# US 2017/0286604 A1 · Computer System and Information Processing Method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2017/0286604 A1 - Document ID: US20170286604A1 - Status: Published application - Kind: A1 - Application number: 15/510,375 - Filed: 2015-03-27 - Published: 2017-10-05 - Earliest claimed: 2015-03-27 - Assignees: Hitachi, Ltd. - Applicants: Hitachi, Ltd. - Inventors: Kunihiko KIDO; Hiroko OTAKI - Web page: https://patentgrep.com/patent/US20170286604A1 ## CPC - G16H 15/00: ICT specially adapted for medical reports, e.g. generation or transmission thereof - G16H 40/20: for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms - G16H 40/63: for local operation - G16H 70/60: relating to pathologies - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract A processor is configured to; acquire clinical information containing cases each indicating a disease of a patient and a medical care event performed on the patient; acquire literature information containing literature indicating a name of the disease and a word indicating the medical care event; calculate a frequency of one case indicating a combination of a plurality of diseases based on the clinical information; analyze the literature information using each of the name of the disease and the word indicating the medical care event; acquire a criterion for determining a disease for which the medical care event has been performed; acquire first relevance information indicating whether the medical care event has been performed for the disease based on the analysis result, the calculated frequency and the acquired criterion; and generate medical information indicating a relationship between the medical care event and the disease based on the first relevance information. ## Claims ### Claim 1 A computer system, comprising: a processor; and a memory, wherein the processor is configured to: acquire clinical information containing a plurality of cases, each of the plurality of cases indicating a disease of a patient and a medical care event performed on the patient; acquire literature information containing literature for indicating a name of the disease and a word indicating the medical care event; calculate a frequency of one case indicating a combination of a plurality of diseases based on the clinical information, to store the calculated frequency into the memory; analyze the literature information using each of the name of the disease and the word indicating the medical care event, to store an analysis result into the memory; acquire a criterion for determining a disease for which the medical care event has been performed; acquire first relevance information for indicating whether the medical care event has been performed for the disease based on the analysis result, the calculated frequency, and the acquired criterion, to store the first relevance information into the memory; and generate medical information for indicating a relationship between the medical care event and the disease based on the first relevance information. ### Claim 2 (depends on 1) The computer system according to claim 1, wherein the processor is configured to calculate the frequency by dividing a number of cases indicating both of a first disease and a second disease by a number of cases indicating at least the first disease. ### Claim 3 (depends on 1) The computer system according to claim 1, wherein the clinical information comprises a plurality of cases indicating medical care events that have been performed in a plurality of different periods elapsed since a predetermined start day, wherein the processor is configured to: calculate a plurality of the frequencies based on cases in the plurality of different periods elapsed; calculate a temporal change amount in frequency based on the plurality of the calculated frequencies; generate a feature vector containing a component for indicating the analysis result and a component for indicating the calculated temporal change amount; and acquire the first relevance information based on the generated feature vector and the acquired criterion. ### Claim 4 (depends on 3) The computer system according to claim 3, wherein the processor is configured to: calculate a first frequency of a case, which indicates a medical care event that has been performed within a period from the predetermined start day until a first day has passed, indicating a combination of the plurality of diseases; calculate a second frequency of a case, which indicates a medical care event that has been performed within a period from the predetermined start day until a second day later than the first day has passed, indicating the combination of the plurality of diseases; and calculate the temporal change amount based on a difference between the first frequency and the second frequency. ### Claim 5 (depends on 1) The computer system according to claim 1, wherein literature contained in the literature information comprises a plurality of sentences, and wherein the processor is configured to: identify a position of each of the name of the disease and the word indicating the medical care event in the plurality of sentences by analyzing the literature information; and generate as the analysis result information for indicating a role of each of the name of the disease and the word indicating the medical care event in the plurality of sentences based on the identified position. ### Claim 6 (depends on 1) The computer system according to claim 1, wherein the processor is configured to: select a disease and a medical care event from the clinical information; acquire second relevance information for indicating whether the selected medical care event is performed for the selected disease frequently by identifying a number of cases contained in the clinical information, a number of cases indicating the selected disease, and a number of cases indicating the selected medical care event; and generate the medical information based on the first relevance information