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1	
WHAT	IS	IT	
GOOD	FOR?	
For	those	who	have	glanced	at	the	ISO	standards	for	the	Iden=fica=on	of	
Medicinal	Products	(IDMP),	let	alone	read	them,	know	that	it's	overwhelming!		
They	are	full	of	terms,	defini=ons,	and	data	modeling	informa=on.		What	does	
it	all	mean?	How	can	they	best	be	used	in	industry?	What	are	the	agencies	
doing	with	them?			
THE	OPTIMAL	SOLUTION	FOR	IDMP	COULD	BE	A	MYRIAD	OF	SYSTEMS	AND	PROCESSES.	
In 2012, five ISO standards were released which make up the framework for IDMP. They
describe, in detail, all the pieces of data needed to describe an approved drug that is available
for sale in jurisdictions that a Health Authority oversees. The information is derived in a top-
down fashion where the highest level is a unique ID that defines what exactly is approved by
the Health Authority. This includes the following types of information:
IDENTIFICATION	OF	MEDICINAL	PRODUCTS	
IDMP:	
• Approval information: procedure/
application/submission numbers,
approval and marketing dates, etc.
• Label information: indications,
undesirable effects, interactions, etc.
• Pharmaceutical product (how the drug is
administered to the patient) information:
ingredients, dosage amount, route of
administration, device information, etc.
• Packaged medicinal product (how the
drug is manufactured) information:
ingredients, packaging, device
information, etc.
• Organization information:
manufacturers, marketing authorization
holders, health authorities, etc.
These standards were updated in 2017 to clarify some of the relationships and data needed
in this data model.
As the regulatory agencies are determining how to implement these standards, there are
many systems and processes that companies can employ now to in order to not only be
compliant but to gain a competitive advantage in how to capture and maintain their data.
Yes, most of the data needed to complete the required IDMP fields are probably only
found somewhere in documents and are unstructured. They are descriptions about the
drug substance, product, or other aspects of the approval that were country specific or not
needed in a system before, but computers can now handle vast amounts of data, and we
can use different software to gather and control this data. For example, marketing status
will be required for IDMP and today it is being tracked sporadically and in various places.
When this information becomes structured it can be used consistently and effectively
across any organization. IDMP could be a simple report of that data, if the right tools and
processes are in place. Each department needs to get out of their silos and realize it is all
company data. The handoffs of data can be automatic instead of manual, and the data can
be treated as an asset. This will help drive efficiencies between departments and allow for
better analytics.
A DATA GOVERNANCE OFFICE SHOULD DEVELOP PROCESSES
AND TOOLS NEEDED TO LEVERAGE THE DATA ASSETS 2	
WHAT	DO	WE	HAVE	TO	COLLECT	FOR	IDMP?	
There are over 200 discrete fields described in the standards.
Each product will have a different amount of fields that are
required, and due to the relationships of data may need to
multiply some of the fields numerous times. Sometimes one
set of data fields is used instead of other fields.
Investigational and approved drugs have slightly different
data models.
Understanding the drug development lifecycle is essential to identifying where the data
should be captured. Do not approach it from a purely IT / systems perspective. Business
processes and the day-to-day operations is a critical foundation to feeding the data
model and eventually the IDMP requirements. Implementing the correct data model
will allow a company to collect data from the source, once, and eventually will keep all
the data needed for a robust label harmonized in one location, and allowing the regional
differences to be tracked easily.
DESIGNING	A	WINNING	STRATEGY	
Each company will have their own needs and approach. The solution can be a purely
compliance approach, where it replaces the EVMPD solution and collects only the data
needed, alternatively, and a more optimal approach, would be to tackle IDMP with a more
comprehensive strategy. The scope of a more comprehensive solution can also vary greatly.
Each functional area that contributes data will need to be involved. Applicable computer
systems that are already in place may be impacted. Many processes will need to be
updated and some new ones will need to be written to ensure the accuracy of the data.
