Big data analytics in Healthcare

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Big Data Analytics in Healthcare

• Joseph Thottungal
• Healthcare Consultant

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What is Big data?

• Big data means different things for different
  industries. The definition also differs within an
  organization, across departments and management
  layers within IT and business.
• At The Big Data Institute (TBDI), big data is a
  term applied to voluminous data objects that are
  variety in nature structured, unstructured or a
  semi-structured, including sources internal or
  external to an organization, and generated at a
  high degree of velocity with an uncertainty
  pattern, that does not fit neatly into
  traditional, structured, relational data stores
  and requires strong sophisticated information
  ecosystem with high performance computing
  platform and analytical capabilities to capture,
  process, transform, discover and derive business
  insights and value within a reasonable elapsed
  time.

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Why Big data analytics in Healthcare?

• Healthcare Industry generates a huge amount of
  data such as
• Clinical data from CPOE
• Clinical decision support systems such as
  physicians written notes and prescriptions,
  medical imaging, laboratory, pharmacy, insurance
• Patient data in electronic health records (EHRs)
• Claims data
• Machine generated/sensor data, such as from
  monitoring vital signs
• Social media posts, including Twitter feeds,
  status updates on Facebook and other platforms
• Data maintained for regulatory compliance such as
  Affordable Care Act, HIE, ACO etc.

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Why Big data analytics in Healthcare?

• Reports say data from the U.S. healthcare system
  alone reached, in 2011, 150 Exabytes
• At this rate of growth, big data for U.S.
  healthcare will soon reach the zettabyte (1021
  gigabytes) scale and, not long after, the
  yottabyte (1024 gigabytes)
• Industry has faced with unsustainable costs and
  enormous amounts of under-utilized data, health
  care needs more efficient practices, research,
  and tools to harness the full benefits of the big
  data

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Challenges

• Healthcare Industry is facing several challenges
  in order to leverage potential benefits of Data
  analytics
• Underinvested due to uncertain ROI
• Many players data sharing is cumbersome.
  Accurate analytics are driven by integrating
  disparate sets of information, such as clinical,
  financial and operational data
• Data in silos due to lack of procedures to
  integration
• Resistance to change - Providers are used to
  making treatment decisions based on their
  clinical judgment instead of relying on the
  protocols based on big data analytics
• Patient privacy and security

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Opportunities

• Big data analytics has potential for benefit for
  everyone in the value chain Provider, Payer and
  the Patient
• Optimizing Care by Device/remote monitoring
• Clinical efficiency, quality, and outcomes by
  Patient profile analytics
• Disease Identification and Risk Stratification
• Supporting participatory healthcare Public health
  analytics
• Reducing the Cost of Care by Genomic analytics
• Reducing Hospital Readmissions by Evidence-based
  medicine
• Reducing Fraud by Pre-adjudication fraud analysis

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Trends

• Few healthcare players are already started taking
  advantage of the potential of big data analytics
• Kaiser Permanente has fully implemented a new
  computer system, HealthConnect, to ensure data
  exchange across all medical facilities and
  promote the use of electronic health records. The
  integrated system has improved outcomes in
  cardiovascular disease and achieved an estimated
  1 billion in savings from reduced office visits
  and lab tests.
• Blue Shield of California, in partnership with
  NantHealth, is improving health-care delivery and
  patient outcomes by developing an integrated
  technology system that will allow doctors,
  hospitals, and health plans to deliver
  evidence-based care that is more coordinated and
  personalized. This will help improve performance
  in a number of areas, including prevention and
  care coordination.

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Trends

• AstraZeneca established a four-year partnership
  with WellPoints data and analytics subsidiary,
  HealthCore, to conduct real-world studies to
  determine the most effective and economical
  treatments for some chronic illnesses and common
  diseases. AstraZeneca will use HealthCore data,
  together with its own clinical-trial data, to
  guide RD investment decisions. The company is
  also in talks with payers about providing
  coverage for drugs already on the market, again
  using HealthCore data as evidence

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Whats next?

• Every healthcare player want to use the big data
  analytics to gain insights of the data from
  various sources to contribute to the following
  immediate goals of the industry
• Increasing provider and payer efficiencies,
  reducing errors and costs
• Enabling comparative effectiveness research for
  current treatments and to inform RD
• Moving toward patient-centered, outcome-oriented
  medicine
• Empowering consumers - Health 2.0,
  participatory healthcare
• Making personalized medicine possible for
  everyone