beyond big data: mining content for business value in healthcare

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Beyond Big Data: Mining Content for Business Value in Healthcare Phil Lanzafame, Sentara Healthcare Anne Lapkin, Smartlogic

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Page 1: Beyond Big Data: Mining Content for Business Value in Healthcare

Beyond Big Data: Mining Content for Business Valuein Healthcare

Phil Lanzafame, Sentara HealthcareAnne Lapkin, Smartlogic

Page 2: Beyond Big Data: Mining Content for Business Value in Healthcare

• A bit about Smartlogic

• What is content intelligence?

• A bit about Sentara Healthcare

• Sentara’s business problem

• Sentara’s solution

• Lessons learned

Agenda

Page 3: Beyond Big Data: Mining Content for Business Value in Healthcare

A bit about Smartlogic

There is huge business value locked away in content, because content contains the majority of the organization's intelligence. Organizations that unlock that value can outperform competitors in their market. Content augments the value that most organizations have already found in structured data - it is the untapped frontier of competitive advantage.

To realize this value we know you must understand your content, the information and knowledge it contains, how it can be applied in the context of your operations and how it enhances the insights from structured data. The content must be described completely and consistently with metadata.

We focus all our energy on creating value from unstructured content – something we call Content Intelligence.

Jeremy Bentley, CEO

Through 2015 organizations integrating high value, diverse, new information types and sources into a coherent information management infrastructure will outperform their industry peers financially by more than 20%

Gartner

Page 4: Beyond Big Data: Mining Content for Business Value in Healthcare

Content Intelligence is to the 80% of information

what business intelligence is to the 20%

Page 5: Beyond Big Data: Mining Content for Business Value in Healthcare

Content intelligence is…

Content Intelligence is the combination of semantic technology and information science that allows machines to model, interpret, describe, analyze and visualize the content of the enterprise in order to leverage the human intelligence locked in that content.

Page 6: Beyond Big Data: Mining Content for Business Value in Healthcare

• 126-year not-for-profit mission

• 12 hospitals, 2,727 beds, 3,799 physicians on staff

• 13 long term care/assisted living facilities

• Extended stay hospital

• 5 medical groups (650+ providers)

• 444,000-member health plan

• Sentara College of Health Sciences

• $4.3B total operating revenue

• $5.9B total assets

• 27,000+ members of the team

• AA/Aa2 bond rating

A bit about Sentara

Page 7: Beyond Big Data: Mining Content for Business Value in Healthcare

The opportunity

A funny thing happened on the way to big data; we have it, but nobody can find anything

Clinical Business Systems

PhysiciansHealth Insurance

Financial Operations

Human ResourcesPatients

Reports-Systems- SAP- SAAS- KPIs- Dashboards- Excel- Documents- SharePoint

Discovery of Existing ReportsWhich one(s) do I need?

Page 8: Beyond Big Data: Mining Content for Business Value in Healthcare

• Create a cataloging system to discover and keep track of all the reports in the enterprise

– What they are about

– Where and when they were created

– What data was used to create them

– What is their validity

• Make this catalog available across the enterprise

– Find the right information when we need it

– Reduce duplication

– Address gaps

How would you feel if you went to the library and there was no card catalog?

The solution

Page 9: Beyond Big Data: Mining Content for Business Value in Healthcare

We modelled the problem domain

People use different vocabularies based on the discipline they are comfortable with

Page 10: Beyond Big Data: Mining Content for Business Value in Healthcare

People search using terms they are comfortable with

Page 11: Beyond Big Data: Mining Content for Business Value in Healthcare

Or they can visually explore

Page 12: Beyond Big Data: Mining Content for Business Value in Healthcare

They can drill down on individual terms

Page 13: Beyond Big Data: Mining Content for Business Value in Healthcare

And find exactly what they want

Page 14: Beyond Big Data: Mining Content for Business Value in Healthcare

• The ontology “organizes your organization” – we are using the model to push down de facto standards

– The next step is to use the knowledge map to standardize across the reporting systems

• Don’t boil the ocean – going domain by domain is more productive

– Start with something that is small enough to do, but large enough to be visible

• It’s not a technology exercise – technology facilitates the information science

– We needed to teach people the rudiments of information science

• Don’t get ahead of yourself

– People get excited when they see what it can do and ask for more

– You can easily get distracted and never deliver anything

• Dynamic change and extensibility is critical

• The more we show the tool in context, the more use cases get generated

– Easier to understand not only what the tools are doing but how they do it

– People are creative – they will continue to find new ways of referring to the same thing

Lessons learned

Page 15: Beyond Big Data: Mining Content for Business Value in Healthcare

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