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Implementing Business Continuity Management for KK Women's and Children's Hospital: An Enterprise Implementation Guide
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[BCM] [KKH] [E3] [RAR] [P3] Risk Impact and Likelihood Assessment

[BCM] [KKH] [Full Banner] Implementing Business Continuity Management for KKH

Following the identification of credible threats (RAR Part 1) and the evaluation of existing treatment and control measures (RAR Part 2), the next step in the Business Continuity Management (BCM) lifecycle is to assess the potential impact and likelihood of each threat.

x eBook Cover [BCM] [KKH] [E3] [2D]This assessment provides a structured and consistent method for understanding the risks that could affect the delivery of KK Women's and Children's Hospital (KKH)'s Critical Business Functions and supporting services.

Consistent with the principles of ISO 22301, ISO 22313, ISO 31000 and recognised Business Impact Analysis (BIA) practices, this assessment evaluates each identified threat across seven impact areas: Finance, Operations, Legal and Regulatory, Reputation and Image, Social Responsibility, People, Assets, IT Systems and Information.

The highest impact score among these areas is used together with the assessed likelihood of occurrence to determine the overall risk rating and corresponding risk level.

Banner [BCM] [E3] [RAR] [T3] Risk Impact and Likelihood Assessment

Dr Goh Moh Heng
Business Continuity Management Certified Planner-Specialist-Expert
Achieving 

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Part 3: RAR - Risk Impact and Likelihood Assessment

Banner [BCM] [E3] [RAR] [T3] Risk Impact and Likelihood Assessment

 

Introduction

BCM] [KKH] [E3] [RAR] [T3] Risk Impact and Likelihood Assessment

Following the identification of credible threats (RAR Part 1) and the evaluation of existing treatment and control measures (RAR Part 2), the next step in the Business Continuity Management (BCM) lifecycle is to assess the likelihood and potential impact of each threat.

This assessment provides a structured and consistent method for understanding the risks that could affect the delivery of KK Women's and Children's Hospital (KKH)'s Critical Business Functions and supporting services.

Consistent with the principles of ISO 22301, ISO 22313, ISO 31000 and recognised Business Impact Analysis (BIA) practices, this assessment evaluates each identified threat across seven impact areas: Finance, Operations, Legal and Regulatory, Reputation and Image, Social Responsibility, People, Assets, IT Systems and Information.

The highest impact score among these areas is used together with the assessed likelihood of occurrence to determine the overall risk rating and corresponding risk level.

The assessments presented in this chapter are indicative and assume the existence of reasonable operational controls identified in RAR Part 2.

They represent the residual risk remaining after existing controls have been considered, but before additional recommended improvements are implemented.

Final impact scores, likelihood ratings, and risk levels should be validated by the relevant business owners, the enterprise risk management function, ICT specialists, facilities management, clinical leaders, and senior management before formal adoption.

In addition to calculating the risk rating, the chapter estimates the likely duration of operational disruption for each threat.

This assists management in prioritising recovery strategies, allocating recovery resources, determining Business Continuity Strategies, developing Crisis Management scenarios, and strengthening Operational Resilience across KKH.

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Table T3: Risk Impact and Likelihood Assessment

Threat

Impact Area - Finance

Impact Area - Operations

Impact Area - Legal & Regulatory

Impact Area - Reputation & Image

Impact Area - Social Responsibility

Impact Area - People

Impact Area - Assets / IT Systems / Information

Risk Impact Area (Highest Numeric Score)

