In an era of accountability and value based care, program evaluation is no longer a one off report – it’s an ongoing process for improvement, informed decision making, and strategic growth. At Intellimed we don’t see evaluation as a passive assessment but as an opportunity to drive real change.

We work with health organisations, government bodies and care networks to evaluate the effectiveness, efficiency and equity of health programs, services and initiatives, so the outcomes are not just measured but meaningfully applied.

We combine robust methods with practical wisdom, tailoring each evaluation to the specific needs, scope, and program context.

• Purpose-Driven
  We start by defining the purpose of the evaluation: Are we measuring impact? Informing the redesign process? Measuring expected or realised value? This sets the underlying tone for the entire review process.

• Mixed-Methods
  We use both qualitative and quantitative methods such as data analytics, stakeholder interviews, surveys, and outcomes tracking to get the a full context driven understanding.

• Collaborative
  We engage stakeholders at all levels, from frontline staff and program participants to executives and funders, to ensure that our conclusions reflect diverse perspectives.

• Contextual
  Our process does not take place within a bubble. Our team is sensitive to the complexities of healthcare and designs evaluations that reflect the system and local realities.

• Practical Recommendations
  Our outputs do not just describe what is happening but also explain the why and what it is that is required next. Every insight is actionable and relevant.

It’s not just about accountability, it’s about learning what works, refining what doesn’t and making sure every program or initiative delivers maximum value to the community it serves.

By investing in thoughtful, evidence-based program review and evaluation, health organisations can:

• Get real world feedback on program effectiveness

• Show value and impact to funders, boards and regulators

• Identify waste and redirect resources to where they are needed most

• Improve future program design and scalability

• Build a culture of continuous improvement and data driven decision making