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71. 发明公开

EP4006796A1 ELEKTRONISCHES SYSTEM ZUM TRACING VON NUTZERN, INSBESONDERE ZUR BEKÄMPFUNG EINER PANDEMIE 审中-公开
公开(公告)号：EP4006796A1
公开(公告)日：2022-06-01
申请号：EP20210115.0
申请日：2020-11-26
申请人： culture4life GmbH
发明人： HENNIG, Patrick
IPC分类号： G06Q10/06 , G06Q50/26 , G16H50/80
摘要： Die Erfindung betrifft ein elektronisches System (200) mit Nutzergeräten (204), einem Server (202) zum Tracing von Nutzern, die sich temporär in verschiedenen räumlichen Bereichen (Venues) aufhalten, für eine Entität (246), wobei das elektronische System zur Durchführung der folgenden Schritte konfiguriert ist:
- anlässlich einer Registrierung: Speicherung von Nutzerdaten (300) auf dem Server (202), wobei die Nutzerdaten mit einem für den jeweiligen Nutzer individuellen U-ser-Data-Key (310) verschlüsselt sind; und Speicherung der User-IDs und eines Nutzer-individuellen zur Entschlüsselung der verschlüsselten Nutzerdaten erforderlichen User-Data-Entschlüsselungsschlüssels (310) jeweils in demjenigen der Nutzergeräte, welches dem Nutzer zugeordnet ist;
- Im Zuge eines Check-ins eines der Nutzer gegenüber einem der Venues, Erzeugung einer Trace-ID, die repräsentativ ist für eine Kombination aus User-ID und einer aktuellen Zeitinformation, und Speicherung der Trace-ID verknüpft mit der Venue-ID des einen Venue auf dem Server (202),
- Empfang einer Mitteilung beinhaltend die User-ID eines der Nutzer;
- Erzeugung von Kandidaten-Trace-IDs für den in der Mitteilung identifizierten Nutzer, wobei die Kandidaten-Trace-IDs mögliche zurückliegende Trace-IDs sind, die innerhalb eines vorgegebenen vergangenen Zeitraums liegen, und
- Verwendung der erzeugten Kandidaten-Trace-IDs als Suchkriterium durch den Server (202), um entsprechende auf dem Server für den vergangenen Zeitraum gespeicherte Trace-IDs aufzufinden, um die Venue-IDs der vom Nutzer besuchten Venues zu ermitteln,
- Ausgabe der ermittelten Venue-IDs.

72. 发明公开

EP3893249A3 METHOD FOR PREDICTING EPIDEMICS 审中-公开
公开(公告)号：EP3893249A3
公开(公告)日：2022-03-16
申请号：EP21192800.7
申请日：2021-08-24
申请人： Beijing Baidu Netcom Science and Technology Co., Ltd.
发明人： LIU, Ji , DOU, Dejing , HUANG, Jizhou , LI, Qiaojun
IPC分类号： G16H50/80
摘要： The present disclosure provides a method and apparatus for predicting an epidemic situation, a device, a storage medium, and a program product, relates to the field of artificial intelligence technology such as deep learning and smart medical care. A specific embodiment of the method includes: estimating a variable parameter of the epidemic situation in a preset area using a Markov Chain Monte Carlo (MCMC) method; acquiring a constant parameter of the epidemic situation in the preset area; constructing a transmission model based on the variable parameter and the constant parameter; and fitting, using the transmission model, to predict epidemic information of the preset area. This embodiment uses the transmission model and the MCMC method to predict the epidemic situation in the preset area, which improves an accuracy of epidemic prediction.

