Design Competition Overview: Seeking the Single Source of Truth SCANH Global Networking Event October 22, 2019
Jove Graham, PhD Mr. Kevin Capatch
SCANH 2017
Source: Spiritus Partners, Inc.
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Supply Chain – Fast Facts •
Geisinger, PA Supply Chain – Fast Facts
Spend > $850 Million / year
o
Device = $380 Million /year
o
Drug = $460 Million / year
•
Item Master Total = 95,721 Items o
Stock = 23,823 Items
o
Non-Stock = 71,898 Items
•
POs •
Stock > 40,000 •
>220,000 lines
•
Non-Stock > 250,000
•
Service> 100,000
•
Contracted Spend >80%
•
Inventory Receipts = 618,000 lines
•
Inventory Issues = 1.3 million transactions
Geisinger Medical Center Danville, PA
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Where we are today? How did we get here? We had data standards, we lacked adoption
Why did we get here? FDA recognized that healthcare lacked a fundamental building block in data standards • Uniqueness - specifically in device identification You can scan a can of coke anywhere in the world today with a U.P.C
Industries built on standards are successful
Sources: (1) http://blog.mixerdirect.com/blog/coca-cola-drink-unites-whole-world/ (2) https://commons.wikimedia.org/wiki/File:GTIN_Barcodes_of_coke_bottles_-_what_you_see_and_what_the_barcode_scanner_see_2_IMG_2908_2913_2919.JPG 8
Problem Statement: The SCANH Design Challenge • This Design Competition is an opportunity for global industry experts, solution providers or shared services organizations to team up with a health system to develop a solution design that addresses the objectives of the HTG challenge. • These collaborative teams are intended to build capacity to advance the transformation of health system supply chain by creating solutions that enable health systems to overcome the challenges of data inaccuracies, data structure that is inconsistent across various sources, to support flow of product data as a “single source of truth”.
GDSN
GUDID Source: Martin & Black, HMMC Presentation, 3/12/15
Why is Single Source of Truth So Important? 1. Truth = Dollars – (Capture the cost per case) 2. Truth = Scaling – (Bringing together data across the healthcare continuum) 3. Truth = Safety – (Eliminate expired/recalled product from the shelf) 4. Truth = Research – (Connecting UDI to outcomes – What works & what doesn’t) 12
Source: “What if data standards in grocery stores worked like in healthcare,” Intermountain Healthcare. https://www.youtube.com/watch?v=zJyOHYOmvcM
The Data to Drive Decisions: Truth = Dollars
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Supply Procedure Cost Report
Individual Physicians Names Removed 15
PRODUCTS USED DETAIL REPORT
Dr. A Dr. B Dr. E
Dr. C
Manufacturer Names Removed Dr. D
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Truth = Scaling Continuum of Care Acute
ASC's
SNF's, LTC & Rehab
Physician Offices
Home
• Hospitals are becoming vertically integrated • Go from physician to Hospital etc.
• Value Based Care • Decreasing Variation across the continuum
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Enterprise Visibility
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Truth = Safety Before
Function
After
Invisible
Inventory
Visible
Hunch, buy bunch
Ordering
Levels
Hope we catch
Expiration
Automatic
Hand entry
Data Entry
Scanned Entry
Search
Recalls
Report
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Truth = Outcomes Research = Total Product Lifecycle
BUILD Distributed Data Network
UDI to Claims Materials Management
Point of Use
Revenue System
DI
QSight
Device received in inventory
Device UDI scanned
Other data entered
Epic (EHR)
Clearing House
Payer
DI
Siemens (Billing)
Other data
Other data
ePremis (Prepares claims)
837 Claim Form
NTE field -only room for 2 DI’s! No PI (Production Information)!
AXIOMTranSend (3rd party claims processing
Amisys (Claims system for GHP)
Augmentation of Postmarket Registries • Common data models (CDM) for EHR & claims: – – – –
Sentinel -> Mini-Sentinel -> VDW PCORNet i2B2 OHDSI / OMOP
• Are some CDMs more useful than others for informing postmarket surveillance? Or doesn’t matter? • Proof-of-concept examining ~200 cardiac rhythm device patients at GHS
SCANH2019 Finalists • Team GHX • Team Mercy Tecsys • Team Symmetric
Let’s Get Creative!
Thank You!