Harbinger Tech Session in cloud Expo - New Possibilities in Cloud Based Healthcare Records
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Harbinger Tech Session in cloud Expo - New Possibilities in Cloud Based Healthcare Records
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Harbinger Tech Session in cloud Expo - New Possibilities in Cloud Based Healthcare Records
- 1. New Possibilities with Cloud-based Healthcare Records Meet us at Booth #523 At Cloud Expo West 2014
- 2. About Us Services • Software Product Development • Advanced Testing Domains Umesh Kanade GM, Technology Solutions • Human Capital Management • Healthcare • eLearning • Digital Publishing Technology Focus • IoT • Cloud • Big data • Mobility • Web Applications • Open Source Shrikant Pattathil Executive Vice President
- 3. Healthcare and Cloud Introduction
- 4. Healthcare Industry EHR CMS VistA
- 5. Healthcare Ecosystem Health Insurance Federal Healthcare Reforms Meaningful Use HIPAA Clearing House Payer EHR Clinics
- 6. EHR- A Complex Dataset Immunization Data Lab and Test Results Patient Demographic Medications Treatment Plans Medical History Radiology Images Allergies
- 7. Cloud adoption by Healthcare 2011 4% Adoption 2012-14 20% Yearly Growth 2017 $5.4 Bn Market Size
- 8. Reasons for growth • Providers and payers to seek more agile approaches and technology Budgets Mobility Compliance Data Analytics
- 9. Healthcare and Cloud Adoption Challenges
- 10. Challenges for Cloud Enablement Scalability Security Cost Migration Interoperability Time to Market
- 11. Scalability Scalability Security Cost Migration Interoperability Time to Market
- 12. Scalability Design for Scale • Statelessness and Asynchronous Multi-Layer Data Models • No-SQL databases Distributed Computing • De-coupled Analytics Data
- 13. Multi Layer Data Models In-Memory Document Graph Relational
- 14. Distributed Computing : Example • Large Hospital Chain • New Drug Situation • Effectiveness of drug • Actionable Intelligence Challenge • Map Reduce jobs • Normalized Results Solution
- 15. Clinical Decision Support System Prescribed Drug Observations Positive Negative Problem Code Stable
- 16. Clinical Decision Support System MCD1 MCD2 MCD ...n Map Reduce Map Reduce Map Reduce Recommendation Table Web Services Observations
- 17. Security Scalability Security Cost Migration Interoperability Time to Market
- 19. Application Security IdP Encryption Authentication Multi-tenancy Cost Security
- 20. Multi-Tenancy • Logical vs. Physical Multi-tenancy • Tenant-level or record level encryption Isolated Separated DB Separate Schema Shared Schema Shared Isolated Shared Number of Tenants Database size per Tenant Number of Users per Tenant Per-Tenant Value-added-Services
- 21. Authentication Authenticating user in Hybrid cloud is complex Data breaches because of weak authentication is a major concern Legacy app / Private cloud On Premise Users Cloud Services / data
- 22. Authenticating with Identity Provider Reverse Proxy / Web server Id P HBase Cluster Data Node2 Data Node 1 HBase Master ZooKeeper In-premise Indexing Server EHR RDBMS Server 1 Server 2 LDAP
- 23. Security: Network and Infrastructure
- 26. Case-study: Deployment Options Enterprise Private Cloud Virtual Data Center Virtual Desktop Infrastructures
- 27. Summary Scalability • Distributed Multi-layer Data Models Security • Application and Infrastructure Level Cost • Upfront cloud services planning Migration • Iterative Incremental Agile Method Interoperability • SOA, REST, OAuth based Solutions Time to Market • Agile, Disruptive Tech, DevOps
- 28. Harbinger @ Cloud Expo Meet us at Booth #523 Attend our demo session: ‘Leveraging Cloud for Video Delivery Platforms’ Date: November 05, 2014 Time: 2:35 PM
- 29. Thank You! Email Us: shrikant@harbingergroup.com umeshk@harbingergroup.com www.harbinger-systems.com Meet us at Booth #523 At Cloud Expo West 2014
Notes de l'éditeur
- The Healthcare segment is too broad and a complex landscape There is lot of communication between Health providers, Patients, Pharmacists, Insurance organization, Clearing house … These are hybrid Problems and so the Solutions may become convoluted Solution must conform to federal regulations like HIPAA, MU2
- Adoption of 4% in 2011-12 Growing at the rate of 20% every year Expected to reach goals by 2017 with cloud computing market size of $5.4 Bn
- Handling complex data relationships Real-time queries for distributed data Horizontal vs. Vertical scaling Need for NoSQL data models
- Multi tier data layer is becoming norm Factors influencing Real time / Offline Analytics Adaptive / Predictive Analytics Schema flexibility and relation between entities
- Statistical computation demand processing power computing standard deviations for large data sets slows down system Simpler approximations also do a good job Analytics in Clinical Decision Support System Drug & Drug Interactions Drug Recommendation Engine: compute effectiveness of drugs by Adaptive analytics We used cloud based Hbase system for distributed computing Z-score optimized with ranking based on %distribution of positive and negative observations The normalized results are near to large scale z-score based computing in large cluster environment
- Physical separation of data in Virtualized storage More granularity of visibility and control Cost vs. Security balance Multi Tenant (Storage) Encryption (CPU)
- Filtering: Using an intermediary layer between a tenant and a data source that acts like a sieve, making it appear to the tenant as though its data is the only data in the database. Permissions: Using access control lists (ACLs) to determine who can access data in the application and what they can do with it. Encryption: Obscuring every tenant's critical data so that it will remain inaccessible to unauthorized parties even if they come into possession of it.