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1 An Introduction to Risk Management Moshe Ben Yitzhak, MBA, MS CGMP Solutions, Inc.

An introduction to risk management

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Page 1: An introduction to risk management

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An Introduction to Risk Management

Moshe Ben Yitzhak, MBA, MSCGMP Solutions, Inc.

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Learning Objectives

ICH Q9 What are the basics of Risk? Risk Tools Principles of Risk Management

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Learning Objective #1ICH Q9

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What is ICH Q9? Developed by the Expert Working Group of ICH

for Technical Requirements for Registration of Pharmaceuticals for Human Use

Issued as a Guidance document June 2006.

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What is ICH Q9? What does Guidance mean?

Represents FDA's current thinking on a topic. It does not create any rights for a company & does not

bind FDA. An alternative approach can be used if it satisfies the

requirements of the applicable statutes and regulations. If you want to discuss an alternative approach, contact

the FDA staff responsible for implementing the guidance.

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Why Risk Management?

FDA considers risk management practices to be inadequate.

Effective quality risk management can: Control potential quality issues Improve decision making Facilitate better and more informed decisions Provide regulators with greater assurance of a

company’s ability to deal with potential risks

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Risk & the perception of Risk

Risk Management is the use of the available information to identify hazards & to estimate risk.

Different stakeholders perceive risk differently. Who are the stakeholders?

Risk = Probability of harm * Severity of harm * Exposure

נזק = * * חשיפת נזק חומרת נזק ההסתברות סיכון

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Figure 1.1: Stakeholders

ThePatient

The FirmThe MedicalCommunity

FDA

HealthcareIndustry

The Firm’s Partners& Investors

PatientAdvocacy Grps.

Society

Patient’s Family

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Why Q9, continued Use of a drug product always entails some risk Manufacturing a drug product always entails some risk

FDA expects firms to manage the risks associated with manufacturing

Product quality should be maintained throughout the product life cycle

ICH Q9 uses a life-cycle approach What is a product life cycle?

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Figure 1.2: Drug Product Lifecycle

Phase of FDASubmissions

Phase ofDevelopment

Time Required(Years)

Early research& preclinical

ChemicalSynthesis

PreclinicalTesting &

Pharmacology

Toxicology

5.8 7.4

Phase IClinical

Phase IIClinical

Phase IIIClinical

Supplementaryreporting &

review

1.5

Approval

Supplementalreporting

Phase III(continued)

Phase IVPost-

marketing

NDASubmission

IND Filing30-day wait

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ICH Q9, continued

Q9 proposes that firms use a “Systematic Approach” consisting of: Formalized policies, procedures, tools & models Support from senior management

What does this entail? RMP should be used daily for decision-making!

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ICH Q9, continued

RMP should be used daily for decision-making! Change Control Writing new Master Batch Records (MBRs)

Revising existing MBRs Evaluating CAPAs for Deviation and OOS investigations.

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Figure 1.3: Risk Management Process(GAMP 5)

Initiate Quality RMP

Risk ID

RiskAnalysis

RiskEvaluation

RiskReduction

RiskAcceptance

Result of Quality RMP

ReviewEvents

Acceptable orUnacceptable

RiskAssessment

Risk Control

Risk Review

Risk CommunicationRisk Management Tools

Unacceptable

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Learning Objective #2What are the basics of Risk?

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What is Risk? Potential loss

Outcomes that make us worse-off An outcome that is not as good as another outcome

Chance Quantitative or Qualitative

Exposure How much of the risk am I exposed to? FDA is concerned about patients’ exposure!

Severity What is going to happen if the risk materializes?

הפוטנציאלי ההפסד מהו?שלנו

הסתברות

חשיפה

מדד חומרה

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Risk Determinants

Control Information Time

Lack of control

Lack of timeLack of information

Figure 1.4: Basic Risk Determinants

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Risk Determinants, cont.

Lack of control Natural environment Socio-cultural environment Political environment Competitive environment Internal environment Actions of individuals

As a manager, you can only control these

two!

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Risk Determinants, cont.

Lack of information What do we need information about?

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Risk Determinants, cont.What do we need information about?

API & Excipient Suppliers Alternate suppliers Regulatory status

Processing Equipment Types of equipment Capabilities of equipment

Testing instruments Types Sensitivity Calibration

Contract Manufacturing Organizations (CMOs)

Clinical Research Organizations (CROs)

Compendial changes USP EP JP

Regulatory Changes FDA EMA/IMOH

19

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Risk Determinants, cont.

