Ward to Board Analytics Advanced Analytics for Hospitals Alex Jennings Q.health Lead, Qubix alex.jenningsQubix.com Roger Cressey Group Director, Qubix roger.cressey Qubix.com Qubix Q.health NHS Hospitals (Trusts) Public Sector Health
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Presentation Transcript
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Ward to Board Analytics
Advanced Analytics for Hospitals Alex Jennings Q.health Lead, Qubix alex.jennings@Qubix.com Roger Cressey Group Director, Qubix roger.cressey @Qubix.com<br>
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Qubix Q.health NHS Hospitals (Trusts) Public Sector Health Private Healthcare Healthcare Consortia Lifescience Orgs Expert Orgs<br>
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Q.health Solutions Visit: www.Qubix.com/qhealth Q.health Advanced Analytics Solution “Ward to board Analytics” for Hospitals Q.health Financial Planning Solution Full Forecasting, Budgeting and Financial Modelling Solution for Hospitals<br>
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Noted Hospital Analytics Issues Tactical Solutions
Investment in point solutions that do not scale Legacy Issues
Siloed Data
Out-of-date technology
Technical Debt Increasing
Security Issues Value Issues
Many manual processes
Unexploited data assets
Unsupported decisions Adoption Issues
Difficult-to-use products
Capability gaps
Lack of adoption
Lack of inter-discipline collaboration<br>
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Why Use Templated Products? Introduce Cloud Platforms
Scalability
No more Legacy
Better Coexistence Comprehensive Capability
Establish broad functionality
Deliver deep capability to core areas
Global Security Model
Automation Speed and Value
Compressed timelines
Avoid CAPEX – no project cost
Reduce OPEX – low monthly charge
Get Best Practice Delivered Better Experience
Consistent tooling
Flexibility / Extensibility
Proper Documentation
Pre-written Training
Support<br>
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Autonomous Cloud DW Oracle PaaS Cloud UX Q.health Advanced Analytics Mobile Browser Analytics Cloud CloudBridge / ODI Integration Source systems Clinical HR / Operational Financial External<br>
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Workforce
Finance
Community Services (Episodes & Events)
Friends & Family
Homeless Health Care
A&E Attendances
In-Patient Admissions
Incident Reporting
Safety Thermometer
Safe Staffing
MIDAS
Potentially Violent Patients SIRI
Patient Experience
Benchmarking
Bed Occupancy
Health Visiting
Risk Registers
Chlamydia Screening
School Nursing Statutory Interventions
Sexual Health
SPCA
Waiting Lists
Usage Tracking Prebuilt Healthcare Content Areas<br>
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Workforce
Finance
Community Services (Episodes & Events)
Friends & Family
Homeless Health Care
A&E Attendances
In-Patient Admissions
Incident Reporting
Safety Thermometer
Safe Staffing
MIDAS
Potentially Violent Patients SIRI
Patient Experience
Benchmarking
Bed Occupancy
Health Visiting
Risk Registers
Chlamydia Screening
School Nursing Statutory Interventions
Sexual Health
SPCA
Waiting Lists
Usage Tracking Prebuilt Healthcare Content Areas Coherent
Data Model Data
Integration Measures
KPIs Content<br>
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Q.health Analytics: Extracting Value Reports Dashboards / SPC / Status Boards Project Analytics / Collaborative Problem Solving Questions / Suggestions Data Science / Machine Learning<br>
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Product Demo... Reports Dashboards / SPC / Status Boards Project Analytics / Collaborative Problem Solving Questions / Suggestions Data Science / Machine Learning Q.health Analytics:<br>
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Autonomous Cloud DW Analytic Cloud Machine Learning ‘Citizen’ Data Scientists
(Business Teams) Data Sci Team Q.health Analytics: Machine Learning Accelerated Twin Track<br>
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“Combining our relevant data to a single source… stopped analysts wasting time”
“The new system future-proofed as much as possible, so what we’re building became a store of value, not a cost”
Steve Wood
MI Manager, Gloucester Health Services Gloucester Care Services now over 32 Sources Integrated to the Solution from the 18 at go-live (9 months on) “We’re now able to work effectively with Clinical and Operational teams as well as Finance Teams”
Matthew O’Reilly
Head of Strategic Business Intelligence, GCS GCS reduced peak monthly breaches of 4-hour KPI by 50% since go-live based on analysis of issue areas NHS BSA (Qubix Customer) Saved the NHS £1.2bn based on anti-fraud Analysis using Oracle OAC Technology<br>
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Q.health Analytics: Results Users : 400 live, 900 soon
Users Groups: Finance, Operational, Clinical Teams
Data Sources: 32+ Sources now Fully Conformed into DW
Data Security: EY-Audited Security Model
Automation : All Data Moves, User Tracking, Reports Delivery
Capability: “What impact did the staffing change have on outcomes?”
Futureproof: ML Pilot, New DV Functionality, Predictions…<br>
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Subject Area Security MIIU Finance Cardio Q.health Analytics Security CC 1 CC 2… Data owner Security<br>
