reasons why health data is poorly integrated today and what we can do about it

Reasons Why Health Data is Poorly Integrated Today and What We Can Do About It

3rd Annual OSEHRA SummitShahid N. Shah

Chairman of OSEHRA Advisory Board

www.netspective.com 2

This and many of my other presentations are available at

www.SpeakerDeck.com/shah

@[email protected]

www.ShahidShah.com

mailto:[email protected]

http://www.shahidshah.com/

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Who is Shahid?• Chairman, OSEHRA Board of Advisors• 20+ years of software engineering

and multi-discipline complex IT implementations (Gov., defense, health, finance, insurance)

• 12+ years of healthcare IT and medical devices experience (blog at http://healthcareguy.com)

• 15+ years of technology management experience (government, non-profit, commercial)

Author of Chapter 13, “You’re the CIO of your

Own Office”

http://healthcareguy.com/

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What’s this talk about?Background• Many enterprise apps are

being built these days, most are designed to work as a stand alone system similar to consumer apps

• Healthcare-specific software engineering and integration tools are going to do more harm than good (industry-neutral is better).

Key takeaways• Any enterprise app which acts like

a consumer app that doesn’t integrate well into hospital or ambulatory systems and workflows is doomed

• There’s nothing unique about health IT data that justifies complex, expensive, or special technology.

• There’s a lot unique about healthcare workflows that require common technologies to be adapted properly.

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Application focus is biggest mistake

Application-focused IT instead of Data-focused IT is causing business problems.

Healthcare Provider Systems

Clinical Apps

PatientApps

BillingApps

LabApps

Other Apps

Partner Systems

Silos of information exist across groups (duplication, little sharing)

Poor data integration across application bases

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NCIApp

NEIApp NHLBI

AppHealthcare Provider Systems

Clinical Apps

PatientApps

BillingApps Lab

Apps Other Apps

Master Data Management, Entity Resolution, and Data Integration

Partner Systems

Improved integration by servicesthat can communicate between applications

The Strategy: Modernize Integration

Need to get existing applications to share data through modern integration techniques


Why do health IT systems integrate poorly?


Because customers don’t know how to effectively punish vendors that don’t integrate well.But, that’s changing. Slowly.


Because apps developers don’t have a systems engineering culture where we think of data integration as a discipline our customers will buy.But, that’s changing. Slowly.


Because we want to wait for others to create a new standard or magical API that makes integration problems disappear.But, that’s changing. Slowly.

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The tactical issues• We don't support shared

identities, single sign on (SSO), and industry-neutral authentication and authorization

• We're too focused on "structured data integration" instead of "practical app integration" in our early project phases

• We focus more on "pushing" versus "pulling" data than is warranted early in projects

• We have “Inside out” architecture, not “Outside in”

• We're too focused on heavyweight industry-specific formats instead of lightweight or micro formats

• Data emitted is not tagged using semantic markup, so it's not securable or searchable by default

• When health IT systems produce HTML, CSS, JavaScript, JSON, and other common outputs, it's not done in a security- and integration-friendly manner

So what do we do?And now…


Unused data never gets better.Fix broken windows.

Iterate your way to better data by forcing its use.

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Legacy integration

Application A

Data

Functionality

Presentation

Feature Y

Feature X

Application B

Data

Functionality

Presentation

Feature Y

Feature X

Feature Z

Copy features and enhance (everything is separate)

Application A

Data

Functionality

Presentation

Feature Z

Feature X

Application B

Data

Functionality

Presentation

Feature Y

Feature X

Feature Z

Connect directly to existing data, but copy features and enhance

DB

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Services

Modern integration

Application A

Data

Functionality

Presentation

Feature Y

Feature X

Application B

Data

Functionality

Presentation

Feature Y

Feature X

Feature Z

Create API between applications, integrate data, create new data

Application A

Data

Functionality

Presentation

Feature Z

Feature X

Application B

Data

Functionality

Presentation

Feature Y

Feature X

Feature Z

DB

Create common services and have all applications use them

RESTSOAP, RMI

SOA

ETL

WOA

APIs


Create a formal Enterprise Integration Group (EIG)Even get a cool logo and team mascot.


Start cataloging and formalizing use of enterprise integration patterns.You’re not the first (or second) to see these problems.


Learn about ESB, ETL, and BPM – grab open source or commercial implementations and build around them.Don’t hand code things.


Create a technical profile questionnaire and checklistDon’t hand code things.


Lets see what all of this looks like in practice.You can do this in less than 40 man-hours of work.

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Start with read-centric integration, move to enrichment later

Where users spend time What they’re missing

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Stop and think about workflowsSexy but wrong: Device-centric closed systems

Dull but right: Workflow-centric open solutions

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Promote “Outside-in” architecture

Think about clinical and hospital operations and processes as a collection of business capabilities or services that can be delivered across organizations.

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Promote “Outside-in” architecture

Patients and

Referral Partners

Clinical Personne

l

Admin Personne

l

IT Personn

el

Unsophisticated and less agile focus

Sophisticated and more agile focus

Inside-out focus

Outside-in focus

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Proprietary identity is hurting us

• Most health IT systems create their own custom identity, credentialing, and access management (ICAM) in an opaque part of a proprietary database.

• We’re waiting for solutions from health IT vendors but free or commercial industry-neutral solutions are much better and future proof.

