Operational Efficiency in the Health Sector

Operational Efficiency in the Health Sector Vikash Appanah Principal Applications Consultant SADC Region 1

Operational Complexity 2

Decentralization of Medical services Operational Challenges Data Everywhere Maintaining Assets & Medical Equipment Inventory Management Drugstores Supply Chain Management Management Challenges Managing Staff Standardized service 3

Headlines in the Health sector 4

Oracle Healthcare Mission Seamlessly integrate information and processes to drive the continuity of patient care Maximize efficiency and reduce operating costs Effectively manage both corporate and clinical risk Improve health awareness, patient satisfaction and actively manage long term condition patients Improve clinical outcomes through an integrated view of healthcare information. 7

Oracle Healthcare: A Complete Portfolio Business Performance Financials Supply Chain Human Resources Strategic Planning Talent Management Advanced Controls Value Chain Planning Grants Management Healthcare Analytics Financial Performance Supply Chain Analytics Human Resources Analytics Cost Accounting Translational Research Analytics Molecular Medicine Clinical Performance Operating Room Healthcare Management Platform Health & Disease Management Patient & Clinical Portal ecommerce Patient Discharge Mgt Healthcare Retail Solutions Translational Research Solutions Healthcare Cost Management Infrastructure & Mobility Security Care Giver -Mobility Identity Exchange 3CI Master Data Management Interoperability and Integration Master Patient Index Healthcare Data Model Collaboration HIE Solutions ACO Solutions- Coordinated Care NHIN Connect Medical Device Integration Care Management and Partners Epic Cerner McKesson Allscripts GE Orion Siemens 8

Supply Chain Framework in Public Health sector 9

What The Industry is Looking For in ERP STRATEGY 10

Oracle Healthcare Solution Focus Health Management Operational Efficiency Analytics 11

Solution Overview Operational Efficiency Human Capital and Workforce Management Process Efficiency and Effectiveness Finance and Business Strategy Cost Management Master Data Management Value Chain Planning Cloud Offering 12

Warehousing Trends Supply Chain Visibility & Risk Multi-Channel Fulfillment Increasing Order Volumes Mobility Increasing Regulations Collaboration & Social Network 13

Warehousing Challenges Support Business Growth Meeting Patients Expectations Improve Productivity Integrated Fulfillment New Health Centers Aging Population Deliver prescribed drugs Shelf life control SLA for delivery Streamline material handling & exceptions Align warehouse plan with transportation Coordinate warehouse & Stock level 14 14

WMS: Business Impact Value Chain Transformation ROI Best in class Examples 99+% inventory accuracy 40% decrease in safety stock 30% increase in labor productivity 25% decrease in order picking time 30% decrease in handling cost/unit 15 BENEFITS Streamline end-to-end fulfillment operations Maximize customer service & value chain reliability Globalization and standardization of processes Reduce logistics and fulfillment costs Monitor supply chain performance to goals Support growth & expansion into new markets Respond rapidly to changing business conditions Provide compliance to customer s requirements

Oracle Warehouse Management Overview RMAs Purchases Transfers RTVs Orders Transfers INBOUND Receive Inspect Cross Dock Putaway Ship Pack Pick OUTBOUND Labor Mgmt Wave Plannin g Kitting WCS Integratio n Label Tailorabl e Rules & Workflow Process Count Replenish Move Transportation Global Trade Purchasing Manufacturing Fulfillment Planning 16

WMS for Healthcare Configure, don t Customize Labels Shelf Life Task Exceptions Lot Numbering Rules Engines Workflow Business Events Extensibility Task Management Putaway Pick & Pack Allocation Flexibility to model your unique processes without customization Reduces implementation time Easy to change and evolve Benefits Increases longterm flexibility & responsivenes s Improves return on investment Lowers total cost of ownership 17

Innovative Industry Applications HIGH TECHNOLOGY Controlling Complex Supply Chains Project Driven Supply Chain Optimize Inventory Rapid Planning CONSUMER GOODS Customer-Centric Demand-Driven Trade Promotion Optimization Demand Sensing Demand Shaping COMMS, MEDIA & ENTERTAINMENT Demand Driven Consumption-Driven Planning Inventory Optimization Customer-Centric and profitable delivery RETAIL AND DISTRIBUTION Respond Profitably to Demand Demand Signal Management Inventory Optimization Consumption Driven Planning AUTOMOTIVE Lowest Cost, Highest Efficiency Production Scheduling Demand Driven Supply Chain Supplier Collaboration AEROSPACE & DEFENSE High Quality; Low Cost; Compliance Project Driven Supply Chain Supplier Collaboration Integrated Business Planning MEDICAL DEVICES Compliance and Efficiency Demand Driven Supply Chain Inventory Optimization Rapid Response to demand and supply changes SEMICONDUCTOR Planning for Extended Supply Chains Supplier Collaboration Binning Planning Support Planning Quality Management PROCESS INDUSTRIES Highest Quality and Utilization Formula/Blending Optimization Quality Yield Planning Service Parts Planning for EAM MANUFACTURING Maximize Efficiency Production Scheduling Demand Driven Supply Chain Rapid Planning and Shop Floor Execution PHARMACEUTICAL Compliance and Efficiency Demand Driven Supply Chain Inventory Optimization Project Driven Supply Chain NATURAL RESOURCES Maximizing Uptime and Efficiency Enterprise Asset Management Service Parts Planning Supply Planning 18 18

Benefits of Oracle Value Chain Planning Reported customer results 40% Reduction in Inventory 50% Better Order Fill Rates 25% Reduction in Freight and Warehousing Costs 5% Improvement in Gross Margins 100% Improvement in Inventory Turns 50% Reduction in Price Protection Claims 19 19

Oracle Value Chain Planning Solution Common foundation Single source of truth Centralized services Start anywhere, redo nothing Planning Data Management Engineered Systems & Solutions Scenario Planning & Analytics Planning and Optimization 20

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