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El ‘big data’ de Especializada arrancará en 2016

El ‘big data’ de Especializada arrancará en 2016 | Big Data Healthcare | Scoop.it
La puesta en marcha será escalonada y se prolongará durante un lustro
Sílvia Cordomí's insight:

El Registro de Actividad de Atención Sanitaria Especializada, aprobado este viernes por el Consejo de Ministros, arrancará el 1 de enero de 2016, según refleja el real decreto que ha publicado el Ministerio de Sanidad en el Boletín Oficial del Estado. El plazo de inicio de este ‘big data’ será escalonado y se prolongará hasta 2020.
Los primeros datos que se inscribirán serán los de hospitalización y cirugía ambulatoria de los hospitales generales y especializados de agudos, públicos y privados, a partir del 1 de enero del próximo año. El mismo día, pero de 2017, comenzará la fase de registro de la hospitalización de media y larga estancia y de salud mental y tratamiento de toxicomanías, y ya no será hasta 2018 cuando se metan los contactos de los procedimientos ambulatorios de alta complejidad, los de hospital de día, la hospitalización domiciliaria y las urgencias de los hospitales públicos generales y especializados.

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Computerized cognitive training interventions to improve neuropsychological outcomes: evidence and future directions

Computerized cognitive training interventions to improve neuropsychological outcomes: evidence and future directions | Big Data Healthcare | Scoop.it

Age-related cognitive decline is common and may affect memory, orientation, attention, abstract thinking and perception, which may lead to substantial difficulties and disabilities in everyday life. Much evidence suggests that computerized cognitive training interventions may mitigate decline by improving neuropsychological outcomes in older adults, but there is clearly a need for large-scale, methodologically rigorous comparative effectiveness trials in the area. This article underscores that need and reviews eight trials that met a set of predetermined criteria before highlighting two novel and complementary analytic methods - big data analytics and network meta-analysis - that may be used to facilitate decisions regarding which cognitive training programs should serve as candidate interventions for large comparative effectiveness trials.

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Big data: enabling the future of healthcare

Big data: enabling the future of healthcare | Big Data Healthcare | Scoop.it
By collecting patient data, clinicians can use predictive analytics to prevent potentially deadly conditions, says Anthony Jones
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Fitbit Announces Three New Wearables, Including a Fancy 'Super Watch' | WIRED

Fitbit Announces Three New Wearables, Including a Fancy 'Super Watch' | WIRED | Big Data Healthcare | Scoop.it
Fitbit, one of the predominant players in today's increasingly saturated fitness tracking space, today announced a trio of wearables of the wrist-worn variety.
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La eSalud que queremos: Los beneficios de la tecnología Big Data para la eSalud

La eSalud que queremos: Los beneficios de la tecnología Big Data para la eSalud | Big Data Healthcare | Scoop.it
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7 ways Big Data could revolutionize our lives by 2020 [Infographic] | SiliconANGLE

7 ways Big Data could revolutionize our lives by 2020 [Infographic] | SiliconANGLE | Big Data Healthcare | Scoop.it

#Bigdata to revolutionize our lives 


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Wearable Technology That Feels Like Skin

Wearable Technology That Feels Like Skin | Big Data Healthcare | Scoop.it
There is an emerging class of computers that adhere to the skin like temporary tattoos, or attach to the body like an old-fashioned Band-Aid.
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Will iBeacons Change The Way We do Business?

Will iBeacons Change The Way We do Business? | Big Data Healthcare | Scoop.it
Will iBeacons Change The Way We do Business? http://t.co/BGwLEsgNkh #ibeacons #infographic http://t.co/KQ1BghgFt2
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Panasonic unveils pin-sized battery for wearables - Computerworld

Panasonic unveils pin-sized battery for wearables - Computerworld | Big Data Healthcare | Scoop.it
Power-sipping wearable devices could become smaller with a new rechargeable battery from Panasonic.
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The evolution of IBM’s Watson and where it’s taking healthcare | mobihealthnews

The evolution of IBM’s Watson and where it’s taking healthcare | mobihealthnews | Big Data Healthcare | Scoop.it

IBM’s Watson, a cognitive computing system originally designed to vanquish human competitors on Jeopardy in 2011, has been winding its way into more and more healthcare and health-related use cases. But like most novel technologies, a number of people still don’t understand exactly what Watson is or does — or what IBM’s roadmap for the technology is. On the sidelines of the Health 2.0 event in Santa Clara, California last week, MobiHealthNews sat down with John Wolpert, product manager for IBM’s Watson Ecosystem, to answer some of these questions.


