Focusing on the most appropriate (sub)populations amplifies the effectiveness and accuracy of digital communications. Machine learning outputs, along with evidence-based personalization can be used in identifying target populations and tailoring digital health interventions.
Interconnected with multiple SMS aggregators, MEMOTEXT utilizes a multi-backup/swappable aggregator strategy. MEMOTEXT has expertise in managing for multi-language and dynamic content while ensuring privacy and security criteria are adhered to.
MEMOTEXT’s omni-channel, evidence-based engagement tailoring algorithms enable adherence, care-coordination and support communications to be tailored to the individual level. Tailor based on context-specific: assessments, wearable data, responses and health data inputs.
AI/ML (hosted and cloud-based tools) in addition to quasi-bots (or scripted bots) are used for natural language interactions to increase engagement with validated assessment questionnaires, intake/onboarding and intervention (program messaging) interactions.
MEMOTEXT’s Internal Survey Builder is designed and developed to enable rapid deployment of mobile aware, feature rich online forms and surveys capable of advanced-logic data collection while integrating using a RESTful API.
Choose from a selection of patient-facing and clinician-centric portal components, dashboard elements and data visualizations. We make co-design with clinicians, patients and caregivers fast and meaningful with empathy-based, evidence-driven development experience.
MEMOTEXT will provide a comprehensive reporting package for managerial and clinical staff with the most up-to-date information based on requirements. MEMOTEXT can collaborate to jointly define key performance indicators (KPIs) and provide analytics on program performance.
MEMOTEXT Data Science is used to identify at-risk populations for accurate digital engagement deployment. Often referred to as the “Now-What” after analytics, MEMOTEXT is often deployed as a result of time-series analyses related to adherence changes, treatment-complexity and several other use-cases.