InterQual AutoReview™ is a unique cloud-based solution that automates the InterQual® Initial and Episode Day 1 medical reviews at the point of the admission decision, using real-time data from your EHR. This breakthrough in robotic process automation can eliminate up to 75% of the time it takes your UM staff to conduct InterQual reviews, and allows them to focus on the exceptions that require their clinical expertise. The solution also provides real-time decision support, potentially reducing inappropriate admissions and denials. Integrated in Your Workflow: This flexible solution as a service (SaaS) is integrated into leading EHR applications and connected to case management systems. Automatically Conducts an InterQual Review Right from the EHR: Simply submit an order to admit from your EHR, and InterQual AutoReview springs into action—extracting the necessary data to create and populate InterQual Initial and Episode Day 1 reviews. Includes Data from the Source of Truth: Automated reviews eliminate manual data-entry errors and contain the clinical values extracted from the EHR. The result is an accurate medical review that promotes transparency and trust between providers and payers. Transmits Reviews Directly to the UM/CM System: Staff can validate reviews and make any necessary edits from within their existing workflow. Authorization requests can then be sent to payers using InterQual Connect™ at a time the hospital chooses. Provides Instant Notification Back to the EHR: Ordering clinicians see the care determination as soon as the admission order is submitted. Providing clinical decision support at the point of decision helps clinicians ensure the appropriate level of care is chosen from the start. Leverages Natural Language Processing (NLP): Many critical pieces of clinical information are stored in free text, such as imaging narratives. NLP models, trained by clinical experts, extract discrete clinical data from this text to complete specific criteria points within the InterQual review. Extracts Clinical Data to the Cloud: The auto-review process is launched the moment a clinician submits an order to admit. Using the diagnosis as a guide, InterQual AutoReview sorts through multiple sources of information, both structured and unstructured, within the EHR. It extracts the relevant clinical data available at the moment of admission and transmits it securely to the cloud. The process continues to run, extracting new and updated data every 2-4 hours, up to 24 hours from the time the order was submitted. Prepares InterQual Reviews: Using robotic process automation and NLP, InterQual AutoReview analyzes the structured and unstructured data acquired from the EHR at the moment of admission and maps the discrete data to the codified InterQual Criteria. Next, the solution creates InterQual Initial and Episode Day 1 Reviews, and transmits them to your participating UM/CM system. Over the next 24 hours, the solution uses the new clinical data extracted from the EHR to update the Episode Day 1 Review in the UM/CM system. At any time during that 24-hour period, a case manager can evaluate the Episode Day 1 Review, and save or complete it. This will halt the update process, and allow the case manager to use the automated review in your normal approval workflow. Security: Information security is of the utmost importance, and compliance is complex. InterQual AutoReview has met the rigorous standards required to protect your sensitive data and is HITRUST-certified.

Change Healthcare is inspiring a better healthcare system. We are a leading independent healthcare company that provides data and analytics-driven solutions to improve clinical, financial and patient engagement outcomes in the U.S. healthcare system. Our comprehensive suite of software, analytics, technology-enabled services and network solutions take costs out of the healthcare system by driving improved results in the complex workflows of payers and providers by enhancing clinical decision-making and simplifying billing, collection and payment processes, and enabling a better patient experience. We are creating a stronger and more efficient healthcare system that enables better patient care, choice, and outcomes at scale.

Initial Insights is the first tier offering of the NICUtrition® platform. It provides the ability for a hospital to track key performance measures across the neonatal intensive care unit in a retrospective or prospective report. With a one-time data extract from a hospital’s EMR, including (up to) 5 years of historical information around feeding, growth and diagnoses, our Initial Insights reports will show milestones with 'smart' growth charts and z-scores and an outcomes analysis for the feeding and growth data collected at the individual patient and unit levels. Additionally, with EMR integration, Initial Insights is provided to the hospital via real-time access for ongoing analytics.

Setting the course for better health begins at the core. As a precision-care solution provider, Astarte Medical helps neonatal care professionals improve patient outcomes in the first 1,000 days of life by leveraging the power of automated software and predictive analytics to deliver personalized nutritional care to preterm and critically-ill infants in the NICU. We are initially focused on developing digital tools designed to standardize feeding and optimize nutrition for preterm infants, particularly for those born before 34 weeks gestational age. Astarte Medical was founded in 2016, when serial entrepreneurs and venture investors partnered with a clinical scientist and other nutrition thought leaders. The company has seen 100% growth since 2019 and currently operates with $8.5M raised from top venture financing firms and 12 FTEs. NICUtrition® by Astarte Medical, is the first real-time, nutrition management support solution, designed to standardize feeding and optimize nutrition to improve outcomes specifically for preterm infants. It allows neonatology specialists, nursing professionals, dietiitans and department heads to effectively automate their health system’s feeding protocols, simplify workflows & measure compliance for more consistent quality care delivery, while leveraging predictive analytics to support data-enabled clinical decision-making for improved patient outcomes.

EMRs were built as billing support tools and evolved into medical data repositories. Nuanced data of clinical importance can be difficult to access and currently requires dedicated technical personnel with specific skills to partner with clinical staff in a laborious approach to extract specific data. In particular, flow sheets utilized in an intensive care setting, such as the NICU, are particularly challenging to access and review in a structured format.

NICUtrition Initial Insights was built to liberate NICU feeding, growth and diagnosis data from EMRs and provide robust visualizations showing patient milestones and outcomes metrics.

NICUtrition is fully integrated with the EMR, enabling real-time access of granular, clinical data and the ability to deliver high quality support within existing workflow. We have developed properietary tools to augment EHR integration, supporting overtaxed IT groups within hospitals to get up and running and deliver value and return on investment in months.