Risk Likelihood

Risk Rating

Risk Level

Expected Period of Disruption

Flash Flood

3

4

3

3

4

3

3

4 – Operations; Social Responsibility

3 – Possible

12

High

8–24 hours

Severe Storm

2

3

2

2

3

2

3

3 – Operations; Assets

4 – Likely

12

High

4–24 hours

Lightning Strike

2

3

2

2

2

2

4

4 – Assets/IT

3 – Possible

12

High

4–8 hours

Extreme Heat

2

3

2

2

3

3

3

3 – Operations; People; Assets

4 – Likely

12

High

1–3 days

Haze

2

3

2

2

4

4

2

4 – Social Responsibility; People

3 – Possible

12

High

3–7 days

Pandemic Movement Restrictions

4

5

4

4

5

5

3

5 – Operations; Social Responsibility; People

3 – Possible

15

High

2–4 weeks

Regional Earthquake Effects

3

4

3

3

4

4

4

4 – Operations; Social Responsibility; People; Assets

2 – Unlikely

8

Moderate

1–7 days

Fire

5

5

4

5

5

5

5

5 – Finance; Operations; Reputation; Social Responsibility; People; Assets

3 – Possible

15

High

1–2 weeks

Explosion

5

5

5

5

5

5

5

5 – All Major Areas

2 – Unlikely

10

High

1–2 weeks

Chemical Spill

3

4

4

3

4

4

3

4 – Operations; Legal; Social Responsibility; People

3 – Possible

12

High

1–3 days

Medical Gas Leak

5

5

5

5

5

5

4

5 – Finance; Operations; Legal; Reputation; Social Responsibility; People

2 – Unlikely

10

High

4–24 hours

Structural Failure

4

5

4

4

5

5

5

5 – Operations; Social Responsibility; People; Assets

2 – Unlikely

10

High

1–2 weeks

Bomb Threat

3

4

3

4

4

4

3

4 – Operations; Reputation; Social Responsibility; People

2 – Unlikely

8

Moderate

4–24 hours

Terrorism

5

5

5

5

5

5

5

5 – All Major Areas

2 – Unlikely

10

High

2–4 weeks

Active Assailant

4

5

5

5

5

5

3

5 – Operations; Legal; Reputation; Social Responsibility; People

2 – Unlikely

10

High

1–3 days

Public Transport Disruption

2

3

1

2

2

3

1

3 – Operations; People

4 – Likely

12

High

4–24 hours

Major Traffic Incident

2

4

2

2

3

2

1

4 – Operations

3 – Possible

12

High

4–24 hours

Pandemic

5

5

4

5

5

5

3

5 – Finance; Operations; Reputation; Social Responsibility; People

3 – Possible

15

High

More than 1 month

Infectious Disease Outbreak

4

5

4

4

5

5

2

5 – Operations; Social Responsibility; People

4 – Likely

20

Very High

2–4 weeks

Mass Illness

3

4

3

3

4

5

2

5 – People

3 – Possible

15

High

1–2 weeks

Loss of Key Personnel

3

4

3

3

3

5

2

5 – People

3 – Possible

15

High

1–3 weeks

Skills Shortage

3

4

3

3

4

5

2

5 – People

4 – Likely

20

Very High

More than 1 month

Staff Fatigue

2

4

3

3

4

5

1

5 – People

4 – Likely

20

Very High

1–2 weeks

Psychological Stress

2

3

2

2

3

4

1

4 – People

4 – Likely

16

High

1–2 weeks

Mandatory Quarantine

3

5

3

3

4

5

2

5 – Operations; People

3 – Possible

15

High

2–4 weeks

Family Emergencies

2

3

1

1

2

3

1

3 – Operations; People

3 – Possible

9

Moderate

1–3 days

Supplier Failure

4

5

4

4

5

3

3

5 – Operations; Social Responsibility

3 – Possible

15

High

1–2 weeks

Cloud Service Provider Failure

3

4

4

3

3

2

5

5 – Assets/IT

3 – Possible

15

High

1–3 days

Telecommunications Failure

3

5

3

3

4

3

5

5 – Operations; Assets

3 – Possible

15

High

8–24 hours

Utility Failure

4

5

4

4

5

4

5

5 – Operations; Social Responsibility; Assets

3 – Possible

15

High

1–3 days

Logistics Disruption

3

4

3

3

4

2

2

4 – Operations; Social Responsibility

3 – Possible

12

High

3–7 days

Fuel Supply Disruption

3

4

3

3

4

2

2

4 – Operations; Social Responsibility

2 – Unlikely

8

Moderate

3–7 days

Vendor Insolvency

3

4

3

3

3

2

2

4 – Operations

2 – Unlikely

8

Moderate

1–2 weeks

Third-Party Cyber Incident

4

5

5

4

4

2

5

5 – Operations; Legal; Assets

3 – Possible

15

High

3–7 days

Single Source Dependency

3

5

3

3

4

2

2

5 – Operations

3 – Possible

15

High

1–2 weeks

Regulatory Import Restrictions

4

5

5

4

5

3

2

5 – Operations; Legal; Social Responsibility

2 – Unlikely

10

High

2–4 weeks

Cyber Attack

5

5

5

5

4

3

5

5 – Finance; Operations; Legal; Reputation; Assets

4 – Likely

20

Very High

1–2 weeks

Ransomware

5

5

5

5

5

3

5

5 – Finance; Operations; Legal; Reputation; Social Responsibility; Assets

4 – Likely

20

Very High

1–2 weeks

Malware Infection

3

4

3

3

2

2

5

5 – Assets/IT

4 – Likely

20

Very High

1–3 days

Distributed Denial of Service (DDoS)

