Healthcare Triangle Inc. announced that Monument Health taps Healthcare Triangle to automate their document processing through readable.AI. Healthcare Triangle?s deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) has helped Monument Health turn their clinical data from disparate sources into actionable insight. At Monument Health, the ability to close gaps in care depends on data availability at the point of care. As a result, this community-based health care system, headquartered in Rapid City, SD, ingests thousands of pages of data daily, which were manually identified, categorized, and uploaded by staff into its electronic health record (EHR) so the data could be delivered to providers at the point of care. With over 5,000 physicians and caregivers across 5 hospitals and 38 medical clinics serving 12 communities, Monument Health?s paper-intensive nature and need for efficient management of information while ensuring data security required an advanced automation solution for image recognition and document analysis. Monument Health leveraged Healthcare Triangle?s cloud-based AI and machine learning readabl.ai solution to automate the process of categorizing data from unstructured reports and pair the right information with the right patients. readabl.ai uses the public cloud artificial intelligence and machine learning to recognize and extract information from documents, faxes and narrative reports which adds value as more documents get processed. HCTI?s AI-powered document processing solution lets the integrated health system focus on higher-value activities related to patient care rather than document processing. It?s an approach that positions Monument Health to meet the complex health needs of its population more effectively. With HCTI?s strong partnership and expertise in AI and machine learning, Monument Health achieved: Streamlined patient care through faster processing, Cost reduction through labor savings, Integration to the EHR & other key applications using FHIR APIs, Accuracy through the latest AI and language processing ML models, Scalability through public cloud.