The solution helps health systems to take a step-by-step approach to manage risk from population- to patient-level with easy to use dashboards powered by clinical and claims data. First, it helps understand the current state of risk management in the network with historical comparison to previous years risk scores. Second, it can answer “where to focus” by identifying the cohorts with the least risk recapture rates or maximum dropped/suspect codes, chronic disease distribution, month on month risk capture trend and more. Third, it helps prioritize patients with the largest number of coding gaps and get patient-level risk information to redirect resources strategically that reduces overall risk for the population.

Innovaccer is the data platform that accelerates care innovation through innovative AI technologies. Innovaccer’s AI-powered healthcare platform unifies patient data across systems and care settings, and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer’s EHR-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is an industry-leading data and analytics platform, the Best in KLAS CRM solution, and the #1 rated population health technology platform by Black Book

AI to review all patient data, ensure diagnoses are not missed, and automating note-writing.

Regard uses proprietary algorithms to automatically diagnose and document conditions on behalf of inpatient providers. These automatically-generated notes save providers time, reduce coding queries, and have a dramatic impact to hospital finances.

Regard is an AI-powered clinical co-pilot that automatically diagnoses patients and writes notes for physicians. On average clinicians save 2-3 hours per day and each provider generates an additional $100,000 in revenue every year. Hospitals see a $3-6M revenue improvement from just their first department on Regard. Best of all, physicians love the software and it improves patient care.

Innovaccer's coder assistant identifies missing codes based on claims data and suggested clinical markers, helping avoid improper data submission and related consequences such as lengthy audits and repayments to CMS. The solution enables physicians and coders to save time by identifying information that could not be directly found in the patient's clinical or claims data. Failing audits, repayments to CMS, and legal ramifications are some of the unfortunate outcomes of improper data submission. Automation helps overcome these challenges by detecting suspect and dropped codes while reducing administrative burden.

Innovaccer’s risk management solutions support these efforts to help healthcare providers achieve their risk goals. The AI-powered coder assistant helps providers address coding challenges by analyzing dropped codes and reviewing claims data over multiple years to identify prospective coding opportunities and surface suspect codes based on evidence. This enables them to receive appropriate reimbursements by providing high-quality care to patients

Regard diagnoses automatically. The EHR supports overall health system goals and is the operating system for all functions, but Regard expands your care team using AI. Regard diagnoses, recommends treatments, and automates documentation to ensure patient safety, improve clinician quality of life, and supercharge CDI & rev cycle.

Regard drafts the note just like an AI resident before the clinician even sees the patient. By doing this upstream, we can reduce the burden on the clinician and supercharge downstream tools like clinical alerts, CAPD, and CDI.

Regard takes a holistic view of the patient to improve safety, reduce medical errors, suggest improvements to care, and ensure that the documentation is complete & accurate.