73. 发明公开

EP3929940A1 DEVICES, SYSTEMS, AND METHODS FOR ASSESSING FACILITY COMPLIANCE WITH INFECTIOUS DISEASE GUIDANCE 审中-实审
公开(公告)号：EP3929940A1
公开(公告)日：2021-12-29
申请号：EP21177865.9
申请日：2021-06-04
申请人： Honeywell International Inc.
发明人： GIBSON, Adam Robert , PALANIVEL, Rajkumar , RANJAN, Prabhat , TOWLER, Kelvin Paul , PAIX, Kendall , SALGAR, Mayur Sidram , KARMAKAR, Sheeladitya , SHARMA, Manish
IPC分类号： G16H50/80
摘要： Devices, methods, and systems for monitoring and/or assessing compliance with infectious disease guidance for reducing infectious disease transmissions are described herein. The systems may include sensing devices at or within a facility and computing devices to compare data based on outputs from the sensing devices with guidance and/or recommendations for mitigating infectious disease transmission. Various compliance parameters may be identified as being relevant to the guidelines and measurable with outputs from the sensing devices. Various compliance parameters may be identified as being relevant to the guidelines, but not measurable with outputs from the sensing devices. The compliance parameters may be individually scored or scored in groups, including the compliance parameters not measureable with outputs from the sensing devices, and a score relative to a facility or group of facilities may be provided. The scores may be presented to via a dashboard.

74. 发明公开

EP3836152A1 SYSTEM AND METHOD FOR POINT-OF-CARE, RAPID, FIELD-DEPLOYABLE DIAGNOSTIC TESTING OF VIRUSES 审中-实审
公开(公告)号：EP3836152A1
公开(公告)日：2021-06-16
申请号：EP20211391.6
申请日：2020-12-02
申请人： Autonomous Medical Devices Incorporated
发明人： Shachar, Josh , Kornberg, Roger
IPC分类号： G16H10/40 , G16H50/80 , G01N33/543 , B01L3/00
摘要： The present invention relates to an automated system communicated to a remote server for diagnostically field testing a sample taken from a subject using an automated portable handheld instrument to determine the presence of viral antigens and/or antibodies thereto, comprising a microfluidic circuit defined in a rotatable disk, a bio-detector operationally positioned in the microfluidic circuit, wherein the microfluidic circuit is configured for performing a bioassay using the bio-detector to generate an electrical signal indicative of a bioassay measurement, one or more lasers, one or more positionable valves in the microfluidic circuit, and a backbone unit for rotating the disk according to a predetermined protocol to perform the bioassay, for controlling and powering the one or more lasers to selectively open one or more positionable valves in the microfluidic disk, for operating the bio-detector to generate the electrical signal indicative of the bioassay measurement; for communicating the bioassay measurement to the remote server, and for associating the performed bioassay and its corresponding bioassay measurement to the subject.

75. 发明公开

EP3679587A1 ARRANGEMENT FOR PROACTIVELY NOTIFYING AND ADVISING USERS IN TERMS OF POTENTIALLY HEALTH-AFFECTING LOCATION-RELATED PHENOMENA, RELATED METHOD AND COMPUTER PROGRAM 审中-实审转让
公开(公告)号：EP3679587A1
公开(公告)日：2020-07-15
申请号：EP18853603.1
申请日：2018-09-06
申请人： Kamu Health Oy
发明人： SALORINNE, Seppo
IPC分类号： G16H50/80 , G01N33/00 , A61B5/00 , A61B5/08 , G08B21/12 , G01W1/00

76. 发明授权

EP3312842B1 VERFAHREN ZUM BEREITSTELLEN EINER EXPOSITIONSANGABE ÜBER EINE BELASTUNG EINER PERSON MIT LUFTSCHADSTOFFEN 有权
公开(公告)号：EP3312842B1
公开(公告)日：2020-02-19
申请号：EP17203435.7
申请日：2017-11-24
申请人： Carl Freudenberg KG
发明人： HAEFNER, Uwe , KOEHLER, Oliver , STAHL, Ulrich , OELSNER, Alexander
IPC分类号： G16H50/30 , G01C21/34 , G16H50/80

