Patents Assigned to ARTIFICIAL MEDICAL INTELLIGENCE, INC.
  • Publication number: 20180361238
    Abstract: Systems and methods provide confirmation of accuracy of determining medical codes for medical records. The technology may include processor control instructions or steps for establishing a collection of medical documents as a test sample and for determining a convergence of assigned medical codes for the sample that have been assigned by a plurality of coders to establish a standard of one or more accepted medical codes for the sample. The technology may include instructions for applying the sample to a coding system to obtain a determined medical code for the sample; and for comparing the determined code to the accepted medical codes to rate the coding system's accuracy. In some embodiments, the determined medical codes may be obtained by a software coding algorithm that automatically assigns medical codes to medical records. Moreover, the comparing step may be performed by an algorithm that automatically calculates a rate of the coding system.
    Type: Application
    Filed: March 23, 2018
    Publication date: December 20, 2018
    Applicant: ARTIFICIAL MEDICAL INTELLIGENCE, INC.
    Inventor: Mark Elliott Familant
  • Publication number: 20170255752
    Abstract: Aspects of the disclosure relate to a computer implemented method for searching a medical coding database. The method may include receiving a particular look-up term associated with a particular medical classification code. The particular look-up term may contain one or more words. The method may include creating a set of indices derived from the particular look-up term. Each index in the set of indices may include a string containing at least three contiguous characters from the particular look-up term. The first character of the string may be the first character of one of the one or more words of the particular look-up term. The method may include associating each index in the set of indices to the particular medical classification code. The method may include storing the set of indices and the associated particular medical classification code into an indexing table of the medical coding database.
    Type: Application
    Filed: March 3, 2017
    Publication date: September 7, 2017
    Applicant: Artificial Medical Intelligence, Inc.
    Inventors: Andrew B. Covit, Stuart Covit, Mark Elliott Familant
  • Publication number: 20140180712
    Abstract: Systems and methods provide confirmation of accuracy of determining medical codes for medical records. The technology may include processor control instructions or steps for establishing a collection of medical documents as a test sample and for determining a convergence of assigned medical codes for the sample that have been assigned by a plurality of coders to establish a standard of one or more accepted medical codes for the sample. The technology may include instructions for applying the sample to a coding system to obtain a determined medical code for the sample; and for comparing the determined code to the accepted medical codes to rate the coding system's accuracy. In some embodiments, the determined medical codes may be obtained by a software coding algorithm that automatically assigns medical codes to medical records. Moreover, the comparing step may be performed by an algorithm that automatically calculates a rate of the coding system.
    Type: Application
    Filed: January 31, 2014
    Publication date: June 26, 2014
    Applicant: Artificial Medical Intelligence, Inc.
    Inventor: Mark Elliott Familant
  • Patent number: 8676605
    Abstract: Systems and methods provide confirmation of accuracy of determining medical codes for medical records. The technology may include processor control instructions or steps for establishing a collection of medical documents as a test sample and for determining a convergence of assigned medical codes for the sample that have been assigned by a plurality of coders to establish a standard of one or more accepted medical codes for the sample. The technology may include instructions for applying the sample to a coding system to obtain a determined medical code for the sample; and for comparing the determined code to the accepted medical codes to rate the coding system's accuracy. In some embodiments, the determining a convergence of determined medical codes may be obtained by a software coding algorithm that automatically assigns medical codes to medical records. Moreover, the comparing step may be performed by an algorithm that automatically calculates a rate of the coding system.
    Type: Grant
    Filed: December 20, 2007
    Date of Patent: March 18, 2014
    Assignee: Artificial Medical Intelligence, Inc.
    Inventor: Mark Elliott Familant
  • Publication number: 20100036680
    Abstract: Systems and methods provide confirmation of accuracy of determining medical codes for medical records. The technology may include processor control instructions or steps for establishing a collection of medical documents as a test sample and for determining a convergence of assigned medical codes for the sample that have been assigned by a plurality of coders to establish a standard of one or more accepted medical codes for the sample. The technology may include instructions for applying the sample to a coding system to obtain a determined medical code for the sample; and for comparing the determined code to the accepted medical codes to rate the coding system's accuracy. In some embodiments, the determining a convergence of determined medical codes may be obtained by a software coding algorithm that automatically assigns medical codes to medical records. Moreover, the comparing step may be performed by an algorithm that automatically calculates a rate of the coding system.
    Type: Application
    Filed: December 20, 2007
    Publication date: February 11, 2010
    Applicant: ARTIFICIAL MEDICAL INTELLIGENCE, INC.
    Inventor: Mark Elliott Familant
  • Publication number: 20050240439
    Abstract: A system and method for automatic assignment of medical codes to unformatted data is, for example, a computer software module or engine. The engine automatically assigns medical codes such as ICD codes (ICD9 and ICD10 as well as other versions) to unformatted or uncoded medical documents (e.g. medical notes, discharge summaries, etc.). The system reads a document and then scans (assesses) it for diagnoses associated with the medical codes. When diagnosis is identified, the system can also examine the language context in which the diagnosis appears. Using rules derived from syntactic and semantic usage, the system decides whether to apply an identified ICD code to the document being processed or not.
    Type: Application
    Filed: April 15, 2005
    Publication date: October 27, 2005
    Applicant: Artificial Medical Intelligence, Inc,
    Inventors: Andrew Covit, Mark Familant, Stuart Covit