IBM Insight 2014 session (4152 )- Accelerating Insights in Healthcare with “Big Data” with HaDoop

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  • Accelerating Insights in Healthcare with Big Data with HaDoop - 4152 Ed Macko CTO Healthcare Darwin Leung Director of Informatics Applications, IBCAlex Zeltov Research Scientist, IBCJoel Vengco CIO, Baystate

    2014 IBM Corporation

  • Please NoteIBMs statements regarding its plans, directions, and intent are subject to change or

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    *

  • IBM Smarter Care uncovers valuable insights into lifestyle choices, social determinants, clinical and financial factors that effect the overall health of an individual Social Demographic determinants such as where one is born, grows, lives, works and ages have direct impact on an individuals overall health, mental health and well-being. Lifestyle Choices have direct impact on an individuals mental and physical wellness.Clinical Factors such as specific medical symptoms, history, medications, diagnoses, etc are indicators of an individuals health. FinancialCosts, insurance, reimbursement, incentive to modify behavior, new payment models, co-pays, etc. will pay a significant role.

    *Key message:The path forward is IBM Smarter Care which expresses the power available today to uncover the KEY insights about an individual their lifestyle choices, social determinants, and clinical factors. And then bring to bear all of that valuable information -- which is distilled, synthesized, and can be acted upon as never before!

    Information about lifestyle, such as do you choose to smoke? Do you choose to exercise? Do you make healthy nutrition a focus?

    Social determinantssuch as where an individual is born, where they live and work, and their age, which can all have a direct impact on overall health and wellness

    And of course, clinical factors the more traditional component, such as medical history and symptoms, predisposition to disease, medications, etc

    This is the recognition that everything matters when it comes to the individual. Its not just clinical it is also about their lifestyle choices, and social determinants that impact overall health and wellbeing, and ability to contribute to community vitality.

    *

  • Every organization is on its own analytics journeyAdvanced, PredictiveWhat will happen?What will be the impact?

    DashboardsClinical data repositoriesDepartmental data martsEnterprise data warehouseBI ReportingEnterprise analytics Unstructured content analyticsOutcomes analyticsEvidence-based medicine

    Population AnalyticsStreaming analyticsSimilarity analyticsPersonalized healthcareConsumer engagementCognitive Computing

    Care OptimizationPrescriptiveWhat are potential scenarios?What is the best course?How can we pre-empt and mitigate the crisis?

    *

  • ... Biggest blind spot still remains unstructured data

    Key Points to MakeLets look at that all that raw data or raw information itself.Most existing analytics platforms only address structured data.Many analytics processes today only rely on current and historical data.

    In other words, what information sources can we leverage to unlock trapped insights those that are causing the blind spots.We think we know the answers but we are even asking the right questions?It is estimated that over 80% of information is maintained as unstructured data (or text) basically anything not in a structured databaseStructured data includes things like checklists (yes/no, vitals) Unstructured data exists in many sources: physician notes, registration forms, discharge summaries, text messages, documents, paper records and many many more.Because this content lacks structure, it is arduous for healthcare enterprises to include it in business analysis and therefore it is routinely left out.This is a major missed opportunity are you only leveraging 1/5th (or 20%) of your information?What are you doing about the other 4/5ths of you information?

  • *BIOGRAPHY

    Independence Blue Cross

    Darwin LeungDirector, Informatics Application Development and OperationsResponsible for the development of analytical applications across the Informatics Division for Independence Blue Cross.

    Alex ZeltovResearch Scientist, Advanced AnalyticsLead the development and research of Big Data initiative and predictive analytics.

    Contact Info:Email: darwin.leung@ibx.com / Phone:215.241.2255Email: alex.zeltov@ibx.com / Phone: 215.241.9885

