US 11,654,070 B2
Relocation module and methods for surgical equipment
Scott D. Augustine, Deephaven, MN (US); Susan D. Augustine, Deephaven, MN (US); Garrett J. Augustine, Deephaven, MN (US); Brent M. Augustine, Savage, MN (US); Ryan S. Augustine, Minneapolis, MN (US); and Randall C. Arnold, Minnetonka, MN (US)
Assigned to Augustine Biomedical + Design, LLC, Eden Prairie, MN (US)
Filed by Augustine Biomedical + Design, LLC, Eden Prairie, MN (US)
Filed on Jul. 26, 2022, as Appl. No. 17/873,857.
Application 17/873,857 is a continuation of application No. 17/528,832, filed on Nov. 17, 2021, granted, now 11,432,982.
Application 17/528,832 is a continuation in part of application No. 17/376,469, filed on Jul. 15, 2021, granted, now 11,219,570.
Application 17/376,469 is a continuation in part of application No. 17/199,722, filed on Mar. 12, 2021, granted, now 11,173,089.
Application 17/199,722 is a continuation of application No. 17/092,681, filed on Nov. 9, 2020, granted, now 10,993,865.
Application 17/092,681 is a continuation of application No. 16/879,406, filed on May 20, 2020, granted, now 10,869,800.
Application 16/879,406 is a continuation in part of application No. 16/601,924, filed on Oct. 15, 2019, granted, now 10,702,436.
Application 16/601,924 is a continuation of application No. 16/593,033, filed on Oct. 4, 2019, granted, now 10,653,577.
Application 16/593,033 is a continuation of application No. 16/364,884, filed on Mar. 26, 2019, granted, now 10,507,153.
Application 16/364,884 is a continuation in part of application No. 15/935,524, filed on Mar. 26, 2018, granted, now 10,512,191.
Application 16/364,884 is a continuation in part of application No. 17/873,857.
Application 17/873,857 is a continuation in part of application No. 17/245,942, filed on Apr. 30, 2021, granted, now 11,426,318.
Application 17/245,942 is a continuation in part of application No. 17/167,681, filed on Feb. 4, 2021, granted, now 11,160,710.
Application 17/167,681 is a continuation in part of application No. 17/092,681, filed on Nov. 9, 2020, granted, now 10,993,865.
Application 17/092,681 is a continuation of application No. 16/879,406, filed on May 20, 2020, granted, now 10,869,800.
Claims priority of provisional application 62/782,901, filed on Dec. 20, 2018.
Prior Publication US 2022/0362085 A1, Nov. 17, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. A61G 13/10 (2006.01); A61B 50/13 (2016.01); A61B 50/15 (2016.01); A61B 90/50 (2016.01); A61M 16/06 (2006.01); A61M 16/18 (2006.01); G16H 20/40 (2018.01); G16H 10/60 (2018.01); G16H 30/20 (2018.01); B01D 46/00 (2022.01); A61B 46/10 (2016.01); A61M 16/01 (2006.01); G16H 20/17 (2018.01)
CPC A61G 13/108 (2013.01) [A61B 50/13 (2016.02); A61B 50/15 (2016.02); A61M 16/06 (2013.01); A61M 16/18 (2013.01); G16H 10/60 (2018.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); A61B 46/10 (2016.02); A61B 90/50 (2016.02); A61B 2050/155 (2016.02); A61M 16/01 (2013.01); B01D 46/0093 (2013.01); G16H 20/17 (2018.01)] 30 Claims
OG exemplary drawing
 
1. An automated data consolidation module including a module for housing electronic and electromechanical medical equipment and a portable digital camera, and a system to receive and record data produced by the electronic and electromechanical medical equipment and the portable digital camera, the automated data consolidation module comprising:
a housing configured to house electronic and electromechanical medical equipment;
a cowling that substantially confines the electronic and electromechanical medical equipment;
at least one portable digital camera; and
processing circuitry in wired or wireless electrical communication with the portable digital camera to receive digital data produced by the portable digital camera;
wherein the digital data is automatically delivered to the processing circuitry and software, and the processing circuitry and software is configured to interpret the digital data by:
performing at least one of machine learning (ML) and artificial intelligence (AI) analysis to identify specific visual elements of the image by matching the subject image to known images stored in an image library, wherein the identified specific visual elements of the image constitute dose events or response events and the processing circuitry is configured to add time stamps or other indicators of time so that unrelated data can be temporally correlated during subsequent “big data” or clinical decision support analysis, and
automatically save the information provided by the matched specific visual elements of the image or the image itself to an electronic record or database.