EP3903322A1 - Procédé pour assister des processus opérationnels dans un environnement de laboratoire au moyen d'un système d'assistance - Google Patents

Procédé pour assister des processus opérationnels dans un environnement de laboratoire au moyen d'un système d'assistance

Info

Publication number
EP3903322A1
EP3903322A1 EP20704501.4A EP20704501A EP3903322A1 EP 3903322 A1 EP3903322 A1 EP 3903322A1 EP 20704501 A EP20704501 A EP 20704501A EP 3903322 A1 EP3903322 A1 EP 3903322A1
Authority
EP
European Patent Office
Prior art keywords
laboratory
data
user
data model
documentation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP20704501.4A
Other languages
German (de)
English (en)
Inventor
Ferencz SANDOR PALDY
Steffen GLOTH
Jonas KULESSA
Magdalena ZADARA
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
LabTwin GmbH
Original Assignee
LabTwin GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by LabTwin GmbH filed Critical LabTwin GmbH
Publication of EP3903322A1 publication Critical patent/EP3903322A1/fr
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics
    • G16B50/30—Data warehousing; Computing architectures

Definitions

  • the invention relates to a method for supporting work processes in a laboratory environment by means of an assistance system according to claim 1 and an assistance system for carrying out such a method according to claim 27.
  • LIMS laboratory information and management system
  • ELN electronic laboratory notebook
  • the invention is based on the problem of specifying a method for supporting laboratory processes in a laboratory environment, in particular a bioprocess engineering, by means of an assistance system, which is accompanied by an increase in the efficiency of everyday laboratory work.
  • an exchangeable laboratory data model is provided for mapping the laboratory environment in terms of data technology that can be used consistently in the entire laboratory environment and in every phase of the laboratory process.
  • the laboratory environment mapped by the laboratory data model is assigned a number of laboratory entities such as laboratory devices.
  • the laboratory environment is mapped in terms of data in the exchangeable laboratory data model by means of the assistance system.
  • the configuration step can be repeated regularly or at least with every change in the laboratory environment, so that an updated laboratory data model is always available.
  • the interchangeability of the laboratory data model is an important aspect of the proposed solution. Because the laboratory data model as such is interchangeable, it is easily possible to adjust the assistance system to a new laboratory environment.
  • the laboratory data model is used in every phase of the laboratory process.
  • user inputs in particular voice inputs
  • the derivation of the predetermined user commands depends on the laboratory data model. This takes into account the fact that equipping the laboratory environment with different laboratory devices means that different user commands are available to the laboratory user. This makes it easy to rule out the possibility of erroneous user commands that do not correspond to the laboratory devices available in the laboratory environment.
  • the proposed method is associated with a reduction in the probability of errors during the processing of the laboratory processes.
  • the derived user commands based on the laboratory data model are implemented by means of the assistance system in an implementation step. This ensures that too the implementation of the derived user commands is tailored to the respective laboratory environment, which, as mentioned above, is mapped in terms of data in the exchangeable laboratory data model. In this way, a high level of reliability and, if necessary, an optimization of the implementation of the derived user commands can be realized in an efficient manner.
  • the proposed assistance system can be implemented at least partially cloud-based, which in particular simplifies the optimization of laboratory processes across laboratories.
  • the assistance system can run at least partially as an app on a smart device, which further increases the user friendliness.
  • the status information is the position of the laboratory user in the laboratory environment, which regularly determines which laboratory entities are relevant in each case in the upcoming interaction and implementation steps.
  • the status information can also relate to laboratory device values according to claim 4.
  • the definition of the laboratory data model for mapping the laboratory environment is the subject of claims 5 to 7.
  • the object-oriented structure of the laboratory data model according to claims 6 and 7 plays a special role.
  • the object-oriented approach is not just a simple creation of the Laboratory data model connected in the configuration step. Rather, laboratory entities that have already been modeled can be easily reused as well a high level of security against incorrect modeling through the data encapsulation inherent in the object-oriented approach.
  • the particularly preferred embodiment according to claim 10 ensures that the current laboratory data model is accessed at any time. Every slight change in the laboratory data model thus has a direct effect on the interaction step and the implementation step.
  • the further preferred refinements according to claims 11 to 14 relate to the making of user inputs via voice inputs.
  • the use of the laboratory data model plays a very special role here with regard to reducing input errors.
