Neurocognitive disorders (NCDs) present a significant challenge in aging populations, impacting cognitive function and quality of life. This project represents development of a computerized multi-factor neurocognitive screening system (MFNS) as a comprehensive approach to assess susceptibility to NCDs. NCDs, including Alzheimer's disease and Parkinson's disease, are multifactorial conditions affecting memory, attention, language, and executive functions. Current diagnostic methods involve clinical evaluations, cognitive testing, and neuroimaging, but often fail to detect subtle early signs. The MFNS integrates cognitive assessments, including screening for neurocognitive functional domains, symptom domains, and behavioral changes, alongside evaluation of known risk factors. A novel component includes speech biomarker-based screening using digital technologies to analyze speech patterns for early detection markers. This approach aims to improve diagnostic accuracy and enable earlier interventions, potentially enhancing patient outcomes. Future directions involve refining algorithms, expanding datasets, and addressing ethical considerations to optimize the MFNS for widespread clinical use, marking a pivotal advancement in neurocognitive healthcare.