Qualitative evidence synthesis (QES) is a scientifically rigorous and well-established literature review methodology that aggregates results from primary, interview-based research involving patients (Booth, 2017; Sandelowski & Barroso, 2007), using techniques such as thematic or narrative synthesis, meta-ethnography, and meta-summary (Mohammed et al., 2016). In disease areas with an existing body of published qualitative evidence, QES can be a time- and cost-efficient evidence-generation approach when compared with conducting a standalone qualitative study (e.g., concept elicitation). By identifying commonalities among patient samples, QES can identify shared concepts across patient reports and highlight existing evidence gaps. As patient-focused drug development continues to be a priority in the United States and Europe, QES is particularly well suited to capture and relay patients’ views regarding symptom impact, disease experiences, and treatment goals, to inform clinical trial measurement priorities and treatment experiences for health technology assessments. Its wider application could thereby help to bring the patient’s voice to the forefront of clinical development and evaluation. Yet despite this potential, QES is an under-utilized methodology. A key factor in this underuse may be lack of awareness of QES followed by concerns about methodological challenges that can occur when developing the approach to conduct QES. These include indexing inconsistencies, validation of search strategies, appropriate selection of articles, appraisal and quality assessment tools, coding synthesis decisions, mixed-methods integration, and variability in reporting of results. Against this background, our presentation will illustrate the promise and limitations associated with QES through applied examples in disease areas with abundant patient-reported evidence. It will also recommend resources and solutions to problems in applying QES and emerging best-practice approaches for using the methodology in evidence generation.