Patents by Inventor Margaret C. Kolm
Margaret C. Kolm has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11250956Abstract: Methods, systems, and computer-readable media are provided to detect similarities between two or more clinical documents. It is determined that a clinician is currently inputting data into a first clinical document that is associated with a patient. A selectable option is provided on a user interface into which the clinician is currently inputting the data. An indication is received that the selectable option has been selected by the clinician. An algorithm is applied to identify the second clinical document from a plurality of clinical documents. At least a portion of the inputted data in the first clinical document and at least a portion of data in the second clinical document are transformed to generate a new representation of the first clinical document that indicates the similarities that are potentially inaccurate or inappropriate between the first clinical document and the second clinical document.Type: GrantFiled: December 31, 2014Date of Patent: February 15, 2022Assignee: CERNER INNOVATION, INC.Inventors: Christopher S. Finn, Margaret C. Kolm, David J. O'Larte, Steven S. Crooks, Thomas C. Gifford, J D Tyler
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Patent number: 10741272Abstract: Methods, systems, and computer storage media are provided for converting a source in a first terminology to a target in a different terminology. A source in a first terminology may be converted to a target in a second terminology using cross maps that map sources to all possible matching targets, probability data derived from frequency data illustrating a frequency of selection for targets in relation to specific sources, lexical matching algorithms indicating targets with highest lexical matches for specific sources, or a combination thereof. Any one, or a combination, of the data above may be used to identify a probabilistically most relevant target in a desired terminology.Type: GrantFiled: October 23, 2014Date of Patent: August 11, 2020Assignee: Cerner Innovation, Inc.Inventors: Savitha Venkat, Thomas C. Gifford, Christopher S. Finn, Margaret C. Kolm, Chad A. Cole
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Patent number: 10007407Abstract: Methods, systems, and computer-readable media are provided to detect incremental changes in clinical documents associated with a patient. A user selection is received indicating that a user wants to compare two or more clinical documents that are associated with the patient or authored by the same clinician, enabling the user to become up-to-date on the patient's care. A first clinical document and a second clinical document are identified. For the first clinical document and the second clinical document, differences are algorithmically determined. The first clinical document is transformed into a new representation of the first clinical document. Further, the second clinical document is transformed into a new representation of the second clinical document. One or more of the new representations of the first and the second clinical documents are displayed, assisting the user to quickly find and understand the differences between the documents.Type: GrantFiled: December 31, 2014Date of Patent: June 26, 2018Assignee: Cerner Innovation, Inc.Inventors: Thomas C. Gifford, Chad A. Cole, J D Tyler, Savitha Venkat, Michael A. Ash, Tonja McCord, Anubha Garg, Steven S. Crooks, Christopher S. Finn, Margaret C. Kolm, David J. O'Larte, David P. McCallie, Jr.
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Patent number: 9921731Abstract: Methods, systems, and computer-readable media are provided to detect similarities in clinical documents that might be inaccurate or inappropriate. A first clinical document and a second clinical document that are to be compared are identified. This identification of the documents is based on times associated with the first and second clinical documents, an identity of clinicians who authored the first and second clinical documents, an identity of patients associated with the first and second clinical documents, a type of the first and second clinical documents, or contents of the first and second clinical documents. The first clinical document is compared to a portion of the second clinical document. A report is automatically generated, where the report indicates the similarities between the portion of the first clinical document and the portion of the second clinical document that are potentially inaccurate or inappropriate.Type: GrantFiled: December 31, 2014Date of Patent: March 20, 2018Assignee: Cerner Innovation, Inc.Inventors: Christopher S. Finn, Margaret C. Kolm, David J. O'Larte, Steven S. Crooks
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Publication number: 20160124613Abstract: Methods, systems, and computer-readable media are provided to detect similarities between two or more clinical documents. It is determined that a clinician is currently inputting data into a first clinical document that is associated with a patient. A selectable option is provided on a user interface into which the clinician is currently inputting the data. An indication is received that the selectable option has been selected by the clinician. An algorithm is applied to identify the second clinical document from a plurality of clinical documents. At least a portion of the inputted data in the first clinical document and at least a portion of data in the second clinical document are transformed to generate a new representation of the first clinical document that indicates the similarities that are potentially inaccurate or inappropriate between the first clinical document and the second clinical document.Type: ApplicationFiled: December 31, 2014Publication date: May 5, 2016Inventors: CHRISTOPHER S. FINN, MARGARET C. KOLM, DAVID J. O'LARTE, STEVEN S. CROOKS, THOMAS C. GIFFORD, JD TYLER
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Publication number: 20160125144Abstract: Methods, systems, and computer-readable media are provided to detect incremental changes in clinical documents associated with a patient. A user selection is received indicating that a user wants to compare two or more clinical documents that are associated with the patient or authored by the same clinician, enabling the user to become up-to-date on the patient's care. A first clinical document and a second clinical document are identified. For the first clinical document and the second clinical document, differences are algorithmically determined. The first clinical document is transformed into a new representation of the first clinical document. Further, the second clinical document is transformed into a new representation of the second clinical document. One or more of the new representations of the first and the second clinical documents are displayed, assisting the user to quickly find and understand the differences between the documents.Type: ApplicationFiled: December 31, 2014Publication date: May 5, 2016Inventors: THOMAS C. GIFFORD, CHAD A. COLE, JD TYLER, SAVITHA VENKAT, MICHAEL A. ASH, TONJA McCORD, ANUBHA GARG, STEVEN S. CROOKS, CHRISTOPHER S. FINN, MARGARET C. KOLM, DAVID J. O'LARTE, DAVID P. McCALLIE, JR.
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Publication number: 20160125169Abstract: Methods, systems, and computer-readable media are provided to detect similarities in clinical documents that might be inaccurate or inappropriate. A first clinical document and a second clinical document that are to be compared are identified. This identification of the documents is based on times associated with the first and second clinical documents, an identity of clinicians who authored the first and second clinical documents, an identity of patients associated with the first and second clinical documents, a type of the first and second clinical documents, or contents of the first and second clinical documents. The first clinical document is compared to a portion of the second clinical document. A report is automatically generated, where the report indicates the similarities between the portion of the first clinical document and the portion of the second clinical document that are potentially inaccurate or inappropriate.Type: ApplicationFiled: December 31, 2014Publication date: May 5, 2016Inventors: CHRISTOPHER S. FINN, MARGARET C. KOLM, DAVID J. O'LARTE, STEVEN S. CROOKS
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Publication number: 20160117445Abstract: Methods, systems, and computer storage media are provided for converting a source in a first terminology to a target in a different terminology. A source in a first terminology may be converted to a target in a second terminology using cross maps that map sources to all possible matching targets, probability data derived from frequency data illustrating a frequency of selection for targets in relation to specific sources, lexical matching algorithms indicating targets with highest lexical matches for specific sources, or a combination thereof. Any one, or a combination, of the data above may be used to identify a probabilistically most relevant target in a desired terminology.Type: ApplicationFiled: October 23, 2014Publication date: April 28, 2016Inventors: Savitha Venkat, Thomas C. Gifford, Christopher S. Finn, Margaret C. Kolm, Chad A. Cole