Garri Lynn Garrison, 65Gatlinburg, TN

2013016, Jun 27, 2013

Sep 15, 2011

13/820036

Catherine D. Lathem - Komoka, CA
Keith C. Mitchell - Atlanta GA, US
Cathy L. Plunkett - Kennesaw GA, US
Cheryl A. Pederson - Eden Prairie MN, US
Mary E. Kundus - Hudson WI, US
Mark A. Schroer - Burnsville MN, US
Barbara C. Zellerino - Newburgh IN, US
Garri L. Garrison - Atlanta GA, US
Monica L. Sanders - Portland ME, US
JaeLynn C. Williams - Sandy UT, US

3M INNOVATIVE PROPERTIES COMPANY - ST. PAUL MN

G06F 19/00
G06Q 50/22

705 2

Computer-implemented methods of processing medical data are described. The methods comprise selecting cases associated with a first parameter from medical data associated with a plurality of cases, determining a subset of cases associated with a medical facility-acquired condition, and determining another subset cases not associated with the medical facility-acquired condition. Estimated costs associated with those cases associated a medical facility-acquired condition are generated, along with expected costs for these same cases in the absence of the medical facility-acquired condition. Methods further allowing comparisons to data related to normative collections of medical facilities are also disclosed. Computerized systems for processing medical data and computer-readable storage media comprising instructions that when executed in a processor cause the processor to process medical data are also described.

2021000, Jan 7, 2021

Sep 18, 2020

17/025129

- SAINT PAUL MN, US
RICHARD R. FULLER - SCHNECKSVILLE PA, US
ELIZABETH C. MCCULLOUGH - SILVER SPRING MD, US
KEITH C. MITCHELL - ROSWELL GA, US
GARRI L. GARRISON - LEITCHFIELD KY, US

3M INNOVATIVE PROPERTIES COMPANY - SAINT PAUL MN

G16H 40/20
G06Q 50/22
G06F 17/17
G06Q 10/06

A health management system includes a processor, a searchable multi-dimensional data representation of the performance of an entire health care delivery system accessible by the processor, in which the performance of every healthcare provider, including downstream providers, that are delivering services is distilled down to a clinically credible measure of actual versus expected performance at analytic points across a comprehensive set of quality outcomes and resource utilization measures wherein the performance matrix has multiple dimensions, and a memory device coupled to the processor and having a program stored thereon for execution by the processor to perform operations. The operations include creating the multi-dimensional data representation to obtain performance measures of a selected healthcare provider and accessing the multi-dimensional data representation to obtain performance measures of the selected healthcare provider.

2019000, Jan 3, 2019

Dec 22, 2016

16/064146

- St. Paul MN, US
Richard L. FULLER - Schnecksville PA, US
Elizabeth C. McCULLOUGH - Silver Spring MD, US
Keith C. MITCHELL - Roswell GA, US
Garri L. GARRISON - Leitchfield KY, US

3M Innovative Properties Company - St. Paul MN

G16H 40/20
G06Q 10/06
G06F 17/17

A health management system includes a processor, a searchable multi-dimensional data representation of the performance of an entire health care delivery system accessible by the processor, in which the performance of every healthcare provider, including downstream providers, that are delivering services is distilled down to a clinically credible measure of actual versus expected performance at analytic points across a comprehensive set of quality outcomes and resource utilization measures wherein the performance matrix has multiple dimensions, and a memory device coupled to the processor and having a program stored thereon for execution by the processor to perform operations. The operations include creating the multi-dimensional data representation to obtain performance measures of a selected healthcare provider and accessing the multi-dimensional data representation to obtain performance measures of the selected healthcare provider.

2018012, May 3, 2018

Apr 29, 2016

15/570795

- St. Paul MN, US
Garri L. Garrison - Leitchfield KY, US
Khalod S. Kelantan Pelegrin - Park City UT, US
Jeremy M. Zasowski - Cambridge MA, US

G16H 10/60
G16H 50/30
G16H 50/20
G06F 17/30

In general, systems and techniques for managing and updating medical information are described. In one example, a computer-implemented method for managing medical information is described. The method includes receiving current diagnostic information that includes one or more current individual diagnoses for a patient, comparing the current diagnostic information to prior diagnostic information that includes one or more prior individual diagnoses for the patient, determining one or more possible errors in the current diagnostic information based on the comparison, and generating an alert associated with each possible error of the one or more possible errors.

2017003, Feb 9, 2017

Apr 21, 2015

15/303334

- St. Paul MN, US
Kelly S. Peterson - Salt Lake City UT, US
Garri L. Garrison - Leitchfield KY, US

G06F 19/00
G06F 17/30

This disclosure describes systems, devices, and techniques for identifying and analyzing copied and pasted passages of medical documents. In one example, a computer-implemented method includes receiving, by a computing device, a second medical document related to a patient encounter and determining, by the computing device, that a passage of the second medical document has been copied from a first medical document. The method may also include determining, by the computing device, a risk level for the passage, the risk level indicating a likelihood that the passage includes inaccurate information regarding the patient encounter, determining, by the computing device, that the risk level exceeds a risk threshold, and outputting, by the computing device, an indication of the passage for which the risk level exceeds the risk threshold.

2016035, Dec 1, 2016

Feb 4, 2015

15/116831

- Saint Paul MN, US
Steven M AUSTIN - Spring Branch TX, US
Garri L. GARRISON - Leitchfield KY, US
Jason M. MARK - Fruit Heights UT, US

G06F 19/00
G06F 17/27

Techniques described herein provide methods for analyzing quality of care, site of service guidelines, patient condition lists, coordination of care, and patient discharge summaries. In one example of these techniques, with respect to patient condition lists, the disclosure is directed to a method for analyzing medical documentation. One or more computing devices store a plurality of medical records for a single patient. The one or more computing devices analyze information contained in the plurality of medical records. The one or more computing devices identify a list of chronic conditions for the patient and a list of one-time medical conditions for the patient based on a number of instances the patient has sought medical attention for the given conditions. The one or more computing devices output the list of chronic conditions for the patient and the list of one-time medical conditions for the patient.

2016035, Dec 1, 2016

Feb 4, 2015

15/116834

- Saint Paul MN, US
Steven M Austin - Spring Branch TX, US
Garri L. Garrison - Leitchfield KY, US
Jason M. Mark - Fruit Heights UT, US

G06F 19/00
G06F 17/30

In one embodiment, the disclosure is directed to a method for analyzing medical documentation. One or more computing devices store a plurality of medical records and coded administrative data. The one or more computing devices compare information contained in the plurality of medical records with information contained in coded administrative data. The one or more computing devices identify one or more risks based on the comparison of the information contained in the plurality of medical records with the information contained in the coded administrative data. The one or more computing devices output information associated with the one or more risks in the medical documentation.

2016021, Jul 21, 2016

Aug 27, 2014

14/914664

- Saint Paul MN, US
Jason M Mark - Fruit Heights UT, US
Garri L Garrison - Leitchfield KY, US
Travis K Harper - Lehi UT, US

G06F 19/00
G06Q 50/22

This disclosure describes systems, devices, and techniques for classifying medical documents. In one example, a method comprises receiving, with a computer system, one or more medical documents, wherein the one or more medical documents comprise one or more document regions (e.g., a document section, portion, or page), parsing, with the computer system, each of the one or more document regions, wherein the parsing comprises determining a number of times one or more features appear in each document region, and determining, by the computer system and based on the parsing, a classification from a plurality of predetermined classifications for each of the one or more document regions