Risk Management System
Links clinical testing to Second Line Governance
Third Line Internal Audit Management Risk Awareness and Key Control Testing
Automated risk control and assurance testing
Real time risk profile analysis
Mapping risk to owners
Risk Library to support future and existing risk scenarios
Key Control Library as a central repository
Integrated with reporting dashboards
Inherent and residual risk assessment
A Risk Management Framework enables an organisation to appropriately develop and implement strategies, policies, procedures and controls to effectively manage different types of material risks.
To be effective, organisations must apply a Risk Management Framework (RMF) with a Management Framework (RMF) with a comprehensive organisation-wide view of its material risks and controls.
These comprise of systems, structures, policies, processes and people that identify, measure, monitor, report and mitigate internal and external sources of material risk.
To achieve this, QC Health employs three components of a RMF within an Enterprise Risk Management (ERM) assessment, consisting of:
- Risk Allocation
- Inherent Risk Assessment
- Key Control Design and Effectiveness Testing
- Residual Risk Assessment
Make accurate decisions to mitigate risk with all available data
Ensure compliance with all controls and audits
Deliver 3 Lines of Defence for complete risk mitigation
Unparalleled insight into the risk landscape of your organisation.
Utilising this 3-pronged foundation, QC Health provides a comprehensive, automated Management Information System which links First Line Assurance (Clinical Audit) testing to Second Line Governance and Responsibilities, which are further supplemented with automated risk control testing and Third Line Internal Audit Management Risk Awareness and Key Control Testing.
Configured to meet the specific requirements of an organisation, QC Health provides regular, timely and accurate information concerning your organisational risk profile and management, enabling organisations to make sound business decisions backed by on demand information.
As with other solutions within the FutureIM suite, ERM was designed to be flexible in its configuration and deployment and easily integrated with other line of business systems.
ERM also integrates with Reporting Dashboards to enable thorough insights into the risk landscape of your organisation.
Reporting Dashboards aggregate valuable organisational information from all data sources that form the FutureIM solution as well as other third-party applications that are part of your organisation’s IT ecosystem to provide complete visibility and analysis. Dashboards are configured to utilise this raw data and display it in a variety of ways, including charts, graphs, maps and more. Users can view and interact with these dashboards using filtering and drilldown functionality to create the exact view into the data they need to make critical decisions.
Reports can be deployed as role-based, enabling a consistent view of organisational data to all users of the same role. This promotes a consistent approach to data analysis and process improvement as well as stronger engagement and accountability across the organisation. Reporting dashboards utilise Microsoft’s Power BI, the most sophisticated business intelligence and data visualisations engines available. FutureIM has experienced and professional data analysts on staff that can create spectacular visuals whilst providing the most up to date and contextual data needed to run your organisation.
Reporting Dashboards can be viewed directly from within QC Health, for relevant and up to the minute data on all aspects of an integrated Quality and Compliance system but can also be made available from other applications on various devices.
- Get real-time data and insights into your healthcare organisation
- Drill-down capability enables users to delve into your data quickly and easily
- Bring together data from multiple systems to get a complete view of your organisation
- Export data directly to MS Excel for ad hoc analysis