IMPLEMENT	A	THOROUGH	AND	FLEXIBLE	SOLUTION
BUILD A DATA MODEL THAT SUITS THE NEEDS OF THE
COMPANY, WITH A BUSINESS DRIVER THAT ALSO
ADDRESSES THESE COMPLIANCE REQUIREMENTS 3	
IDMP was written to provide a unique ID to an approved
drug in a country or territory. While that is great for
Health Authorities, industry tends to look at the data from
when the active ingredient is discovered and then built up.
When the data elements from IDMP are broken into
smaller groupings, the real benefit can be used in industry.
Breaking the model apart will allow companies to use the
information as needed. Identifying the sources of
information and updating those systems to the new IDMP
criteria would the better approach. If this is not possible,
using data transformation and a separate database to store
the updated information will suffice. One would then
create the relationship model between the data to get the
best reporting structure.
USE	THE	IDMP	FRAMEWORK	AS	A	BASE	
TURN	YOUR	COMPANY’S	
DATA	INTO	AN	ASSET	
In order to make the data into an asset that can be
used for IDMP reporting and better communications
throughout your organization, Data Governance and
processes need to be implemented and augmented
with technology to
control the quality and relationships of the information. There also needs to be a strong
connection with IT and data architecture in order to develop the information flow diagrams
to understand where and when the data is used. The governance group will identify data
stewards who will own the data, no matter which system it resides in. The governance
group can then monitor the input of data into the originating source system, and ensure the
correct proliferation of this data to the other systems that need it. A committee also needs to
be formed in order to resolve any disputes in the ownership and use of the data. Systems
that can be implemented to support the data assets should include data dictionaries to keep
the definitions and rules of each data element, data hubs to gather and transform the data in
multiple other systems, monitoring tools to identify outliers and data errors, and analytics
tools to create robust reporting and look for new ways to use the collected data.
4	
HEALTH	AUTHORITY	IMPLEMENTATIONS	
GLOBAL	IMPLEMENTATION	
While not all of the ICH regions are implementing IDMP at or about
the same timeframe, there is a push to have this standard adopted
globally. The standard will make it easier to reuse data and provide
greater transparency to not only regulators and sponsors, but also
prescribers and patients.
FDA	IMPLEMENTATION	
The FDA will be working in parallel with the EMA for their implementation of IDMP. Final
implementation guides will be available for Industry in 2019.
EMA	IMPLEMENTATION:	SPOR	
The EMA will be implementing IDMP in a phased approach more
commonly known as SPOR for Substance, Product, Organization,
and Referential data. SPOR replaces xEVMPD in 2018 and is
required for all approved drugs in the EU. In 2020, IDMP
information will be required for all development products.
The EMA has delivered services for Referential and Organization
Management. The first phase of Substance and Product Management
is currently targeted for the end of 2018.
Health Canada has notified some industry
forums in December 2017 that there will be
a Notice of Intent published in the 4th
Quarter of 2018. This will provide an
overview of their implementation plan as
their timelines are in development.
HEALTH	CANADA	
STAYING CURRENT ON ALL CHANGING REGULATIONS AND
REQUIREMENTS IS NECESSARY TO ENSURE PROPER
REPORTING TO THE HEALTH AUTHORITIES
5	
Align	with	SPOR	
• Ensure	you	have	Super	
Users	and	Users	iden@fied	
and	registered	
• Check	your	companies	
data	and	send	in	
appropriate	change	
requests	
Iden@fy	IDMP	data	
elements	to	be	
implemented	first	
• Iden@fy	source	system/
document	for	these	data	
elements	
• Put	processes	in	place	to	
ensure	internal	
compliance	of	data	
Ensure	internal	data	
governance	model	is	in	
place	
• Ensure	business	is	
empowered	in	the	
structure	
• Ensure	you	have	clear	
ownership	
• Roles	and	responsibili@es	
need	to	be	established	
Prepare	for	data	
maintenance	
• Iden@fy	change	agents	
• Have	established	change	
control	in	place	
• Iden@fy	the	sources	new	
and	updated	informa@on	
BENEFITS	OF	IDMP	FOR	THE	EU	AND	BEYOND	
There are four areas that will benefit from the implementation of IDMP; Clinical Trials,
Pharmacovigilance, Regulatory Submissions, and GMP Inspections. Data standards driven at
the clinical trial phase can be utilized throughout the lifecycle of the product. These data
standards will improve the quality of data, therefore leading to more accurate safety
reporting. Consistent data standards will lead to greater reusability across regulators. The
availability of the manufacturing data will streamline inspections and aid in recalls or
identification of alternate supply. If a company implements a comprehensive solution for the
EU IDMP requirements well, they will be able to leverage what is in place and gain value
across all regions, strategically advancing their business operations by providing efficiencies
not otherwise possible.