Via Ignacio Fernández Alberti
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Big Data: The Management Revolution

Big Data: The Management Revolution | Big Data Healthcare | Scoop.it
Business management magazine, blogs, case studies, articles, books, and webinars from Harvard Business Review, addressing today's topics and challenges in business management.
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Examining the potential of big data to transform health care

Examining the potential of big data to transform health care | Big Data Healthcare | Scoop.it
Back in 2011, rheumatologist Jennifer Frankovich, MD, and colleagues at Lucile Packard Children’s Hospital Stanford used aggregate patient data from e (Examining the potential of big data to transform health care http://t.co/wR2DydeabO...
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Using Big Data to Audit Access to Patient Data and Beyond

Using Big Data to Audit Access to Patient Data and Beyond | Big Data Healthcare | Scoop.it
Healthcare Informatics Magazine | Health IT | Information Technology,Health care information technology & IT strategy news for CIOs, CMIOs & clinical informaticists. Learn about EMR EHR, ARRA HITECH, wireless technologies & meaningful use policy. Articles on patient safety, point-of-care tech & HIE analysis. Electronic medical records, health information exchange networks & hospital administration – financial – imaging news. Ambulatory care and business management info. Free Webinars and industry conferences.
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Wearables to Become Invisible by 2017? | Augmented Reality Trends

Wearables to Become Invisible by 2017? | Augmented Reality Trends | Big Data Healthcare | Scoop.it
Wearable technology has progressed steadily in the last few years and as the growth continues, we can expect a future where the smart wearables will no longer

Via Peter Azzopardi
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Peter Azzopardi's curator insight, December 12, 2014 6:19 PM

Gartner says that by 2018, more than 25 million head mounted displays are expected to be sold as immersive devices. Virtual world which is now at the fringes will become mainstream with the sale of these HMDs (Head Mounted Displays).

 

Guest post: Thanks to @augmentedrealitytrends for the scoop

Justine Bauche's curator insight, December 13, 2014 8:58 AM

Wearable technology has progressed steadily in the last few years and as the growth continues, we can expect a future where the smart wearables will no longer

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Intel Turns to Wearables, Big Data to Fight Parkinson's

Intel Turns to Wearables, Big Data to Fight Parkinson's | Big Data Healthcare | Scoop.it
Medical researchers today have only a rudimentary understanding of how Parkinson's disease progresses in patients. In collaboration with the Michael J.
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What is iBeacon: An Animated Guide

Who said learning about technology isn't fun and entertaining? We created this video http://youtu.be/lwnmx-5mBLM to demonstrate not only how iBeacon works bu...
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UK trailing the rest of the world in wearable tech adoption

UK trailing the rest of the world in wearable tech adoption | Big Data Healthcare | Scoop.it
A new report, commissioned by The Workforce Institute at Kronos, has examined the difference in perception and use of wearables across the globe,...
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American Healthcare: The Startups are Coming

American Healthcare: The Startups are Coming | Big Data Healthcare | Scoop.it
A look at how startups are attempting to disrupt the huge US healthcare industry.
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'Instagram for doctors' takes off

'Instagram for doctors' takes off | Big Data Healthcare | Scoop.it

An app which enables healthcare professionals to share photos is to be rolled out across western Europe by the end of the year.


The app was designed to enable doctors to share pictures of their patients, both with each other and with medical students.


So far, more than 150,000 doctors have uploaded case photos with the patient's identity obscured.


However, some experts have expressed concern about patient confidentiality.


Patients' faces are automatically obscured by the app but users must manually block identifying marks like tattoos.


Each photo is reviewed by moderators before it is added to the database.


more at: http://www.bbc.com/news/technology-29521986



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Wearables will interact with IoT to create new experiences!

Wearables will interact with IoT to create new experiences! | Big Data Healthcare | Scoop.it
The Apple Watch release in early 2015 will set the stage for wider enterprise adoption of wearables. Are you ready?

