Big Data Solutions for Improving Patient Care
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Big Data Solutions for Improving Patient Care

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An IDC source says, the healthcare industry is one of the highest-ranked industries for year-over-year growth and five-year compound annual growth rates with a worldwide average of 7.0% growth for ...

An IDC source says, the healthcare industry is one of the highest-ranked industries for year-over-year growth and five-year compound annual growth rates with a worldwide average of 7.0% growth for FY12 in software.

Increasing pressure to both mine & Report clinical, operational, supply chain, finance & HR, and workforce data to improve patient care, while complying with federal regulations and manage costs.

This presentation discusses the concepts of Big Data in Healthcare & how it can help care providers to improve operational efficiency, productivity, and quality of care. This presentation discusses the concepts of connected healthcare and how it will change the Healthcare Industry

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Big Data Solutions for Improving Patient Care Presentation Transcript

  • 1. www.bigdatainnovation.org www.unicomlearning.com www.unicomlearning.com Big Data Solutions for Improving Patient Care Somenath Nag Director – ISV & Enterprise Solutions ALTEN Calsoft Labs Kolkata, 28th Jan, 2014 www.calsoftlabs.com www.bigdatainnovation.org
  • 2. www.unicomlearning.com www.bigdatainnovation.org Connected Healthcare Time for New Perspective • An IDC source says, the healthcare industry is one of the highest-ranked industries for yearover-year growth and five-year compound annual growth rates with a worldwide average of 7.0% growth for FY12 in software. • Increasing pressure to both mine & Report clinical, operational, supply chain, finance & HR, and workforce data to improve patient care, while complying with federal regulations and manage costs. • This presentation discusses the concepts of Big Data in Healthcare & how it can help care providers to improve operational efficiency, productivity, and quality of care. This presentation discusses the concepts of connected healthcare and how it will change the Healthcare Industry Somenath Nag Director – ISV & Enterprise Solutions, ALTEN Calsoft Lab Somenath.nag@calsoftlabs.com http://in.linkedin.com/in/somenathnag www.calsoftlabs.com
  • 3. www.unicomlearning.com www.bigdatainnovation.org Agenda Of The Talk: Challenges Faced by Healthcare Industry Big Data in Healthcare Use case for improving patient care www.bigdatainnovation.org
  • 4. www.bigdatainnovation.org www.unicomlearning.com Challenges Faced by Healthcare Industry Strong need for cost reduction Strong need for operating efficiencies and increased productivity Expand access to care Need to automate care delivery processes and systems Transition from reactive to proactive care Need to modernize legacy applications and systems Demonstrate greater healthcare value to all stakeholders Comply with regulations and security mandates 4 Use data to analyze and improve clinical and business performance to improve sustainability
  • 5. www.bigdatainnovation.org www.unicomlearning.com New Streams of Data • +1 billion smart phones will enter service • 3 billion IP-enabled devices 2014 • 4.9 million patients will use remote health monitoring devices • 3 million patients will use a remote monitoring device via smartphone hub • 142 million healthcare and medical app downloads 2016 5
  • 6. www.bigdatainnovation.org www.unicomlearning.com The Healthcare Data Explosion 2012 500 petabytes Worldwide healthcare data is expected to grow to 50 times the current total 2025 25,000 petabytes 6
  • 7. www.unicomlearning.com www.bigdatainnovation.org Agenda Of The Talk: Challenges Faced by Healthcare Industry Big Data in Healthcare Use case for improving patient care www.bigdatainnovation.org
  • 8. www.unicomlearning.com Healthcare Primary Data Pools www.bigdatainnovation.org
  • 9. www.bigdatainnovation.org www.unicomlearning.com Characteristics of Healthcare Data - Volume • In healthcare, data growth comes both from digitizing existing data and from generating new forms of data. • The is already exists a huge volume of healthcare data that includes: – – – – – – Personal medical records Radiology images Clinical trial data FDA submissions Human genetics and population data Genomic sequences • Newer forms of big byte data, such as 3D imaging, genomics and biometric sensor readings, are also fueling this exponential growth.
  • 10. www.bigdatainnovation.org www.unicomlearning.com Characteristics of Healthcare Data - Variety • Enormous variety of data – Structured – Unstructured – Semi-structured • Sources of new data streams, structured and unstructured – – – – Fitness devices Genetics and genomics Social media Research and other sources • The potential of Big Data in healthcare lies in combining traditional data with new forms of data, both individually and on a population level
