LOUISVILLE, Ky., Sept. 27, 2022 (GLOBE NEWSWIRE) — President of RAPID, a leading provider of artificial intelligence-based technology solutions for value-based healthcare organizations risk-adjusted environment, Chetan Parickrecently noted, “The growing focus on placing the patient at the center of all care coordination has dictated the need for a patient-first approach that will allow patients, physicians and care coordinators to easily connect rather than operate individually,” in Press.
Because primary care, specialty care, urgent care, urgent care, long-term care, hospice, and mental health care are multiple types of patient care, a patient-first approach is a current need in healthcare.
Healthcare Information Technology (HIT) for healthcare providers and payers Next Generation Solutions Improve patient safety by eliminating medication errors and improving the quality of healthcare. However, healthcare organizations must understand the importance of choosing the right technology to ensure patient safety.
Natural Language Processing (NLP) enables healthcare professionals to easily obtain patient-specific information, which can improve healthcare providers’ decision-making to deliver quality care.
“Clinical decision support depends on patient-specific information; therefore, healthcare organizations need better and modern ways to manage patient data to improve population health,” Pariq Add to.
AI technologies are helping healthcare providers, healthcare payers, and medical coding companies fill care gaps by easily integrating patient electronic medical records (EMRs) from multiple sources across multiple structures in real-time under a single dashboard. Additionally, NLP-based technologies allow healthcare professionals and medical coders to modernize their administrative workflows while automating these repetitive tasks and HCC code validation for better calculation of risk-adjusting factor (RAF) scores.
Healthcare technology also plays an important role in improving chart accuracy and ensuring compliant clinical data is submitted to the Centers for Medicare and Medicaid Services (CMS) for use by payers and medical coders.
With medical coding in mind, AI-based technology will be an add-on to ensure correct derivation of RAF scores, allowing healthcare providers to take full advantage of reimbursement and improve their immediate services.
RAAPIDs has innovated to become the world’s leading provider of artificial intelligence-based technology solutions, providing a customizable risk-adjusted environment for value-based healthcare organizations.
RAAPID.AI is powered by Artificial Intelligence (AI), Machine/Deep Learning (ML/DL), Natural Language Processing (NLP) and Knowledge Graph.
“The goal of RAPID.AI, available in SaaS and API technology, is to empower healthcare payers, providers, and medical coding companies with better medical record data accuracy, compliance with RAF scores, and most importantly, continually upgrading their technology , can be beneficial to contribute to value-based care,” RAAPID Chairman Summarize.
Associate Director – Branding and Communications
Figure 1: Patient First Approach
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