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HIE as an Engineered System 
Navigating the HIE Labyrinth
Mark Frisse
Redwood MedNet
25‐July 2013
Topics
1. The current state of EMRs & HIE
2. The policy labyrinth
3. Engineered systems for policy
The Current State of EMRs & HIE
Part 1
Percentofphysicianswithcapability
Percent who use capability routinely (of those with capability)
Record notes
Demographics
eRx
Meds & allergies
Problem lists
Summaries for patients
View quality measures
Record for patients
Guideline-based reminders
Small offices lag in adoption. Actual office‐based use varies
Source : Hsiao C et al. Health Aff doi:10.1377/hlthaff.2013.0323
‐‐36%  (2‐5 MD)
‐‐ 44%  (6‐10 MD)
‐‐ 58% ( > 10 MD) ‐
©2011 by Project HOPE - The People-to-People Health Foundation, Inc.
Source: Buntin et al. Health Affairs. 2011;30:464‐471.
Authors’ analysis of published peer‐reviewed studies. NOTE A total of 278 outcome measures were evaluated across all 
studies included in our final sample.
Studies  of HIT benefits are generally favorable 
So why isn’t everyone satisfied?
Perhaps EMRs aren’t meeting clinicians’ real needs
Physicians want their EMRs to:
• Routinely confer immediate, dramatic clinical benefits
• Save them time
• Lower their costs
• Increase their revenues
• Mitigate medical & legal risk
• Eliminate administrative coding & other non‐clinical work
• Bring knowledge to bear to make them seem smarter
• Require absolutely no change in behavior or office culture
• Serve as effective communication devices
EMRs must manage at least 3 different “businesses”
1. EMRs support problem solving and care planning
2. EMRs monitor care processes 
3. EMRs communicate across organizational boundaries
Sources: Stabell CB, Fjeldstad ØD. Strategic Management Journal. 1998
Hwang J, Christensen CM. Health Affairs..
EMRs help coordinate and monitor care in hospitals
A B C D
Ambulatory EMRs can’t communicate to coordinate
A
B
C
D
?
Medicare beneficiaries see at least five different clinicians
and many more pharmacists, therapists, and other clinicians.
source: Pham, H.H., et al., Care patterns in Medicare and their implications for pay for performance. N Engl J Med, 2007. 356(11): p. 1130‐9.
Health information exchange brings EMRs together
A
B
C
D
Data are made available to those who require access
Can state exchanges do this job?
43 states and territories have directed exchange
• 79,957,695 directed exchange messages*
20 states have statewide query‐based exchange
• 2,794,705 patient queries
Only 4 states and 4 territories report not having any directed or 
query‐based exchange
* Q3 2012 Data
source: Daniel J, Fridsma D. ONC Program Update: Health IT Policy Committee Meeting. January 8, 2013
Tripathi: Only a few state HIE programs may be ready to do so
Fortunately, HIE is maturing
Tripathi, M. The Current State of HIE. Presented to HITSC/HITPC Public Hearing on Health Information Exchange. January 29, 2013. 
http://www.healthit.gov/sites/default/files/currentstatehie_hearing012913.pdf
Regional HIE as a collection of “enterprise HIE” relationships
Direct
or other
HIE services
Frisse’s Hunch:
• A number of “hub & spoke” HIE efforts
formed as a result of partnerships, 
ACO or CIN relationships
• Some MDs will belong to multiple clouds
• Some MDs communicate only via Direct
Health plans’ position is advantageous
Source: Alphin M (KLAS). Accountable Care Payers: Partners in a Changing Paradigm. 2013
The EMR & HIE Landscape is changing
Part 1: CONCLUSION
The Labyrinth of Policy & Technology
Part 2
Governance: Early regional models were difficult to govern
Few options
• Global or institutional opt‐out
• Progressive opt in
• Repudiation & referential integrity
• Use limited to support direct patient care
• Anti‐trust concerns when cost or quality efforts are 
considered
• Challenging to finance and govern advanced use where 
members use HIO data not only to provide care but also to 
compete with one another.