77. 发明授权

EP3022707B8 SYSTEMS AND METHODS FOR MONITORING MOVEMENT OF DISEASE FIELD 有权转让
公开(公告)号：EP3022707B8
公开(公告)日：2019-11-20
申请号：EP14826921.0
申请日：2014-07-17
申请人： Be Seen Be Safe Ltd.
发明人： NELSON, Timothy
IPC分类号： H04W4/021 , H04L29/08 , G06Q50/02 , A01K11/00 , G16H50/80 , A01G22/00

78. 发明公开

EP3563275A1 METHOD AND DEVICE FOR ESTIMATING A LOCAL PARTICLE CONCENTRATION 审中-公开
公开(公告)号：EP3563275A1
公开(公告)日：2019-11-06
申请号：EP17829662.0
申请日：2017-12-27
申请人： Koninklijke Philips N.V.
发明人： SCHEJA, Michael Martin , KELLY, Declan Patrick , RONDA, Cornelis Reinder
IPC分类号： G06F19/00 , G16H50/80

79. 发明授权

EP3022707B1 SYSTEMS AND METHODS FOR MONITORING MOVEMENT OF DISEASE FIELD 有权转让
公开(公告)号：EP3022707B1
公开(公告)日：2019-10-09
申请号：EP14826921.0
申请日：2014-07-17
申请人： Nelson, Timothy , Sotomayor, Joel Roberto
发明人： Nelson, Timothy , Sotomayor, Joel Roberto
IPC分类号： H04W4/021 , H04L29/08 , G06Q50/02 , A01K11/00 , G16H50/80 , A01G22/00
摘要： A method for monitoring movement of disease across agricultural areas of interest including providing, using one or more processors and one or more data storage devices, a virtual zone generator and disease movement monitor, defining, using the virtual zone generator, a plurality a virtual zones, each virtual zone corresponding to an agricultural geographic area of interest and identifying a location for the agricultural geographic area of interest, receiving a plurality of raw-data sets from a plurality of tracking devices, each tracking device corresponding to a vector or fomite that has the potential to carry a disease detrimental to agriculture, each raw data set corresponding to a tracking device and comprising an identification code identifying the tracking device, a timestamp corresponding to the time the raw data was generated by the tracking device, and location information for the tracking device, and generating disease movement data, using the disease movement monitor, by correlating the raw data sets to the virtual zones to detect movement of the tracking devices within, between and across the virtual zones.

80. 发明公开

EP3471107A1 MEDICAL DEVICE AND COMPUTER-IMPLEMENTED METHOD OF PREDICTING RISK, OCCURRENCE OR PROGRESSION OF ADVERSE HEALTH CONDITIONS IN TEST SUBJECTS IN SUBPOPULATIONS ARBITRARILY SELECTED FROM A TOTAL POPULATION 审中-公开
公开(公告)号：EP3471107A1
公开(公告)日：2019-04-17
申请号：EP17196137.8
申请日：2017-10-12
申请人： Fresenius Medical Care Deutschland GmbH
发明人： TSCHULENA, Ulrich , BELLOCCHIO, Francesco , NERI, Luca , ARMSEN, Wencke , BARBIERI, Carlo
IPC分类号： G16H50/50 , G16H50/80
摘要： A computer-implemented method of generating a generalized model for adaptively predicting occurrence or progression of a first adverse health condition for a first subpopulation arbitrarily selected from a total population, includes extracting information about characterizing features of a plurality of second subpopulations, about occurrences and/or severity of the first adverse health condition found therein and/or about corresponding prognostic results, from a plurality of publications. One or more of the characterizing features are associated with corresponding first factors indicating a relation with an adverse or beneficial contribution of the characterizing feature to the occurrence or progression of the first adverse health condition, and with corresponding second factors indicating the relative frequency of occurrence in the respective second subpopulation considered in the respective publication. The characterizing features and their first and second factors are combined into a generalized model for the total population, including calculating a baseline risk of patient. The generalized model is stored on a computer accessible and readable medium in a retrievable manner.

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