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EHR Systems and Policy Management

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EHR Systems and Policy Management. James Williams – Ontario Telemedicine Network. Objectives:. Review policy constraints for EHR systems. Traditional approaches to policies in EHRs. CHI consent management architecture. Current research. Focus:. - PowerPoint PPT Presentation
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EHR Systems and Policy Management James Williams – Ontario Telemedicine Network
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Page 1: EHR Systems and Policy Management

EHR Systems and Policy Management

James Williams – Ontario Telemedicine Network

Page 2: EHR Systems and Policy Management

Objectives:1. Review policy constraints for EHR systems.2. Traditional approaches to policies in EHRs.3. CHI consent management architecture.4. Current research.

Page 3: EHR Systems and Policy Management

Focus:Policies pertaining to personal health

information. Policies may touch upon:

Consent directives.Acceptable uses.Permissible disclosure.Appropriate safeguards.Emergency overrides.Retention.

Page 4: EHR Systems and Policy Management

Sources of Policy:1. Statutes and regulations2. Case law3. Codes of conduct4. Corporate bylaws5. Professional guidelines / best practices6. First Nations Sovereignty

Page 5: EHR Systems and Policy Management

Statutes: PrivacyThe most important legislative instruments

are the various privacy and health information statutes.

Privacy legislation in Canada is based on a

set of fair information practices:1) Accountability 6) Accuracy2) Identifying purposes 7) Safeguards3) Consent 8) Openness4) Limiting collection 9) Individual access5) Limiting use, disclosure, retention.

10) Challenging compliance

Page 6: EHR Systems and Policy Management

Statutes:Establish a basic rule, and then add exceptions.

For example, express consent is generally required in order to disclose information to a third party. But:Emergency situations.Law enforcement.Public health.Eligibility for benefits.Risk to third party.

Page 7: EHR Systems and Policy Management

Statutes: Private sector privacy laws

Page 8: EHR Systems and Policy Management

Statutes: Health information laws

Page 9: EHR Systems and Policy Management

Statutes: additional laws Federal:

Statistics Act.Quarantine Act.

Provincial:Child Protection Act. Communicable Disease Act.Health Act.Worker’s Compensation Act.Mental Health Act.

Page 10: EHR Systems and Policy Management

Other sourcesCase Law:

Eg: Patient has right of access to their own health record. (McInerney v MacDonald).

Codes of Conduct:Eg: Canadian Medical Association, Health Information Privacy Code

(1998).

Corporate bylaws:Hospital policies and procedures.Municipal Information Acts.

Best PracticesCOACH Guidelines for the Protection of Health Information.

Page 11: EHR Systems and Policy Management

Sources: OCAPOwnership:

information is owned collectively by the Nation. Control:

the Nation retains control over all aspects of information management.

Access: the Nation has a right to manage and make

decisions regarding access to their collective information.

Possession: a mechanism to assert ownership.

Page 12: EHR Systems and Policy Management

The inter-provincial view:

Page 13: EHR Systems and Policy Management

Interoperability:

Page 14: EHR Systems and Policy Management

Some Issues:Custodians disclosing PHI are generally under a duty to

ensure that the receiving jurisdiction has ‘comparable safeguards’.

Patients may issue consent directives. Ontario imposes a ‘duty to notify’ receiving custodians about these.

Patients should be able to avail themselves of additional protections in the new jurisdiction.

Who now has control of the information?

Consent directives are also sensitive.

Page 15: EHR Systems and Policy Management

More issues:Even if we have a way to solve these issues,

one of the major problems is that laws (etc) are dynamic.

Page 16: EHR Systems and Policy Management

Challenge:How do we manage policies in a multi-EHR

setting?

Traditional route has been to either purchase COTS products, or to develop systems for a particular jurisdiction. (Hard coded business rules).

Page 17: EHR Systems and Policy Management

CHI’s Consent Directives Management SystemApplies constraints prior to providing access

or transmitting PHI. Allows consent directives at various levels

of granularity.Relies on common privacy vocabulary to

apply consent requirements. Can store with EHRi data, or in consolidated

form.

Page 18: EHR Systems and Policy Management

Processing Consent Directives in a Jurisdiction

1. Transfer consent directives from clinical applications to the EHR.

2. Let either the EHR or (sending clinical application) process consent directives prior to disclosing a patient’s PHI.

3. Transfer consent directives from EHR to clinical applications whenever PHI is disclosed from the EHR.

Want to avoid having too many consent directives management systems.

Page 19: EHR Systems and Policy Management

Interjurisdictional TransferConsent directives will be processed whether

an access request is received from a POS system, or clinical portal, or from an EHR in another jurisdiction.

Jurisdictions need to agree upon and set policies as to how consent directives made in one jurisdiction will be managed following disclosure to another.

A nationally adopted messaging schema is required for conveying consent directives between jurisdictions.

Page 20: EHR Systems and Policy Management

Interjurisdictional Transfer (2)Several goals must be achieved before policy

enforcement can be automated by a policy management service:Jurisdictional policies must be harmonized.Rules must be captured and codified.Special support for changes to rules.Common vocabultary.

Data containing consent directives may flow from one jurisdiction to another, but policy related data does not.

Page 21: EHR Systems and Policy Management

Can we do better?The inter-jurisdictional data transfer problem

is complex.Can we bring some technical tools to bear on

the problem?Representing policy rules.Operationalizing the representations.Storing and securing the representations.Managing the representations through their

lifecycle.Verification and validation.

Page 22: EHR Systems and Policy Management

Current work:There has been quite a bit of work on representing

policies and regulations.

L.Cranor, M. Langehreich, M. Marchiori, J. Reagle, The Platform for Privacy Preferences (P3P 1.0) Specification.

R. Agrawal, J. Kiernan, R. Srikant, Y. Xu, An Xpath based preference language for P3P.

N. Li, T. Yu, A.I. Anton, A semantics based approach to privacy languages. (2006)

Page 23: EHR Systems and Policy Management

Current WorkP. Ashley, S. Hada, G. Karjoth, C. Powers, M.

Schunter, Enterprise Privacy Authorization Language (EPAL 1.1).

A. Barth, J.C. Mitchell, J. Rosenstein, Conflict and combination in privacy policy languages (2004). (DPAL)

eXtensible Access Control Markup Language. (XACML)

Page 24: EHR Systems and Policy Management

Current WorkThe above frameworks provide a formalism to

specify data protection policy. They provide methods for evaluating and enforcing policies.

Drawback: they are built to manage policies within single organizations. (Guarda, Zannone, Toward the Development of Privacy Aware Systems, 2008)

Page 25: EHR Systems and Policy Management

Current WorkRecent efforts:

Extend XACML with algorithms addressing issue of policy similarities and integration across organizations. (Mazzoleni et al, XACML policy integration algorithms, 2008).

Distributed temporal logic. (Hilty et al, On obligations, 2005).

Privacy in Peer to Peer Networks. Automated policy enforcement. (Weber, Obry).


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