Health state utility values (HSUVs) are used to measure health-related quality of life in cost-utility analyses (CUAs). The formal adoption and endorsement of CUAs by decision makers motivates methodological advancement in utility measurement and application. Different preference elicitation methods (e.g. standard gamble, time trade-off, and discrete choice experiments) have been developed and applied. There is also a growing interest in developing generic and condition-specific utility-based instruments. As a result, the number of studies that use these methods to estimate HSUVs has been increasing substantially over recent decades. This is imposing a challenge for users to identify and select HSUVs for their CUAs. To promote the systematic identification, critical appraisal, and appropriate use of published HSUVs, we have established the Health Utility Book (HUB) project, a multi-institution initiative based out of McMaster University (Canada). One of the components of the HUB is the development of an online, searchable registry of published HSUVs. The registry will catalogue studies which use a direct, indirect, or combination approach to eliciting preferences, as identified through a systematic literature review (CRD42018095049) of medical literature databases. To accomplish this, we follow systematic review best practices, including the recent ISPOR Task Force’s recommendation on searching for HSUVs. No restrictions will be placed on date or language of publication. A team of reviewers, working independently and in duplicate, will evaluate abstracts and full-text publications for eligibility. Data extraction will capture details of study methodology, participants, health states, and corresponding HSUVs. We will present a pilot review focusing on thyroid cancer. The health utility registry will provide investigators a means of rapidly and confidently identifying relevant HSUVs for their CUAs in lieu conducting a bespoke systematic review. Through this, we anticipate saving resources and time for repeating tedious and resource intensive reviews for HSUVs.