Lack of time to: Identify sources of information Gather information Analyze information Evaluate

Current operations Planned operations

Formulate information into meaningful controls

Can we “create”

time?

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Learning Objective #3Some Basic Risk Tools

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Risk Models Academic models and studies

MacCrimmon & Wehrung, 1986 Finkel & Golding, 1994 Davies, 1996 Haimes, 1998 Konisky, 1999 Morgan, 2002 Ayub, 2003

Industry standards ISO 14971:2007(E) Medical Devices – Application of risk

management GAMP 5 ICH Q9

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Tools for Risk Management

Cause-&-Effect Analysis

Brainstorming Decision Trees Process Mapping /

Flowcharts Matrices

QFD Quality Function

Deployment FTA FMEA

Failure Mode & Effects Analysis

HACCP

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Figure 1.5: Cause-and-Effect Diagram EM5 Model

Vessel #1

Approved APIs

Approved Excipients

Approved PKG & LBLQC

Pharm Eningeering

Operations

Validation Policies

Validation SOPs

Validation Approach

Manufacturing

Packaging

Surfaces

Air

Controlled Access In Process

Release

Stability

Water

Vessel #2

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Figure 1.6:Brainstorming - how do we clean

equipment & facilities?

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S tart/E n d P roces s

P roces s S u b rou tin es

D ecis ion P oin t

P roces s A ltern ate P roces s

M an u al O p eration

P roces s

D elay

D ecis ionP oin t

O ff-p ag e P roces s

S tart/E n d P roces s

Buy SmartDraw!- purchased copies print this document without a watermark .

Visit www.smartdraw.com or call 1-800-768-3729.

Figure 1.7Basic Flowchart Shapes

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Table 1.1 Example of a Matrix(using risk rankings or weightings)

Criteria Factors-to-be-considered Points No. of APIs Score

I. Type of product being developed or transferred

A. Non-sterile solutions 1 1 2 ≥3  

B. Non-sterile suspensions 2 1 2 ≥3  

C. Semi-solids 3 1 2 ≥3  

D. Solid dosage (tablets) 4 1 2 ≥3  

E. Solid dosage (capsules) 5 1 2 ≥3  

F. Solid dosage (lozenges) 6 1 2 ≥3  

G. Drug coated patches 7 1 2 ≥3  

H. Terminally sterilized products 8 1 2 ≥3  

I. Injectable drug (aseptically produced) 9 1 2 ≥3  

J. Injectable drug (aseptically produced and lyophilized) 10 1 2 ≥3  

K. Implantable device with drug component(s) 11 1 2 ≥3  

Criteria Factors-to-be-considered Points Weight Score

II. Non-API-related changes to components & composition

A. Changes are those that are unlikely to have any detectable impact on formulation quality and performance.

1Multiply by score from Section I

 B. Changes are those that could have a significant impact on formulation quality and performance.

2  C. Changes are those that are likely to have a significant impact on formulation quality and performance.

3  

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The Problems with Tools

Examples relevant to the BioPharma industry are limited Companies do not publish many studies due to

confidentiality, regulatory risk, legal risk Not everyone knows how to use them Must be adapted to the industry

Some are very complex

Remember: if you only have a hammer, every problem looks like a nail.

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Table No. 1.2: Failure Severity RatingEffect Severity

RatingCriteria

No effect 1 Failure would have no effect on the customer

Slight effect 2 Customer is dissatisfied; still uses product

Moderate effect 4 Customer complains

Significant effect 6 Customer declines further use

Major effect 8 Adverse event (patient gets sick)

Extreme effect 10 Serious adverse event (patient hospitalized or dies)

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Table No. 1.3: Failure Occurrence RatingOccurrence Rating Failure

RateCriteria

Remote 1 1 in 10,000 Process deviation very unlikely

Very slight 2 1 in 4,000 Very few process deviations

Slight 3 1 in 2,000 Few process deviations

Low 4 1 in 400 Occasional process deviation

Medium 5 1 in 80 Moderate number of process deviations

Moderately high 6 1 in 20 Frequent process deviations

High 7 1 in 10 High number of process deviations

Very high 8 1 in 5 Very high number of process deviations

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Table No. 1.5: Detection Rating (for failure modes)

