To tackle challenges like mid-cycle revenue leakage, improve patient care pathways, and optimize resource allocation, healthcare needs smarter technology. Iodine leads this evolution with CognitiveML, the most advanced clinical AI engine.

Iodine Software’s CognitiveML is transforming healthcare with its advanced AI engine that processes clinical data at scale to deliver actionable insights and predictions. This technology tackles mid-cycle revenue leakage, enhances patient care pathways, and optimizes resource allocation, setting new standards for efficiency.

Unlike traditional systems that rely on rules and checklists, CognitiveML offers clinically-trained cognitive expertise. It uses AI and machine learning to analyze patient records, generating predictive insights akin to a physician’s judgment. Iodine’s Forecast™ module automates the assignment of Diagnosis-Related Groups (DRGs), streamlining the process and eliminating the need for conventional working ones. This innovation boosts productivity, data accuracy, and financial outcomes, significantly improving efficiency in healthcare data management.

Iodine’s Concurrent™ module amplifies this capability by assessing clinical records to identify documentation gaps and predict conditions. Similarly, the Forecast™ module further automates the assignment of Diagnosis-Related Groups (DRGs), streamlining the process and replacing conventional methods.

Healthcare organizations using Iodine’s technology are experiencing substantial benefits. They have reported an additional $1.5 billion in appropriate reimbursements annually. More than 900 hospitals have embraced Iodine’s solutions, resulting in a 136% median increase in normalized query volume and a 27% average rise in MCC capture volume, as demonstrated in the 2020 and 2022 Iodine Cohort Studies.

Iodine Software distinguishes itself by harnessing the full potential of AI to advance care delivery and financial stability. Unlike traditional AI applications that rely on simple rules and checklists, CognitiveML integrates machine learning with natural language processing. This approach provides insights previously out of reach, allowing healthcare organizations to boost their efficiency, resilience, and overall standard of care.

What sets Iodine Software apart is its commitment to harnessing the full potential of healthcare data through CognitiveML. Unlike simpler AI technologies, CognitiveML captures the nuanced realities of clinical care, enabling healthcare providers to navigate complex challenges more effectively. This transformative approach is helping organizations achieve greater financial stability, improve care delivery, and advance the overall standard of patient care.

At Iodine, we’re redefining healthcare with CognitiveML, transforming data into actionable insights and delivering unparalleled accuracy and efficiency. Our goal is to empower healthcare teams to achieve unprecedented results. — William Chan, CEO & Co-Founder

Iodine’s Aware Suite revolutionizes mid-cycle revenue capture, addressing revenue leakage with an approach that surpasses traditional rules-based, marker, and NLP solutions. AwareCDI, powered by CognitiveML, tackles every stage of revenue leakage, from admission through post-billing review. This comprehensive solution enhances CDIS efficiency, optimizes resource allocation, increases query creation and response rates, and minimizes denials and DNFB.

Healthcare organizations often face revenue leakage due to insufficient CDI resources and inefficient query processes. AwareCDI resolves these problems by comparing existing narrative language with CognitiveML predictions, leading to a 134% increase in query volume and a 90% improvement in MCC capture. The solution facilitates compliant query creation through an intuitive interface, achieving a 94% physician response rate and reducing response time to under 31 hours. It also provides real-time predictions of discharge DRG and GMLOS, enhancing post-discharge, and pre-bill reviews, resulting in a 95% increase in reimbursements and an average additional reimbursement of $48+.

For utilization management, Iodine’s AwareUM applies machine learning to prioritize workflows, ensuring appropriate patient status and boosting UM team efficiency. It identifies gaps between clinical evidence and patient status, emulating clinical thinking with continuous, comprehensive case reviews. This approach enhances revenue capture, reduces time spent on patient record review, and improves compliance. AwareUM supports accurate patient status determination, and faster status decisions, and prevents administrative denials with evidence-based prioritization and AI-assisted clinical summaries.

As one of the fastest-growing healthcare tech companies, Iodine Software continues to lead the charge in developing innovative AI-driven solutions that address critical challenges in the healthcare sector, driving progress and setting new standards for intelligent care.