  • the proposed language processing comprises, in the usual manner, a voice recognition step based on a language model according to claim 11 and a semantics analysis step based on a semantics model according to claim 13.
  • a particularly important assistance function of the proposed assistance system is the efficient creation and updating of laboratory documentation. This is the subject of claims 17 to 22.
  • a laboratory documentation data structure is defined for mapping the actual laboratory sequence in the laboratory environment, which has a number of laboratory documentation data objects.
  • a particularly efficient and at the same time clear documentation results from the fact that at least one part of the laboratory documentation data objects is assigned to at least one laboratory data object.
  • the laboratory documentation data structure is preferably structured in an object-oriented manner in the above manner.
  • the further preferred refinements according to claims 23 to 25 relate to further assistance functions such as the control of laboratory entities (claim 23), the request for consumables (claim 24), and the translation of the documentation data structure (claim 25).
  • the last three assistance functions mentioned can also be implemented in a particularly targeted manner because the laboratory data model is consistently available in its current form.
  • Fig. 1 the essential process steps of a proposed
  • FIG. 2 shows the basic structure of the laboratory data model on which the method according to FIG. 1 is based
  • FIG. 3 shows a configuration screen for performing the configuration step of the method according to FIG. 1,
  • FIG. 5 shows the basic structure of a laboratory documentation data structure of the method according to FIG. 1.
  • the proposed method serves to support laboratory processes in a laboratory environment 1, here and preferably bioprocess engineering, by means of an assistance system 2.
  • FIG. 1 shows that the laboratory environment 1 is assigned a number of laboratory entities 3.
  • the laboratory entities 3 can be, for example, laboratory equipment or the like, as well as laboratory personnel, as will be shown below.
  • the reference laboratory procedure concerns the production of an aqueous buffer with subsequent control of the pH value.
  • the reference laboratory sequence comprises the following work steps:
  • the proposed method provides information about the laboratory environment in a targeted manner. According to the proposal, it is initially provided that, by means of the assistance system 2, in a configuration step 4, the laboratory environment 1 is mapped in terms of data in an exchangeable laboratory data model 5. The exchangeability of the laboratory data model 5 is of particular importance in order to enable the assistance system 2 to be easily adapted to new laboratory environments 1.
  • the above configuration step 4 can be provided in a user-guided manner, as is indicated in FIG. 3 and will be explained below. Alternatively or additionally, it can be provided that configuration step 4 runs automatically according to a configuration rule. This can be appropriate, for example, if the laboratory environment 1 is expanded to include a new laboratory entity 3.
  • user inputs 8 in particular voice inputs still to be explained, can be entered and predetermined user commands 9 compared with the laboratory data model 5 are derived from the user inputs 8 .
  • the derivation of the user commands 9 is compared with the laboratory data model 5 in such a way that, for example, only those user commands are derived that can also be implemented with the existing laboratory entities 3 of the laboratory environment 1. This is associated with a reduction in the probability of errors in the interaction of the laboratory user B with the laboratory environment 1.
  • the proposed procedure goes one step further.
  • the derived user commands based on the laboratory data model 5 are implemented by means of the assistance system 2 in an implementation step 10.
  • the laboratory data model 5 is used in order to be able to carry out the implementation as tailored as possible to the respective laboratory environment 1.
  • This relates, for example, to the most user-friendly control of a laboratory device or the generation of documentation in which relevant status information on the laboratory environment 1 is also automatically recorded.
  • the assistance system 2 is implemented at least in part on a cloud basis.
  • the assistance system 2 runs at least partly as an app on a smart device 11.
  • the user interface 7 is provided by such a smart device 11.
  • Other variants for implementing the user interface 7 are conceivable.
  • the interaction step 6 and / or the implementation step 10 is or are carried out not only on the basis of the laboratory data model 5, but also additionally as a function of at least one piece of status information 12.
  • the status information 12 represents the current situation prevailing in the laboratory environment 1, which relates, for example, to the position of the laboratory user B or the laboratory device values provided by the laboratory devices.
  • the status information 12 is, for example, the position of the laboratory user B in the laboratory environment 1 and / or the laboratory entities 3 located in a predetermined vicinity of the laboratory user B and / or the status of a currently process-relevant laboratory entity 3.
