Abstract: A context sensitive methodology, a Structured Virtual Construct (SVC) system, data tagging techniques, and an apparatus are provided for performing Medical Code-based decision-making involving the matching of a given medical identified element against one or more of a set of known or reference medical identified elements from history or other data elements. A satisfactory decision is achieved as a function of both aggregated ranking (AR) and account adjudication (AA), where account adjudication refers to the full set of values garnered by the Medical Code accumulation process in the process of generating approval/denial/re-classification/of medical diagnosis and/or claim events.

Abstract: The digital contact tracing through virtual medical information portfolio and on-ramp to testing includes systems, devices, and computer-implemented methods for monitoring health of a user. The user receives a text message containing a QR code that directs the user to a patient survey. The user is categorized into one of a plurality of categories based on user data input into the patient survey. Subsequently, the user inputs one or more physiological parameters that allow remote monitoring of the patient. The one or more physiological parameters are compared against respective thresholds and change thresholds.

Abstract: A context sensitive methodology, a Structured Virtual Construct (SVC) system, data tagging techniques, and an apparatus are provided for performing Medical Code-based decision-making involving the matching of a given medical identified element against one or more of a set of known or reference medical identified elements from history or other data elements. A satisfactory decision is achieved as a function of both aggregated ranking (AR) and account adjudication (AA), where account adjudication refers to the full set of values garnered by the Medical Code accumulation process in the process of generating approval/denial/re-classification/of medical diagnosis and/or claim events.

Abstract: A context sensitive methodology, a Structured Virtual Construct (SVC) system, data tagging techniques, and an apparatus are provided for performing Medical Code-based decision-making involving the matching of a given medical identified element against one or more of a set of known or reference medical identified elements from history or other data elements. A satisfactory decision is achieved as a function of both aggregated ranking (AR) and account adjudication (AA), where account adjudication refers to the full set of values garnered by the Medical Code accumulation process in the process of generating approval/denial/re-classification/of medical diagnosis and/or claim events.

Abstract: A system and method configured to provide persistent evidence based multi-ontology context dependent decision support, eligibility assessment and feature scoring. Decisions are achieved via a probabilistic functional extension of both potentiality and plausibility towards nouns in all data forms. Plausibility refers to the full set of values garnered by the evidence accumulation process while potentiality is a mechanism to set the various match threshold values. The thresholds define acceptable confidence levels for decision-making and wherein both plausibility and potentiality are implemented through statistical applications which model and estimate the distribution of random vectors by estimating margins and copula separately from all data types.

Abstract: A system for performing FRIAR Code-based adjudication includes a FRIAR Code processor configured to match an extracted FRIAR identified element against a Knowledge Base set of reference FRIAR identified elements, a FRIAR Transaction Originator Code processor, a FRIAR Account Code processor, a FRIAR Code selection processor for defining a rule set to be applied to the extracted FRIAR identified element and the large indefinite quantity of reference FRIAR identified elements and configured to generate a total FRIAR Code identification function, a FRIAR Code threshold processor configured to generate a context-dependent threshold for an acceptable code decision, and a decision processor configured to compare the total FRIAR Code functions to the context-dependent threshold and determine whether to accumulate and aggregate further FRIAR Code aggregation, provide system alerts, render an automatic reclassification, or to generate an auto-accept/auto-deny decision-result.

Abstract: A system for performing FRIAR Code-based adjudication includes a FRIAR Code processor configured to match an extracted FRIAR identified element against a Knowledge Base set of reference FRIAR identified elements, a FRIAR Transaction Originator Code processor, a FRIAR Account Code processor, a FRIAR Code selection processor for defining a rule set to be applied to the extracted FRIAR identified element and the large indefinite quantity of reference FRIAR identified elements and configured to generate a total FRIAR Code identification function, a FRIAR Code threshold processor configured to generate a context-dependent threshold for an acceptable code decision, and a decision processor configured to compare the total FRIAR Code functions to the context-dependent threshold and determine whether to accumulate and aggregate further FRIAR Code aggregation, provide system alerts, render an automatic reclassification, or to generate an auto-accept/auto-deny decision-result.

Abstract: A context sensitive methodology, a Structured Virtual Construct (SVC) system, data tagging techniques, and an apparatus are provided for performing Medical Code-based decision-making involving the matching of a given medical identified element against one or more of a set of known or reference medical identified elements from history or other data elements. A satisfactory decision is achieved as a function of both aggregated ranking (AR) and account adjudication (AA), where account adjudication refers to the full set of values garnered by the Medical Code accumulation process in the process of generating approval/denial/re-classification/of medical diagnosis and/or claim events.