#Buddi health medical coding manual#
Based on RARC/CARC denial codes and automatically classified into respective denial work queues, an automated first-pass analysis is completed and then dropped into respective queues for experts, if needed, to conduct manual review prior to reappeal. ĚI Driven Denials Root Cause Analysis: Analyzes revenue leakage and reduces the lead time to get reimbursed for services rendered by eliminating the potential of manual error across the billing process, including explanation of benefits (EOB) root cause analysis.This real-time automation of the claims submissions process cuts down A/R times by 3X to 6X depending on the provider organization. ĝenial Prediction & Prevention | Claims Automation: Analyzes historical denials, approvals, patterns and other payer behavior based on both BUDDI AI and the institution's experience, to proactively predict and prevent errors with claim submission, leading to reduced denials, faster A/R times and higher payer reimbursement.Medical Coding Automation: Automates structured and unstructured coding volumes-often the most burdensome function of RCM-with 95% or greater coding accuracy, contractually guaranteed, to help reduce denials and increase reimbursements.Prior Auth Identification: Applies natural language processing (NLP) and graph technology to autonomously identify certain clinical procedures which require prior authorization from the respective payer, and kick starts the respective prior auth approval process, thereby cutting down significant labor time on a daily-basis and denials.Smart Patient Registration: Simplifies the front-end patient intake process by capturing relevant information and documentation electronically with pre-reg options, including real-time insurance eligibility verification, to avoid delays and provide the best possible patient experience with mobile based appointments and payments.Fully customizable using our state of the art "drag & drop" workflow, which customizes features to the facility level and can be integrated within your existing workflows. "With Practice.AI, our goal is to help ensure healthcare workers from practices big and small can get back the time and resources needed to take care of what matters most-their patients."įront-end, mid-cycle and back-end automated RCM solutions are all included within the Practice.AI & Measures.AI suite combined. With Practice.AI & Measures.AI suites combined, we're disrupting that pattern and giving healthcare workers an improved, automated and truly intelligent RCM experience to go beyond management to actively predicting, preventing and solving your most pressing healthcare challenges combined with automating quality clinical measures for value based care," said Ram Swaminathan, Co-Founder and CEO of BUDDI AI. "Until now, the healthcare RCM industry has been largely stuck in a cycle of management-managing claims, denials and appeals as well as patients, providers and payers. Powered by the first and only healthcare contextual lake, Practice.AI & Measures.AI goes beyond robotic process automation with AI that understands clinical context and the complexities of healthcare data to optimize RCM workflows and take the administrative burden of registration, coding, quality measures, risk adjustment for value based care models, clinical documentation improvement, billing and more, off healthcare workers so they can focus on value based care.
DUBAI, UAE, Janu/ / - BUDDI AI, the leading provider of artificial intelligence (AI)-powered healthcare solutions, today announced the expansion of their revenue cycle management (RCM) automation applications with a new comprehensive end-to-end RCM suite including Quality Measures, Risk Adjustment Scores for Value Based Care models, Practice.AI + Measures.AI.
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