Tech: Direct messages can lead to asymmetries & redundancies
A B C D E F G
A
B
C
D
E
F
G
FROM
TO
A ‐> A,B,C
C [not] ‐> A
B ‐> {All}
{A,B,C,E,G} ‐> B (1 copy only)
D ‐> B (> 1 copy)
F ‐> B (> 1 copy)
G ‐> D
D [not] ‐>G
Privacy: Today, everyone has to PAY ATTENTION
10 years ago – Few really affected
• HIPAA focused on notification of privacy practices
• Most institutional policies not aligned with NHIN / HIE aims
• External audits were infrequent and cumbersome
• HISPC as an intellectual exercise
Today
• Everyone is affected
• All access and privacy policies must be aligned
• Legal and administrative costs of enforcing Omnibus rule and 
MU may be on par with costs of enforcing original HIPAA
HIPAA cost estimates (AHA): $670,000 to $3.7 million per hospital
Kilbridge, P. The Cost of Enforcing HIPAA. NEJM 348;15, 1423‐1424. 2003
Policy: The entire “policy pipeline” must be considered
CONSENT:
‐ Context
‐ Information
‐ Roles
‐ Relationships
‐ Terms
USE:
‐ Context
‐ Information
‐ Roles
‐ Relationships
‐ Terms
{A} {B}
Institution
Policies
Contracts State Law Federal Law
Our goal is ensure that {B} conforms to expectations set forth in {A}
Policy: Logical consistency or practicality is elusive in some areas
Authorization
Authentication
Consent
Use
Provenance
Re‐transmission
Cash payments
Inconsistent ontologies
Sometimes one cannot create consistent logical models for 
authorization or access controls. 
When models can be created uniform policy enforcement cannot 
be guaranteed 
Many formidable technical & policy issues
Part 2: CONCLUSION
Policy as Engineered Systems
Part 3
Formal
Policy 
Models
Formal
Policy 
Models
Explicit policy modeling doesn’t always work
27
Policies Generated
Code
Read
and 
Understand Read
Formal
Policy 
Models
Think Write
Policies
Read
and 
Understand
Think
Policies
Read
and 
Understand Think
We seek a single record and a single coordinated care plan
measurable
outcomes
a single, personalized plan of care for the individual
We could engineer a system and try to fit to policies
We could create an unambiguous system for the majority of 
instances through systems engineering.
The process:
• Explore the barriers, face the inconsistencies
• Take an explicit position
• Create and implement a system
• Asses its performance; examine the trade‐offs
• Revise and test again
We use the same logic to dictate specific required acts and roles. 
After providing access, systems advise on what to do
We are attempting to do this through PolicyForge
We begin with an explicit use case, not the policies
31
Begin with 
Use Cases
Begin with 
Use Cases
Markup and 
Summarize 
relevant 
Policies
Markup and 
Summarize 
relevant 
Policies
Model
•Ontologies
•Policies (sets)
•Use Cases
Model
•Ontologies
•Policies (sets)
•Use Cases
Verify & 
Validate
Policy 
Contradictions and 
Entailment
Use Case Execution
Verify & 
Validate
Policy 
Contradictions and 
Entailment
Use Case Execution
Export
(EHR, HIE, 
etc.)
Export
(EHR, HIE, 
etc.)
Define 
Policy 
Modeling 
Language
Match 
Ontologies
Anchor 
Language 
Semantics
Modeling Privacy Aware Health Information Exchange Systems
Andras Nadas, Mark E. Frisse, and Janos Sztipanovits
International Workshop on Engineering EHR Solutions (WEES), October 2012.
We model federal, state, institutional, ACO, and other 
relevant business policies
Consider an engineered systems approach
Part 3: CONCLUSION
Summary Remarks
Finally
We are in an era of unparalleled opportunity
New technologies are being introduced at an unparalleled rate
Our workflows and technologies are not coordinated
Our “markets” are immature (“buyer” – “seller” mismatch)
Our reimbursement systems are schizophrenic
Incentives are misaligned
HIE will remain a patchwork for the foreseeable future
Business relationships and consumer engagement will drive the 
process
The near‐term outcome is uncertain

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