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The Myth of Health Data
Integration Complexity
There’s nothing special about health IT data that
justifies complex, expensive, or special technology
Presented at MUCMD 2013
By Shahid N. Shah, CEO
This and many of my other presentations are available at

http://www.SpeakerDeck.com/shah
@ShahidNShah
shahid@shah.org

www.netspective.com

2
NETSPECTIVE

Who is Shahid?
•

•
•
•

20+ years of software engineering and multidiscipline 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)
10+ years as architect, engineer, and
implementation manager on various EMR
and EHR initiatives (commercial and nonprofit)

www.netspective.com

Author of Chapter 13, “You’re
the CIO of your Own Office”
3
NETSPECTIVE

What’s this talk about?
Background
•
•

•

•

A deluge of healthcare data is being
created as we digitize biology,
chemistry, and physics.
Data changes the questions we ask
and it can actually democratize and
improve the science of medicine, if we
let it.
While cures are the only real miracles
of medicine, data can help solve
intractable problems and lead to more
cures.
Healthcare-focused software
engineering is going to do more harm
than good (industry-neutral is better).

www.netspective.com

Key takeaways
•
•
•

•

•

EHRs are not the center of the
healthcare data ecosystem.
Applications come and go, data lives
forever. He who owns, integrates, and
uses data wins in the end.
Never leave your data in the hands of
an application/system vendor.
There’s nothing special about
health IT data that justifies
complex, expensive, or special
technology.
Spend freely on multiple systems and
integration-friendly solutions.
4
NETSPECTIVE

Is your tech infrastructure agile?
Improve speed of
response to new
patient/HCP needs

Reduce permissionoriented culture

Reduce number of
Shadow IT systems

www.netspective.com

React faster to
regulatory and
market changes

Reduce
compliance-focus
in favor of customer
focus
5
NETSPECTIVE

NEJM believes doctors are trapped
It is a widely accepted myth that medicine requires
complex, highly specialized information-technology (IT)
systems.
This myth continues to justify soaring IT costs,
burdensome physician workloads, and stagnation in
innovation — while doctors become increasingly bound
to documentation and communication products that are
functionally decades behind those they use in their
“civilian” life.
New England Journal of Medicine “Escaping the EHR Trap - The Future of Health IT”, June 2012
www.netspective.com

6
NETSPECTIVE

Real world requirement: Reduce heart failure readmissions

Allocating scarce resources in real-time to reduce heart
failure readmissions: a prospective, controlled study

http://qualitysafety.bmj.com/content/early/2013/07/31/bmjqs-2013-001901.full

“This study provides preliminary evidence that technology
platforms that allow for automated EMR data extraction, case
identification and risk stratification may help potentiate the effect
of known readmission reduction strategies, in particular those that
emphasize intensive and early post-discharge outpatient contact.”

www.netspective.com

7
NETSPECTIVE

Data changes the questions we ask

Simple visual facts
www.netspective.com

Complex visual facts

Complex computable
facts
8
NETSPECTIVE

Implications for scientific discovery

Assuming permissions-oriented culture that prevents tinkering and “hacking” is obviated 

The old way
Identify problem

Ask questions

Collect data

Answer questions
www.netspective.com

What Dr. Jim Fackler was asking for:
Don’t try to prove what I think I already know,
tell me something I don’t know.
What Dr. Curtis Kennedy was remarking:

Medicine has patterns, there are only three
kinds: Don't know the pattern; know the
pattern, don't see it, know the pattern and
see it
Drs. Kennedy & Fackler agreed with past
research: Don’t just give me more data, put it
into the hands of the patients / parents /
caregivers

The new way
Identify data

Generate questions

Mine data

Answer questions
9
NETSPECTIVE

Application focus is biggest mistake
Application-focused IT instead of Data-focused IT is causing business problems.
Silos of information exist across
groups (duplication, little sharing)

Clinical
Apps

Billing
Apps

Lab
Apps

Other
Apps

Healthcare Provider Systems

Patient
Apps

Partner Systems

Poor data integration across
application bases
www.netspective.com

10
NETSPECTIVE

The Strategy: Modernize Integration
Need to get existing applications to share data through modern integration
techniques

Clinical
Apps
NCI
App

Billing
Apps

Lab
Other
Apps
Apps
NEI
App
Healthcare Provider Systems

Patient
Apps
NHLBI
App

Partner Systems

Master Data Management, Entity Resolution, and Data Integration
Improved integration by services
that can communicate between applications
www.netspective.com

11
NETSPECTIVE

Confronting Data Integration Myths
My EHR will handle
everything I need
and push data
where required
Without semantic
mapping the
aggregated data is
not useful
www.netspective.com

