HUG Auto-ID Data Work Team - Update

1
HUG Auto-ID Data Work Team - Update

• Berlin, 1st Feb 2007
• Mark Hoyle, Tyco Healthcare Mark Walchak, Pfizer

2
AIDC Data Work Teams Objective
Because there are no Global Application
Standards for the Automatic Identification of
data related to Healthcare, this team will
identify the Business Requirements and Data
Requirements to be used for the development of a
global standard for the automatic identification
of vaccines, biological, pharmaceuticals,
therapeutic nutritional products, medical
devices, instruments and implants with the goal
of improving patient safety.
3
AIDC Data Work TeamProblem Statement..!
(S)
Healthcare Provider
The Wholesalers
Global AIDC
The Patient
Local AIDC
The Distributors
The Manufacturer
(S)
4
Globally Unique Product Identification Problem
Statement.!
Localised Problem
Self Built Systems Requiring Something Different
to the Intended Solution Provided by Present and
Future Standards. Imposed Limitation rather than
Standardising on Data Structure, Data Content and
Data Symbology or Carrier.
AI(01)?
AI(02)?
AI(10)?
AI(21)?
AI(37)?
AI(17)?
5
Introduction Work Teams versus Roadmap
2008
2007
2006
GTIN Allocation
AutoID Data
Carriers
Packaging/ Direct Marking
Serialisation
AIDC Application Standards
6
AIDC Data Work TeamDeliverables
Business Data Reqmts
AutoID Data
Carriers
Serialisation
Application Standard
AIDC Application Standards
Final report
7
AIDC Data Work TeamMembers

• Abbott
• Aexxdis
• Aesculap
• Baxter
• Behring
• B. Braun
• Boston Scientific
• Celesio
• FDA
• Pfizer

• GSG Northern University Hospitals
• Johnson Johnson
• Medtronic
• Merck Germany
• NHS Chelsea Westminster
• Novartis
• Procter Gamble
• Sanofi-Aventis
• St. Jude
• Tyco Healthcare

• Japan
• New Zealand
• Spain
• Switzerland
• UK
• USA

• Australia
• Austria
• Canada
• China
• France
• Hong Kong
• Hungary
• Italy

8
AIDC Data Work TeamProject Plan
2006
2007
Sept Oct Nov Dec Jan Feb
Mar Apr
Review Mission Vision
Establish Team
Approve Objective Scope
Approve Business Requirements
Approve Data Requirements
Submit Final Report
Paris
Philadelphia
Berlin
key
physical meetings
task scheduled
task complete
9
AIDC Data Work Teams Scope

• The starting point on the supply chain will be at
  the manufacturer and the point of finished goods,
  because marking only starts at the point of
  finishing. Upstream from this point will be out
  of scope.

• Food services will not be included but
  therapeutic nutritional products will be
  included. Note Therapeutic nutrition is
  defined as Therapeutic Nutrition business means
  enteral and parenteral nutrition of products and
  services to treat patients who require feeding on
  that specific route because of a specific disease
  or to prevent a potential disease.

• Adverse events related to data capture shall be
  considered within scope and used as an input to
  preparing the deliverable.

• Animal healthcare will not be in scope at this
  time, but input will be considered.

• Equipment used to transport patients is out of
  scope.

• A facilitys assets used by a patient such as
  tables, lights, etc. is out of scope.

10
Scope Supply Chain Illustration
Packaging/Direct Marking
Care Facility
Manufacturing
Distribution
These are the boundaries
From Finished Goods
To End of Treatment
Mfg Item Case Pallets Trucks
Distributor Trucks Pallets Case
Item Hospital User


Looking for Common Ground
11
AIDC Data Work TeamBusiness Requirements

• For this task the work team has
• Gathered Business Requirements
• Compiled and Condensed
• Agree upon Content (team consensus)
• Next Steps
• The approved business requirements will be used
  to establish the DATA requirements.

12
Established Sub TeamsBy Product Areas
Product Area Sub-Lead
Vaccines Peter Tomicki
Biologicals Peter Tomicki
Therapeutic nutritional Peter Tomicki
Pharmaceutical Mark Walchak / India Hardy
Medical Devices Mark Hoyle
Instruments Volker Zeinar
Implants Gunther Lamparter
13
AIDC Data Work TeamBusiness Requirements Cont.

• Hospital Survey
• VA Hospital
• Input by individuals

14
AIDC Data Work TeamBusiness Requirements
15
OUR METHODOLOGY
SUB TEAM AND OUT REACH LISTS
CREATE MASTER LIST
KEY WORD GROUPING
ROLE GROUPING
3 PASS ANALYSIS
16
3 Pass Analysis
17
NEXT STEPS

• Finalise approval of business requirements
• Hospital survey analysis
• Master list analysis
• Start data requirements analysis and
  recommendations
• Leadership team
• GS1 Staff
• Present recommendations to full team
• Existing data available
• Gaps
• Close gaps
• Approve data requirements
• Prepare report

18
QUESTIONS ?