Maximising Business Analytics to drive evidence based decisions in - - PowerPoint PPT Presentation

maximising business analytics to drive evidence based
SMART_READER_LITE
LIVE PREVIEW

Maximising Business Analytics to drive evidence based decisions in - - PowerPoint PPT Presentation

Maximising Business Analytics to drive evidence based decisions in Cancer Care HISA Health Data Analytics Conference 2017 Gary Lakin| CEO |Charm Health Cassandra Schultz | Manager | Aginic AGENDA Current State About CHARM


slide-1
SLIDE 1

Maximising Business Analytics to drive evidence based decisions in Cancer Care

HISA Health Data Analytics Conference 2017

Gary Lakin| CEO |Charm Health Cassandra Schultz | Manager | Aginic

slide-2
SLIDE 2

AGENDA

 Current State  About CHARM™  Understanding the Market  Clinical Data Streams  Engaging with Industry thought leaders  CHARM Business Analytics Solution  Scenario driven demonstration  Business Analytics Delivers

slide-3
SLIDE 3

Current State

 Rapid change, emerging technologies, increasing demand on workforce & cost pressures  Digital transformation  Advanced reporting requirements to support clinical governance  Increasing demand for health data analytics to deliver insights into patient care and service delivery

slide-4
SLIDE 4

About CHARM™

 Australia’s leading best of breed oncology information system supporting therapeutic management of cancer  Charm Health now part of The Citadel Group  Over 75,000 patients have had their treatment managed using CHARM in the past decade  Over 3,500 users at over 100 facilities around Australia & NZ use Charm solutions  Extensive untapped, unrealised data captured in CHARM through routine use

slide-5
SLIDE 5

Understanding the market

 Translating CHARM data to:

– Illuminate health care trends, track diseases, cycle progression and survivorship to support future benchmarking – Monitor protocol variance, provider prescribing patterns and treatment efficacy – Evaluate service delivery and resource utilisation to improve operational efficiencies – Strengthen stakeholder engagement to promote quality and clinical improvement

slide-6
SLIDE 6

Clinical Data Streams

4 critical streams of clinical data to deliver insights:

  • Treatment Pathways - disease groups, disease systems, cycle

progression and completion, death, survivorship

  • Doses of medicines - prescribed vs administered, dose

intensity & frequency, protocol dose variation, Provider prescribing patterns

  • Patient Appointments/Scheduling - service delivery,

resource optimisation

  • Safety and Quality - dosing parameters to minimise adverse

events, optimise patient treatment & outcomes

slide-7
SLIDE 7

Engaging Industry Thought Leaders

Why Aginic?

 Innovative analytics and digital business consultancy  Using cutting edge technology including cloud platforms, in- memory data analytics, web tech & machine learning  Match the right tech with the right user requirements  Deliver advanced, intuitive analytics ready to be actioned  Apply an Agile delivery model  Outcomes focused  Demonstrate rapid results

slide-8
SLIDE 8

CHARM™ Business Analytics Solution

 Data services provided within a database  Dashboard Solution using Qlik  Focuses on Key data streams  De-identified, amalgamated data flows into Data Lake  Interpreted and presented through interactive visualisations  Supports user-driven interrogation and mashups

slide-9
SLIDE 9

Scenario Demonstration

 How many Breast patients have been treated in the past 3 years?  Who are the top 5 treating providers?  What are the 5 most commonly used protocols?  How many of these patients aged between 45- 65 years are still alive  Which drugs are getting dose overrides and by whom?  Which type of appointments have the longest waiting time?

slide-10
SLIDE 10

CHARM Business Analytics Delivers

 Real time comprehensive data surveillance  Insights into patient care and service delivery  Monitor trends in cancer patient populations  Identify business improvement opportunities  Support improved clinical decision making  Drive quality and safety  Support future benchmarking and predictive analytics

slide-11
SLIDE 11

Questions?