Tangible Impact
Health Tech Enterprise’s budget impact analysis provided the innovator with a clear financial case for their smart referral solution. Our interactive model allowed them to explore different market scenarios, demonstrating potential cost savings and efficiencies in fertility referral pathways within the NHS. With our insights, the innovator could refine their value proposition, strengthen stakeholder engagement, and identify key data points for future validation—enhancing their chances of successful adoption.
“Collaborating with HTE has proven to be an invaluable experience from the very beginning. The comprehensive analysis carried out has played a pivotal role in illustrating the cost implications of our SMART Referrals Functionality. The study underscores that our innovation is projected to generate cost savings by reducing referral error rates and expediting the referral management process. Additionally, HTE provided essential recommendations for future data collection efforts, which will further bolster the quantitative evidence affirming the positive cost impact of our technology.” David Parker – Head of Sales & Account Management of DXS
Assessing the Challenge
The innovator developed a smart referral solution designed to improve efficiency in primary and secondary care by reducing inappropriate referrals, excessive secondary care appointments, repeat GP consultations, and administrative burdens. To support the value proposition of this innovation, Health Innovation East commissioned Health Tech Enterprise to assess its financial viability for referrals to Fertility Units through a budget impact analysis.
Tailored Approach
We began by conducting interviews with healthcare professionals in primary and secondary care to understand the current referral management processes in GP surgeries and Fertility Units. Using these insights, we developed a decision analytical model in MS Excel to simulate the projected incremental cost impact of the innovation over a five-year period. The resulting interactive model empowered the innovator to explore different adoption scenarios and identify data points requiring validation in future studies—ensuring a robust and evidence-based approach to market entry.
