Data Governance in Healthcare

Auckland District Health Board
Establishing Enterprise-wide Data
Governance
CDAO New Zealand
Data Governance Focus Day
Tuesday 5th November, 2019
Sofitel Auckland Viaduct Harbour
Speaker
Ali Khan
Head of Data

Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua
Three things to remember
2
Business Outcomes Non Invasive Thing Big, Start Small

About me
• 20+ years in IT and Data
• Enterprise transformation and data
migration projects
• Data governance implementations
• Industry data models
• Pervious life - Design and
development of n-tier web
applications and solutions
3
Introduction
Flat  40 km/hr
Downhill  60 km/hr
AVID E-scooter rider – my last mile solution

About ADHB
• Auckland District Health Board (ADHB) serves around 10
per cent of the country's population
• Provider of primary, secondary, tertiary and quaternary
services for around 1.6 million people in the northern
region.
• Regional and national centre of excellence
• Major teaching & research hospital
o Aligned to University of Auckland
o 354 new research projects commenced at ADHB in
2017-2018 year
4
Introduction

Some Key Statistics
• Our population is diverse (ADHB Region)
• More than one million patient contacts
each year
• One of the highest life expectancies of any
DHB in the country at 82.9 years
• 10,846 employees
• 1,800 medical staff
• Between 2011 and 2016, Auckland’s
population increased by 154,700 (+10.6
per cent)
5
Introduction

Key Healthcare Statistics – ADHB Region
6
Introduction
Life expectancy at birth for females and males, 1996 and 2016
SOURCE: IHM (2016)
Years in poor health for females and males, 1996 and 2016
SOURCE: IHM (2016)

What does all this mean ? – Ministry of Health Annual Report 2013
7
Introduction
Growth in healthcare costs vs GDP - NZ
Healthcare costs – Historical & Projected

Our goal as a health system
8
The Challenge
WELLBEING
to ‘Team’
EPISODIC ILLNESS
From ‘Individual’…
View (Portal, Letter, TXT, Facsimile) Do (Actionable, Accessible and Interactive)
• Connected data across care settings
• Artificial Intelligence
• 3D printing
• Big data
• Internet of things
• Natural language processing
• Virtual and augmented reality

The Challenge
9
Data Governance
• Complex systems landscape
• 700+ systems
• Many legacy systems nearing
end of life
• Overworked workforce

Our Philosophy
10
Data Governance
01
Governing Data To
The Least Extent
Necessary
02
Broad Vision, Start
Small, Expand
Incrementally
03
Front-line
Employees As Data
Stewards
04
Data Governance
Office

Challenge, where do we start ? What is our philosophy ?
11
Data Governance
DAMA DGI – Data Governance Framework Data Maturity Models

Our Implementation Approach
12
Data Governance
Phase 1
Understand the
Business
Phase 2
Define Scope &
Operating Model
Phase 3
Communicate
& Build Support
Phase 4
Launch Governance

Phase 1 – Understand the Business
• Built mind maps of the business
through discussions and table top
reviews
• Understood the systems at a high level
• Build some institutional knowledge
(hired a BA / SME)
• Identified key stakeholders who can
effect change and created a stakeholder
plan
13
Data Governance
• Find key people in each area who
work with the data i.e. the operational
data stewards
• They will understand the issues and
the systems but most importantly
what issues are worth fixing
1

Identify Key Stakeholders
14
Data Governance – Phase 1 1
Patient
Day / Inpatient
S
O
Lisa Cunningham
?
Patient
Outpatient
S
O
Sarah Danko
?
Patient
Theatres
S
O
Louise Larsson
?
Clinical Coding
S
O
Mary Thompson
?
Clinical Records
S
O
Mary Thompson
?
Radiology
S
O
Nicola O’Carroll
?
Laboratories
S
O
Glen Devenie
?
Child Health
S
O
Sarah Jamison
?
Ophthalmology
S
O
Rebecca
Stevenson
?
Community
S
O
Jennie Montague
?
Mental Health
S
O
Patrick Firkin
?
Pharmacy
S
O
Rob Ticehurst
?
Human Resources
S
O
Peter Jackson
?
Finance
S
O
Nikki Hill
?
HIT / Applications
S
O Werner Botha
Women’s Health
S
O
Lynn Sadler
?
Clinical Research
S
O
Thomas Hills
?

