Policy Requirements
Case Management policy requirements are as follows:
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Understand alignment to Case Management Archetypes (primary stakeholder and usage).
Specific use cases can be broadly categorised into archetypes, which are groupings of comparable Case Management systems. Agencies should understand the archetype their system aligns to and use this as a focal point for identification of comparable previous investment and assessment of solution suitability.
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Develop a comprehensive understanding of non-functional requirements and considerations.
Before commencing any technology investigation, agencies should analyse and assess their specific needs and determine requirements for the Case Management solution.
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Check for existing re-useable Case Management designs before engaging in new development processes.
Consideration must be given to minimising risk, improving consistency, accelerating delivery, and lowering total cost of ownership of Case Management solutions through leveraging existing standards and designs prior to considering alternative new developments.
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Build for reuse.
Where reuse is not possible, provide evidence of which systems across government have been investigated (specifically across the archetype, usage and users, scale, and security classification of the system), and demonstrate how any new investment may be extensible and operationalised for reuse and how any new investment may benefit agencies seeking similar capability moving forward.
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Lower development and maintenance complexity of government solutions.
Low-code/no-code documented process and business rules logic that may be invoked across many channels and systems must be considered for suitability prior to programmatically developing a unified software unit that is self-contained and independent from other applications (monolithic).
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Understand the existing technology environment.
Initiatives utilising Case Management solutions must demonstrate engagement and applicability of the solution in the context of the technological environment within which they will operate, informing the technology decision and implementation approach.