I can’t possibly store
everything

I don’t have to
worry about storing
certain types of data

I only need to store
data for a period of
time

If I don’t understand
how to synthesize
data now, I’d rather
not store it
12
NETSPECTIVE

Why health IT systems integrate poorly
•
•

•

•
•

Permissions-oriented culture
prevents tinkering and “hacking”
We don't support shared identities,
single sign on (SSO), and industryneutral authentication and
authorization
We’re looking for "structured data
integration" instead of "practical app
integration" in our early project
phases
We create large monolithic data
warehouses instead of small service
oriented databases
We “push" data everywhere instead
of "pulling" it when necessary

www.netspective.com

•
•

•
•
•

We assume EHRs the center of
the universe
We accept and reward vendors
that don’t care about integration
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

13
How do we modernize integration?
NETSPECTIVE

Don’t assume your EHR will manage your data
The EHR can not be the center of the healthcare data ecosystem

• Most non-open-source
EHR solutions are
designed to put data in
but not get data out
• Never build your data
integration strategy with
the EHR in the center,
create it using the EHR as
a first-class citizen
Why EHRs are not (yet) disruptive
http://www.christenseninstitute.org/why-ehrs-are-not-yet-disruptive/
www.netspective.com

15
NETSPECTIVE

Encourage clinical “tinkering” and “hacking”
It’s ok to not know the answer in advance

• Clinicians usually go
into medicine because
they’re problem solvers
• Today’s permissionsoriented culture now
prevents “playing” with
data and discovering
solutions
www.netspective.com

16
NETSPECTIVE

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.
www.netspective.com

17
NETSPECTIVE

Integration improves focus on the real customer
Dr. Warren
Sandberg
suggested he
needs help here

Inside-out focus

IT
Personnel

Internal
business
users and
HCPs

HCP and
Staff
Evaluators

Outside-in focus

External
HCPs

Patients

Sophisticated and
more agile focus

Unsophisticated and
less agile focus
HCPs = healthcare providers
www.netspective.com

18
NETSPECTIVE

Implement industry-neutral ICAM

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

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 industryneutral solutions are much better and
future proof.

www.netspective.com

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
.

19
NETSPECTIVE

App-focused integration is better than nothing
Structured data dogma gets in the way of faster decision support real solutions

Dogma is preventing integration

App-centric sharing is possible

Many think that we shouldn’t integrate
until structured data at detailed machinecomputable 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.

Instead 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.
• Consider Direct for app-centric connectivity.

www.netspective.com

20
NETSPECTIVE

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

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

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

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.

• Implement FHIR or 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.
• Consider Direct for connectivity if you can’t get
away from ‘push’.

www.netspective.com

21
NETSPECTIVE

Move to service-oriented (de-identifiable) data
Don’t assume all your data has to go into a giant data warehouse

Old way to architect:
Monolithic RDBMS-based data warehouse

Better way to architect:
Service-oriented databases on RDBMS/NoSQL

The centralized clinical data warehouse (CDW)
model, where a massive multi-year project
creates a monolithic relational database that all
analytics will run off was fine when retrospective
reporting is what defined analytics. This old
architecture won’t work in modern predictive
analytics and mobile-centric requirements.

• Drive transactional ACID-based data
requirements to RDBMS and consider columnstores, document-stores, and network-stores for
other kinds of data
• Break relationships between data and store
lookup, transactional, predictive, scoring, risk
strat, trial associated, retrospective, identity,
mortality ratios, and other types of data based on
their usage criteria not developer convenience
• Use translucent encryption and auto-deidentification of data to make it more useful
without further processing
• Design for decentralized sync’ing of data (e.g.
mobile, etc.) not centralized ETL

www.netspective.com

22
NETSPECTIVE

An example of structuring data for analysis
Preparing data is important

Hard to secure data structures

Easier to secure data structures

http://www.ibm.com/developerworks/data/library/techarticle/dm-ind-ehr/
www.netspective.com

23
NETSPECTIVE

Industry-specific formats aren’t always necessary

Reliance on heavyweight industry-specific formats instead of lightweight micro formats is bad

HL7 and X.12 aren’t the only formats

Consider industry-neutral protocols

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.

•

•
•
•

www.netspective.com

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.
24
NETSPECTIVE

Tag all app data using semantic markup

When data is not tagged using semantic markup, it's not securable or shareable by default

Legacy systems trap valuable data

Semantic markup and tagging is easy

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.

• 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.

www.netspective.com

25
NETSPECTIVE

Produce data in search-friendly manner

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

Proprietary data formats limit findability

Search engines are great integrators

• 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.

• 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.

www.netspective.com

26
NETSPECTIVE

Rely first on open source, then proprietary

“Free” is not as important as open source, you should pay for software but require openness

Healthcare fears open source

Open source can save health IT

• 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.