Emerging Themes
15

Have some very clear examples where governance would help
16
Data Governance – Phase 1
Issue
The e-referral system currently does not provide a list of categories and subcategories for the referral reason. It contains a free form text field for use
by doctors who can type a free text description for this reason.
Clinical Usage & Impact
We triage referrals and give a priority score, write notes for the scheduling team, and can send clinical advice back to referrers. We would like to be
able to classify referrals (e.g. using a dropdown menu) as falling into defined referral categories (e.g. ‘anaphylaxis’, ‘drug allergy’, ‘immunodeficiency’,
etc.) to improve the data collected at the point of first referral to our service. This would allow us to look back and audit how quickly we are seeing
patients within a specific referral category (e.g. ‘anaphylaxis’).
Governance Action
1. The governance support team would work with the requestor (and other ADHB teams e.g. portfolio managers, performance improvement etc.) to
define the business issue, understand who else would benefit from the addition of these fields, the potential business value and the data and
system changes required.
2. The Data Governance Forum would endorse the addition of the new fields to the E-Referral system as well as the values they contain. This would
be submitted in the form of an options paper which would be socialised and approved by impacted directorates prior to governance submission.
1

17
Business Issues
Register
Initial Data
Catalogue
(domain level)
Stakeholder
Register
Org Charts
CMS
PHS
PiMS/ iPM
( Theatre
)
NHI
ACC
eLodgement
ePharmacy
CBORD
CMS
Enquiries
CHiPS
CMS
Context
CRTS
Booking
System
CMCS
Healthware
3M HIS
Endoscopy
PACS
CTSU
Scheduler
Regional
Visit View
Delphic
Éclair/
Testsafe
Soprano
Meddocs
Soprano
EDS
OCA
Web1000
ProSolv
Colposcopy
MFM
Viewpoint
Scope
Orthoscope
Bed Board
Bed
Management
NBRS
Reporter
MoH
Reporter
NNPAC
Reporter
CMS Admin
Tools
Concerto
ClinDocs
RIS
ROERS
PRIMHD
TDoc
ARIA
HCC(3)
Titanium
System Context
Diagrams
Initial List of
Data Stewards
Data Governance
Office
1

What types of governance challenges are relevant to us ?
18

A governance structure including relevant existing governance bodies
19
Data Governance – Phase 2 Define
Digital Steering
Committee
Data Governance Support
Office
Ali Khan, Bonnie Yi, Others (as work
increases)
Data Stewardship
Council
(membership to be agreed)
Working
Group(s)
(as required)
Role:
• Approve DG
Strategy
• Final point of
escalation
Membership:
ELT
Cadence:
• Weekly
Role:
• Provide a data governance mandate across
business
• Provide strategic direction
• Point of escalation
• Approve data governance strategy & priorities
• Provide funding where deemed a priority or escalate
to ELT for support
• Strategic guidance as required
Membership:
• Joanne Gibbs, Michael Shepherd, Mark Edwards,
Greg Williams, Ian Costello, Rob Sherwin, Meg
Poutasi, Sheryl Jury (WDHB), Shayne Tong, Nichole
Leyland, Nigel Andrews
Cadence:
• Monthly
Role:
• Frontline view of our data challenges
• Set operational & strategic data priorities
• Key group of people to guide governance for
operational outcomes (real value !!!)
• Propose data stewards who can make decisions on
the form of data
• Define DG charter
Membership:
• Business leaders, domain data stewards,
operational data stewards
Cadence:
• To be agreed
Role:
• Provide topic specific leadership where extra
facilitation is required
• Formed around key initiatives or domains
• Example groups could include: RCP data
remediation, HARP data management, Domain
specific – Patient/Booking
Role:
• Operational management
and delivery of data
governance across ADHB
• Running data governance
committees and working
groups
• Facilitating workshops
• Writing governance
papers and presentations
Membership:
• Ali Khan (lead),
• Bonnie Yi (BA)
• Data Architect / Modeller
(part-time)
• Data Analyst (part-time)
Information
Governance & Privacy
Group
2

Adopted a 6 pillar model focus governance
20
Data Governance – Phase 2 Define
Data Management
Vision & Strategy
Enterprise
Transformation
Data & Digital
Architecture
Business Data
Operations
Data
Governance
Data Quality
Management
Based on CMMI institute’s data management maturity model
2

21
Data Management
Framework
Governance
Structure
Operating Model Library of
Tools
2

22
Data Governance – Phase 3 Build Support
& Communicate 3

Socialise governance recommendations and responsibilities with key stakeholders
23
& Communicate
Activity Role of Data Stewards / Council Data Governance Support Office
1. Develop Information Catalogue • Provide focus areas (immediate gaps etc.)
• Approvers of content
• Establish tools (web presence, knowledgebase, EA Sparx
repository)
• Develop artefacts
• Engage with data stewards community
2. Develop data sharing processes • Provide input
• Endorse processes
• Establish working group
• Develop processes
• Create DG Options paper
3. Review / clarify data access processes • Feedback and guidance • Clarify processes / operating model
• Develop tools if needed
4. Working group for NHI alignment • Provide guidance
• Lead working group
• Operate working groups
• Perform data analysis
• Develop recommendations
5. Working group to approve data governance charter • Review charter
• Endorse charter
• Refine data governance charter (we have created a proposed
charter – needs to be updated based on today’s decisions)
6. Working group for HARP (at the right time) • Provide input
• Make decisions
• Work alongside project resources to document data
governance issues
• Create DG options papers
• Develop information catalogue and models
7. Follow up with Tom and Rob to progress changes to referrals • Provide input
• Make decisions
• Refine concept to validate value
• Develop DG options paper
3