Identity exchange is possible• Follow

National Strategy for Trusted Identities in Cyberspace (NSTIC)

• Use open identity exchange protocols such as SAML, OpenID, and Oauth

• Use open roles and permissions-management protocols, such as XACML

• Consider open source tools such as OpenAM, Apache Directory, OpenLDAP, Shibboleth, or commercial vendors.

• Externalize attribute-based access control (ABAC) and role-based access control (RBAC) from clinical systems into enterprise systems like Active Directory or LDAP.

Implement industry-neutral ICAMImplement shared identities, single sign on (SSO), neutral authentication and authorization

http://www.nist.gov/nstic/



http://en.wikipedia.org/wiki/Security_Assertion_Markup_Language

http://openid.net/

http://oauth.net/

http://en.wikipedia.org/wiki/XACML

http://www.forgerock.com/openam.html

http://directory.apache.org/

http://www.openldap.org/

http://shibboleth.net/

http://en.wikipedia.org/wiki/Active_Directory

http://en.wikipedia.org/wiki/Lightweight_Directory_Access_Protocol

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Dogma is preventing integration

Many think that we shouldn’t integrate until structured data at detailed machine-computable levels is available. The thinking is that because mistakes can be made with semi-structured or hard to map data, we should rely on paper, make users live with missing data, or just make educated guesses instead.

App-centric sharing is possibleInstead of waiting for HL7 or other structured data about patients, we can use simple techniques like HTML widgets to share "snippets" of our apps. • Allow applications immediate access to

portions of data they don't already manage.• Widgets are portions of apps that can be

embedded or "mashed up" in other apps without tight coupling.

• Blue Button has demonstrated the power of app integration versus structured data integration. It provides immediate benefit to users while the data geeks figure out what they need for analytics, computations, etc.

App-focused integration is better than nothingStructured data dogma gets in the way of faster decision support real solutions

http://www.va.gov/bluebutton/

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Old way to architect:“What data can you send me?” (push)

The "push" model, where the system that contains the data is responsible for sending the data to all those that are interested (or to some central provider, such as a health information exchange or HL7 router) shouldn’t be the only model used for data integration.

Better way to architect:“What data can I publish safely?” (pull)

• Implement syndicated Atom-like feeds (which could contain HL7 or other formats).

• Data holders should allow secure authenticated subscriptions to their data and not worry about direct coupling with other apps.

• Consider the Open Data Protocol (oData).• Enable auditing of protected health

information by logging data transfers through use of syslog and other reliable methods.

• Enable proper access control rules expressed in standards like XACML.

Pushing data is more expensive than pulling itWe focus more on "pushing" versus "pulling" data than is warranted early in projects

http://en.wikipedia.org/wiki/Atom_(standard)

http://www.odata.org/




http://en.wikipedia.org/wiki/Syslog

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HL7 and X.12 aren’t the only formats

The general assumption is that formats like HL7, CCD, and X.12 are the only ways to do data integration in healthcare but of course that’s not quite true.

Consider industry-neutral protocols

• Consider identity exchange protocols like SAML for integration of user profile data and even for exchange of patient demographics and related profile information.

• Consider iCalendar/ICS publishing and subscribing for schedule data.

• Consider microformats like FOAF and similar formats from schema.org.

• Consider semantic data formats like RDF, RDFa, and related family.

Industry-specific formats aren’t always necessaryReliance on heavyweight industry-specific formats instead of lightweight micro formats is bad

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Legacy systems trap valuable data

In many existing contracts, the vendors of systems that house the data also ‘own’ the data and it can’t be easily liberated because the vendors of the systems actively prevent it from being shared or are just too busy to liberate the data.

Semantic markup and tagging is easy

• One easy way to create semantically meaningful and easier to share and secure patient data is to have all HTML tags be generated with companion RDFa or HTML5 Data Attributes using industry-neutral schemas and microformats similar to the ones defined at Schema.org.

• Google's recent implementation of its Knowledge Graph is a great example of the utility of this semantic mapping approach.

Tag all app data using semantic markupWhen data is not tagged using semantic markup, it's not securable or shareable by default

http://en.wikipedia.org/wiki/RDFa

http://dev.w3.org/html5/spec/global-attributes.html

http://www.healthcareguy.com/

http://googleblog.blogspot.com/2012/05/introducing-knowledge-graph-things-not.html

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Proprietary data formats limit findability

• Legacy applications only present through text or windowed interfaces that can be “scraped”.

• Web-based applications present HTML, JavaScript, images, and other assets but aren’t search engine friendly.

Search engines are great integrators

• Most users need access to information trapped in existing applications but sometimes they don’t need must more than access that a search engine could easily provide.

• Assume that all pages in an application, especial web applications, will be “ingested” by a securable, protectable, search engine that can act as the first method of integration.

Produce data in search-friendly mannerProduce HTML, JavaScript and other data in a security- and integration-friendly approach

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Healthcare fears open source• Only the government spends

more per user on antiquated software than we do in healthcare.

• There is a general fear that open source means unsupported software or lower quality solutions or unwanted security breaches.

Open source can save health IT• Other industries save billions by using

open source.• Commercial vendors give better

pricing, service, and support when they know they are competing with open source.

• Open source is sometimes more secure, higher quality, and better supported than commercial equivalents.

• Don’t dismiss open source, consider it the default choice and select commercial alternatives when they are known to be better.

Rely first on open source, then proprietary“Free” is not as important as open source, you should pay for software but require openness

Thank You

Visit http://www.netspective.com http://www.healthcareguy.comE-mail [email protected] @ShahidNShahCall 202-713-5409

reasons why health data is poorly integrated today and what we can do about it

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