Neurocognitive rehabilitation plays a crucial role in restoring cognitive abilities and enhancing the quality of life for individuals affected by conditions such as Alzheimer’s disease, stroke, and traumatic brain injuries. This chapter delves into the intersection of patient perspectives and technological advancements to optimize rehabilitation outcomes. By actively incorporating patient feedback, clinicians can gain deeper insights into the challenges, motivations, and perceived effectiveness of various interventions. To capture these perspectives effectively, tools like structured interviews, surveys, and focus groups provide invaluable data, helping tailor treatment plans to individual needs. Rehabilitation progress is assessed using both objective measures—such as standardized cognitive tests (e.g., MoCA, WMS) and physiological assessments (e.g., fMRI, EEG)—and subjective measures, including patient-reported outcomes and quality-of-life evaluations. Recent technological advancements, particularly in artificial intelligence (AI) and wearable devices, have transformed evaluation methods by offering real-time insights and predictive capabilities. These innovations allow clinicians to fine-tune interventions dynamically, improving their effectiveness. Additionally, patient engagement is significantly enhanced through interactive tools such as virtual reality (VR), mobile applications, and telehealth platforms, which make rehabilitation more personalized, accessible, and immersive. Case studies demonstrate how these technologies improve adherence, motivation, and cognitive outcomes, particularly for individuals recovering from stroke or traumatic brain injury (TBI). However, challenges remain, including issues of accessibility, affordability, and digital literacy across diverse populations. Ethical concerns, such as data privacy and potential biases in interpreting outcomes, must also be addressed as technology becomes more embedded in rehabilitation practices. Looking ahead, future advancements will focus on developing inclusive tools to capture a broader range of patient experiences, harnessing AI for highly personalized care, and expanding access to underserved communities. This chapter underscores the need for a balanced approach that integrates patient-centered care with cutting-edge technologies, ensuring that rehabilitation programs are both clinically effective and personally meaningful.