Making data useful in the clinical setting Liz Singleton Director - - PowerPoint PPT Presentation

Making data useful in the clinical setting

Liz Singleton Director Business Intelligence Melbourne Health

Melbourne Health

• Employs 9,000+ staff across 33

sites

• Over 76,000 Emergency

presentations and over 101,000 admissions to RMH

• Preparing for an

Electronic Medical Record

Making data useful

• Our Business Intelligence journey
• Examples of clinical collaboration
• Key lessons learnt

Melbourne Health Investment

• Dedicated team & investment
• Separate from IT
• Warehouse expertise
• Strong reporting capability
• Clinical & business expertise
• Establish one source of “truth”
• High data security
• Flexible & scalable solution

The first result…

• Followed broad consultation
• Designed to capture all feedback and ‘needs’

‘One-stop-shop’ approach to development Some people still prefer this one!

New approach

Display

Basic, visual & focused

Detail

Facilitates interrogation & remains relevant

Design

Clear need & audience specific

Collaborating for success

What to build for Nurse Unit Managers?

• Focused topics chosen by the Chief Executive
• 12 initial key measures balanced scorecard
• The top priority identified was Falls
• The next step.. a conversation with NUMs
• Two focus group sessions
• We collected user stories about the data
• We asked them what actions they take

A changed approach

• Basic. Visual. Focused

Time of falls was an “Aha!” moment for some

Always improving

• Basic. Visual. Focused
• Identify patients

who fall more than once

• Facilitate a

validity check

• Added median

Engaging Exec & clinical staff

Ideas nominated by staff

Exec Content experts Design & Refine Wide use Stewards meeting

Over 40 dashboards in use

Collaborating for success practical examples

1.Using patient feedback 2.Working with wards 3.Working with medical staff

Responding to patient feedback

60% 64% 67% 72% 72%

RMH

Peer benchmark data indicated RMH was not providing sufficient discharge information

VHES data Jul 2015- Jun 2016

Responding to Patient Feedback

New application was built

• Survey questions indicated areas
• f success and improvement
• Results by ward and specialty

tracked over time

• Compliments and complaints

received are displayed over time

Responding to patient feedback 50% improvement on pilot wards

Responding to patient feedback

New updates

• Daily data from automated process
• Questions grouped into categories
• Benchmark VHES data included
• Funnel plot for recommender score

by specialty and ward

Working with wards

Supporting improved processes

Before 10am Discharges

Working with wards

“This multidisciplinary effort has led to the best result that our ward has ever recorded”

(Nurse Unit Manager) “Time to review our falls reduction

• strategies. Let’s focus to reverse this

trend please. How many days since you have had a fall? Are they the focus of your rounds and huddles?” (Executive)

Increasing engagement of medical staff

• Appointment of a doctor as

informatics lead

• New Head of Unit dashboard
• Increased focus on research, maps,

and predictive analytics

Lessons Learnt

• Just because you can display data doesn’t mean you should!
• Two key questions before building a dashboard
• Who is the audience?
• What do you expect them to do with the information?
• Display the detail and don’t wait for perfect data!
• Refinement over time is beneficial
• Linking data sources is powerful

Questions