  • the status information 12 is laboratory device values, it is preferably such that, in order to determine the status of a laboratory entity 3 by means of the assistance system 2, in a reading step via a device interface, laboratory device values, in particular measured values, from laboratory entities 3, in particular from laboratory equipment.
  • the above status information 12 can, however, also be information from any data source assigned to the laboratory environment 1. This concerns, for example, a camera that documents the implementation of a work step in the laboratory process.
  • the laboratory data model 5 comprises a number of laboratory data objects 13, each of which depicts a laboratory entity 3 of the laboratory environment 1 in terms of data.
  • the laboratory data objects 13 are stored in the respective laboratory entity and / or readable from the respective laboratory entity.
  • a data link is stored in the respective laboratory entity 3, via which the actual laboratory data object can be downloaded from a remote server, in particular a cloud server.
  • the term “readable” is to be understood broadly.
  • the laboratory data model 5 is object-oriented based on predetermined data classes of laboratory entities 3, specifically in such a way that the laboratory data objects 13 are each parameterized instances of a respective laboratory entity data class.
  • the laboratory entity data classes can combine different types of laboratory entities 3.
  • the laboratory entities 3 representing a laboratory device are assigned to a laboratory entity data class “laboratory device”.
  • the laboratory entities 3 representing a laboratory user B are assigned to a laboratory entity data class “laboratory user”.
  • a laboratory entity data class comprises a set of at least partially parameterizable properties which are always assigned to the laboratory data object 13 when the laboratory data object 13 of the laboratory data class is created.
  • the properties assigned to a laboratory entity data class can include attributes such as size ratios, inputs / outputs or the like, as well as methods such as reading out measured values or the like. Some of the properties can also be encapsulated so that the probability of errors when creating laboratory data objects 13 can be further reduced.
  • the object-oriented structure of the laboratory data model 5 is particularly advantageous with regard to the interchangeability of the laboratory data model 5.
  • an instance of the object-oriented laboratory data model 5 is stored as such in the assistance system, whereby the exchange of the entire laboratory data model 5 as a unit is correspondingly simplified.
  • a particularly simple variant for performing the configuration step 4 can be seen in the illustration according to FIG. Provision is made here for the laboratory data model 5 to be compiled from its library 14 of library objects 15 via the user interface 7 in the configuration step 4. This is implemented here and preferably in that library objects 15 are assigned to the laboratory data model 5 by the user in a graphic configuration screen 16, here and preferably by drag and drop. With the object-oriented structuring of the laboratory data model 5, the library objects 15 preferably each represent a laboratory entity data class, so that the user-side assignment via the configuration screen 16 is accompanied by the creation of an instance of the laboratory data class in question.
  • the laboratory entities 3 are each shown as graphic icons.
  • the configuration screen 16 has on the right-hand side a graphic representation of the library 14 with the library objects 15, which can be transferred by the user to the laboratory data model 5, which is also shown graphically. Here and preferably, as mentioned above, this is done using drag & drop.
  • the parameterization of the laboratory data objects 13 is preferably provided via the input fields 17 which are arranged below the representation of the laboratory data model 5.
  • the laboratory data model 5 is adapted, in particular continuously, to the respective current laboratory environment 1 and that the interaction step 6 and the implementation step 10 are always based on the respectively ac- Access the current laboratory data model 5. It can therefore be provided in principle that the laboratory data model 5, as mentioned above, is updated automatically, in particular in response to a change in the laboratory environment 1.
  • the laboratory data model 5 is adapted to the current laboratory environment 1 by means of a user input 8, here and preferably via the configuration screen 16. A combination of both variants of updating the laboratory data model 5 is conceivable.
  • the advantageousness of the object-oriented structure of the laboratory data model 5 can be shown particularly well on the basis of the reference laboratory sequence.
  • the reference laboratory procedure requires at least a few laboratory activities 3 in the laboratory environment 1, namely an analytical balance (step 3.), a magnetic stirrer (step 6.), a pH meter and a temperature sensor (steps 7. and 11.) and a pipette (step 8).
  • the laboratory data model 5 must have at least the laboratory data objects 13 assigned to these laboratory entities 3. It can be seen from the representation according to FIG. 3 that the configuration step 4 for the reference laboratory sequence can be carried out with a few user inputs 8, so that the laboratory data model 5 shown as an example in FIG. 2 results.
  • the user inputs 8 are at least partially voice inputs, the proposed method providing a special system for voice processing.
