Researchers Submit Patent Application, “Multi-Level Surgical Data Analysis System”, for Approval (USPTO 20230028059): Patent Application

2023 FEB 10 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- From Washington, D.C., NewsRx journalists report that a patent application by the inventors Harris, Jason L. (Lebanon, OH, US); Jogan, Matjaz (Philadelphia, PA, US); Shelton, IV, Frederick E. (Hillsboro, OH, US), filed on July 23, 2021, was made available online on January 26, 2023.

No assignee for this patent application has been made.

News editors obtained the following quote from the background information supplied by the inventors: “Various systems may operate at medical facilities (e.g., hospitals). The systems may exchange various types of data with each other. Such data may be protected by privacy rules mandated by authorities. Such data may be analyzed to generate various types of analytics. For example, the systems may exchange data associated with surgical procedures with each other. The data associated with surgical procedures may be protected by health insurance portability and accountability act (HIPAA) rules. The data associated with surgical procedures may be analyzed to generate analytics.”

As a supplement to the background information on this patent application, NewsRx correspondents also obtained the inventors’ summary information for this patent application: “Systems, methods, and instrumentalities are described herein for surgical data analysis. A computing system may obtain, from surgical hub(s) and/or other system(s), collections of unredacted data associated with different surgical procedures. The computing system, the surgical hub(s), and other system(s) may be located on a local data network. The local data network may be within a boundary protected by health insurance portability and accountability act (HIPAA) data rules.

“The computing system may train machine learning model(s) based on the unredacted data. The computing system may generate information that optimizes the clinical outcome and cost effectiveness of future surgical procedure(s) based on the machine learning model(s). The computing system may send generated information to the surgical hub(s) and/or other system(s). The computing system may be in communication with a remote cloud computing system. The computing system may send the generated information to the remote cloud computing system.”

The claims supplied by the inventors are:

“1. A computing system, the computing system comprising a processor configured to: receive, from at least one of a surgical hub or a data system on a local data network, a first collection of unredacted data associated with a first surgical procedure, wherein the first collection of unredacted data includes first patient personal data, first patient clinical data, and first other patient data; receive, from the at least one of a surgical hub or a data system on the local data network, a second collection of respective unredacted data associated with a second surgical procedure; train a machine learning (ML) model for optimizing clinical outcome and cost effectiveness using the first collection of unredacted data and the second collection of respective unredacted data; generate first information that optimizes the clinical outcome and cost effectiveness of a third surgical procedure using the ML model; and send the first information to a surgical hub from the at least one of a surgical hub or a data system.

“2. The computing system of claim 1, wherein the processor is further configured to: receive, from the surgical hub from the at least one of a surgical hub or a data system, a request for the first information that optimizes the clinical outcome and cost effectiveness of the third surgical procedure, wherein in response the processor is further configured to send the first information to the surgical hub.

“3. The computing system of claim 1, wherein the computing system is coupled with a cloud computing system and the processor is further configured to: redact the first collection of unredacted data; and send the redacted first collection of unredacted data to the cloud computing system.

“4. The computing system of claim 1, wherein the computing system is coupled with a cloud computing system and the processor further is configured to send to the cloud computing system the first information that optimizes the clinical outcome and cost effectiveness of the third surgical procedure.

“5. The computing system of claim 1, wherein the first surgical procedure, the second surgical procedure, and the third surgical procedure are a same type of surgical procedure, wherein the first surgical procedure and the second surgical procedure are past surgical procedures, and wherein the third surgical procedure is a future surgical procedure.

“6. The computing system of claim 1, wherein the first information that optimizes the clinical outcome and cost effectiveness of the third surgical procedure includes one or more of aspects of a surgical procedure plan associated with the third surgical procedure, such as a surgical choice, a surgical instrument selection, or a post-surgery care choice.

“7. The computing system of claim 6, wherein the first information that optimizes the clinical outcome and cost effectiveness of the third surgical procedure further includes an operational parameter adjustment for a surgical instrument associated with the surgical instrument selection.

“8. The computing system of claim 1, wherein the computing system is located on the local data network, and where the local data network is within a boundary protected by health insurance portability and accountability act (HIPAA) data rules.

“9. The computing system of claim 1, wherein each of the first patient personal data, the first patient clinical data, and the first other patient data includes a patient identifier.

“10. The computing system of claim 1, wherein the first patient personal data includes one or more of demographics information, such as age, gender, place of residence, occupation, or family status.

“11. The computing system of claim 1, wherein the first patient clinical data includes one or more of pre-surgery data, in-surgery data, and post-surgery data.

“12. The computing system of claim 1, wherein the first other patient data includes one or more of billing data associated with the first surgical procedure, payment data associated with the first surgical procedure, or reimbursement data associated with the first surgical procedure.

“13. The computing system of claim 1, wherein second information that optimizes the clinical outcome and cost effectiveness of the third surgical procedure is received from a cloud computing system that is coupled with the computing system, and wherein the ML model is a part of the second information.

“14. A computer-implemented method, the method comprising: receiving, from at least one of a surgical hub or a data system on a local data network, a first collection of unredacted data associated with a first surgical procedure, wherein the first collection of unredacted data includes first patient personal data, first patient clinical data, and first other patient data; receiving, from the at least one of a surgical hub or a data system on the local data network, a second collection of respective unredacted data associated with a second surgical procedure; training a machine learning (ML) model for optimizing clinical outcome and cost effectiveness using the first collection of unredacted data and the second collection of respective unredacted data; generating first information that optimizes the clinical outcome and cost effectiveness of a third surgical procedure using the ML model; and sending the first information to a surgical hub from the at least one of a surgical hub or a data system.

“15. The computer-implemented method of claim 14, further comprising: receiving, from the surgical hub from the at least one of a surgical hub or a data system, a request for the first information that optimizes the clinical outcome and cost effectiveness of the third surgical procedure; and in response, sending the first information to the surgical hub.

“16. The computer-implemented method of claim 14, further comprising: redacting the first collection of unredacted data; and send the redacted first collection of unredacted data to a cloud computing system.

“17. The computer-implemented method of claim 14, further comprising: sending to a cloud computing system the first information that optimizes the clinical outcome and cost effectiveness of the third surgical procedure.

“18. The computer-implemented method of claim 14, wherein the first surgical procedure, the second surgical procedure, and the third surgical procedure are a same type of surgical procedure, wherein the first surgical procedure and the second surgical procedure are past surgical procedures, and wherein the third surgical procedure is a future surgical procedure.

“19. The computer-implemented method of claim 14, wherein the first information that optimizes the clinical outcome and cost effectiveness of the third surgical procedure includes one or more of aspects of a surgical procedure plan associated with the third surgical procedure, such as a surgical choice, a surgical instrument selection, or a post-surgery care choice.

“20. The computer-implemented method of claim 14, where the local data network is within a boundary protected by health insurance portability and accountability act (HIPAA) data rules.”

For additional information on this patent application, see: Harris, Jason L.; Jogan, Matjaz; Shelton, IV, Frederick E. Multi-Level Surgical Data Analysis System. U.S. Patent Application Number 20230028059, filed July 23, 2021 and posted January 26, 2023. Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(20230028059)&db=US-PGPUB&type=ids

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