What does data stewardship mean to ADHB ?
24
& Communicate
“Data Stewardship is concerned with taking care of data assets that do not belong to the stewards themselves.
Data Stewards represent the concerns of others.
Some may represent the needs of the entire organisation, others may be tasked with representing a smaller
constituency: a business unit, department, or even a set of data themselves.”
3

25
Agreed Issue list Key
Stakeholders
Onboarded
(clinical &
operational)
Roles & Scoe
3

Ensuring that minimal work is allocated to data stewards
• Formalise endorsement of data governance initiatives
• Agree working groups and membership
• Publish minutes to governance “lock in”
• Issue Memorandum to acknowledge commencement
of data governance
• Define scope and objectives for each working group
26
Data Governance – Phase 4 Establish
Mandate & Mobilise 4
Digital Steering
Committee
Data Governance Support
Office
Data Stewardship
Council
Membership confirmed
Charter /
Operating
Model
Data
Sharing
Working
Group
NHI
Working
Group
Information
Governance &
Privacy Group

Dec 2019
• Data sharing – current state analysis
• Launch information catalogue
• Review data access processes
• Agree NHI data owner, domain data steward
• Finalise NHI business case
Dec 2020
• Establish MDM controls for HARP
master and reference data
• Define data stewardship
requirements
Jun 2019
• Establish data stewardship council
• Form NHI working
• Draft data governance charter
• Draft data governance operating
model
• NHI working group
• Data Sharing working group
July 2020
• Launch HARP working group
• Implement new data sharing processes
• Launch ADHB data sharing processes
• Complete Women’s Health data bank
business case
• Launch IM Portal & Wiki
Jul 2021
• Select & implement data
governance tool
B E G I N
Data Governance Roadmap
27

Data Governance Framework
28
BAU Data Management Projects Data Delivery Regional & National Data Collaboration
Business Data
Operations
• Business Data Requirements
• Business Functional Model
• Business Glossary
• Data Catalog
• Enterprise Data Dictionary
• Data Issues Register
• Data Lifecycle Management Plan (Key Data Domains &
Systems)
• BAU Impact Analysis Template
• Data Acceptance Criteria / Handover Checklist
• Data Quality Controls
• Data Quality Metrics & Reporting
• Regional Data Requirements
• Data Sourcing Harmonisation
Data Governance
• Data Quality Community Of Practice
• Data Stewards Working Group
• Data Governance Committee
• Data Privacy & Security Committee
• Communication Plan
• Stakeholder Management Plan
• Data Sharing Register
• Data Governance Policy
• Project Data Requirements Checklist
• Project Delivery Model (Data Stream)
• Regional Data Governance Authority (RDDA)
• Regional Data Governance Working Group
• Regional Business Demand Register
• Regional Data Initiatives Register
• Regional Data Operating Model
• Regional Data Sharing Register
Data Quality
Management
• Data Quality Framework
• Data Quality Metrics / KPI’s
• Data Cleansing & Co-ordination
• Data Initiatives Register
• Data Quality Toolkit
• Data Quality Issue Register
• Data Standards
• Standardised Reference Data
• Data Quality Controls Checklist
• Data Interoperability
• Regional Data Standards
Enterprise
Transformation
• Data Stewardship
• Data Sourcing
• Data Cleansing & Co-ordination
• Project Data Governance
• Data Migration Planning
Data & Digital
Architecture
• Domain Data Model
• Digital & Data Management Platform
• Data Quality & Reporting Platform
• Enterprise Context Diagram
• Data Classification Scheme (Enterprise Vs Local)
• Data Architecture Principles • Regional Data Management Platform
• Regional Data Model
• Data Sourcing Architecture
Data Management
Strategy
• Data Management Strategy
• Data Literacy Programme
• Education Programme
• Key Data Initiatives
• Data Management Plan Template
• Data Migration Principles
• Data Migration Planner
• Guiding Principles
• Regional Data Management Vision
• Regional Data Strategy (Including Interoperability)

THANK
YOU

Data Governance in Healthcare

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to Data Governance in Healthcare

Similar to Data Governance in Healthcare (20)

Recently uploaded

Recently uploaded (20)

Data Governance in Healthcare