Our Controlled Substance Management program is a DEA compliant, customizable service that is an important part of building a comprehensive shipboard medical supply inventory. Our program is focused on ensuring the health and wellbeing of crew members on board vessels at sea.
Since 2002, we have provided health services for start-up entrepreneurs, corporations large and small, defense-industry manufacturers, and government agencies. We are bonded, highly insured, and meet all compliance requirements from coast to coast.
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Discovery Health Channel was an American subscription television channel. Launched in July 1998, it was owned by Discovery Communications as a spin-off of Discovery Channel, focusing on health and wellness-oriented programming.
In the beginning, DHC's programming consisted of reruns of medical- and health-themed programming from other Discovery networks, particularly TLC. As the network matured, it began producing its own reality series, mostly dealing with babies (Babies: Special Delivery, Birth Day), bodies (Plastic Surgery: Before and After, National Body Challenge), and medicine (The Critical Hour, Dr. G: Medical Examiner). DHC also showed episodes of the CBS medical drama series Chicago Hope on a semi-regular basis. DHC also aired fitness-related programming, most of which later spun off to its sister network FitTV. DHC won its first Daytime Emmy in 2004 for its original series about adoptive families, Adoption Stories.
Revolutionary ideas often come from unexpected directions. Many concepts and tools central to understanding and improving health have come from basic, untargeted research. NIH not only supports these basic advances but also conducts the clinical and translational research that transforms discoveries into medical practice.
For more than eight decades, the faculty and staff in the Department of Pediatrics at Duke University School of Medicine have conducted pioneering child health research, and expertly trained future pediatrician-scientists.
Under the umbrella of the Children's Health & Discovery Initiative, these efforts will have an even bigger and broader impact. By bringing together pediatric physician-scientists and faculty experts from a variety of fields across the Duke campus, the new initiative will drive multidisciplinary research collaborations focused on improving children's health and identifying pediatric origins of disease.
Texas Health and Human Services is committed to providing services to our applicants and clients in a fair and nondiscriminatory manner. This obligation to comply with federal and state laws and regulations extends to service contractors, as well as any other agency, institution, or organization participating in a health and human services program by contract or other arrangements.
The NextGen Precision Health Discovery Series provides learning opportunities for UM System faculty and staff across disciplines, the statewide community and our other partners to learn about the scope of precision health research and identify potential collaborative opportunities. The series consists of monthly lectures geared toward a broad multidisciplinary audience so all can participate and appreciate the spectrum of precision health efforts.
The Emory/Georgia Tech Predictive Health Institute (PHI), through its Center for Health Discovery and Well Being (CHDWB), is a component of the Georgia Clinical and Translational Science Alliance, a collaborative effort of Emory University, Morehouse School of Medicine, the University of Georgia, and Georgia Institute of Technology (Georgia Tech). The Predictive Health Institute was established as part of the Emory University strategic plan in 2005 as an innovative approach to understanding and optimizing health that focuses on maintaining health rather than treating disease. The CHDWB was established as the clinical expression of Predictive Health, with the purpose of integrating PHI principles with scientific discovery, health focused research and education using a combination of established and cutting edge tools to identify and measure risks and deviations from health. The CHDWB serves as a practical test of the concept of health-focused care, as well as an academic resource and a clinical-translational laboratory with its innovative delivery model and longitudinal database and tissue repository.
Two core CHDWB goals have been to describe health in social, cultural and biological terms, and to use these tools to understand and predict deviations from health and overall health prognosis. A variety of metrics are used in this process, including a battery of questionnaires, assessments and laboratory tests that are either disease specific (e.g. cancer, neurodegenerative diseases, and atherosclerosis) or follow common pathways such as oxidative stress, inflammation, and immune status.
The scope of our work ranges from knowledge generation to proof-of-concept studies in humans (or the equivalent). When possible, we aim to foster the generation of more affordable, deliverable, scalable, and sustainable versions of extant interventions. When not, we aim to drive the discovery and development of transformational advances toward impact that cannot otherwise be achieved. Key functions in support of this mission include the continuous surveying of an ever-changing scientific and technological innovation space; the catalyzing and harnessing of cutting-edge technologies both for specific initiatives and for the development of platforms that can provide cross-cutting support to drug, vaccine, and biologics discovery and translation; and the fostering of an effective ecosystem of global health innovation, funding, and partnership.
We source, sustain, and accelerate innovation and innovative partners in diverse ways, ranging from RFP platforms (the Grand Challenges family of programs) to technology sentinel programs and directly targeted investments in technologies, investigators, and platforms across academia, research institutes, biotech, pharma, and product development partners. We work closely with the Bill & Melinda Gates Medical Research Institute in the translational space. We place a high value on the continued expansion of a robust, open-science, open-data ecosystem to facilitate much more rapid, data-based decision-making in global health.
We recognize that solving the most pressing challenges in global health and development requires more of the world's brightest minds working on them. The Grand Challenges family of initiatives seeks to engage innovators from around the world to solve these challenges. Grand Challenges initiatives are united by their focus on fostering innovation, directing research to where it will have the most impact, and serving those most in need.
So we decided to offer a new, competitive model. The beauty of it is the shared value it creates for our customers, our company, and society. Our customers are given an incentive to become healthier, lowering their premiums. And we are able to operate with better actuarial dynamics and profitability.
Just as Vitality has allowed us to expand geographically, it has also been an additive model that can accommodate other dimensions. For instance, we found that most motor insurance suffers from the same irrationalities as healthcare and life insurance: people underconsume wellness, which in this case means safe driving.
Discovery Health is a South African health insurance company whose purpose and ambition are achieved through a pioneering business model that incentivizes people to be healthier and enhances and protects their lives. With a data-driven approach, its shared value insurance model delivers better well-being and value for clients, superior actuarial dynamics for the insurer, and a healthier society.
At the start of the pandemic prior to high COVID19 case-loads in South Africa, the team came across a New York Times article written by a doctor working in an A&E department during the peak of coronavirus. The piece explained how a simple device, such as a pulse oximeter, could decrease mortality rates in high-risk patients. Discovery Health realized they had substantial data at their fingertips, which could help to identify clients who might be at a higher risk of hospitalization, and allow them to take proactive, preventative measures like this and help to improve their health.
The secure use of these combined sets of data, from previous medical history to logged exercise, helped determine new factors that could contribute to a heightened risk level. These were additional to the commonly known, generic priorities for COVID-19, such as the elderly, and those with known, underlying health conditions.
For example, the team was able to identify that a younger person on the system with diabetes and a history of health issues should be prioritised over a 70-year-old man that regularly exercised and was in good health. At-risk patients were then contacted over the phone, and if necessary, received pulse oximeters as a precaution, or provided advice on lifestyle changes that may reduce their risk factors. Lower risk individuals were sent an email notification with the best precautions they could take. Thanks to the combined use of data sets, the Patient-X pipeline was proven remarkably accurate when backtested against actual admissions of positive COVID-19 patients. Furthermore, 20,000 additional members were identified as high risk using the Patient-X pipeline, compared with the standard clinical rules-based classification.
Once the urgency of identifying, monitoring and contacting high risk patients dials down, the Discovery Health team will be able to easily shift its mindset towards prediction. Using the same data sets already established on the Cloudera platform, Discovery Health is prepared to minimise admission and mortality rates for any future outbreaks. This experience enables the company to expand their models further for different healthcare use cases. For example, it can use the models to help detect the likelihood of someone developing mental health challenges, such as depression, based on health-related data sets. ff782bc1db
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