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(1)

Cleansing and Categorizing Data to

Improve Supply Utilization

Adventures in Orthopedic

Data Management

October 15, 2015

Kurt MacDonald

(2)

Topics

Overview of Trinity Health

Supply Chain Strategic Plateaus

Informatics Infrastructure

Data Classification

Metrics/Key Performance Indicators

Tools: Reports and Dashboards

(3)

Trinity Health

(4)
(5)

Supply Chain Strategic Focus

Achieve the lowest cost for the highest quality Products and

Services across our Ministries through engagement with

Ministry Leadership; alignment with Physicians, Clinicians,

and others who are driven by outcomes and data with a

focus on supporting the vision of stewardship and care

excellence across Trinity Health.

Achieved by excellence in:

Logistics – (Supply Chain Operations)

Pricing (Sourcing)

Value Analysis (Infrastructure/utilization management)

(6)
(7)

Objective: Clinically Driven Supply Chain

To support the goal of a Clinically Driven and Integrated

Supply Chain Trinity Health:

Recognized the need to provide usable data to identify cost and

utilization patterns

Acknowledged supply cost per case is elusive

Defined requirement to capture Orthopedic Joint and Spinal

Hardware Implants by line item costs and identify waste at the

patient case level

Supply Chain

Inventory Management

Inventory Management

Technology

Technology

Analytics

Analytics

Utilization

Utilization

Expense Management

Expense Management

Need:

Integrated

Reporting

System

Clinical

Practice

Patient

Care

(8)

How to Achieve a Clinically Driven Supply Chain

Design systems to support identification of implants and

tie their utilization to metrics

Utilize systems of data already available

Create capture tools

Develop reporting systems

(9)

Producing Information

Presentation Layer – Executes report logic

Provides summary level data with ability to drill to detail

Data Mart Layer - Performs Complex Joins

• Collects and processes the Transactional Level data

Data can be used in ad-hoc queries

Transactional Level - Input

• Detail on product supplies

• Several hundred tables of data

(10)

Information Keys

Rely on ability to Classify Data

Data must be collected or transformed into a common

classification for aggregate and comparison analysis

• Access specific standard created by third party

Ortho/Spine Implants use Mendenhall and Associates (ONN)

• Generic Implant Code (GIC)

Must be available on a timely basis

Provide summary level data with ability to drill into detail

Produce monthly reports and post to Analytics Portal

Have to show benchmarks

Provides metrics on utilization and KPI’s

Utilize Traffic Lighting (red/yellow/green)

Graphic and tabular formats

(11)

Importance of Data Classification

Creates the ability to compare data with confidence

Clinicians and Physicians trust the information

Opportunities are more easily identifiable as variances

stand out

Creative sourcing strategies can be positioned

(12)

Classifying Data at Entry Point

The process of

classifying starts

HERE:

We input our case

data as part of our

replenishment

process (e.g.

Consignment – Bill

and Replace or Bill

(13)

Classifying Data at Entry Point

This begins the

“punch out” to

ONN for case

entry and data

(14)
(15)

This also completes the Requisition

No duplication of

data entry

Procedure

Input Case

Database

Metrics

Replenishment

(16)

Importance of Metrics

Generates scorecards with meaningful measurements

Allows for benchmarking of utilization

Provides standard language for comparison

Sourcing strategies can be positioned

Provides a platform for engaging with Physicians /

Surgeons

(17)

Strategic Sourcing Implant Database (SSID)

The Database was developed to give the System and its

hospitals access to detail of implant spend and utilization

by providing:

Visibility to type of implant used, accessories, and up-charges

Implant information by Patient and Physician

Benchmark pricing and volume utilization across hospitals

Ability to send data to external databases

Electronic Implant Log to meet regulatory requirements

(18)

Strategic Sourcing Implant Database (SSID)

Database Statistics:

Began data collection of Orthopedic Joint cases July 2007

Began data collection of Spine cases June 2009

175 trained associates who actively input case data

Supports:

Strategic Sourcing of Orthopedic Joints, Spine, Orthobiologics

Sending supply and cost data to Clinical and Revenue Systems

Identification of variation in cost and product utilization per case

Database represents:

183,000+ in patient cases

(19)

Strategic Sourcing Implant Database (SSID)

Key Performance Indicators:

Volumes, Cost, Revision Cases, Reimbursement, Waste, LOS

• Hardware costs - Implanted items

• Total Costs – Inclusive of Hardware AND significant per patient items

used to implant product (e.g. Cement or items used to supplement

implant such as orthobiologics)

Real Time Selections Available:

By Hospital(s), Procedure, Construct, DRG, ICD, Physician,

Vendor

Time Periods – All years of data, Month, Quarter, Fiscal Year

Comparisons

Added information for physician report:

(20)

KPI’s include: Case Volume, Cost, Waste, Revisions, and

Reimbursement

Becomes the mechanism to monitor cost, volume trends,

and establish benchmarks across the health system

Available through the web via Trinity Health Analytics

Portal

(21)

SSID & The Implant Executive Dashboard

(22)

SSID and the Clinical Data Warehouse

Implant Data is exported to Clinical Data Warehouse

Used to review with physicians opportunities for improvement in

cost and utilization

Information is available by hospital and drillable to patient

case and physician level

(23)

Spinal Fusion Clinical Cost Metrics

SSID and the Clinical Data Warehouse

Spinal fusion cases needed additional data elements to

produce more meaningful information

(24)

New Dashboard – Bone Cement

Results:

• Created

guidelines for

number of

units used per

procedure

• Created clinical

protocol for

type of cement

utilized

(25)

Snapshot of Results

Orthopedic Joints – Fiscal Year End

Key Performance Indicators Trending in Positive Direction

Orthopedic Joints – Fiscal Year End

(26)

Snapshot of Results

Orthopedic Joints – Fiscal Year End

Key Performance Indicators Trending in Positive Direction

Spine Fusion Cases – Fiscal Year End

(27)

Show Me the Data - Examples

(28)

Examples of How Data is Used

Identification of HOSPITAL benchmarks (cost per case)

Identification of PHYSICIAN

benchmarks (cost per case)

(29)

Examples of How Data is Used

Cost by Part Number,

Construct, etc.

Development of

Part Number

Target Prices

(30)

Examples of How Data is Used

Vendor

Strategy

Physician

Alignment

(31)

References

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