RFID Tags for Nurses, then Everybody?

The recent City of Ontario v. Quon decision has had a mixed reception among privacy advocates. Though many are disappointed that employees’ privacy rights have once again been narrowed, some have discerned helpful dicta in the case. However, I worry that, whatever the drift of thought among swing justices, economic imperatives and cultural shifts will mean a lot less privacy in the workplace of the future. Health care in particular offers a few interesting bellwethers.

As an opinion piece by Theresa Brown explains, maintaining proper staffing levels in hospitals is becoming increasingly difficult. Surveillance systems are offering one way to address the problem; work can be performed more intensively and efficiently as it is recorded and studied. But such monitoring has many troubling implications, according to Torin Monahan (in his excellent book, Surveillance in a Time of Insecurity):

The tracking of people [via Radio Frequency Identification Tags] represents a . . . mechanism of surveillance and social control in hospital settings. This includes the tagging of patients and hospital staff. . . . When administrators demand the tagging of nurses themselves, the level of surveillance can become oppressive. . . . [because nurses face] labor intensification, job insecurity, undesired scrutiny, and privacy loss. . . . To date, such efforts at top-down micromanagement of staff by means of RFID have met with resistance. . . . One desired feature for nurses and others is an ‘off’ switch on each RFID badge so that they can take breaks without subjecting themselves to remote tracking. (122)

Like the “nannycam” employed by many a wary parent, the nurse-cam may be seen as a way to protect the vulnerable. It may also increase the accuracy of evidence in malpractice cases. On the other hand, inserting a tireless electronic eye to monitor what is already an extremely stressful job may create many unintended consequences, or deter people from going into nursing altogether. Even advocates of pervasive surveillance recognize these difficulties.

The increasing pressure to monitor what happens inside hospitals reminds me of a recent article by Thomas Goetz in Wired (no link yet) on Google co-founder Sergey Brin’s quest to find a cure for Parkinson’s disease. As Goetz describes it, a new form of “high-speed science” depends on rapid accumulation of as much data as possible:

In Brin’s way of thinking, each of our lives is a potential contribution to scientific insight. We all go about our days, making choices, eating things, taking medications, doing things—generating what is inelegantly called data exhaust. . . . With contemporary computing power, that data can be tracked and analyzed. “Any experience that we have or drug that we may take, all those things are individual pieces of information. Individually, they’re worthless, they’re anecdotal. But taken together they can be very powerful.” In computer science, the process of mining such large data sets for useful associations is known as a market-basket analysis.

Goetz has promoted this as a new way to “do science in the petabyte age.”
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LoJacking Grandma and “Reality Mining,” or “Daddy, What was Anonymity?”

photo by mrsmartino via flickr

Mark Heftler, a geriatric care manager who is slated to begin study at Seton Hall Law in the Fall, has written an interesting article on RFID (Radio Frequency Identification) and its potential usage as a means of  early diagnosis of dementia among the elderly. Researchers at the University of South Florida have developed and tested an RFID technology which assesses the walking patterns of those which it monitors.

By monitoring the movements of the elderly within geriatric facilities, “the researchers hope to be able to diagnose the onset Alzheimer’s in their patients. Sudden veers, long pauses, and a tendency to wander are all indicators of dementia.”

As MIT’s Technology Review notes, “Drugs that are currently available can only slow the progression of related diseases, so the earlier dementia is caught, the better a patient’s treatment will be.”

Technology Review also notes, “In particular, dementia increases the risk of injury caused by a fall… ‘That’s a huge problem for assisted-living facilities,’” said  William Kearns, an assistant professor who researches aging and mental health at USF.

Not Just Grandma

Although one can readily see the positive cost/benefit and quality of life implications of warding off the falls of the elderly, as Frank Pasquale recently noted on both this blog and Concurring Opinions, the proliferation of “personal” electronic data is not without its danger.

The Technology Review article provides a link to another article which points out that RFID technology is also being harnessed to gather social networking information through what is referred to as “reality mining,”

“…a field that Tanzee­m Choudhury pioneered as a PhD student at the MIT Media Lab. Working at Intel after graduation, she created a pager-size sensor pack–loaded with software plus microphones, accelerometers, and other data-gatherin­g devices–to collect and analyze data about human interactions and activity. For instance, by processing verbal utterances, she can identify the most influential people in a social network.

Now an assistant professor of computer science at Dartmouth, Choudhury is conducting experiments with the sensor-laden iPhone. Within a few years, she says, simple versions of her software could be available for cell phones.”