  • This system of language processing can be seen in principle from the illustration according to FIG. Accordingly, audio signals 18 are preferably recorded in interaction step 6 via user interface 7, with a structured text 21 being generated from audio signals 18 in a speech recognition step 19 based on a language model 20.
  • the speech recognition step 19 is also preferably carried out as a function of the laboratory data model 5 and / or as a function of the status information 12 mentioned above.
  • the vocabulary on which the language model 20 is based is attached to the laboratory data model 5.
  • the language model 20 does not have to include the part of the vocabulary which is directed, for example, to a unit for liquid handling, since a unit for liquid handling in the laboratory data model 5 does not is included. This significantly reduces the complexity of speech recognition. If the language model 20 is to be selected or modified as a function of the above-mentioned status information 12, it is preferably such that the language model 20 is tailored to the respectively existing and / or process-relevant laboratory entities 3.
  • At least part of the language model 20 can be contained in the laboratory data model 5, in particular in the laboratory data objects 13.
  • at least a part of the language model 20 is read out from the relevant laboratory entity 3, in particular from the corresponding laboratory device, in the above sense.
  • the interaction step 6 comprises a semantic analysis step 22 in which a semantic analysis of the structured text 21 generated in the speech recognition step 19 is carried out based on a semantic model 23, the semantic analysis of the respective user command 9 is derived from the structured text 21.
  • a voice input by laboratory user B could include the pronunciation of the command “Weigh buffer salts”. Because the language model 20, as mentioned above, is tailored to the laboratory environment 1 reduced in the reference laboratory sequence, there are no problems with speech recognition. The same applies to the implementation of the semantic analysis step 22, since the few laboratory entities 3 present in the laboratory environment 1 allow a small number of predetermined user commands. The semantic analysis step 22 can therefore also be easily implemented and is associated with a low error probability.
  • the implementation of the respective user command 9 is also provided as a function of the laboratory data model 5. This is based on the knowledge that only an unambiguous implementation of the user command 9 tailored to the respective laboratory entity 3 guarantees error-free processing.
  • an implementation rule is provided for each user command 9, according to which the respective user command 9 is implemented and which, in a particularly preferred embodiment, is at least partly contained in the assigned laboratory data object 13. An exchange of the relevant laboratory entity 3 thus automatically leads to a corresponding adjustment of the implementation rule.
  • At least part of the implementation rule can be read out from the assigned laboratory entity 3, in particular from the assigned laboratory device, in the above sense.
  • the above automatic adjustment can thus be implemented particularly easily.
  • the implementation rule can be implemented in completely different ways.
  • a control sequence for the implementation of the user command 9 and the laboratory entities 3 involved in the implementation of the user command 9 are preferably contained in the implementation rule.
  • the implementation rule for the user command “Weighing buffer salts” includes a control sequence for the assigned analysis lysis scales so that the analysis scales start a measuring cycle and show the corresponding measured value on a display.
  • At least one predetermined user command 9 relates to the documentation of the actual laboratory process.
  • a laboratory documentation 24 of the actual laboratory sequence in the laboratory environment 1 is preferably defined, a predetermined user command 9 being the updating of the laboratory documentation 24.
  • the laboratory documentation 24 is preferably updated in an event-based manner, wherein, more preferably, an event that triggers the update is a user input 8. It is particularly preferred that the laboratory documentation 24 is assigned a laboratory documentation data structure 25, indicated in FIG. 5, for mapping the actual laboratory sequence in the laboratory environment 1, the laboratory documentation data structure 25 having a number of laboratory documentation data objects 26 which map a work progress in the laboratory process.
  • the work progress shown by the laboratory documentation data objects 26 can be any type of event. Here and preferably these events are user-related events and / or device-related events.
  • FIG. 5 shows that at least one laboratory data object 13 is assigned to at least some of the laboratory documentation data objects 26.
  • the laboratory documentation data structure 25 in addition to the actual laboratory process in the narrower sense, also includes information on the laboratory entities 3 relevant for the laboratory process.
  • the laboratory documentation data structure 25 is an at least partially object-oriented data structure which allows structured access to all data relevant to the laboratory process.
