Outpatient monitoring systems and methods

• US 9,706,921 B2
• Filed: 07/09/2014
• Issued: 07/18/2017
• Est. Priority Date: 11/17/2008
• Status: Active Grant

• Current Assignee: Medicalgorithmics S.A.
• Original Assignee: Medicalgorithmics S.A.
• Inventors: Dziubinski, Marek
• Primary Examiner(s): Gilligan, Luke
• Application Number:
  US14/327,201
• Publication Number:
  US 20140324452A1
• Time in Patent Office: 1,105 Days
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/72 Signal processing specially adapted for physiological signals or for diagnostic purposes character recognition, recognising digital ink, document-oriented image-based pattern recognition G06V30/00; recognition or understanding of postal images G06V30/424
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

Described are computer-based methods and apparatuses, including computer program products, for outpatient monitoring. In some examples, the outpatient monitoring technology includes a system for remote monitoring and consultations of patients'"'"' state associated with automated interpretation of vital signs signals. In other examples, the outpatient monitoring technology includes a system for remote monitoring of patients'"'"' state associated with analysis of full-disclosure vital signs digital signals with reduced bit data or channel data. In some examples, the outpatient monitoring technology includes a system for remote monitoring of patients'"'"' state associated with ongoing automated analysis and transmission of full-disclosure vital signs digital signals and automatically generated signals'"'"' interpretation results and manually marked patient symptoms.

Claims

1. A method, executed by a remote computing station, for remote analysis and processing of full-disclosure data signals representative of patient vital signs collected by a vital signs sensor, comprising the steps of:

remotely initializing, by one or more processors of the remote computing station, a communication session with the vital signs sensor communicatively coupled to at least one portable monitor;

continuously collecting, by the one or more processors of the remote computing station, the full-disclosure data signals representative of the patient vital signs during the communications session while the vital signs sensor is acquiring the patient vital signs, wherein the collected full-disclosure data signals comprises a combination of bit-reduced and/or channel-reduced full-disclosure signals data and uncompressed/unreduced data signals fragments representative of the patient continuous vital signs, wherein at least one portion of the uncompressed/unreduced is selectively included in the full-disclosure data signals in response to a detected pathological/emergency event at the at least one portable monitor;

processing and analyzing, by the one or more processors of the remote computing station, the collected data signals of the patient vital signs to enable modification of the patient vital signs during the communication session; and

displaying, on a display of the remote monitoring station, the bit-reduced and/or channel-reduced full-disclosure signals data and uncompressed/unreduced data signals fragments representative of the patients'"'"' continuous vital signs in a manner that visually distinguishes between the bit-reduced and/or channel-reduced full-disclosure signals data and uncompressed/unreduced data signals fragments.