[Kip
Currier: This article--and case study about the upshots and downsides
of employers' use of personal health data harvested from their
employees' wearable devices--is a veritable "ripped from the headlines"
gift from the Gods for an Information Ethics professor's discussion
question for students this week!...
What are the ethics issues?
Who are the stakeholders?
What ethical theory/theories would you apply/not apply in your analysis and decision-making?
What are the risks and benefits presented by the issues and the technology?
What are the potential positive and negative consequences?
What are the relevant laws and gaps in law?
Would you decide to participate in a health data program, like the one examined in the article? Why or why not?
And
for all of us...spread the word that HIPAA does NOT cover personal
health information that employees VOLUNTARILY give to employers. It's ultimately your decision to decide what to do, but we all need to be aware of the pertinent facts, so we can make the most informed decisions.
See the
full article and the excerpt below...]
"Many consumers are under the mistaken belief that
all health data they share is required by law to be kept private under a
federal law called HIPAA, the Health Insurance Portability and
Accountability Act. The law prohibits doctors, hospitals and insurance
companies from disclosing personal health information.
But
if an employee voluntarily gives health data to an employer or a
company such as Fitbit or Apple — entities that are not covered by
HIPPA’s [sic] rules — those restrictions on disclosure don’t apply,
said Joe Jerome, a policy lawyer at the Center for Democracy &
Technology, a nonprofit in Washington. The center is urging federal
policymakers to tighten up the rules.
“There’s gaps everywhere,’’ Jerome said.
Real-time
information from wearable devices is crunched together with information
about past doctors visits and hospitalizations to get a health snapshot
of employees...
Some companies also add
information from outside the health system — social predictors of
health such as credit scores and whether someone lives alone — to come
up with individual risk forecasts."