using complex data to solve complex problems · related to complex policy and program delivery...
TRANSCRIPT
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Using Complex Data to Solve
Complex Problems
Scott Sinclair
A/Deputy Minister
Manitoba Infrastructure
• Manitoba is one of the most data rich and data
experienced provinces in Canada.
– Manitoba Population Research Data Repository
• Government has over 2000 business application
systems generating useable and analyzable data.
• Expertise in using complex data across systems and
sectors to measure outcomes such as factors impacting
children across their lifespan.
– MCHP and Healthy Child Manitoba Office (HCMO) have been
using such data to design programs and deliver public services
for nearly 25 years.
Overview
Initiatives in Progress
Data Driven Program Evaluations
Series of on-going quick turnaround data analytics
projects that look at pressing citizen needs and
opportunities to improve public services.
Data Analytics Projects
• Utilization patterns of high-needs clients in multiple
systems.
• Effectiveness of portable housing benefits to achieve
outcomes of reduced reliance.
• Impacts of various child welfare programs on the
outcomes of youth.
• Factors that contribute to the early apprehension of
children.
• The impact of wait lists on the outcomes of children
seeking services from Community Disability Services.
Examples:
Data Analytics Projects
Our Approach
Cross-departmental approach to look at multiple sets of data
related to complex policy and program delivery problems
within short project cycles (Quick Turnaround projects).
• Lessons learned to date:
– Need more resources to develop data capacity
– Focus on data analytics and data science is insufficient
– Conducting data-driven program evaluations and
launching a data science program within Manitoba is
more complexed than anticipated
– Need to mange expectations!
Vision for the Future
• Enhance data by expanding (IT) infrastructure, engaging
data professionals, and identifying program evaluation
needs and opportunities.
• Improve access to data across government (IT and
Legislative).
• Enable access to data while ensuring privacy and security.
• Develop stronger government/non-government
partnerships to increase the province’s data capabilities.
– This includes developing new roles and responsibilities for existing
partners such as MCHP, CHI, and MTP.
• Nurture a data-driven, evidence-based, data science
literate culture within government.
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Complex Data Strategy
C h a r l e s B u r c h i l l
R a d y F a c u l t y o f H e a l t h S c i e n c e s
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Data Strategy – Development
• Stakeholder survey and full-day workshops
• Strengths, challenges, opportunities, risks
• Current environment• Data Analytics
• Data Management
• Database Infrastructure
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Framework, Goals and Objectives
• Framework• To translate complex data into useable knowledge –
Patients, Faculty, Government and Regions, Industry
• Goals and Objectives• Strengthen alignment and engagement
• Enhance data quality and access
• Enhance ability to describe, visualize and model
• Next Steps
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Thank You / Questions
umanitoba.ca/centres/mchp
facebook.com/mchp.umanitoba
@um_mchp
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Provincial Information
Management & Analytics (PIMA)
Transformation in the Manitoba
healthcare system
Panel Presentation to Evidence to
Action Workshop – September 25,
2018
Deborah Malazdrewicz
Manitoba’s Healthcare System
Transformation• Opportunities
– Creation of a provincial health organization
(Shared Health)
– Formation of a Transformation Management
Office
– Re-design of department
• refocus on Policy, Planning, Funding and Oversight
roles
• Modernization of Funding Methods
• Provincial Analytics
Manitoba’s Healthcare System
Transformation
• Need provincially standardized high quality, timely
data
• Business Challenge
o Lack of integration
oComplex governance
o Inability to make evidence informed decisions
o Inefficiencies and duplication
Key Partners Key Activities ValuePropositions
BeneficiaryRelationships
Beneficiaries
Key Resources v Service Delivery
Cost Structure Performance Outcomes
Adapted from the Business Model Canvas (www.strategyzer.com)
Provincial IM&A – Target State
1. MHSAL
2. SHSM
Planning &
System Mgmt
3. Health
Service
Delivery
Organization
4. Research
Organizations
5.Government
of Manitoba &
Communities
5. Governance &
Compliance
2. Reporting
1. Data Mgmt &
Quality
4. Modelling &
Analytics
3. IM&A Support
6. Whole of
Government
7. Open Data
8. Innovation &
Improvement
6. Whole of Gov’t focus
7.Clinical Service Planning
8. First Nations
9. Research Agreements
7. Gov’t Channel (?)
2. Availability1. Quality3. Accessibility 4. Satisfaction
5. Compliance 6. Adoption 7. Predictive Accuracy
1. Set policies & standards
2. Manage Data & Quality
3. Develop models/reports
4. Consult & Train
5. Measure and Monitor
6. Audit (Quality & Compl)
7. Awareness & Comm
8. Enforce Compliance
9. Strategic Vendor Mgmt
10. Strategic Planning
Support
11. Operational Support
12. Business Mgmt of Tools
1. SHSM
(Digital
Health)
3. MCHP
2. SHSM
(Clinical
Governance)
2. BI Tools1. IM&A Staff
3. EDW
4. C-Orgs
(e.g. CIHI,
Infoway)
1. Data Warehouse
2. Policies & Standards
3. MDM & BI Tools
4. IM&A Portal
5. IM&A Service Staff
6. Source Systems
7. IM&A Practices
8. Executive Champion
9. IM&A Service Desk
10. Brand
5. Fed Gov’t
(Ministries)
6. HSDOs
7. Gov’t of
MB
4. Beneficiary Training
5. Dev & Integration Svcs
6. Analytics Investments
1. Data Governance
Council
2. Community of Practice
3. Data Quality
Committees
4. Info Sharing
Agreements
5. Self-Service
1. Request Service Desk
2. Business Intel Tools
3. Reports/Data Set
Access
4. System Interfaces
5. Senior
Analyst/Consultant
6. Classroom & Online
Training
Hilltop Business Solutions Confidential – Not for Distribution
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S e p t e m b e r 2 5 t h 2 0 1 8
A l a n K a t z
M a n i t o b a C e n t r e f o r H e a l t h P o l i c y
2EA MCHP’s Evidence to Action
Annual Workshop
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Thank You / Questions
umanitoba.ca/centres/mchp
facebook.com/mchp.umanitoba
@um_mchp