and the second relevance information. ### Claim 7 (depends on 1) The computer system according to claim 1, wherein the processor is configured to: acquire third relevance information for indicating a frequency of the name of the disease and the word indicating the medical care event co-occurring in the literature information; and generate the medical information based on the third relevance information and the first relevance information. ### Claim 8 (depends on 7) The computer system according to claim 7, wherein the processor is configured to: generate data for displaying the third relevance information and the generated medical information; and output the generated data. ### Claim 9 (depends on 1) The computer system according to claim 1, wherein the processor is configured to: acquire a medical dictionary containing words relating to medicine; and acquire from the medical dictionary a word other than the name of the disease as a word indicating the medical care event. ### Claim 10 An information processing method, which is executed by a computer system comprising a processor and a memory, the information processing method comprising: acquiring, by the processor, clinical information containing a plurality of cases, each of the plurality of cases indicating a disease of a patient and a medical care event performed on the patient, and acquiring literature information containing literature for indicating a name of the disease and a word indicating the medical care event; calculating, by the processor, a frequency of one case indicating a combination of a plurality of diseases based on the clinical information, to store the calculated frequency into the memory; analyzing, by the processor, the literature information using each of the name of the disease and the word indicating the medical care event, to store an analysis result into the memory; acquiring, by the processor, a criterion for determining a disease for which the medical care event has been performed; acquiring, by the processor, first relevance information for indicating whether the medical care event has been performed for the disease based on the analysis result, the calculated frequency, and the acquired criterion, to store the first relevance information into the memory; and generating, by the processor, medical information for indicating a relationship between the medical care event and the disease based on the first relevance information. ### Claim 11 (depends on 10) The information processing method according to claim 10, wherein the calculating a frequency comprises calculating, by the processor, the frequency by dividing a number of cases indicating both of a first disease and a second disease by a number of cases indicating at least the first disease. ### Claim 12 (depends on 10) The information processing method according to claim 10, wherein the clinical information comprises a plurality of cases indicating medical care events that have been performed in a plurality of different periods elapsed since a predetermined start day, wherein the calculating a frequency comprises calculating, by the processor, a plurality of the frequencies based on cases in the plurality of different periods elapsed, and wherein the acquiring first relevance information comprises: calculating, by the processor, a temporal change amount in frequency based on the plurality of the calculated frequencies; generating, by the processor, a feature vector containing a component for indicating the analysis result and a component for indicating the calculated temporal change amount; and acquiring, by the processor, the first relevance information based on the generated feature vector and the acquired criterion. ### Claim 13 (depends on 12) The information processing method according to claim 12, wherein the calculating a frequency comprises: calculating, by the processor, a first frequency of a case, which indicates a medical care event that has been performed within a period from the predetermined start day until a first day has passed, indicating a combination of the plurality of diseases; calculating, by the processor, a second frequency of a case, which indicates a medical care event that has been performed within a period from the predetermined start day until a second day later than the first day has passed, indicating the combination of the plurality of diseases; and wherein the acquiring first relevance information comprises calculating, by the processor, the temporal change amount based on a difference between the first frequency and the second frequency. ### Claim 14 (depends on 10) The information processing method according to claim 10, wherein literature contained in the literature information comprises a plurality of sentences, and wherein the analyzing the literature information comprises: identifying, by the processor, a position of each of the name of the disease and the word indicating the medical care event in the plurality of sentences by analyzing the literature information; and generating, by the processor, as the analysis result information for indicating a role of each of the name of the disease and the word indicating the medical care event in the plurality of sentences based on the identified position. ### Claim 15 (depends on 10) The information processing method according to claim 10, further comprising; selecting, by the processor, a disease and a medical care event from the clinical information; and acquiring, by the processor, second relevance information for indicating whether the selected medical care event is performed for the selected disease frequently by identifying a number of cases contained in the clinical information, a number of cases indicating the selected disease, and a number of cases indicating the selected medical care event, wherein the generating medical information comprises generating, by the processor, the medical information based on the first relevance information and the second relevance information.