Integration and Data Management In The Cloud Gary Palgon VP Healthcare Solutions

Transcription

2 What We ll Discuss Challenges of data acquisition and management Cloud-based Services Definition, Benefits and Challenges, Addressing Risk Case Studies Supply Chain (B2B) Clinical Trials Sales and Marketing Internal Application Integration (A2A) What the future holds for cloud services in healthcare 2

3 Challenges of Data Acquisition and Management Integration is difficult With many different partners Point to point connections Using different protocols and formats Homegrown and proprietary systems Multiple consumers of data with different needs / demands Manual and time-consuming processes Limited visibility of management process Siloed work processes hinder smooth data transitions Standardization is challenging Varied languages and semantics, some with relationships and others with unrelated data needs Attrition, mergers, and uncertainty of current business 3

4 Clinical Trials Outsourcing and IT Overload Drug Development IT Services Integration, Transformation Clinical Trials Patient Recruitment Clinical Trial Backlog Outsourced Globally IT Services Integration, Transformation Outsourced to CROs 4

5 Clinical Trials Outsourcing IT Overload Clinical Trial Backlog Outsourced Gobally IT Services Integration, Transformation Outsourced to CROs Elastic Capacity 5

6 Cloud-based Services: Definitions Cloud technology supports three specific layers of service that build upon each other: Layer 3 Layer 2 Layer 1 Software as a Service (SaaS) Platform as a Service (PaaS) Infrastructure as a Service (IaaS)

7 Cloud-based Services Cloud services are optimal when used to: a) Provide flexible / elastic capacity b) Localize / quarantine complexity b) Create new or enhanced utility from discrete services Capacity: Low Variation/Predictable: In House High Variation/Unpredictable: Cloud Model Application Functionality or Data: Company Centric: In House Function or Industry Centric: Cloud Model 7

8 Cloud-based Services Cloud services value proposition: Costs are leveraged across a broad community of interest providing all parties with economies of scale (nothing new here). Capacity planning becomes statistical versus event driven and thus the cost per unit profile favors the Cloud model. The Cloud provider is able to build and maintain focused expertise to better address complexity than any one user of the service (this is key). The Cloud service acts as a point of convergence for dispersed knowledge, data, application functionality, etc.. A Cloud broker can effectively act as a coordination point to knit together the delivery of discrete Cloud capabilities into a unique offering Cloud brokers aggregate Cloud services without negatively impacting the economics or business models of other participating Cloud providers 8

9 Taxonomy for Cloud-based Services Users of Cloud services Dynamic needs across a wide range of applications and services Growing variation and volume of data needed to drive the business Regulatory Compliance necessitates a somewhat reactive posture Infrastructure & Data Centric Services Application Centric Cloud Services Insulated from complexity to keep the business model intact Very focused and optimized in a specific business process or use case Leverage and scale is the key to sustainability and business health Users Big Data Cost Controls Innovation Compliance Time to Market Complexity Buffer Workflow Rules Engine Semantic Integration Data Translation & Harmonization Complexity Buffer SFA CRM HR USERS CLOUD BROKERAGE Other Cloud Brokerages CLOUD APPLICATIONS Bridge the needs of Users and Application centric Cloud Services Business model is built on embracing and managing complexity, providing a simplified interface to both Users and Cloud Service Providers 9

10 Benefits and Challenges of Cloud Services Benefits Operational vs. Capital expense Pay as you grow no, low startup costs Can store and manage large scale data Scale and agility on demand Commoditized services handled by 3 rd party Business can focus on core areas of expertise (application/use) Challenges Trust and privacy (security) Availability, reliability and scalability Relatively new technology: production use, lack of standards Regulatory and legal issues How do you deal with multiple clouds? 10

11 How to address cloud provider risks Service Level Agreements (SLAs) Access Control Attention to Data Security Business Continuity / Recoverability Provider Financial Stability Regulatory Compliance Define expectations and consequences up front Determine who has rights and access to information including cloud provider Ensure all data is secured, in-transit and at-rest Ensure that cloud provider has ability to recover lost data Must be financially stable, formidable organization since engaging in partnership Ensure they are compliant with global laws associated with the functions they are performing e.g. don t share information across country borders 11

13 B2B Integration - Objectives Reduce complexity and centralize partner integration Integrate with all supply chain partners globally Remove point-to-point connections linking islands of data Increase integration capabilities and reduce time Exchanges with large partners and small specialty research firms Speed up time to connect with little lead time Enable agility and flexibility with partners Be able to adjust to partner processes and requirements Standardize approach while enabling real-time, event-driven integration Reduce costs Reduce internal costs through operational efficiencies Streamline processes by efficiently using external resources 13

14 ESB B2B Integration - BEFORE Order To Cash ERP IDOC On-boarding Connectivity Integration Transformation Message Delivery Visibility Support cxml Source To Settle cxml OAGIS/XML Logistics OAGIS /OAGIS OAGIS Enterprise s

