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Csc8710 001 winter2014-mohammed_shahnawazali-ff2687_presentation_final

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CSC8710-001_Winter2014_MohammedShahnawazAli-ff2687_Presentation_Final

CSC8710-001_Winter2014_MohammedShahnawazAli-ff2687_Presentation_Final

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  • 1. Big Data and Analytics in Healthcare The Evolution, The Power, The Future CSC 8710-001 – Presentation Final Mohammed Shahnawaz Ali
  • 2. Healthcare – The Landscape The healthcare value chain comprises of information workflow for disparate set of data including: • Patients • Providers • Suppliers • Payors 3/3/2014 CSC 8710 - Presentation Final 2
  • 3. Healthcare Data – The Explosion • Healthcare data growth rate α _______1_______ consumption rate • 80% of medical data is unstructured and clinically relevant • Data resides in multiple places and sources • Access to this data and factoring it into clinical and advanced analytics is critical. 3/3/2014 CSC 8710 - Presentation Final 3
  • 4. Healthcare Data – The Demands • • • • • Advances in technology, government mandates, are forcing healthcare to take analytics seriously. Healthcare industry is full of data that's just waiting to be dissected. Trend with new models, like Accountable Care Organizations, is to incent and compensate providers to keep patients healthy. Patients increasingly demand information about their healthcare options to make informed decisions about their care. . 3/3/2014 CSC 8710 - Presentation Final 4
  • 5. Healthcare Data – The Challenges • • • • • Technology laggard Fragmentation Security Standards Timeliness • . 3/3/2014 CSC 8710 - Presentation Final 5
  • 6. Big Data – The Solution? • Big data is already changing the way business decisions are made. • Healthcare providers are leveraging big data and analytics for improving patient health. • Helps effective communication and encourage healthier lifestyles 3/3/2014 CSC 8710 - Presentation Final 6
  • 7. Big Data – The Vital Vs • Volume • Variety • Velocity 3/3/2014 CSC 8710 - Presentation Final 7
  • 8. Healthcare – The Big Data Start • • • • Work with business units to articulate opportunities Get up-to-speed on technology Identify gaps between current and future-state capabilities Develop use cases and test environment 3/3/2014 CSC 8710 - Presentation Final 8
  • 9. Healthcare Data – EDW Logical Architecture Comprises of three areas of processing: • Source Data Acquisition Process • Data Conversion Process • Data Cleansing + Mastering Process 3/3/2014 CSC 8710 - Presentation Final 9
  • 10. Healthcare Data – EDW Physical Architecture 3/3/2014 CSC 8710 - Presentation Final 10
  • 11. EDW – Processing Workflow The healthcare data processing includes the following: 1. Data Enhancement 2. Data Standardization 3. Data Cleansing 4. Data Mastering 3/3/2014 CSC 8710 - Presentation Final 11
  • 12. Sample Dataset – Patient 3/3/2014 CSC 8710 - Presentation Final 12
  • 13. Sample Dataset – Provider 3/3/2014 CSC 8710 - Presentation Final 13
  • 14. Sample Dataset – Plan 3/3/2014 CSC 8710 - Presentation Final 14
  • 15. Closing Notes • To successfully identify and implement big data solutions, healthcare organizations need to devote time and resources to visioning and planning. • Implementation of healthcare regulations with financial incentives are leading healthcare organizations to embrace a digital environment for healthcare information. • Digital information can streamline clinical workflows, optimize care, strengthen doctor-patient relationships, cut costs, and improve outcomes. • With the ability to understand and act upon big data, organizations can create a more efficient and effective healthcare industry – one that fosters improved outcomes and greater patient engagement. 3/3/2014 CSC 8710 - Presentation Final 15
  • 16. Thank You 3/3/2014 CSC 8710 - Presentation Final 16