Apixio uses machine learning to analyze patient data, ultimately enabling better decision making for quality healthcare. The platform uses a secure process to extract and generate insights from documents, images, billing claims, and other data sources from Apixio’s customers. This data is transmitted to the Apixio platform, then tracked through each stage of data acquisition, processing, analysis, and insight generation. Data Acquisition By using a secure extraction process to capture free-text documents, scanned charts, and facsimiles, in addition to clinical structured data, claims and other administrative data, and more. These data are then handled in the Data Loader in preparation for data and analytics pipelines. Data Processing Apixo’s data pipelines process ingested information, run validation checks, and assemble that data into Patient Object Models in preparation for downstream analytics. Here, Apixio’s optical character recognition pipeline translates the data in image files into machine-readable text. Data Analysis Signals are generated from analysis of APOMs, which are used by proprietary data algorithms and predictive models to generate insights. Processed data stored in APOMs include patient diseases, medications, procedures, encounters, biometric values, other data, and derived information from prior analyses. Phenotype Assembly Information from AI algorithms are sorted and analyzed for discrepancies and then a robust patient phenotype is created. This phenotype is a rich, longitudinal picture of individual healthcare which can be used by the provider to deliver quality care to patients. Application Use Apixio’s solutions use data from structured and unstructured clinical documentation to automate clinical, administrative, or operational activities.
The Apixio platform is the foundational technology suite that allows us to surface targeted information from healthcare documents to inform operations and care delivery. Apixio’s machine learning and deep learning algorithms analyze unstructured data embedded in electronic health records, scanned notes, and facsimiles to produce high-quality predictions for measurement, care and discovery. For health plans, the Apixio platform provides essential data and insights for health plans to manage value-based care. Apixio’s robust data interoperability capability and AI analytics create accurate risk and quality measurement and actionable care decision guidance, in addition to helping automate key administrative and operations tasks. The platform’s patented AI technology and EHR-integrated tools relieve the administrative burden many health plans experience. For providers, Apixio provides risk-bearing organizations with a clear understanding of health and financial risks by delivering insights and predictions from analyzed medical records and unstructured data. Apixio’s suite of solutions give physicians and executives informed data related to care, payment, and operations and reduces the burden of extracting and analyzing EHR data. In 2021, Apixio was ranked #1 in the market for Risk Adjustment & Analytics, earning Apixio the distinction of being named 2021 Best in KLAS Software & Services by KLAS Research. Apixio received an overall score of 94.1 – the highest of any vendor solution in the Risk Adjustment and Analytics category. It also ranked A+ in three categories, including Culture, Loyalty and Value. In the report, customers said Apixio's solutions consistently exceed their expectations.
The Apixio suite offers the following solutions to both health plans and provider groups. Care View - Provides an easy-to-navigate summary of an individual's healthcare with valuable insights into risk, quality, outcomes, and clinical care. Care Analytics - Provides targeted AI-generated condition predictions that help providers navigate their annual wellness visits or other patient encounters. Quality Identifier - Uses proprietary AI algorithms to locate relevant clinical facts in medical charts. InfoStream - Provides a comprehensive healthcare data acquisition and integration platform that ingests clinical and administrative data securely from various source systems to assemble patient clinical profiles (phenotypes) and power AI applications. HCC Auditor - Ensures that reported risk adjustment diagnoses have the required supporting evidence in linked clinical encounters. HCC Identifier - Creates an accurate risk score for payment adjustment and care management.