Detection Ability

Rating Criteria for Controls in Place

Almost certain 1 Detection is certain; validated on-line PAT controls

Very high 2 Detection is likely; heavy use of inspection between & during process steps (with some automation)

High 3 Detection is very likely; validated lab methods

Moderately high 4 Moderate likelihood of detection; heavy use of inspection during process steps

Medium 5 Medium likelihood of detection; heavy use of inspection between process steps

Low 6 Low likelihood of detection; low usage of inspection and testing; inspections & tests are not optimal

Slight 7 Controls being concurrently validated

Very slight 8 Controls are experimental

Remote 9 Controls not aligned to critical quality attributes

Impossible 10 No controls in place

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Calculating Risk

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Severity Rating Occurrence Rate Detection RateSlight Effect (2) * Low (4) * Very high (2) = 16Extreme Effect (10) * Very High (5) * No controls (10) =

500

Need to use: flow charts, cause & effect diagrams, brainstorming & other tools to arrive at these ratings!

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Learning Objective #4Principles of Risk Management

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Principles of Risk Management

1. Risk management is a process that occurs throughout a product’s lifecycle Risks change as the product moves through the life cycle Our level of understanding increases along a learning

curve The level of control we can achieve varies with technology Who is privy to risk communication changes

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Principles of RiskManagement, cont.

2. Safety-by-design is the preferred option for managing risks Is the design inherently safe?

Preclinical studies Clinical studies

Protective measures built into the manufacturing process Manufacturing Packaging

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Principles of RiskManagement, cont.

3. Risk management models & tools must be modified to account for: The patients’ conditions (mild vs. moderate vs. severe) The dosage form (topical vs. tablet vs. injection) Maturity of the firm’s RMS

Have we used RM before? Can I use RM tools without a RM model?

Maturity of the firm’s Quality Management System Can I use a RMS without a QMS?

The firm’s culture Does senior management support it? Do employees need / want fundamental knowledge?

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Principles of RiskManagement, cont.

4. Risk management is an iterative process. How often does it need to be done?

Annual Product Review? Change? Deviation Investigations? Project basis? sNDA?

How often it is done dictates what part of the organization does it, and the resources available.

Knowledge is transferable from one product to another

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Principles of RiskManagement, cont.

5. Top management commitment is critical for effective risk management Without adequate resources, RM is ineffective Each company’s top management must also

establish a policy on how “acceptable” risks will be determined

RM is a process requiring periodic review & improvement

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Principles of RiskManagement, cont.

Policies and procedures document the 5 essential questions: Who What When Where How

Training records

Where does that get documented? RMP for each significant

phase of development Supporting

communications

6. Risk management activities must be documented.

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Thank you!Thank you!

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Cambridge: Productivity Press, 1990, p. 27. Berry, Ira R. and Nash, Robert A., eds., Pharmaceutical Process Validation, 2nd ed., Marcel Dekker:

New York, 1993. Butler, Shawn A., Fischbeck, Paul, “Multi-Attribute Risk Assessment” Carnegie Mellon University. FDA, Guidance for Industry Q9 Quality Risk Management, GPO, June 2006. FDA, Guidance for Industry Quality Systems Approach to Pharmaceutical CGMP Regulations, GPO,

September 2006. FDA, Risk-Based Method for Prioritizing CGMP Inspections of Pharmaceutical Manufacturing Sites – A

Risk Ranking Model, GPO, September 2004. Frame, J. Davidson, Managing Risk in Organizations A Guide for Managers, Josey-Bass: San

Francisco, 2003. Franceschini, Fiorenzo, Advanced Quality Function Deployment, New York: St. Lucie Press, 2002. Gitlow, Oppenheim & Oppenheim, Quality Management: Tools and Methods for Improvement, 2nd ed.,

Irwin: Boston, 1995. Ishikawa, Kaoru, Guide to Quality Control, Quality Resources: White Plains, New York, 1982. ISPE, GAMP 4 Guide Validation of Automated Systems, ISPE: Orlando, Florida, 2001, Appendix M3,

p. 2. MacCrimmon, Kenneth R. and Wehrung, Donald A., Taking Risks the Management of Uncertainty, The

Free Press: New York, 1986. Project Management Institute, A Guide to the Project Management Body of Knowledge, 3rd edition,

Project Management Institute: Newtown Square, Pennsylvania, 2004. Russell, J.P., The Process Auditing Techniques Guide, Quality Press: Milwaukee, Wisconsin, 2003.