System for management and analysis of data, clinical notetaking and recordkeeping for use in mental health and allied professions; use of proprietary algorithms in web-based platform to support clinical documentation, quality assurance and data oversight in clinical services; system to enhance positive clinical outcomes, data intelligence, compliance and operational efficiencies; use of AI to enhance quality documentation, clinical information capture, positive clinical outcomes, actionable data insights, compliance and operational efficiencies; compilation and processing of business data relating to mental health; compiling, processing, and publishing patient data relating to mental health for the purpose of improving clinical treatment and outcomes, operational efficiency and research; tool to assess clinician recordkeeping, professionalism, and clinical efficacy; training tool for clinical documentation for clinicians and students; tool to train clinical supervisors and assess clinical supervision and supervisors; system to automate and increase efficiency of clinical information gathering from clients and collaterals, and documentation of same; use of AI and data science to predict and recommend diagnoses, treatment plans, clinical and support services and outcomes; computer software to aid in documenting patient care by generating admission or intake notes, progress notes, treatment plans, and termination summaries; system to construct notes from lists of symptoms, problems, impairments, treatment goals, and other relevant clinical data; system to generate quality assurance, compliance and clinical reports; and system to maintain a database of clinical records concerning mental health treatment as used by mental health professionals; adaptive proprietary frameworks for multiple clinical documentation types and multiple clinical or workplace settings.