Source: http://www.ema.europa.eu/docs/en_GB/document_library/Other/2016/11/WC500217406.pdf
IDMP	PREPAREDNESS:	WHAT	CAN	BE	DONE	TODAY	
PREPARATION NOW WILL ASSIST IN SEAMLESS
TRANSITION WHEN IDMP IS FULLY IMPLEMENTED
For more information, please contact:
Pyxa	Solu@ons	is	
comprised	of	a	
dynamic	team	of	
management	
consultants	and	
R&D	subject	maQer	
experts	specializing	
in	cross-func@onal	
R&D	delivery	
stemming	from	
ac@vi@es	led	by	
Regulatory	Affairs		
ABOUT	PYXA	
Dalia El-Sherif, PhD
Partner
Pyxa Consulting Practice Lead
delsherif@pyxasolutions.com
610-909-8831
6	
Contributing Authors
Frank Faunce
Managing Consultant
Pyxa Solutions, LLC
ffaunce@pyxasolutions.com
617-251-4402
Pyxa	is	managed	by	a	team	of	three	seasoned	
partners	and	comprised	of	a	solid	team	of	
consultants	with	prior	blended	exper@se	in	
industry	and	management	consul@ng.			
Daria Grindstaff
Consultant
Pyxa Solutions, LLC
dgrindstaff@pyxasolutions.com
860-287-1125
Pyxa offers a unique holistic view of processes, data and
requirements, to enhance operations and ensure compliance
for IDMP implementation.
•  We assess the “As-Is” state in a quick and efficient
manner, identifying areas of weakness, risks and gaps.
We work cross-functionally to develop the IDMP “to-
be” state, ensuring alignment and endorsement across
the respective functions.
•  We develop change management, communication,
training (class room or e-learning) and implementation
plans and materials to support the successful rollout of
the IDMP process.

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IDMP: What is it Good For?

  • 1. 1 WHAT IS IT GOOD FOR? For those who have glanced at the ISO standards for the Iden=fica=on of Medicinal Products (IDMP), let alone read them, know that it's overwhelming! They are full of terms, defini=ons, and data modeling informa=on. What does it all mean? How can they best be used in industry? What are the agencies doing with them? THE OPTIMAL SOLUTION FOR IDMP COULD BE A MYRIAD OF SYSTEMS AND PROCESSES. In 2012, five ISO standards were released which make up the framework for IDMP. They describe, in detail, all the pieces of data needed to describe an approved drug that is available for sale in jurisdictions that a Health Authority oversees. The information is derived in a top- down fashion where the highest level is a unique ID that defines what exactly is approved by the Health Authority. This includes the following types of information: IDENTIFICATION OF MEDICINAL PRODUCTS IDMP: • Approval information: procedure/ application/submission numbers, approval and marketing dates, etc. • Label information: indications, undesirable effects, interactions, etc. • Pharmaceutical product (how the drug is administered to the patient) information: ingredients, dosage amount, route of administration, device information, etc. • Packaged medicinal product (how the drug is manufactured) information: ingredients, packaging, device information, etc. • Organization information: manufacturers, marketing authorization holders, health authorities, etc. These standards were updated in 2017 to clarify some of the relationships and data needed in this data model. As the regulatory agencies are determining how to implement these standards, there are many systems and processes that companies can employ now to in order to not only be compliant but to gain a competitive advantage in how to capture and maintain their data.
