BACS vs Linus Administrator

Balance ACS™ (BACS™) is a comprehensive platform that applies three-dimensional solutions across the entire clinical care continuum to help drive quality outcomes for spine patients. The BACS Portal contains numerous tools to provide the necessary services—from preauthorization and preoperative planning to 3D anatomical modeling and postoperative reporting—to facilitate quality outcomes and to support the intraoperative process.

The Linus Health platform – a suite of digital cognitive assessment, clinical decision support, and intervention solutions – helps providers catch cognitive impairment early and efficiently; turn insights into action; and boost the bottom line. Augmenting human expertise with cutting-edge AI, the platform brings visibility to early, subtle signs of cognitive issues that traditional paper-based tests may miss and empowers providers with actionable recommendations. The Linus Health Administrator app allows existing customers to register patients, administer cognitive assessments, and route results to providers quickly and easily. Using an iPad and Apple pencil, patients complete assessments with minimal oversight. With automatic scoring and interpretation, results are immediately available to providers.   Key features and functionality support a smooth clinical workflow: • Enroll a patient (name & demographics) • Select assessments • Assign to a provider for interpretation of results • Administer assessments • Immediate sync with the Linus web portal for clinicians to view results Core Cognitive Evaluation™ Combines quantitative insights from our next-generation digital assessment with qualitative insights from a life and health questionnaire, helping providers understand both a patient’s current cognitive status and future dementia risk. DCTclock™ Uses advanced machine-learning algorithms to provide nuanced measures of motor, cognitive, and time-based performance that are not visible to the naked eye or captured by the traditional clock drawing tests. DCR™ - Digital Clock and Recall Uses advanced machine-learning algorithms to detect subtle signs of cognitive impairment by analyzing the patient's drawing behavior and speech during the digital clock drawing tasks and 3-word verbal recall.