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Addressing Privacy and Security Concerns in Health Data Analytics. Deven McGraw, JD, MPH, LLM Partner Manatt, Phelps & Phillips, LLP

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Addressing Privacy and Security

C

i H lth D t A l ti

Concerns in Health Data Analytics

D

M G

JD MPH LLM

Deven McGraw, JD, MPH, LLM

Partner

Manatt, Phelps & Phillips, LLP

June 8 2014 June 8, 2014

(2)

Health “Big Data”

Health Big Data

Data analytics conducted by “traditional health care

t

” i

l t d b HIPAA

system” is regulated by HIPAA.

Health data (and data with health implications) collected,

Health data (and data with health implications) collected,

used and disclosed by consumer-facing and non-health care

system entities is not.

FTC has authority to address unfair or deceptive practices engaged in by for-profit companies; also enforce HITECH data breach notification for personal health record endors & related apps

notification for personal health record vendors & related apps.

Aim should be to support and build public trust in data

pp

p

analytics that advance the learning health care system.

(3)

How does HIPAA govern analytic uses of

g

y

data?

HIPAA

li

l t i di id ll id tifi bl h lth

HIPAA applies only to individually identifiable health

information – data that is “de-identified” per HIPAA

standards is not subject to any regulation

standards is not subject to any regulation.

“Limited Data Sets” (the close cousin to de-identified data)

(

)

are permitted for research; data holders are required to

execute data use agreements; individual consent typically not

i d

required.

We are familiar with research networks that rely on these

We are familiar with research networks that rely on these

data types – but not always ideal for all types of research

(4)

HIPAA & Analytics (cont )

HIPAA & Analytics (cont.)

Before fully identifiable information can be used for research

purposes, the patient’s authorization must be obtained

(currently authorization must be study specific – but Omnibus

rule allows for authorizations for future research as long as

rule allows for authorizations for future research, as long as

that future research is “sufficiently described”)

C b i d b P i B d IRB if diffi l b i

Can be waived by a Privacy Board or IRB if too difficult to obtain authorization, risk to privacy is considered to be low, and benefits are high

Some exceptions (review of data onsite in preparation for research, research on decedent’s info, and use of limited data set)

(5)

HIPAA & Analytics (3)

HIPAA & Analytics (3)

Uses and disclosures of identifiable health data for “health

care operations” do not require individual consent or

authorization

Includes conducting quality assessment and improvement activities, including outcomes evaluation and development of clinical guidelines; population-based activities relating to improving health or reducing population-based activities relating to improving health or reducing costs

However, if “obtaining of generalizable knowledge” is a primaryg g g p y purpose of these activities, it is considered “research” and not operations

(6)

The Common Rule

The Common Rule

Applies to federally funded research (or research in federally

pp

y

(

y

funded institutions) on identifiable data

I l d h l h

i

h

Includes health services research

Review of IRB (either full or expedited) required

Review of IRB (either full or expedited) required

Consent required, although can be waived if:

The research involves no more than minimal risk

The waiver will not adversely affect the rights & welfare of subjects

The research could not be practicably conducted w/out the waiver; and

When appropriate, subjects are provided with additional info afterWhen appropriate, subjects are provided with additional info after

(7)

The Common Rule (cont )

The Common Rule (cont.)

ANPRM sought comment on fairly significant changes

Research on data collected for clinical purposes but secondarily used for research purposes would be exempt from requiring IRB approval – one-two page registration of study with IRB/institution required

instead

If data are identifiable consent is required (but general consent would

If data are identifiable, consent is required (but general consent would suffice);

Rely on HIPAA for standards of identifiabilityRely on HIPAA for standards of identifiability

Require adoption of data security protections

Biospecimens collected for clinical purposes requires consent for

Biospecimens collected for clinical purposes – requires consent for research even if not identifiable

l

if/ h

d l

ill b i

d

(8)

Issues with Current Federal Legal Frameworks

g

Governing Health Data Analytics

Genuine confusion about application of the rules

l

i

i

i

f h

l

i

Overly conservative interpretation of the rules – in

most cases, HIPAA says “can” not “must”

Health services research often requires multiple sites

k

h

i ll

to work together – typically not easy

Data as an asset

Data holders have a legal responsibility to protect; variances in risk tolerance

(9)

Research vs Operations

Research vs. Operations

HIPAA

Health care operations includes “conducting quality assessment and improvement activities, including outcomes evaluation and

development of clinical guidelines, provided that the obtaining of p g , p g generalizable knowledge is not the primary purpose of any studies resulting from such activities.” (emphasis added) Also includes

“population-based activities relating to improving health or reducingpopulation based activities relating to improving health or reducing health care costs, and protocol development.

Research is a “systematic investigation, including research

development, testing, and evaluation, designed to develop or contribute to generalizable knowledge.”

(10)

Paradox

Paradox

Two studies using data for quality improvement purposes:

both use the same data points, are done to address the same

question or sets of questions, and are done by the same

i tit ti

Th

ill b

institution. They will be:

Treated as operations if the results are only intended to be used i ll

internally

Treated as research if a primary purpose is to share the results with others so that “learning” may occur

others so that learning may occur.

Guidance on “primary purpose” allows for a later change in plans – but initially you have to intend to be doing only operations y y g y p

How does this advance both the learning healthcare system

and protections for data?

p

(11)

Health IT Policy Committee (HITECH)

y

(

)

Comments to Common Rule ANPRM

f li i l d l f li d ffi h ld

Use of clinical data to evaluate safety, quality and efficacy should be treated like operations, even if the intent is to share results for generalizable knowledge, as long as provider entity maintains oversight and control over data use decisions.

Entities should follow the full complement of fair information

Entities should follow the full complement of fair information practices in using PHI for these purposes.

Recommendations provided some examples of activities with clinical data that should be treated as operations – but also

acknowledged further work was needed to determine a new line ac ow edged u t e wo was eeded to dete e a ew e for when analytics with EHR data should be treated under more robust rules.

Recommendation letter of 10/18/11 -

(12)

Potential Paths Forward

Potential Paths Forward

Increased focus on discriminatory/harmful uses (but don’t

Increased focus on discriminatory/harmful uses (but don t

ignore risks inherent in collection)

At least experiment with different frameworks for protecting

At least experiment with different frameworks for protecting

privacy in research using clinical data

Rely less on consent and instead pursue other models of patient

Rely less on consent and instead pursue other models of patient

engagement (e.g., input into research; greater transparency re: research uses of data; requirements to share results with patients)

Mechanisms of accountability/oversight (Canadian model (PHIPA),

voluntary research network governance models, accreditation)

Incentives to pursue privacy-enhancing data sharing architectures

Study their efficacy in building and maintaining public trust in

research research.

(13)

Questions?

Questions?

Deven McGraw

(202) 585 6552

(202) 585-6552

[email protected]

References

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