OBJECTIVES: To identify the level of influence of people involved in health technology assessment (HTA) and drugs’ reimbursement in the UK (with an example of Alzheimer’s disease) and to gain deeper understanding who these people are and how they are interconnected within complex HTA network. METHODS: The information about members of key national UK HTA agencies (NICE, SMC, AWMSG) was extracted from the agencies web-sites, supplemented by information from other sources, and categorized. Next, we analyzed Alzheimer’s disease drugs’ assessments (ten HTAs of donepezil, reminyl, rivastigmine, and memantine published from 2001 to 2012). The information about people involved in those assessments was extracted and categorized. A scoring algorithm was developed to calculate each person’s weight of influence based on a person’s involvement in the assessments and a role within HTA agencies and other organizations. Ni3 visual analysis software was applied to the dataset to observe and visualize interconnections. RESULTS: We identified a segment of top influential people within the dataset and analyzed their interconnections (involvement in multiple assessments, organizational affiliations). In total 291 people (associated with the agencies or external) were directly or indirectly involved in HTA process. The majority of these people (61%) were clinicians whereas 11% and 17% had economic and policy background respectively. The average score of SMC members’ weight of influence was higher than NICE members because SMC members were mostly involved in multiple assessments. One individual was identified as connected to three key HTA agencies. NHS, University of Southampton, University of Glasgow, and NIHR HTA were identified as key organizations indirectly involved in HTA through their members’ connections. CONCLUSIONS: HTA network is a complex system with many different stakeholders. Zooming into this system at the people level allowed deeper understanding who these people are, how they are interconnected and contribute to reimbursement decision making process.