  • the updating of the laboratory documentation data structure 25 is carried out on the basis of state information 12 mentioned above. It can be provided that at least some of the laboratory documentation data objects 26 have at least some of the above-mentioned received laboratory device values be assigned. In this way, device values can automatically find their way into the laboratory documentation 24 without this having to be triggered by the laboratory user.
  • the laboratory documentation data structure 25 not only includes laboratory documentation data objects 26, which correspond to the total of 13 work steps, but also the laboratory data objects 13, which the laboratory entities 3 of the analytical balance, the magnetic the mixer, the PH meter with temperature sensor, the pipette and the pump. Furthermore, it is preferably such that, for example, the measured value of the weight of the buffer salts determined in work step 3 is received by means of the assistance system 2 and assigned to the relevant laboratory documentation data object 26. The relevant measured value is thus stored in a logically structured manner, without the laboratory user B having to give any organizational instructions.
  • the illustration according to FIG. 1 suggests that the laboratory documentation 24 not only includes the laboratory documentation data structure 25, but also the audio data 18 for the respective voice inputs and the structured text determined in the context of the voice recognition step 19 21. There are thus three types of description for the laboratory documentation. The resulting redundancy leads to a particularly high level of reliability when determining the actual laboratory sequence based on laboratory documentation 24.
  • the assistance system 2 can provide a large number of further, predetermined user commands 9.
  • a predetermined user command 9 can be the control of laboratory entities 3, in particular laboratory devices, the control of the laboratory entities 3 in response to a corresponding user command 9 according to the assigned implementation rule based on the laboratory data model 5, in particular on the corresponding the laboratory data object 13 is carried out.
  • the laboratory data object 13 concerned contains, for example, a communication protocol for communication with the laboratory entity 3 concerned, in particular the laboratory device concerned. This means that communication with the relevant store bor device is always ensured, even if the laboratory device has been replaced while the laboratory data model 5 is being updated at the same time.
  • a predetermined user command 9 is the request for consumables
  • the request for consumables on a corresponding user command 9 according to the assigned implementation rule based on the laboratory data model 5, in particular on the corresponding laboratory data object 13, is carried out.
  • this can be the consumables that laboratory entity 3 needs for its operation.
  • the consumable material to be requested can be a single-use reactor bag suitable for the bioreactor.
  • An express request on the part of laboratory user B is unnecessary according to this variant of the proposed method.
  • a predetermined user command 9 includes a translation step in which the documentation data structure 25 is translated into a particular natural language based on a translation rule in a selected national language. It becomes clear here that the laboratory documentation data structure 25 provides a meta-data format, as it were, which is independent of the national language and to this extent can be automatically translated into any national language.
  • the above independence of the proposed laboratory documentation 24 from the respective national language is particularly advantageous with regard to the cooperation of laboratory environments 1 in which communication takes place with different national languages, different dialects, different laboratory jargon, or the like.
  • the proposed laboratory documentation data structure 25 is identical for all these laboratory environments 1 and, by means of the above translation step, allows a simple and preferably machine translation into the respective national language, the respective dialect and the respective laboratory jargon used.
  • the user inputs 8 can be subjected to a plausibility check with comparatively little effort.
  • the user input 8 be checked in a plausibility step according to a plausibility rule with regard to plausibility with the laboratory environment 1.
  • a warning message is preferably output via the user interface 7.
  • the proposed assistance system 2 can be implemented preferably cloud-based and thus has an Internet connection to a cloud server 27.
  • a number of spatially separate sub-laboratory environments can in principle be provided, which are assigned to the assistance system 2 in the manner proposed via an Internet connection, in particular via a cloud server 27.
  • the laboratory data model 5 can in principle also include a mapping of the laboratory process itself.
  • any laboratory actions that are assigned to a laboratory sequence are also the laboratory entities 3 mentioned above, which are mapped by corresponding laboratory data objects 13.
  • the configuration screen 16 or a similar configuration screen can consequently be used to create the laboratory processes based on the library objects 15 of a library 14.
  • templates of predefined partial processes can be selected in order to simplify the definition of a laboratory process.
  • an assistance system 2 for carrying out a proposed method is claimed as such. Reference may be made to all statements relating to the proposed procedure. List of reference symbols