  • 11. www.unicomlearning.com www.bigdatainnovation.org Characteristics of Healthcare Data - Velocity • Most healthcare data has traditionally been quite static – Paper files – X-ray films – Scripts • But in some medical situations, real-time data becomes a matter of life or death – Trauma monitoring for blood pressure – Operating room monitors for anesthesia – Bedside heart monitors • In between are the medium-velocity data – Multiple daily diabetic glucose measurements – Blood pressure readings – EKGs
  • 12. www.unicomlearning.com www.bigdatainnovation.org Characteristics of Healthcare Data - Veracity • Data quality issues in Healthcare – Life or death decisions depend on having the information right – The quality of healthcare data, especially unstructured data, is highly variable and all too often incorrect • Issues faced in Healthcare data – Is this the correct patient, hospital, payer, reimbursement code, dollar amount? – Diagnoses data – Treatment data – Prescription data – Procedural data – Correctly capturing outcomes
  • 13. www.unicomlearning.com www.bigdatainnovation.org Different Stakeholders’ View of Big Data in Healthcare • Patients: – – – – Seamlessly medical care. Customer-friendly service Better coordination of care between themselves, caregivers and various providers Error-free, compassionate and effective care. • Providers wants Real-time access to patient, clinical and other relevant data to – Support improved decision-making – Facilitate effective, efficient and error-free care • Researchers – Improve the quality and quantity of workflow – Provide a better understanding of how to develop treatments that meet unmet needs while successfully navigating the regulatory approval and marketing process. • Medical device companies – Safety monitoring and adverse event prediction – Integrate it with old and new forms of personal data
  • 14. www.bigdatainnovation.org www.unicomlearning.com Different Stakeholders’ View of Big Data in Healthcare (Contd.) • Pharma companies – Better understand the causes of diseases – Find more targeted drug candidates – Design more successful clinical trials to avoid late failures and market safer and more effective pharmaceuticals – Accurate formulary and reimbursement information to • Customize their marketing efforts • Less costly post-marketing surveillance. • Payers – Stratify population risk – Sustainable business models • Governments – Reduce costs – Enforce regulations – Maximize the social value of data
  • 15. www.unicomlearning.com New Value Pathways www.bigdatainnovation.org
  • 16. www.unicomlearning.com www.bigdatainnovation.org Agenda Of The Talk: Challenges Faced by Healthcare Industry Big Data in Healthcare Use case for improving patient care www.bigdatainnovation.org
  • 17. www.unicomlearning.com Connected Healthcare Framework www.bigdatainnovation.org
  • 18. www.bigdatainnovation.org www.unicomlearning.com RIS System – Standard Use case Technician Performs Scan –Images Get captured (In Hospitals/Clinics) Radiologists Analyses the Data Data gets loaded to HER/EMR System (In Hospitals/Clinics) (In Hospitals/Clinics) Patients/Insurance companies get paper/Digital reports (in a file/CD) Doctors/Nurses refer HER/EMR System for treatment (In Hospitals/Clinics)
  • 19. www.bigdatainnovation.org www.unicomlearning.com RIS System – Connected Healthcare Use case (In Hospitals/Clinics) Patients/Insurance companies/Physicians Refer Patients portals for reports (in cloud server) Radiologists refer to the prognosis and own findings for arriving at a decision (In Cloud Server) Technician Performs Scan –Images Get captured Data moves to Cloud server, processed by analytics engine for prognosis (In Cloud server) Doctors/Nurses refer the HER/EMR system for Reports (In Hospitals/Clinics) Reports are pushed to Patient portals/HER/EMR System (In Cloud/ Hospitals/Clinics)
  • 20. www.unicomlearning.com www.bigdatainnovation.org Prognosis of Bio Medical Image Data • Mammogram images data is huge by nature and needs distributed storage and computing capabilities • Hadoop HDFS as the distributed file system and Mahout for analyzing • Eigencuts in Mahout for spectral clustering for image segmentation • Classification techniques like Logistic Regression for classifying the cases into Benign, Malignant categories under prognosis
  • 21. www.unicomlearning.com www.bigdatainnovation.org Segmenting and Detecting the Breast cancer through Image analysis • Sample Image Datasets
  • 22. www.unicomlearning.com Big data Analytics Platform www.bigdatainnovation.org
  • 23. www.unicomlearning.com Classification System www.bigdatainnovation.org
  • 24. www.unicomlearning.com Results: Detection of malignant tumor • Segmenting the malignant tumor • Extracting feature set www.bigdatainnovation.org
  • 25. www.bigdatainnovation.org www.unicomlearning.com Results: Classifying Malignant/Benign cancer Benign Malignant
  • 26. www.unicomlearning.com www.unicomlearning.com www.bigdatainnovation.org Thank You Somenath Nag somenath.nag@calsoftlabs.com www.calsoftlabs.com Organized by UNICOM Trainings & Seminars Pvt. Ltd. contact@unicomlearning.com www.bigdatainnovation.org