluating and monitoring a person’s environment.
The body of Figure 1 shows the participants of the multi- party health care system and their relative importance from the reference frame of the individual. Individuals themselves can be the focus and center of action- taking in a number of areas such as measuring, tracking, experimenting and engaging in interventions, treatments and research. Consumers are starting to do this individually, in collaboration with health peers, who also have greater prominence now, and in co- care with physicians and other medical professionals.
Box 1 provides a look at how some of the industry’s key thinkers are characterizing the changing definition of health and health care. Box 1. Quoted excerpts regarding the changing definition of health and heath care.“. Prime Minister (http: //socialhealthnetwork. The premise is that we are at a new phase of health and medical care, where more decisions are being made by individuals on their own behalf, rather than by physicians, and that, furthermore, these decisions are being informed by new tools based on statistics, data, and predictions . We will act in collaboration with others, drawing on collective experience with health and disease . Scope of Analysis. This paper focuses primarily on one aspect of the broader shifts in life sciences, how health and health care are understood and realized, particularly through emerging patient- driven health care models.
The paper is intended to provide an early view into these models which could potentially have a large future impact but are only just in their beginning phases. The paper does not balance the discussion of the new models with adequate acknowledgement of the contribution of medical professionals working in traditional health care systems. Also in this early survey of the field, the paper only gives anecdotal rather than comprehensive coverage to the many shortcomings of emerging patient- driven health care models. Some of these shortcomings may include potential bias, error, lack of rigor in data collection and analysis, lack of professionalism, possible damage to the self and others, and legal and ethical dimensions.
All of these areas could be reviewed more fully in a subsequent and more extensive analysis of the emergence and efficacy of patient- driven health care models as the industry continues to develop. Emerging Patient- Driven Health Care Models.
Three emerging patient- driven health care models are now discussed in detail: health social networks, consumer personalized medicine and quantified self- tracking. Health Social Networks. Health social networks introduction. Social networks have become a powerful tool for bringing people with shared interests together to interact. In addition to general social networks (examples: Face.
Book, My. Space) and career social networks (examples: Linked. In, Plaxo), more specific purpose- driven social networks are emerging. In the Finance 2. Wesabe, Mint, Zecco, Cake Financial and Expensr. In the health space, over twenty health social networks have launched in the last few years including Patients. Like. Me, Cure. Together, Daily. Strength, Med. Help, Health.
Chapter, MDJunction, Experience Project, peoplejam, and Organized. Wisdom (Table 1 has URLs for all health social networks mentioned). List of health social networks (information current as of 1. Health social networks definition. A health social network is a website where consumers may be able to find health resources at a number of different levels (Figure 2). Services may range from a basic tier of emotional support and information sharing to Q& A with physicians to quantified self- tracking to clinical trials access. Services provided by health social networks.
One key value health social networks provide is the potential to find others in similar health situations and share information about conditions, symptoms and treatments. A health condition is a particularly strong affinity and the collective learning and experience of others can be leveraged and shared to help individuals make decisions. Health social networks are primarily directed at patients but caretakers, researchers and other interested and knowledgeable parties may be able to participate. The largest and best- known health social network is Patients. Like. Me, which started in 2. December 2. 00. 8, 2. Also as of December 2.
ALS) patients in the U. S. Some health social networks serve as a point resource for over 7.
MDJunction, Health. Chapter) and in fact, a key benefit of health social networks is that they can offer a more comprehensive look at a patient’s health by covering a deeper and broader range of conditions than is expedient for traditional medicine. Other health social networks focus on fewer conditions more profoundly (examples: Patients. Like. Me, Cure. Together), using additional functionality such as quantified self- tracking and collaborative filtering to identify potentially related conditions patients might be experiencing and match patients in similar situations.
Collaborative filtering has been identified as a critical mechanism in facilitating patient information- seeking and trust- building in Internet health models . Services provided by health social networks. This section has an in- depth review of the services provided by health social networks: emotional support and information sharing, physician Q& A, quantified self- tracking and clinical trials access. Emotional support and information sharing. The basic services offered by the majority of health social networks are a mix of emotional support and information sharing at no cost to registered site users. Some health social networks may emphasize one area more, such as information and research citations (example: Organized. Wisdom) or social connection and support (example: Daily.
Strength). Websites may auto- populate general condition information from Internet health resources such as Wikipedia articles and Pub. Med links. In addition to the general information, patients may be able to enter qualitative and quantitative data about their own conditions, symptoms, treatments and overall experiences. Emotional support, social support and patient empowerment are important components of health social networks, available both implicitly and explicitly.