Patents by Inventor Glenn Fung
Glenn Fung 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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Publication number: 20200294154Abstract: In some embodiments, apparatuses and methods are provided herein useful for predicting the time and geographic area of one or more weather events. More specifically, systems, apparatuses and methods are provided herein useful to providing accurate temporal prediction of the volume and location of expected insurance claims resulting from one or more weather events. In some embodiments, these teachings may be employed to predict outcomes such as a number of insurance claims or a monetary value of claim losses associated with a weather event. By one approach, in response to such prediction, these teachings may assist with the generation of responses in preparation for or in response to predicted weather events and insurance claims. For example, in some embodiments, the systems, apparatuses, and methods provided herein may be employed to mobilize resources, send notifications, and generate responses in preparation for or in response to one or more predicted insurance claims.Type: ApplicationFiled: March 16, 2020Publication date: September 17, 2020Inventors: Ben Zimmerman, Glenn Fung, Michael Beles, Vivekanand Praturi, John Clark, Dan Dickinson
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Patent number: 10565315Abstract: Mapping of semantics in healthcare may involve accessing first transaction data in a first database, the first transaction data corresponding to a collection of a first number of fields defined for a condition using a first semantic system to store information and calculating a first distribution of information in the first transaction data. Mapping may also involve accessing second transaction data in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information, and calculating a second distribution of information in the second transaction data. The distributions may then be compared and a map relating the semantic systems may be generated and used to communicate between the first and second semantic systems.Type: GrantFiled: May 10, 2019Date of Patent: February 18, 2020Assignee: CERNER INNOVATION, INC.Inventors: Faisal Farooq, Farbod Rahmanian, Joseph Marcus Overhage, Glenn Fung, Shipeng Yu, Bharat R. Rao, Balaji Krishnapuram, Jan DeHaan
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Publication number: 20190318829Abstract: Adaptive medical data collection for medical entities may involve triggering an analysis of electronic records in response to information input into an Electronic Medical Record (EMR) of a patient. Determining a potential condition for the patient based on the analysis. Identifying additional information indicated as relevant to the potential condition of the patient, and generating a request for the identified additional information.Type: ApplicationFiled: June 3, 2019Publication date: October 17, 2019Inventors: Glenn Fung, Balaji Krishnapuram, Faisal Farooq, Shipeng Yu, Joseph Marcus Overhage, John Haley, Jan DeHaan, Vikram Anand
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Patent number: 10424403Abstract: Adaptive medical data collection for medical entities may involve managing content by receiving data indicating a context, identifying at least one application or knowledge base associated with the context, designating the identified application or knowledge base as active, and accessing the active application or knowledge base to provide information at an interface point for a medical professionals and a patient.Type: GrantFiled: January 28, 2014Date of Patent: September 24, 2019Assignee: Siemens AktiengesellschaftInventors: Glenn Fung, Joseph Marcus Overhage, Jan DeHaan, Faisal Farooq, Balaji Krishnapuram, John D Haley, Sebastian Philipp Brandt, Luigi Iannone, Nicholas Drummond, Ignazio Palmisano
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Patent number: 10403403Abstract: Adaptive medical data collection for medical entities may involve triggering an analysis of electronic records in response to information input into an Electronic Medical Record (EMR) of a patient. Determining a potential condition for the patient based on the analysis. Identifying additional information indicated as relevant to the potential condition of the patient, and generating a request for the identified additional information.Type: GrantFiled: September 27, 2013Date of Patent: September 3, 2019Assignee: Cerner Innovation, Inc.Inventors: Glenn Fung, Balaji Krishnapuram, Faisal Farooq, Shipeng Yu, Joseph Marcus Overhage, John Haley, Jan DeHaan, Vikram Anand
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Patent number: 10403391Abstract: Automatic mapping of semantics in healthcare is provided. Data sets have different semantics (e.g., Gender designated with M and F in one system and Sex designated with 1 or 2 in another system). For semantic interoperability, the semantic links between the semantic systems of different healthcare entities are created (e.g., Gender=Sex and/or 1=F and 2=M) by a processor from statistics of the data itself. The distribution of variables, values, or variables and values, with or without other information and/or logic, is used to create a map from one semantic system to another. Similar distributions of other variable and/or values are likely to be for variables and/or values with the same meaning.Type: GrantFiled: September 26, 2013Date of Patent: September 3, 2019Assignee: Cerner Health Services, Inc.Inventors: Faisal Farooq, Joseph M. Overhage, Glenn Fung, Shipeng Yu, R. Bharat Rao, Balaji Krishnapuram, Jan DeHaan
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Publication number: 20190266243Abstract: Mapping of semantics in healthcare may involve accessing first transaction data in a first database, the first transaction data corresponding to a collection of a first number of fields defined for a condition using a first semantic system to store information and calculating a first distribution of information in the first transaction data. Mapping may also involve accessing second transaction data in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information, and calculating a second distribution of information in the second transaction data. The distributions may then be compared and a map relating the semantic systems may be generated and used to communicate between the first and second semantic systems.Type: ApplicationFiled: May 10, 2019Publication date: August 29, 2019Inventors: Faisal Farooq, Farbod Rahmanian, Joseph Marcus Overhage, Glenn Fung, Shipeng Yu, Bharat R. Rao, Balaji Krishnapuram, Jan DeHaan
