Innovative Behavioral Health AI Solutions Helping Improve Outcomes
Core's behavioral health artificial intelligence (AI) solutions are empowering providers to deliver better quality care for those they serve. Embedded into the Cx360 EHR, these cutting-edge, user-friendly technologies increase access and strengthen performance across the ecosystem of care.
Core Clinician Assist: Documentation
Record spoken sessions* with clients and instantly receive summaries for review, editing, and documenting your progress note. Using natural language processing (NLP) to data mine symptoms identified in notes from all providers who engage with a client paints a clearer picture to help identify behavioral health needs before rendering treatments or services. Studies have shown ambient dictation saves 25% to 40% of clinician time.
* Core does not save any of the recordings used to provide the summary, eliminating HIPAA and other potential privacy issues.
Core Clinician Assist: Symptom Tracking
Discover behavioral health conditions earlier and more accurately. A symptom and diagnosis tracking algorithm using NLP tools scans provider and other caregiver notes to identify difficult-to-see symptoms and then connects those symptoms to potential associated diagnoses. An intuitive visual representation of potential diagnoses further aids in the clinical decision-making process.
Core Clinician Assist: SDOH Tracking
Identify Social Determinants of Health (SDOH) issues of concern for your clients well before you bring them in for an assessment. Similar to Symptom and Diagnosis Tracking, the SDOH Tracking algorithm identifies SDOH issues raised by clients and makes that information readily available to clinicians at the point of care.
Symptom and Diagnosis Tracking and SDOH Tracking* are also available as standalone algorithms. They can be utilized by any provider on any EHR or care management platform via an easy-to-implement API.
* Patent pending.
Core Clinician Assist: Anomaly Detection
Identification of outliers enables administration to review progress notes for clinical appropriateness. Example: A provider prescribes a dosage of medication well outside the normal boundaries of care. Anomaly detection quickly flags issues that can negatively affect outcomes. Client encounter patterns (no-shows) are also reviewed to identify scheduling efficiencies which can lead to a reduction in your no-show rate.
Smarter Revenue Cycle Management
Supercharge your billing system with intelligence that reviews 80 iterations of rules before a claim is completed and submitted. Identify missing and incorrect information to improve your clean claim rate and receive faster reimbursement while reducing costly denials and time-consuming appeals.
Much More on the Horizon
Cx360 users can look forward to the addition of new behavioral health AI solutions, including chatbots that allow for verbal navigating of the EHR and clinical recommendations for treatment based on current best practices.