• 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.

www.netspective.com

27
Visit
http://www.netspective.com
http://www.healthcareguy.com
E-mail shahid.shah@netspective.com
Follow @ShahidNShah
Call 202-713-5409

Thank You

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Proper Data Integration can change Medical Science

  • 1. The Myth of Health Data Integration Complexity There’s nothing special about health IT data that justifies complex, expensive, or special technology Presented at MUCMD 2013 By Shahid N. Shah, CEO
  • 2. This and many of my other presentations are available at http://www.SpeakerDeck.com/shah @ShahidNShah shahid@shah.org www.netspective.com 2
  • 3. NETSPECTIVE Who is Shahid? • • • • 20+ years of software engineering and multidiscipline 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) 10+ years as architect, engineer, and implementation manager on various EMR and EHR initiatives (commercial and nonprofit) www.netspective.com Author of Chapter 13, “You’re the CIO of your Own Office” 3
  • 4. NETSPECTIVE What’s this talk about? Background • • • • A deluge of healthcare data is being created as we digitize biology, chemistry, and physics. Data changes the questions we ask and it can actually democratize and improve the science of medicine, if we let it. While cures are the only real miracles of medicine, data can help solve intractable problems and lead to more cures. Healthcare-focused software engineering is going to do more harm than good (industry-neutral is better). www.netspective.com Key takeaways • • • • • EHRs are not the center of the healthcare data ecosystem. Applications come and go, data lives forever. He who owns, integrates, and uses data wins in the end. Never leave your data in the hands of an application/system vendor. There’s nothing special about health IT data that justifies complex, expensive, or special technology. Spend freely on multiple systems and integration-friendly solutions. 4
  • 5. NETSPECTIVE Is your tech infrastructure agile? Improve speed of response to new patient/HCP needs Reduce permissionoriented culture Reduce number of Shadow IT systems www.netspective.com React faster to regulatory and market changes Reduce compliance-focus in favor of customer focus 5
  • 6. NETSPECTIVE NEJM believes doctors are trapped It is a widely accepted myth that medicine requires complex, highly specialized information-technology (IT) systems. This myth continues to justify soaring IT costs, burdensome physician workloads, and stagnation in innovation — while doctors become increasingly bound to documentation and communication products that are functionally decades behind those they use in their “civilian” life. New England Journal of Medicine “Escaping the EHR Trap - The Future of Health IT”, June 2012 www.netspective.com 6
  • 7. NETSPECTIVE Real world requirement: Reduce heart failure readmissions Allocating scarce resources in real-time to reduce heart failure readmissions: a prospective, controlled study http://qualitysafety.bmj.com/content/early/2013/07/31/bmjqs-2013-001901.full “This study provides preliminary evidence that technology platforms that allow for automated EMR data extraction, case identification and risk stratification may help potentiate the effect of known readmission reduction strategies, in particular those that emphasize intensive and early post-discharge outpatient contact.” www.netspective.com 7
  • 8. NETSPECTIVE Data changes the questions we ask Simple visual facts www.netspective.com Complex visual facts Complex computable facts 8
  • 9. NETSPECTIVE Implications for scientific discovery Assuming permissions-oriented culture that prevents tinkering and “hacking” is obviated  The old way Identify problem Ask questions Collect data Answer questions www.netspective.com What Dr. Jim Fackler was asking for: Don’t try to prove what I think I already know, tell me something I don’t know. What Dr. Curtis Kennedy was remarking: Medicine has patterns, there are only three kinds: Don't know the pattern; know the pattern, don't see it, know the pattern and see it Drs. Kennedy & Fackler agreed with past research: Don’t just give me more data, put it into the hands of the patients / parents / caregivers The new way Identify data Generate questions Mine data Answer questions 9
  • 10. NETSPECTIVE Application focus is biggest mistake Application-focused IT instead of Data-focused IT is causing business problems. Silos of information exist across groups (duplication, little sharing) Clinical Apps Billing Apps Lab Apps Other Apps Healthcare Provider Systems Patient Apps Partner Systems Poor data integration across application bases www.netspective.com 10
  • 11. NETSPECTIVE The Strategy: Modernize Integration Need to get existing applications to share data through modern integration techniques Clinical Apps NCI App Billing Apps Lab Other Apps Apps NEI App Healthcare Provider Systems Patient Apps NHLBI App Partner Systems Master Data Management, Entity Resolution, and Data Integration Improved integration by services that can communicate between applications www.netspective.com 11
  • 12. NETSPECTIVE Confronting Data Integration Myths My EHR will handle everything I need and push data where required Without semantic mapping the aggregated data is not useful www.netspective.com I can’t possibly store everything I don’t have to worry about storing certain types of data I only need to store data for a period of time If I don’t understand how to synthesize data now, I’d rather not store it 12