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Patent number: 10318635Abstract: Mapping of semantics in healthcare may involve accessing first transaction data of a first healthcare entity in a first database, the first transaction data corresponding to a collection of a first number of fields defined for a condition using a first semantic system to store information and calculating a first distribution of information in the first transaction data. Mapping may also involve accessing second transaction data of a second healthcare entity in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information, the second number of fields larger than the first number of fields and calculating a second distribution of information in the second transaction data. The distributions may then be compared and a map relating the semantic systems may be generated.Type: GrantFiled: December 18, 2014Date of Patent: June 11, 2019Assignee: CERNER INNOVATION, INC.Inventors: Faisal Farooq, Farbod Rahmanian, Joseph Marcus Overhage, Glenn Fung, Shipeng Yu, Bharat R. Rao, Balaji Krishnapuram, Jan DeHaan
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Publication number: 20160110510Abstract: Workflows for medical entities are determined and evaluated by determining a plurality of medical tasks based on an analysis of a plurality of electronic medical records of a medical entity. A workflow of the medical entity is determined based on a sequence of medical tasks, the sequence determined based on the analysis of the plurality of electronic medical records, and an evaluation of the workflow is performed based on a predefined criterion.Type: ApplicationFiled: December 28, 2015Publication date: April 21, 2016Inventors: Vikram Anand, Balaji Krishnapuram, Glenn Fung, Shipeng Yu, Faisal Farooq, Jonathan D. Emanuele
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Publication number: 20150106125Abstract: Mapping of semantics in healthcare may involve accessing first transaction data of a first healthcare entity in a first database, the first transaction data corresponding to a collection of a first number of fields defined for a condition using a first semantic system to store information and calculating a first distribution of information in the first transaction data. Mapping may also involve accessing second transaction data of a second healthcare entity in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information, the second number of fields larger than the first number of fields and calculating a second distribution of information in the second transaction data. The distributions may then be compared and a map relating the semantic systems may be generated.Type: ApplicationFiled: December 18, 2014Publication date: April 16, 2015Inventors: Faisal Farooq, Farbod Rahmanian, Marc Overhage, Glenn Fung, Shipeng Yu, Bharat R. Rao, Balaji Krishnapuram, Jan DeHaan
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Patent number: 8812240Abstract: Functional imaging information is used to determine a probability of residual disease given a treatment. The functional imaging information shows different characteristic levels for different regions of the tumor. The probability is output for planning use and/or used to automatically determine dose by region. Using the probability, the dose may be distributed by region so that some regions receive a greater dose than other regions. This distribution by region of dose more likely treats the tumor with a same dose, allows a lesser dose to sufficient treat the tumor, and/or allows a greater dose with a lesser or no increase in risk to normal tissue. The dose plan may account for personalized tumors as each patient may have distinct tumors. Probability of dose application accuracy may also be used, so that a combined treatment probability allows efficient dose planning.Type: GrantFiled: March 5, 2009Date of Patent: August 19, 2014Assignee: Siemens Medical Solutions USA, Inc.Inventors: Shipeng Yu, Glenn Fung, Steven Florian Petit, Hugo J. W. L. Aerts, Claudia Offermann, Michel Oellers, Philippe Lambin, Dirk de Ruysscher, Andreas Lubbertus Aloysius Johannes Dekker, Sriram Krishnan
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Publication number: 20140214451Abstract: Adaptive medical data collection for medical entities may involve managing content by receiving data indicating a context, identifying at least one application or knowledge base associated with the context, designating the identified application or knowledge base as active, and accessing the active application or knowledge base to provide information at an interface point for a medical professionals and a patient.Type: ApplicationFiled: January 28, 2014Publication date: July 31, 2014Applicant: Siemens Medical Solutions USA, Inc.Inventors: Glenn Fung, Marc Overhage, Jan DeHaan, Faisal Farooq, Balaji Krishnapuram, John D. Haley, Sebastian Philipp Brandt, Luigi Iannone, Nicholas Drummond, Ignazio Palmisano
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Patent number: 8751495Abstract: A method, including receiving a data source selection from a user or software application, the data source including medical information of a plurality of patients, receiving, from the user or software application, a data pattern that is related to a concept to be explored in the data source, querying the data source to find information that approximately matches the data pattern; and receiving the information from the data source, wherein the information includes unstructured data, assigning a classification to individual parts of the information based on the part's relationship to the data pattern, and outputting the classified information to the user or software application.Type: GrantFiled: September 28, 2010Date of Patent: June 10, 2014Assignee: Siemens Medical Solutions USA, Inc.Inventors: Stanley Chung, Faisal Farooq, Glenn Fung, Balaji Krishnapuram, R. Bharat Rao, Romer E. Rosales, John Weis, Shipeng Yu
