Abstract: Housing-based socioeconomic status (“HOUSES”) index scores as an individual-level socioeconomic status (“SES”) measure are formulated and managed using a secure cloud-based interface that maintains data privacy for individuals. The cloud-based environment enables a scalable solution for generating and managing HOUSES index data by enabling access to publicly available real property data used when formulating a HOUSES index score. The cloud-based environment provides a reproducible, agile, and scalable algorithm deployment enabling the generation and management of de-identified HOUSES index data.

Abstract: A disease-specific ontology crafted by a consensus of expert clinicians may be used to semantically characterize/provide semantic meaning to dynamically changing patient electronic medical record (EMR) data in critical care settings. Hierarchical, directed node-edge-node graphs (concept maps or Vmaps) developed with an end-user friendly graphical user interface and ontology editor, can be used to represent structured clinical reasoning and serve as the first step in disease-specific ontology building. Disease domain Vmaps reflecting expert clinical reasoning associated with management of acute illnesses encountered in critical care settings (e.g. ICUs) that extend core clinical ontologies, developed and reviewed by experts, are in turn extended with existing medical ontologies and automatically translated to a domain ontology processing engine.

Abstract: A PCV generation process using deep learning networks and multi-task learning wherein what knowledge is already known can be used to learn new knowledge such as the addition of CPT and medication information to augment patient PCVs based on ICD codes and expressions of history in free text notes.

Abstract: A disease-specific ontology crafted by a consensus of expert clinicians may be used to semantically characterize/provide semantic meaning to dynamically changing patient electronic medical record (EMR) data in critical care settings. Hierarchical, directed node-edge-node graphs (concept maps or Vmaps) developed with an end-user friendly graphical user interface and ontology editor, can be used to represent structured clinical reasoning and serve as the first step in disease-specific ontology building. Disease domain Vmaps reflecting expert clinical reasoning associated with management of acute illnesses encountered in critical care settings (e.g. ICUs) that extend core clinical ontologies, developed and reviewed by experts, are in turn extended with existing medical ontologies and automatically translated to a domain ontology processing engine.