15 ESB B2B Integration - AFTER ERP Order To Cash IDOC OAGIS / XML Source To Settle cxml On-boarding Connectivity Integration Transformation Message Delivery Visibility Support cxml OAGIS /OAGIS OAGIS Logistics Enterprise s

16 B2B Integration - Solution Solution Cloud-based Integration and Transformation Platform with Managed Services Multiple Integration Methods/Protocols and Any-to-Any Data Transformations Multi-lingual Support Results Enabled elastic model to link business partners and begin to quickly exchange critical business information Business Value Fast time to exchange Global reach with one connection to all supply chain partners Cost efficiency with elastic capacity Process simplification with change insulation (One format OAGIS for data exchange) 16

18 Clinical Trials - Objectives Reduce time Reduce the number of days required to flow clinical trial data used for analysis Achieve scalability Address growing volumes of data and connections when increasing the number of clinical trials Streamline data mapping processes Map key clinical trial data to standard formats Reduce costs Accelerate and streamline processes by efficiently using offshore resources Enhance data quality Improve data integrity, reliability and completeness of information in the clinical data repository 18

19 Clinical Trials - BEFORE LAB CTMS Data Hub Safety Connectivity Messaging Transformation Harmonization Validation Visibility FDA CRO CDMS SAS JV EDC Enterprise s

20 Integration Bus Clinical Trials - AFTER LAB CTMS Safety FDA Data Hub, API, WS*, STDM, MFTaaS CRO CDMS SAS Connectivity Messaging Transformation Harmonization Validation Visibility JV EDC Enterprise s

21 Clinical Trials - Solution Solution Cloud-based Integration and Transformation Platform Multiple Integration Methods/Protocols Multiple Data Formats: Any-to-Any Transformation and Translation Results Accelerated data flow processes, provided greater ability to change and improved problem resolution Increased capacity to handle simultaneous clinical trials Business Value Increased speed of integration, translation and transformation of data with partners Reduced costs while enabling unlimited scalability of integration and transformation/translation Positioned to more easily assimilate new businesses 21

23 Syndicated Market Data Intelligence - Objectives Increase Business Intelligence Visibility Increase visibility into retail consumption (sales) Reduce Time and Effort for Access Reduce the amount of time to make the data available and usable Reduce the manual effort to prepare the data for analysis Reduce IT Complexity for Use Limit involvement from IT for Sales and Marketing to use information Position for Additional Analysis Enable a platform to perform additional related analysis 23

24 Manual Processes Syndicated Market Data Intelligence - BEFORE Analytics Flat File On-boarding Connectivity Transformation Normalization Message Delivery Visibility Enterprise s

25 Central Interface Syndicated Market Data Intelligence - AFTER Analytics S A P IDOC Flat File Flat File On-boarding Connectivity Transformation Normalization Message Delivery Visibility Enterprise s

26 Syndicated Market Data Intelligence - Solution Solution Cloud-based Integration and Data Harmonization Platform Data translation and transformation of any formats (incl. Corp Standard) Data normalization / harmonization Results Automated collection and harmonization of information making it rapidly visible Single data repository of harmonized data Business Value Increased speed of data assimilation and harmonization for analytics while reducing complexity Reduced costs while enabling unlimited scalability of integration and transformation/translation of market data Enabled global reach with one connection to all data providers Provided data acquisition foundation for all business analytics 26

28 Application to Application Integration - Objectives Integrate multiple application integration platforms M&A deadlines require integration in timely manner Enable single place for integration, validation to take place Unify platform for interfaces and mapping Reduce ongoing support costs and complexity Reduce the amount time and number of days required to integrate applications Achieve scalability Provide a model which allows for additional scalability and high performance as needed 28

29 Application to Application Integration - BEFORE CTMS Safety FTP,RFC SAP MRP CDMS Data Hub SAS JDBC,FTP FTP JDBC, HTTP FTP,AS2, HTTP,SM TP,RFC APP CRM SOAP SRM Connectivity Integration Transformation Orchestration Transaction Mgmt Messaging Visibility

30 Application to Application Integration AFTER CTMS Safety SAP MRP APP Data Hub CRM SRM CDMS SAS Connectivity Integration Transformation Orchestration Transaction Mgmt Messaging Visibility

31 Application to Application Integration - Solution Solution Cloud-based Integration Platform with Managed Services Results Complete integration functional replacement Provide platform-independent mapping solution Enhance visibility through dashboard with exception alerts and notifications Business Value Meet regulatory and corporate integration requirements Provide a long-term, cost efficient solution for internal application integration Enable an agile model to support business adaptability to market dynamics (M&A) 31

32 What the Future Holds Cloud services will provide component services for overall solutions aas apps Acquisition, aggregation, transformation, validation, etc.. Authorization, Consent Management, Integration, etc.. Knowledge / Information / Data as a Service Real-time access to information, on-demand Weather information meshed with EKG information for migraine analysis Cloud Services Brokerage Link On-demand integration, transformation, translation Facilitating community management Any protocol, any format, any time 32