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  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • General Business, Economics & Management (AREA)
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Abstract

L'invention concerne un procédé pour assister des processus de laboratoire dans un environnement de laboratoire (1) en particulier d'ingénierie des bioprocédés au moyen d'un système d'assistance (2), un certain nombre d'entités (3) de laboratoire tel qu'un certain nombre d'appareils de laboratoire étant associé à l'environnement de laboratoire (1) et l'environnement de laboratoire (1) étant représenté par technique de données dans un modèle de données (5) de laboratoire interchangeable au moyen du système d'assistance (2) au cours d'une étape de configuration (4), des entrées d'utilisateur (8), en particulier des entrées vocales, pouvant être entrées au moyen du système d'assistance (2) au cours d'une étape d'interaction (6) par l'intermédiaire d'une interface (7) utilisateur et des instructions d'utilisateur prédéfinies, comparées au modèle de données (5) de laboratoire, étant déduites des entrées d'utilisateur (8), les instructions d'utilisateur déduites étant mises en œuvre sur la base du modèle de données (5) de laboratoire au moyen du système d'assistance (2) au cours d'une étape de mise en œuvre (10).
EP20704501.4A 2019-02-07 2020-02-06 Procédé pour assister des processus opérationnels dans un environnement de laboratoire au moyen d'un système d'assistance Pending EP3903322A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102019103078.1A DE102019103078A1 (de) 2019-02-07 2019-02-07 Verfahren zur Unterstützung von Arbeitsabläufen in einer Laborumgebung mittels eines Assistenzsystems
PCT/EP2020/053014 WO2020161253A1 (fr) 2019-02-07 2020-02-06 Procédé pour assister des processus opérationnels dans un environnement de laboratoire au moyen d'un système d'assistance

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US (1) US20220148715A1 (fr)
EP (1) EP3903322A1 (fr)
CN (1) CN113366582A (fr)
DE (2) DE102019103078A1 (fr)
WO (1) WO2020161253A1 (fr)

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DE102019103078A1 (de) * 2019-02-07 2020-08-13 Labtwin Gmbh Verfahren zur Unterstützung von Arbeitsabläufen in einer Laborumgebung mittels eines Assistenzsystems

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WO2020161253A1 (fr) 2020-08-13
CN113366582A (zh) 2021-09-07
DE102019103078A1 (de) 2020-08-13
DE202020100647U1 (de) 2020-05-12

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