  • Independence and its subsidiaries and affiliates

    Data WarehouseWe serve more than 7 million people in 24 states as well as the District of Columbia 4 million through our medical coverage and administrative services, and 3 million through pharmacy, dental, and vision coverage and other ancillary products.AmeriHealth CaritasAmeriHealth AdministratorsAmeriHealth AdministratorsAmeriHealth CaritasAmeriHealth CaritasAmeriHealth Caritas and AmeriHealth AdministratorsAmeriHealth CaritasAmeriHealthAmeriHealth CaritasAmeriHealth AdministratorsAmeriHealth CaritasAmeriHealth CaritasPA & NJ MarketIndependence Blue CrossAmeriHealthAmeriHealth AdministratorsCompServicesAmeriHealth CaritasAmeriHealth CaritasAmeriHealth CaritasAmeriHealth and AmeriHealth AdministratorsAmeriHealth AdministratorsAmeriHealth Caritas and AmeriHealth AdministratorsAmeriHealth Caritas and AmeriHealth AdministratorsAmeriHealth Caritas

  • What are key business drivers that require Big Data solution @ IBC ?Apply text analytics to all information available for different business cases.Need to bring all information (structured and instructed) to a level where our technologies can be applied.Use advanced predictive analytics for various business use cases.Apply search technologies to all of our structured and unstructured data

  • Business CasesProduct RecallNurse Chart Review ProcessPredictive models:Customer complaints / grievances DiabetesLikelihood of hospitalizationSentiment analysisText Search on Electronic Medical Records/Data

  • Business Case: Product Recall

  • The text mining process helps identify the manufacturers that are on recall list.Scheduled report alerts with potential identified members that match the recall manufacturers.Create a database of extracted patient and manufacturer information.The OCR + Text mining process analyzes charts 300+ pages long on averageGenerated reports on the OCR results in IBM BigSheetsBusiness Case: Product Recall

  • Nurse Chart Review ProcessThe text mining process helps identify conditions and diagnoses based on the medical ontology matches for the nurse review.

    The text analytics priorities the charts for nurse review, the highest scored EMR charts are presented first for the nurse review process.

    The nurse has the ability to open the text version of the chart that was created part of the OCR process to the exact location of the matched terms in the scanned version of chart.

  • Predictive models:Customer complaints / grievances

    Diabetes

    Likelihood of hospitalization*

  • CTM and Grievances Rates * Issue: Identify Members with a High Likelihood to file a CTM/Grievance

    Results:Customer SatisfactionSTAR Ratings

  • Likelihood to File a CTM : Pre-Intervention*

    John Doe

  • Outreach Intervention**Hello John Doe. I see that you called yesterday about a billing issue. How can I assist you?

  • Likelihood to File a CTM : Post-Intervention**John Doe

  • *BIOGRAPHYJoel Vengco Chief Information Officer BaystateResponsible for xxxxthe development of analytical applications across Baystate

    Contact Info:Phone:xxx.xxx.xxxxEmail: joel.vengco@baystate.com

  • Who is Baystate ?Give 1 page overview of Baystate (who do you serve, # provider, # patients, demographics, etc. )

  • Q & A

  • Thank You

    *Key message:The path forward is IBM Smarter Care which expresses the power available today to uncover the KEY insights about an individual their lifestyle choices, social determinants, and clinical factors. And then bring to bear all of that valuable information -- which is distilled, synthesized, and can be acted upon as never before!

    Information about lifestyle, such as do you choose to smoke? Do you choose to exercise? Do you make healthy nutrition a focus?

    Social determinantssuch as where an individual is born, where they live and work, and their age, which can all have a direct impact on overall health and wellness

    And of course, clinical factors the more traditional component, such as medical history and symptoms, predisposition to disease, medications, etc

    This is the recognition that everything matters when it comes to the individual. Its not just clinical it is also about their lifestyle choices, and social determinants that impact overall health and wellbeing, and ability to contribute to community vitality.

    **

    Key Points to MakeLets look at that all that raw data or raw information itself.Most existing analytics platforms only address structured data.Many analytics processes today only rely on current and historical data.

    In other words, what information sources can we leverage to unlock trapped insights those that are causing the blind spots.We think we know the answers but we are even asking the right questions?It is estimated that over 80% of information is maintained as unstructured data (or text) basically anything not in a structured databaseStructured data includes things like checklists (yes/no, vitals) Unstructured data exists in many sources: physician notes, registration forms, discharge summaries, text messages, documents, paper records and many many more.Because this content lacks structure, it is arduous for healthcare enterprises to include it in business analysis and therefore it is routinely left out.This is a major missed opportunity are you only leveraging 1/5th (or 20%) of your information?What are you doing about the other 4/5ths of you information?

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