Source: schmarzo/thoughts-on … Group... · 2016-10-31 · Data Generator And User Data Analyzer...

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Transcript of Source: schmarzo/thoughts-on … Group... · 2016-10-31 · Data Generator And User Data Analyzer...

Page 1: Source: schmarzo/thoughts-on … Group... · 2016-10-31 · Data Generator And User Data Analyzer Government Research Community 1. ‘My’ questions 2. Answers NOW 3. ‘Simple’
Page 2: Source: schmarzo/thoughts-on … Group... · 2016-10-31 · Data Generator And User Data Analyzer Government Research Community 1. ‘My’ questions 2. Answers NOW 3. ‘Simple’
Page 3: Source: schmarzo/thoughts-on … Group... · 2016-10-31 · Data Generator And User Data Analyzer Government Research Community 1. ‘My’ questions 2. Answers NOW 3. ‘Simple’

Source: https://infocus.emc.com/william_schmarzo/thoughts-on-the-strata-rx-healthcare-conference/

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– Data related to healthcare stored in separate but linkable datasets: physician claims, hospitalizations, drug utilization, emergency department visits, etc

– Stores many of Ontario’s healthcare administrative databases for research purposes: databases for all 13 million residents since 1992 are linked

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EVERY study type has

strengths and limitations

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Data GeneratorAnd User

Data Analyzer

Government Research Community

1. ‘My’ questions2. Answers NOW3. ‘Simple’ metrics

/ low complexity4. Need to make

decisions!

1. ‘My’ questions2. Maybe next year3. Simple is

boring…4. Need to publish

and get grants

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Original ODPRN Structure

Rapid

Response

Unit (RRU)

Core

Academic

Unit (CAU)

ODPRN

Ontario Public

Drug Programs

(OPDP)

Ontario MOHLTC

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Original ODPRN Structure

Rapid

Response

Unit (RRU)

Core

Academic

Unit (CAU)

Ontario Public

Drug Programs

(OPDP)

Policy-driven

Projects

Drug Utilization, Costs

Adherence

Drug Safety

Academic

Projects

Cost Effectiveness

Drug Safety

Drug Interactions

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Data Extraction and Analysis Algorithms Example

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Some Uses of Data:1. Understanding patient

outcomes and processes of care

2. Benchmarking3. Quality improvement4. Costing and budgeting5. ‘Predictive Analytics’6. Improving clinical

management

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SMH – Current State of Data Flows / Information

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Other

Possible

Data

sources:

Incident

reporting,

quality

reports,

patient

satisfaction

surveys?

Overall:

Multiple

sources

in/out, no

common

data

structure,

no single

source of

truth

Provincial

/ National

Data

Assets

Regional

Data

Assets

SMH

Local

Data

Assets

Clinical CareResearch / LKS

Knowledge InstituteEducation

Support/

Administrative

Soarian

Embedded

Analytics

Soarian

Clinicals /

Siemens

Pharmacy

Multitude of

Other Clinical

Systems, e.g.,

ADT, EDIS,

SoftLab,

Syngo,

SoftMed

ConnectingGTA

Clinical Data

Repository

OLIS – On-Line

Laboratory

Information

System

Other Standalone

Worksheets,

Access or SQL

DB, e.g,

Neurosurgery

Trauma,

SCC BELOS,

Patient Flow,

NRC Picker Pt

Satisfaction,

Site

Comparatives

Lawson/Infor

Financials/HR/

Payroll, e.g.,

Lab A/R Billing

Workforce

Mgmt

Avega Alliance

for Decision

Support (ADS) /

OCCI

Case

Costing DB

Avega Data

Warehouse

Query

Tool

Resource

Matching &

Referral

IDS – Toronto

LHIN / HHS

Integrated

Decision Support

MOHLTC

Intellihealth

Portal

Cancer Care

Ontario

Wait Times

CIHI

Database –

Including NACRS,

DAD and OMHRS

Existing Smart

Stream

Financial

System, e.g.,

Lab A/R Billing

Other Standalone

Worksheets,

Access or SQL

DB

DRAFT – FOR DISCUSSION

ONLY

Student

Registration

System

Hospital Diagnostic

Imaging Repository

Services

HDIRS

Multiple sources -

individual databases

per research project

Research would want to be

an enterprise data “user”

Manual Data Entry

HRM A/R

Sovera

Document

Repository

HOBIC

(ICES)

MOHLTC

Health Data

Branch

Case Costing

Note: Research would not likely

be an data “contributor” data

to a larger enterprise data

warehouse concept given:

- individual specific nature of

study not of use outside specific

research question

- potential inclusion of non-SMH

data which could not be

accessed outside of research

study

-Research Ethics Board limits

on use of data

A

A

A

A

A

A

Potential Future Flow

Current Flow

Lawson BI

and

Healthcare

Analytics

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Routine ReportsManager-level

Access

Push-Button

Reporting

Basic Drill-Down

Data Exploration

End-User

Needs

Custom ReportsScientist & Analyst

Access

Advanced Analysis

and Statistics

Action

Data Warehouse

Routine AnalyticsAutomated Routine Reports

Basic Ad-Hoc Data Analysis

Examples of Software: Tableau,

Cognos, WebFocus

CHART: Advanced AnalyticsRaw Data Access through R or SAS

Machine Learning / Biostats /

Simulation Modeling

Examples of Software: SAS, R,

MATLAB, VFML

SMH Data and Analytics: Future Visioning

Joint Initiative Between SMH IT and Research

Business

Intelligence Tools

Expertise in

Epidemiology,

Machine Learning,

Simulation Modeling

/ Operations

Research,

‘Traditional’

Biostatistics,

Financial Analytics

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CHART

Management Clinical Research

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