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Publication number: 20140095205Abstract: Automatic mapping of semantics in healthcare is provided. Data sets have different semantics (e.g., Gender designated with M and F in one system and Sex designated with 1 or 2 in another system). For semantic interoperability, the semantic links between the semantic systems of different healthcare entities are created (e.g., Gender=Sex and/or 1=F and 2=M) by a processor from statistics of the data itself. The distribution of variables, values, or variables and values, with or without other information and/or logic, is used to create a map from one semantic system to another. Similar distributions of other variable and/or values are likely to be for variables and/or values with the same meaning.Type: ApplicationFiled: September 26, 2013Publication date: April 3, 2014Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.Inventors: Faisal Farooq, Marc Overhage, Glenn Fung, Shipeng Yu, Bharat R. Rao, Balaji Krishnapuram, Jan DeHaan
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Publication number: 20140095203Abstract: Workflows for medical entities are determined and evaluated by determining a plurality of medical tasks based on an analysis of a plurality of electronic medical records of a medical entity. A workflow of the medical entity is determined based on a sequence of medical tasks, the sequence determined based on the analysis of the plurality of electronic medical records, and an evaluation of the workflow is performed based on a predefined criterion.Type: ApplicationFiled: September 25, 2013Publication date: April 3, 2014Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.Inventors: Vikram Anand, Balaji Krishnapuram, Glenn Fung, Shipeng Yu, Faisal Farooq, Jonathan D. Emanuele
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Publication number: 20140095204Abstract: Inclusion of a patient in a medical category is determined by triggering an analysis of an electronic medical record of the patient in response to an input of data into the electronic medical record. Identifying characteristics that indicate inclusion in the medical category with the analysis, and determining a probability the patient belongs to the medical category based on the identified characteristics.Type: ApplicationFiled: September 26, 2013Publication date: April 3, 2014Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.Inventors: Glenn Fung, Balaji Krishnapuram, Faisal Farooq, Shipeng Yu, Bharat R. Rao, Vikram Anand
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Publication number: 20140095201Abstract: An adverse event may be prevented by predicting the probability of a given patient to have or undergo the adverse event. The ability to predict the probability of the adverse event may be enhanced when a model is derived from public health data to categorize and propose values for medical record fields. The probability alone may prevent the adverse event by educating the patient or medical professional. The probability may be predicted at any time, such as upon entry of information for the patient, periodic analysis, or at the time of admission. The probability may be used to generate a workflow action item to reduce the probability, to warn, to output appropriate instructions, and/or assist in avoiding adverse event. The probability may be specific to a hospital, physician group, or other medical entity, allowing prevention to focus on past adverse event causes for the given entity.Type: ApplicationFiled: September 20, 2013Publication date: April 3, 2014Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.Inventors: Faisal Farooq, Balaji Krishnapuram, Glenn Fung, Shipeng Yu, Karen Nielsen
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Publication number: 20140095206Abstract: Adaptive medical data collection for medical entities may involve triggering an analysis of electronic records in response to information input into an Electronic Medical Record (EMR) of a patient. Determining a potential condition for the patient based on the analysis. Identifying additional information indicated as relevant to the potential condition of the patient, and generating a request for the identified additional information.Type: ApplicationFiled: September 27, 2013Publication date: April 3, 2014Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.Inventors: Glenn Fung, Balaji Krishnapuram, Faisal Farooq, Shipeng Yu, Mark Overhange, John Haley, Jan DeHaan, Vikram Anand
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Publication number: 20140088989Abstract: A predictive model of medical knowledge is trained from patient data of multiple different medical centers. The predictive model is machine learnt from routine patient data from multiple medical centers. Distributed learning avoids transfer of the patient data from any of the medical centers. Each medical center trains the predictive model from the local patient data. The learned statistics, and not patient data, are transmitted to a central server. The central server reconciles the statistics and proposes new statistics to each of the local medical centers. In an iterative approach, the predictive model is developed without transfer of patient data but with statistics responsive to patient data available from multiple medical centers. To assure comfort with the process, the transmitted statistics may be in a human readable format.Type: ApplicationFiled: September 16, 2013Publication date: March 27, 2014Inventors: Balaji Krishnapuram, Bharat R. Rao, Glenn Fung, Vikram Anand, Faisal Farooq, Wolfgang Wiessler, Shipeng Yu
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Patent number: 8250013Abstract: A computer-implemented method for privacy-preserving data mining to determine cancer survival rates includes providing a random matrix B agreed to by a plurality of entities, wherein each entity i possesses a data matrix Ai of cancer survival data that is not publicly available, providing a class matrix Di for each of the data matrices Ai, providing a kernel K(Ai, B) by each of said plurality of entities to allow public computation of a full kernel, and computing a binary classifier that incorporates said public full kernel, wherein said classifier is adapted to classify a new data vector according to a sign of said classifier.Type: GrantFiled: January 14, 2009Date of Patent: August 21, 2012Assignee: Siemens Medical Solutions USA, Inc.Inventors: Glenn Fung, R. Bharat Rao, Sriram Krishnan, Shipeng Yu, Cary Dehing-Oberije, Philippe Lambin, Dirk de Ruysscher