3

4

3

3

2

1

5

5 – Assets/IT

3 – Possible

15

High

4–24 hours

Insider Threat

4

4

5

5

3

2

5

5 – Legal; Reputation; Assets

3 – Possible

15

High

1–2 weeks

Data Breach

4

4

5

5

4

2

5

5 – Legal; Reputation; Assets

3 – Possible

15

High

1–2 weeks

Network Failure

3

5

3

3

3

2

5

5 – Operations; Assets

4 – Likely

20

Very High

8–24 hours

Server Failure

3

5

3

3

3

2

5

5 – Operations; Assets

3 – Possible

15

High

8–24 hours

Database Corruption

4

5

5

4

3

2

5

5 – Operations; Legal; Assets

3 – Possible

15

High

1–3 days

Cloud Service Outage

3

4

3

3

2

2

5

5 – Assets

3 – Possible

15

High

8–24 hours

Power Failure

4

5

4

4

5

4

5

5 – Operations; Social Responsibility; Assets

3 – Possible

15

High

4–24 hours

Hardware Failure

3

4

3

2

2

2

5

5 – Assets

3 – Possible

15

High

4–24 hours

Software Failure

3

5

3

3

2

2

5

5 – Operations; Assets

3 – Possible

15

High

8–24 hours

Backup Failure

4

5

4

4

3

2

5

5 – Operations; Assets

2 – Unlikely

10

High

1–3 days

Data Centre Failure

5

5

4

5

4

3

5

5 – Finance; Operations; Reputation; Assets

2 – Unlikely

10

High

3–7 days

Identity & Access Management Failure

3

5

4

3

3

2

5

5 – Operations; Assets

3 – Possible

15

High

4–24 hours

Artificial Intelligence System Failure

3

4

4

3

4

2

4

4 – Operations; Legal; Social Responsibility; Assets

2 – Unlikely

8

Moderate

1–3 days

 

 

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The Risk Impact and Likelihood Assessment translates the Threat Register developed in earlier chapters into a structured assessment that enables KKH to prioritise risks based on their potential consequences and probability of occurrence.

By evaluating each threat across seven impact dimensions and combining the highest credible impact score with an independently assessed likelihood, the hospital gains a consistent and transparent basis for determining risk ratings and prioritising management attention.

The assessment demonstrates that healthcare organisations such as KKH face significant exposure to clinical, technological, workforce, infrastructure and supply chain risks.

Threats, including infectious disease outbreaks, cyberattacks, ransomware, network failures, workforce shortages, and critical supplier disruptions, have the potential to affect multiple impact areas simultaneously and therefore warrant enhanced preparedness, resilience measures, and executive oversight.

Equally important are low-likelihood but high-consequence events such as fire, terrorism, structural failure and medical gas incidents, which require robust contingency planning despite their relatively infrequent occurrence.

It should be recognised that the scores presented in this chapter are intended as decision-support tools rather than definitive measurements of organisational risk.

They should be validated through KKH's risk governance process, taking into consideration actual control effectiveness, operational experience, emerging threat intelligence, regulatory requirements and the organisation's approved risk appetite.

A well-developed Risk Impact and Likelihood Assessment enables management to make informed decisions regarding Business Continuity Strategy, Crisis Management, IT Disaster Recovery, resource allocation and Operational Resilience investment.

Regular review and reassessment ensure that the Risk Assessment Report remains aligned with changes in the operating environment, emerging threats, technological developments and evolving healthcare service requirements.

Ultimately, an effective Risk Assessment not only identifies which threats may occur but also provides a clear understanding of their potential consequences, likelihood and expected duration of disruption, thereby strengthening KKH's ability to sustain essential healthcare services during incidents, emergencies and disasters.

 

 

 

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