Tons of app health data, bound for…third parties?

August 5, 2014 | by
[grow_thumb image=”https://telecareaware.com/wp-content/uploads/2013/04/obey_1984.jpg” thumb_width=”150″ /] The law of unintended consequences also applies to Quantified Selfers. Health apps seem to be reaching beyond the QS early adopters and becoming a commonplace, whether on your wrist or built into your smartphone. Apple, Google, IBM and Samsung are all in.The DH3 set (Digital Health Hypester Horde) could not be more pleased. But where is that data going? According to the US Federal Trade Commission (FTC), it’s ending up where your online data goes–profitably sold by developers large and small to your friendly data broker and onward to marketers. You may think it’s private, but it isn’t. There is the famous case of an Target (store) app used to determine whether female customers were pregnant (purchases such as pregnancy tests) and then market related and baby products to them. Commissioner Julie Brill doesn’t like the possibility that health data could be part of the Spooky Monster Mash that is Big Data. “We don’t know where that information ultimately goes,” Brill told a recent Association for Competitive Technology panel. “It makes consumers uncomfortable.” (Ahem!) From the consumer protection standpoint, the FTC would like to do something about it, and they happen to be very good at that type of regulation. Compliance will not only be an added cost of doing business, it will cut into that ol’ business plan. And you thought that the only problem around apps and the Feds was gauging risk to users. Do you have that creepy ‘Big Brother is Watching You’ feeling?  Health IT Outcomes, FierceMobileHealthcare, VentureBeat.

Big Data – Royal Society of Medicine 5th June

May 14, 2014 | by

Finding the needles in an ever bigger health information haystack – that’s what the latest RSM conference on 5th June is all about.

There is now a mass of data in the NHS accumulated over the past 60 years about health, its delivery, and increasingly about the individual characteristics, personal health and genetic data of individual and massed patients. The novelty is that this data can now be linked up with data from ever more disparate sources to give answers to questions that only yesterday we could barely conceive.

We have access to a vast data volume, faster, and in increasingly varied ways. We have more papers about how to manage it and more tools. Where are the experts? We have moved rapidly from bytes to gigabytes, and now Petabytes (and soon evenbiggerbytes) of data held by health systems about people.

But how can we use this data rationally? How can Big Data analytics help? (more…)

Big data in heart failure detection gets $2 million grant

October 11, 2013 | by

One part of the US government that hasn’t gone silent is the National Institutes of Health (NIH) which announced yesterday a $2 million research grant to IBM, Sutter Health and Geisinger Health System to jointly develop data analytics tools to help primary care physicians detect heart failure sooner. This will analyze EHR data to determine the patterns that may be indicative of a person at high risk–and investigate more effective early intervention. Big data sets sights on heart disease (HealthcareITNews)

Toward a better understanding of US care models

May 16, 2013 | by

HIMSS’ publishing arm, which has grown to several publications including ones we cite frequently, such as HealthcareITNews and GovernmentITNews, is launching an online site, Future Care, that will focus solely on “new and innovative models of care that improve individual and community well-being, while also reducing healthcare costs.” It has original material plus pickups from HIMSS Media’s other publications, and is supported by IBM’s Smarter Care initiative. (Related to its Smarter Cities initiative and telecare in Bolzano?) The current selection focuses on whether  ACOs are set up to fail (Center for Connected Health’s Dr. Joseph Kvedar rebuts Clayton Christensen and colleagues in the WSJ), outpatient care, readmissions and the utilization of big data. Of note is Merck Vree Health’s mHealth post-discharge care management program, TransitionAdvantage, which represents a change from its initial focus on diabetes management. There’s also the expected helping of IBM-related content including Watson and some IBM white papers. For designers and implementers seeking a better understanding of care and payer models for health tech workflow, this site pulls together a wide scope of information.

IBM discovers telecare as “Solutions for an Aging Population”

March 27, 2013 | by | 6 Comments

IBM, along with its ad agency Ogilvy, produced this four-minute, expensively produced ‘ad-doc’ (umentary) on the trial of (drum roll) a remote monitoring technology for elder care in Bolzano, Italy as part of their Smarter Cities initiative. Yes, it’s telecare, brushed up, dressed in blue and looking spanking new again! The story of Zita, a elderly woman and seamstress who lives in a lovely apartment in a hill town your Editor wouldn’t mind moving to, is the exemplar of both Italy’s growing aging population (23.5 percent are over 65) and how to accomodate both the older person living at home to ease the hard realities of aging cost impacts on local social services. IBM’s system and sensors (blue sensor box perched on the refrigerator at 2:34) appear to be unique in design. The rest will sound familiar. At about 3:00, “The sensor’s job is to recognize any abnormalities you can understand if someone could show signs of illness and eventually send an alarm to social services personnel.” Even the malapropism on the sensors recognizing abnormalities (see the web platform graphing at 3:14) and Nicola Palmarini of IBM’s remark “Preventing events means we avoid catastrophic events–dangerous for people…” were features/benefits your Editor worked with for QuietCare back in 2006-7. There’s nothing really new here except that IBM is trying what Care Innovations, HealthSense and GrandCare already have. But will IBM’s backing of telecare, which has been largely sidetracked to assisted living in the US and pushed to the side by consumer mobile health and apps, gain a new lease on life? Can we hope? Or are we back to the Same Old Struggle? Adweek article on IBM’s ad-doc.

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