Ba health
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Health care analytics aims to improve clinical care while limiting excessive spending through analyzing claims and cost data, research and development data, clinical data from electronic medical records, and patient behavior data. Analytics can help health care organizations understand patients, develop personalized treatment plans, detect fraud, and reduce administrative costs. However, challenges include protecting privacy, establishing standards, and ensuring safe and ethical use of health data and technologies. Future trends include increased adoption of cloud solutions, use of IoT and streaming data, and implementation of big data and blockchain technologies.
Ba health
- 1. Health Analytics February 2018 Analytics in Action http://DSign4.education
- 2. Introduction ©2016 L. SCHLENKER Agenda Introduction Definitions Infrastructure Use Scenarios Limits
- 3. Introduction • Place - changes in geography, time, physical resources and budget • Platform – enriching how information is produced and consumed • People – modifying the frame of reference • Practice - impacting the reality of management Schlenker (2015)
- 4. • The use of data, analysis, and predictive modeling to improve teaching and learning • Analytics models aggregate data in new ways • Help students and institutions understand past, present and future academic performance • Impact on personalized learning, pedagogical practices, curriculum development, institutional planning, and research Health Analytics Technology
- 5. • Health care analytics arims to improve clinical care while limiting excessive spending • Healthcare Activities that can be undertaken as a result of data collected from four areas within healthcare; Claims and cost data, Research and development (R&D) data, Clinical data (collected from electronic medical records (EHRs)), Patient behavior and sentiment data Context Technology
- 6. • The journey from fee-for-service to value- based contracts • Understanding the wants and needs of health care consumers • Defining the role of patient experience in marketing • Embracing transparency • Creating patient loyalty in health care organizations Market Challenges Technology NRC Health
- 7. • Capital One Labs – uses data science algorithms to develop next generation of financial products and services. • Citi Latin America Innovation Lab offers its commercial customers transactional datato help clients identify novel trade patterns • Bank of America runs BankAmeriDeals with various cashback offers for debit and credit card holders based on the analytics • Credit Suisse’s Data scientists find novel opportunities to create revenue streams; retain customers and reduce expenses Whose doing it? Technology
- 8. • Using collaborative analytics to personalize treatment plans • Analytics can help derive meaningful insights to attract customers, as well as manage costs and risk of health plans • Detect fraud based on analysis of anomalies in patient records • Open up new diagnostic landscapes for the automated interpretation of x-rays, CAT scans, and MRIs Use Scenarios Technology
- 9. Cutting down administrative costs Clinical decision support Reducing fraud and abuse Better care coordination Improving patient wellbeing Value Levers Technology HealthFore Technologies
- 10. • Customer life event analysis • Real time allocation based offerings • Quality of lead analytics • Micro-segmentation • Customer Gamification • DIsclosure reporting • Anti-money laundering • IVR analysis • B2B merchant insights • Real time capital calculations • Log analytics Data Science Techniques Technology
- 11. • Creating an interoperability roadmap • Protecting privacy and security • Establishing common technical standards • Increasing confidence in safety and safe use of health IT • Developing an international communications structure • Stakeholder collaboration What are the risks? Technology
- 12. • Adoption of cloud solutions • KYC complicance to prevent fraud and financial crimes • Converged applications will integrate historical and real-time financial data • Increasing use of IoT and streaming • Widespread implementation of Big data and blockchain technlogies Future trends Technology
- 13. • Huffington Post, How Big Data Could Transform The Health Care Industry, (video) • Heusch, M., (2017), Using It or Losing It? The Case for Data Scientists Inside Health Care • Montgomery, M., (2016), The Future Of Health Care Is In Data Analytics • Rao, V., (2015), Healthcare Data Analytics • Raghupathi, W. (2014), An Overview of Health Analytics Bibliography Next Steps
- 14. • What is the organization’s business model? • Why does the organization focus on data? • How is the Data Science team organized? • Which data science techniques does the organization favor ? • What is the link between data science and decision making? • How does the organization use Data Science to propel growth Case Study Questions Technology