  • 2. Yes, most of the data needed to complete the required IDMP fields are probably only found somewhere in documents and are unstructured. They are descriptions about the drug substance, product, or other aspects of the approval that were country specific or not needed in a system before, but computers can now handle vast amounts of data, and we can use different software to gather and control this data. For example, marketing status will be required for IDMP and today it is being tracked sporadically and in various places. When this information becomes structured it can be used consistently and effectively across any organization. IDMP could be a simple report of that data, if the right tools and processes are in place. Each department needs to get out of their silos and realize it is all company data. The handoffs of data can be automatic instead of manual, and the data can be treated as an asset. This will help drive efficiencies between departments and allow for better analytics. A DATA GOVERNANCE OFFICE SHOULD DEVELOP PROCESSES AND TOOLS NEEDED TO LEVERAGE THE DATA ASSETS 2 WHAT DO WE HAVE TO COLLECT FOR IDMP? There are over 200 discrete fields described in the standards. Each product will have a different amount of fields that are required, and due to the relationships of data may need to multiply some of the fields numerous times. Sometimes one set of data fields is used instead of other fields. Investigational and approved drugs have slightly different data models. Understanding the drug development lifecycle is essential to identifying where the data should be captured. Do not approach it from a purely IT / systems perspective. Business processes and the day-to-day operations is a critical foundation to feeding the data model and eventually the IDMP requirements. Implementing the correct data model will allow a company to collect data from the source, once, and eventually will keep all the data needed for a robust label harmonized in one location, and allowing the regional differences to be tracked easily. DESIGNING A WINNING STRATEGY Each company will have their own needs and approach. The solution can be a purely compliance approach, where it replaces the EVMPD solution and collects only the data needed, alternatively, and a more optimal approach, would be to tackle IDMP with a more comprehensive strategy. The scope of a more comprehensive solution can also vary greatly. Each functional area that contributes data will need to be involved. Applicable computer systems that are already in place may be impacted. Many processes will need to be updated and some new ones will need to be written to ensure the accuracy of the data. IMPLEMENT A THOROUGH AND FLEXIBLE SOLUTION
  • 3. BUILD A DATA MODEL THAT SUITS THE NEEDS OF THE COMPANY, WITH A BUSINESS DRIVER THAT ALSO ADDRESSES THESE COMPLIANCE REQUIREMENTS 3 IDMP was written to provide a unique ID to an approved drug in a country or territory. While that is great for Health Authorities, industry tends to look at the data from when the active ingredient is discovered and then built up. When the data elements from IDMP are broken into smaller groupings, the real benefit can be used in industry. Breaking the model apart will allow companies to use the information as needed. Identifying the sources of information and updating those systems to the new IDMP criteria would the better approach. If this is not possible, using data transformation and a separate database to store the updated information will suffice. One would then create the relationship model between the data to get the best reporting structure. USE THE IDMP FRAMEWORK AS A BASE TURN YOUR COMPANY’S DATA INTO AN ASSET In order to make the data into an asset that can be used for IDMP reporting and better communications throughout your organization, Data Governance and processes need to be implemented and augmented with technology to control the quality and relationships of the information. There also needs to be a strong connection with IT and data architecture in order to develop the information flow diagrams to understand where and when the data is used. The governance group will identify data stewards who will own the data, no matter which system it resides in. The governance group can then monitor the input of data into the originating source system, and ensure the correct proliferation of this data to the other systems that need it. A committee also needs to be formed in order to resolve any disputes in the ownership and use of the data. Systems that can be implemented to support the data assets should include data dictionaries to keep the definitions and rules of each data element, data hubs to gather and transform the data in multiple other systems, monitoring tools to identify outliers and data errors, and analytics tools to create robust reporting and look for new ways to use the collected data.
