Abstracting information from patient medical records

US11488693B2 · kind B2 · utility

Assignee

• UPMC · US

Inventors

• Melissa Castine · Pittsburgh, US
• Girish Chavan · Pittsburgh, US
• Carly Cook · Pittsburgh, US
• Rebecca Jacobson · Pittsburgh, US
• Jody Madala · Pittsburgh, US
• Amy Malanga · Pittsburgh, US
• Eugene Tseytlin · Allentown, US
• Adam Yee · Pittsburgh, US

Key dates

• Filing date: Nov 1, 2018
• Grant date: Nov 1, 2022
• Expiry date: Nov 1, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H50/30
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Among other things, unstructured text items are processed to identify elements of the unstructured text items relevant to classification rules of quality metrics applicable to services provided by a healthcare provider with respect to diseases, conditions, or interventions of patients. The classification rules define classifications of patients based on diseases, conditions, or interventions of patients or on aspects of the services provided. Through a user interface, the unstructured text items, the identified elements, and user interface controls for classifying the patients with respect to the classification rules, based on the identified elements, are presented to the user.