Driving Actionable, Profitable, Payer/Provider Collaboration
KAID allows providers and payers to collaborate to achieve their individual clinical, operational, and financial goals, including revenue optimization and bending the cost-curve.
Such payer/provider collaboration is centered around making sure all open items around the patient are addressed and documented during each care encounter. By aggregating, organizing, and prioritizing care gaps, documentation & coding issues, and clinical interventions for the entire panel, KAID translates complex population health strategies into tactical & practical steps for the care team.
Making true collaboration possible
Arms the point-of-care with accurate, actionable, prioritized interventions based on granular clinical data from the EMR, including NLP analysis of the medical notes.
Appropriately incentivizes, in real-time, the providers and support staff who successfully execute the interventions.
Ensure Task Completion
Tracks and reports on the execution of patient interventions by the care team throughout the entire workflow.
Free Up Clinician Time
Automates key administrative tasks associated with patient interventions, saving provider time while reducing burnout.
A total collaboration solution
KAID allows all providers to financially benefit from improved patient care and documentation. In doing so, KAID Health drives more revenues to the health system, promotes care quality and efficiency, and empowers more satisfied providers to empathically engage all patients.
A population health and risk adjustment patient-analytics platform, featuring robust clinical Natural Language Processing, to automatically identify and manage cohorts of patients in need of intervention.
Team-based workflow solution, integrated with the EMR, to ensure patient opportunities are timely and efficiently addressed.
Configurable, prioritized, platform for deploying auditable, results-oriented provider incentives to all members of the care care team.
Promote/incentivize actionable campaigns to providers, identified directly from the providers’ EMRs, to drive reimbursement and quality.
Generate new revenues for addressing clinical and operational issues, while better addressing your patient’s needs.
Only KAID Health
Brings togethers payers and providers on a single platform, ensuring each provider is properly incentivized to do all that needs to be done on each patient.
Unlocks all data in EMR via AI to continually identity care and documentation improvement opportunities, including HCC coding & documentation quality, HEDIS/STARS, clinical interventions, and patient engagement.
Combines EMR clinical analytics, workflow tracking, and incentives management into a single collaborative care platform.
The Power of AI to Improve Collaborative Care
The KAID platform automates multiple elements of collaborative care by leveraging all available patient data. Rather than relying on non-specific and untimely claims feeds, KAID employs AI & Natural Language Processing to ensure all care coordination activities are driven by the entirety of the medical record. From the medical record and other sources, KAID helps care teams identify patients who would benefit from interventions, creates structured care plans for patients around those needs, and tracks compliance with those plans. KAID has written extensively on this. Please download any of the free white papers below.
Free White Paper Downloads
Payer/provider patient co-management
More profitable care from patient-centric payer/provider collaboration
Here, we attempt to address a fundamental healthcare issue: how can providers and payers work together for the benefit of the patient when their individual roles in the overall system are evolving rapidly? Tactically, we propose a new model: “payer/provider patient co-management.” This approach can create billions of dollars of value to the health system and to the innovators who move fast to capture it.
Supporting empathetic behavioral health care with AI
Part 1 - Unlocking insights from unstructured data
Meeting the massive unmet need for behavioral healthcare requires innovating new care models, ones that leverage technologies to increase efficiency and efficacy. Artificial Intelligence will enable this transformation, including the ability to better identify at-risk patients, stratify their risk, intervene appropriately, and manage their care ongoing. The first step in this journey is to unlock all the data healthcare organizations already know about the patient.
Crossing the clinical natural language processing chasm
7 Requirements for cNLP to be Mainstream in Population Health
While Clinical Natural Language Processing holds great promise to transform care management, seven barriers must be overcome. Fortunately, modern technology makes this achievable.
From words to insight to automated empathy
10 Ways Natural Language Processing (NLP) Will Transform Care Management
This paper explores 10 ways organizations of all sizes can use AI and Natural Language Processing to profoundly improve the efficiency and efficacy of existing Care Management programs while moving towards an AI-driven, empathy-centric care model for all patients.