  • 4. 4 HEALTH AUTHORITY IMPLEMENTATIONS GLOBAL IMPLEMENTATION While not all of the ICH regions are implementing IDMP at or about the same timeframe, there is a push to have this standard adopted globally. The standard will make it easier to reuse data and provide greater transparency to not only regulators and sponsors, but also prescribers and patients. FDA IMPLEMENTATION The FDA will be working in parallel with the EMA for their implementation of IDMP. Final implementation guides will be available for Industry in 2019. EMA IMPLEMENTATION: SPOR The EMA will be implementing IDMP in a phased approach more commonly known as SPOR for Substance, Product, Organization, and Referential data. SPOR replaces xEVMPD in 2018 and is required for all approved drugs in the EU. In 2020, IDMP information will be required for all development products. The EMA has delivered services for Referential and Organization Management. The first phase of Substance and Product Management is currently targeted for the end of 2018. Health Canada has notified some industry forums in December 2017 that there will be a Notice of Intent published in the 4th Quarter of 2018. This will provide an overview of their implementation plan as their timelines are in development. HEALTH CANADA STAYING CURRENT ON ALL CHANGING REGULATIONS AND REQUIREMENTS IS NECESSARY TO ENSURE PROPER REPORTING TO THE HEALTH AUTHORITIES
  • 5. 5 Align with SPOR • Ensure you have Super Users and Users iden@fied and registered • Check your companies data and send in appropriate change requests Iden@fy IDMP data elements to be implemented first • Iden@fy source system/ document for these data elements • Put processes in place to ensure internal compliance of data Ensure internal data governance model is in place • Ensure business is empowered in the structure • Ensure you have clear ownership • Roles and responsibili@es need to be established Prepare for data maintenance • Iden@fy change agents • Have established change control in place • Iden@fy the sources new and updated informa@on BENEFITS OF IDMP FOR THE EU AND BEYOND There are four areas that will benefit from the implementation of IDMP; Clinical Trials, Pharmacovigilance, Regulatory Submissions, and GMP Inspections. Data standards driven at the clinical trial phase can be utilized throughout the lifecycle of the product. These data standards will improve the quality of data, therefore leading to more accurate safety reporting. Consistent data standards will lead to greater reusability across regulators. The availability of the manufacturing data will streamline inspections and aid in recalls or identification of alternate supply. If a company implements a comprehensive solution for the EU IDMP requirements well, they will be able to leverage what is in place and gain value across all regions, strategically advancing their business operations by providing efficiencies not otherwise possible. Source: http://www.ema.europa.eu/docs/en_GB/document_library/Other/2016/11/WC500217406.pdf IDMP PREPAREDNESS: WHAT CAN BE DONE TODAY PREPARATION NOW WILL ASSIST IN SEAMLESS TRANSITION WHEN IDMP IS FULLY IMPLEMENTED
  • 6. For more information, please contact: Pyxa Solu@ons is comprised of a dynamic team of management consultants and R&D subject maQer experts specializing in cross-func@onal R&D delivery stemming from ac@vi@es led by Regulatory Affairs ABOUT PYXA Dalia El-Sherif, PhD Partner Pyxa Consulting Practice Lead delsherif@pyxasolutions.com 610-909-8831 6 Contributing Authors Frank Faunce Managing Consultant Pyxa Solutions, LLC ffaunce@pyxasolutions.com 617-251-4402 Pyxa is managed by a team of three seasoned partners and comprised of a solid team of consultants with prior blended exper@se in industry and management consul@ng. Daria Grindstaff Consultant Pyxa Solutions, LLC dgrindstaff@pyxasolutions.com 860-287-1125 Pyxa offers a unique holistic view of processes, data and requirements, to enhance operations and ensure compliance for IDMP implementation. •  We assess the “As-Is” state in a quick and efficient manner, identifying areas of weakness, risks and gaps. We work cross-functionally to develop the IDMP “to- be” state, ensuring alignment and endorsement across the respective functions. •  We develop change management, communication, training (class room or e-learning) and implementation plans and materials to support the successful rollout of the IDMP process.