US 11,929,172 B2
Medical examination support apparatus, and operation method and operation program thereof
Yasuyo Nenoki, Tokyo (JP); Junichi Ishigaki, Tokyo (JP); and Keiji Sugihara, Tokyo (JP)
Assigned to FUJIFILM Corporation, Tokyo (JP); and FUJIFILM Medical Systems USA, Inc., Lexington, MA (US)
Filed by FUJIFILM Corporation, Tokyo (JP); and FUJIFILM Medical Systems USA, Inc., Lexington, MA (US)
Filed on May 20, 2020, as Appl. No. 16/878,628.
Application 16/878,628 is a continuation of application No. PCT/JP2018/042565, filed on Nov. 16, 2018.
Claims priority of application No. 2017-223841 (JP), filed on Nov. 21, 2017.
Prior Publication US 2020/0279651 A1, Sep. 3, 2020
Int. Cl. G16H 50/20 (2018.01); G16H 30/40 (2018.01); G16H 50/70 (2018.01)
CPC G16H 50/20 (2018.01) [G16H 30/40 (2018.01); G16H 50/70 (2018.01)] 6 Claims
OG exemplary drawing
 
1. A medical examination system comprising:
a medical examination support apparatus;
an electronic medical record server with a medical record database;
an image server with an image database;
a report server with a report database;
a conference server with a conference database; and
a processor configured to:
in response to a distribution request for an integrated display screen in which various kinds of medical data are combined into one from a client terminal communicatively coupled to the medical examination support apparatus, acquire a medical data from the electronic medical record server, the image server, the report server and the conference server by performing a search on the medical record database, the image database and the report database;
in response to the distribution request, acquire an automatic processing log which is a history of automatically performing analysis processing on examination data obtained in a medical examination by a diagnosis support algorithm to output a result of the analysis processing as diagnosis support information configured for supporting diagnosis;
in response to a registration request for an operation log from the client terminal, acquire the operation log which is a history of an operation with respect to the examination data comprising an enlarged display operation or a comparison display operation;
store the examination data in association with the automatic processing log and the operation log in a storage; and
control an output of a log display screen which has a collective display region in which the automatic processing log and the operation log are collectively displayed in a time series in a distinguishable manner,
wherein the operation log includes an analysis result for the examination data,
wherein the processor causes a quotation log to be displayed in the collective display region to correspond to the automatic processing log or the operation log, the quotation log being a history of quoting the diagnosis support information included in the automatic processing log or the analysis result included in the operation log via a drag-and-drop operation in a medical report stored in the report database or a medical conference information stored in the conference database,
wherein the processor stores the number of times of quotation of the diagnosis support information included in the automatic processing log or the analysis result included in the operation log, in the medical report or the medical conference information in association with the automatic processing log or the operation log in the storage,
wherein the processor varies a display aspect of the automatic processing log or the operation log depending on the number of times of quotation read out from the storage,
wherein the processor generates the integrated display screen and the log display screen, and transmits the integrated display screen and the log display screen to the client terminal, in response to the distribution request for the integrated display screen from the client terminal,
wherein the processor is further configured to searches for a similar case image similar to a target medical image using an equation S=[{Σ(ZTi-ZCi)2}1/2/N from the image database, wherein S is a similarity degree between the target medical image and a medical image of the image database, ZTi is a feature quantity of the target medical image, ZCi is a feature quantity of the medical image of the image database, N is a number of times of quotation, i is a natural number, the feature quantity includes a size of a lesion, a numerical value relating to a pixel value and a numerical value relating to the position of a lesion, wherein the medical image of the image database having the similarity degree equal to or less than a threshold value is searched as the similar case image.