  • 13. NETSPECTIVE Why health IT systems integrate poorly • • • • • Permissions-oriented culture prevents tinkering and “hacking” We don't support shared identities, single sign on (SSO), and industryneutral authentication and authorization We’re looking for "structured data integration" instead of "practical app integration" in our early project phases We create large monolithic data warehouses instead of small service oriented databases We “push" data everywhere instead of "pulling" it when necessary www.netspective.com • • • • • We assume EHRs the center of the universe We accept and reward vendors that don’t care about integration 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 13
  • 14. How do we modernize integration?
  • 15. NETSPECTIVE Don’t assume your EHR will manage your data The EHR can not be the center of the healthcare data ecosystem • Most non-open-source EHR solutions are designed to put data in but not get data out • Never build your data integration strategy with the EHR in the center, create it using the EHR as a first-class citizen Why EHRs are not (yet) disruptive http://www.christenseninstitute.org/why-ehrs-are-not-yet-disruptive/ www.netspective.com 15
  • 16. NETSPECTIVE Encourage clinical “tinkering” and “hacking” It’s ok to not know the answer in advance • Clinicians usually go into medicine because they’re problem solvers • Today’s permissionsoriented culture now prevents “playing” with data and discovering solutions www.netspective.com 16
  • 17. NETSPECTIVE 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. www.netspective.com 17
  • 18. NETSPECTIVE Integration improves focus on the real customer Dr. Warren Sandberg suggested he needs help here Inside-out focus IT Personnel Internal business users and HCPs HCP and Staff Evaluators Outside-in focus External HCPs Patients Sophisticated and more agile focus Unsophisticated and less agile focus HCPs = healthcare providers www.netspective.com 18
  • 19. NETSPECTIVE Implement industry-neutral ICAM Implement shared identities, single sign on (SSO), neutral authentication and authorization 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 industryneutral solutions are much better and future proof. www.netspective.com 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 . 19
  • 20. NETSPECTIVE App-focused integration is better than nothing Structured data dogma gets in the way of faster decision support real solutions Dogma is preventing integration App-centric sharing is possible Many think that we shouldn’t integrate until structured data at detailed machinecomputable 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. Instead 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. • Consider Direct for app-centric connectivity. www.netspective.com 20
  • 21. NETSPECTIVE Pushing data is more expensive than pulling it We focus more on "pushing" versus "pulling" data than is warranted early in projects Old way to architect: “What data can you send me?” (push) Better way to architect: “What data can I publish safely?” (pull) 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. • Implement FHIR or 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. • Consider Direct for connectivity if you can’t get away from ‘push’. www.netspective.com 21
  • 22. NETSPECTIVE Move to service-oriented (de-identifiable) data Don’t assume all your data has to go into a giant data warehouse Old way to architect: Monolithic RDBMS-based data warehouse Better way to architect: Service-oriented databases on RDBMS/NoSQL The centralized clinical data warehouse (CDW) model, where a massive multi-year project creates a monolithic relational database that all analytics will run off was fine when retrospective reporting is what defined analytics. This old architecture won’t work in modern predictive analytics and mobile-centric requirements. • Drive transactional ACID-based data requirements to RDBMS and consider columnstores, document-stores, and network-stores for other kinds of data • Break relationships between data and store lookup, transactional, predictive, scoring, risk strat, trial associated, retrospective, identity, mortality ratios, and other types of data based on their usage criteria not developer convenience • Use translucent encryption and auto-deidentification of data to make it more useful without further processing • Design for decentralized sync’ing of data (e.g. mobile, etc.) not centralized ETL www.netspective.com 22
  • 23. NETSPECTIVE An example of structuring data for analysis Preparing data is important Hard to secure data structures Easier to secure data structures http://www.ibm.com/developerworks/data/library/techarticle/dm-ind-ehr/ www.netspective.com 23
  • 24. NETSPECTIVE Industry-specific formats aren’t always necessary Reliance on heavyweight industry-specific formats instead of lightweight micro formats is bad HL7 and X.12 aren’t the only formats Consider industry-neutral protocols 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. • • • • www.netspective.com 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. 24
  • 25. NETSPECTIVE Tag all app data using semantic markup When data is not tagged using semantic markup, it's not securable or shareable by default Legacy systems trap valuable data Semantic markup and tagging is easy 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. • 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. www.netspective.com 25
  • 26. NETSPECTIVE Produce data in search-friendly manner Produce HTML, JavaScript and other data in a security- and integration-friendly approach Proprietary data formats limit findability Search engines are great integrators • 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. • 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. www.netspective.com 26
  • 27. NETSPECTIVE Rely first on open source, then proprietary “Free” is not as important as open source, you should pay for software but require openness Healthcare fears open source Open source can save health IT • 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. • 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. www.netspective.com 27