Via Eric_Determined / Eric Silverstein
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Eric_Determined / Eric Silverstein's curator insight, October 6, 2014 11:13 PM

JP Gownder @Forrester provides key insight into what we should expect across new #wearables:


1) Access

2) Navigation

3) Payments


Apple should help with greater exposure, but new companies such as @Nymiband and others are looking to carve out a share of the new customer experiences these devices will offer.


Which functionality would you like to have on your future wearable?



Roberto Nocera's curator insight, October 15, 2014 4:26 PM

preparing the next tech wave about wearables.  New frontier for the customer experience #cxm #wearable #customerexperience #iot

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Big DATA: Creating the Elixir of Life…

Big DATA: Creating the Elixir of Life… | Big Data Healthcare | Scoop.it
Following the development of data sciences and the hype around Big DATA’s potential to solve major problems in particular in medicine I wonder if data scientists will become the modern alchemists?Do
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Key Insights on Wearable Tech Marketing | alistdaily

Key Insights on Wearable Tech Marketing | alistdaily | Big Data Healthcare | Scoop.it

Throughout this year, we've seen a surge in wearable tech, to the point that it's even managed to eclipse smartphones and tablets (at least, in PR impact) at various electronic shows over the past few months.

 

However, there's certain care that needs to go into how it's being marketed, according to a new report titled "Wearables: 10 Insights on Device Adoption and Business Opportunities," compiled by eMarketer.

 

International Data Corporation's projections indicate that wearable device shipments will triple in number throughout the remainder of this year, with 19.2 billion units shipped worldwide. However, there are two things that keep the enthusiasm at bay....


Via Jeff Domansky
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Jeff Domansky's curator insight, October 5, 2014 8:26 AM

When it comes to marketing wearable tech, execs should choose better engagement over interaction, according to a new report.

Jeff Domansky's curator insight, October 5, 2014 8:30 AM

When it comes to marketing wearable tech, execs should choose better engagement over interaction, according to a new report.

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Do telemonitoring projects of heart failure fit the Chronic Care Model?

Do telemonitoring projects of heart failure fit the Chronic Care Model? | Big Data Healthcare | Scoop.it
Sílvia Cordomí's insight:
This study describes the characteristics of extramural and transmural telemonitoring projects on chronic heart failure in Belgium. It describes to what extent these telemonitoring projects coincide with the Chronic Care Model of Wagner.Background: The Chronic Care Model describes essential components for high-quality health care. Telemonitoring can be used to optimise home care for chronic heart failure. It provides a potential prospective to change the current care organisation.Results: The projects were situated in primary and secondary health care. Their primary goal was to reduce the number of readmissions for chronic heart failure. None of these projects succeeded in a final implementation of telemonitoring in home care after the pilot phase. Not all the projects were initiated to accomplish all of the dimensions of the Chronic Care Model. A central role for the patient was sparse.Conclusion: Limited financial resources hampered continuation after the pilot phase. Cooperation and coordination in telemonitoring appears to be major barriers but are, within primary care as well as between the lines of care, important links in follow-up. This discrepancy can be prohibitive for deployment of good chronic care. Chronic Care Model is recommended as basis for future.
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Managing, Analysing, and Integrating Big Data in Medical Bioinformatics: Open Problems and Future Perspectives

Managing, Analysing, and Integrating Big Data in Medical Bioinformatics: Open Problems and Future Perspectives | Big Data Healthcare | Scoop.it
Sílvia Cordomí's insight:

The explosion of the data both in the biomedical research and in the healthcare systems demands urgent solutions. In particular, the research in omics sciences is moving from a hypothesis-driven to a data-driven approach. Healthcare is additionally always asking for a tighter integration with biomedical data in order to promote personalized medicine and to provide better treatments. Efficient analysis and interpretation of Big Data opens new avenues to explore molecular biology, new questions to ask about physiological and pathological states, and new ways to answer these open issues. Such analyses lead to better understanding of diseases and development of better and personalized diagnostics and therapeutics. However, such progresses are directly related to the availability of new solutions to deal with this huge amount of information. New paradigms are needed to store and access data, for its annotation and integration and finally for inferring knowledge and making it available to researchers. Bioinformatics can be viewed as the "glue" for all these processes. A clear awareness of present high performance computing (HPC) solutions in bioinformatics, Big Data analysis paradigms for computational biology, and the issues that are still open in the biomedical and healthcare fields represent the starting point to win this challenge.

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