Big Data and Health: Find Out How Apps Can Improve Your Wellbeing

healthBig Data, wearable devices, and mobile technology are once again converging, this time to form the emerging generation of health analytics applications. The capabilities of these Big Data health apps are transforming the way we manage our own health, and the way healthcare providers and companies manage their patients’ health.

Big Data health apps are giving individuals as well as healthcare professionals, hospitals, healthcare companies, and pharmaceutical companies new insights based on user-generated data that will help them to make well-informed, individually tailored decisions.

The purposes of these apps are to enhance patient engagement between office visits, encourage prescription medication compliance, and inform marketing strategies for the healthcare industry. In addition, some of these companies provide individuals with the opportunity to analyze their own personal health data via wearable devices, in order to adjust their choices and lifestyles in an effort to maximize their levels of wellbeing.

Big Data is also revolutionizing medical research by helping researchers to visualize and analyze big datasets that were previously unattainable. Large datasets will also soon be used to predict and prepare for individual illnesses, times of increased demands on healthcare services, and more. Keep reading to find out about companies that are shaping the Big Data and health landscape.

Companies and Apps in the Big Data and Health space:

All descriptions are from companies’ websites.

Mango Health

For many consumers, better health starts with being more compliant with physician-prescribed treatment regimens, including adherence to prescribed medications and supplements. We make products that are easy to use, delightful to interact with, and build good habits around daily medication regimens. Our platform delivers exceptional levels of patient engagement over long periods of time and unique insight into patterns of nonadherence.

HeartMath

HeartMath scientifically monitors your emotional and physical health – and helps you improve it. HeartMath’s mission is to help people bring their physical, mental and emotional systems into balanced alignment with their heart’s intuitive guidance. This unfolds the steps to fulfillment through becoming “who we truly are.” Incorporate heart-healthy habits in your personal and professional life. We’ll teach you how.

HAPIfork

Eating too fast leads to poor digestion and poor weight control. The HAPIfork, powered by Slow Control, is an electronic fork that helps you monitor and track your eating habits. It also alerts you with the help of indicator lights and gentle vibrations when you are eating too fast. Every time you bring food from your plate to your mouth with your fork, this action is called: a “fork serving”. The HAPIfork also measures: How long it took to eat your meal. The amount of “fork servings” taken per minute. Intervals between “fork servings.” This information is then uploaded via USB or Bluetooth to your Online Dashboard on HAPI.com to track your progress. The HAPIfork also comes with the HAPIfork and HAPI.com apps plus a coaching program to help improve your eating behavior.

GNS Healthcare

GNS Healthcare is a big data analytics company that has developed a scalable approach for the discovery of what works in healthcare, and for whom. Our analytics solutions are being applied across the healthcare industry: from pharmaceutical and biotechnology companies, health plans and hospitals, to integrated delivery systems, Pharmacy Benefits Managers (PBMs), and Accountable Care Organizations (ACOs). Whether your organization is delivering care or developing personalized therapies and diagnostics, GNS Healthcare can help you discover the knowledge you need to match patients with treatments that work.

IMS Health

By applying cutting-edge analytics and proprietary application suites hosted on the IMS One intelligent cloud, the company connects more than 10 petabytes of complex healthcare data on diseases, treatments, costs and outcomes to enable our clients to run their operations more efficiently.

Treato

Treato automatically collects the massive amount of patient-written health experiences from blogs and forums and, with advanced Natural Language Processing (NLP), extracts relevant information, connects the dots and creates the big picture of what people say about their medications and conditions. This is the first time that the social health web has been indexed on such a massive scale to generate the voice of the patient, accessible to everyone in the healthcare ecosystem. Treato’s big data analytics are available in a consumer site and as an in-depth service for pharmaceutical marketers.

Liquid Grids

Liquid Grids combines powerful analytics, targeted buyer personas and inbound strategies to create a full-service marketing solution for the healthcare industry. From our all-inclusive managed service to our upcoming do-it-yourself SaaS solution, Liquid Grids has marketing solutions specifically designed for the healthcare industry. Direct to Persona™ marketing means that every decision is powered by our comprehensive, data-driven buyer personas and our inbound marketing techniques to drive leads and generate engagement with quality content and adverts. If you’re looking for data-driven marketing strategies focused around real results with real ROI, look no further than Liquid Grids.

RxAnte

RxAnte offers an integrated analytics platform that targets, manages, and evaluates medication quality programs. The RxAnte System delivers proactive, patient-level intervention recommendations to enable population-level improvements. Our technology can improve the effectiveness and efficiency of any medication use improvement program. Our patent-pending analytics platform uses readily available claims and clinical data in a continuous learning and improvement process.

OptumOne

Optum One streamlines health-organization management by converting health information to health intelligence. The Optum One intelligent health management platform enables providers and delivery systems to improve health and manage cost. The platform is powered by the industry’s most advanced integrated data and a flexible suite of applications that leverage health insights and pivot this knowledge into targeted action at the point of care. Optum One uses an unmatched foundation of health care data that is cleaned, normalized and validated.

InterSystems

Healthcare providers, application vendors, and governments in 111 countries rely on our products and our over 35 years of experience to make breakthroughs in connected health. Our products for data management, interoperability, analytics, and health information systems are enabling our clients to gain the benefits of connected health – better patient outcomes and cost management.

Zephyr Health

We help our customers find non-obvious insights (from data that does not connect easily together). We transform data via research, integration, modeling, analytics and visualization within our cloud-based Zephyr Platform – so our customers optimize their market-shaping efforts.

Ginger.io

The potential for big data in health is endless. We built our company to empower researchers, physicians and healthcare providers to improve patient care. Our company is based on cutting-edge predictive models developed by MIT scientists and engineers. Our data-driven approach helps unlock patterns in the massive amounts of health data we all generate today.

lark

Developed with top health experts, lark’s solutions bring meaning to the Internet of Things. lark is your personal health and wellness assistant. Keep your phone in your pocket. lark does the rest.

Check Out These Resources for Insights on Big Data and Health:

http://www.hsph.harvard.edu/news/magazine/spr12-big-data-tb-health-costs/

http://www.forbes.com/sites/emc/2014/01/22/can-big-data-and-mobile-make-health-care-more-effective/

http://www.mckinsey.com/insights/health_systems_and_services/the_big-data_revolution_in_us_health_care

http://www.theguardian.com/healthcare-network/2014/jan/17/big-data-nhs-predict-illness

http://www.ted.com/talks/joel_selanikio_the_surprising_seeds_of_a_big_data_revolution_in_healthcare

http://www.bizjournals.com/seattle/news/2014/02/12/big-data-in-health-care—not-yet-a.html?page=all

http://www.ihealthbeat.org/perspectives/2014/treating-the-small-cell-cancer-in-health-cares-big-data

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