EP3304375A1

EP3304375A1 - Measurement data processing system

Info

Publication number: EP3304375A1
Application number: EP16726493.6A
Authority: EP
Inventors: Astrid BÖGER
Original assignee: Deutsche Telekom AG
Current assignee: Deutsche Telekom AG
Priority date: 2015-05-28
Filing date: 2016-05-17
Publication date: 2018-04-11
Also published as: DE102015108447B4; CA2986938A1; JP2018522311A; US20180146928A1; RU2017140771A; WO2016188795A1; KR20170139679A; CN107683508A; DE102015108447A1

Abstract

The invention relates to a measurement data processing system (100) comprising: a measurement data server (101) for providing first measurement data (102) having a first error tolerance (110) and second measurement data (104) having a second error tolerance (112), wherein the first error tolerance (110) is less than the second error tolerance (112); a first measurement data capture device (103) for capturing the first measurement data (102), wherein the first measurement data capture device (103) is calibrated for capture of the first measurement data (102) having a first error tolerance (110) and wherein the first measurement data capture device (103) has a first measurement data transmission interface (107) that is designed to transmit the first measurement data (102) and a first piece of calibration information (106) about the calibration of the first measurement data capture device (103) to the measurement data server (101); and a second measurement data capture device (105) for capturing the second measurement data (104), wherein the second measurement data capture device (105) is calibrated for capture of the second measurement data (104) having a second error tolerance (112) and wherein the second measurement data capture device (105) has a second measurement data transmission interface (109) that is designed to transmit the second measurement data (104) and a second piece of calibration information (108) about the calibration of the second measurement data capture device (105) to the measurement data server (101), wherein the measurement data server (101) has a measurement data capture interface (111) that is designed to receive the first measurement data (102) and the first calibration information (106) from the first measurement data capture device (103), and to receive the second measurement data (104) and the second calibration information (108) from the second measurement data capture device (105), wherein the measurement data server (101) is further designed to provide the first measurement data (102) and the second measurement data (104) in reference to the first calibration information (106) and the second calibration information (108) of the relevant measurement data capture devices (103, 105).

Description

Data Processing System

The present invention relates to a measuring data processing system and a method for measuring data processing, in particular for measuring data processing of measured data of medical devices that are worn on the body and their data in a "health cloud" (cloud system for processing health data) are merged, especially those for medical Care, including diagnostics, therapy and care can be used.

In today's health cloud systems, medical devices for acquiring vital data, i. Measurement data indicating a health / illness condition of the patient is used. Such medical devices have a high accuracy in the measurement data acquisition and are often certified to be used in a medical environment for the collection of vital data such as in the health cloud. In addition to the specially certified medical devices, more and more so-called fitness devices or wellness devices in the form of consumer products for the private sector are now being used to measure vital data. These consumer products often have lower accuracy than the certified medical gauges and do not meet the standards prescribed for the medical sector, for example, according to the Medical Devices Act or the corresponding

European guidelines.

There is a need for the physician and nursing staff to base a diagnosis of the patient on as much information as possible, i. not only to use the data of the medical devices for the diagnosis alone, but also to be able to include patient-generated measurement data from the private environment in the diagnosis.

It is the object of the present invention to provide a concept for a more efficient use of measurement data acquired with different devices, in particular vital data, in order to enable a more accurate analysis of a condition based on the measurement data. This object is solved by the features of the independent claims. Advantageous forms of further education are the subject of the dependent claims.

The following methods and systems can be used in the cloud,

For example, the health cloud can be used. Under cloud or cloud computing here is the approach to understand abstracted IT infrastructures such as

Computing capacity, data storage, network capacity, finished software or here to make the server dynamically adapted to the needs via a network. The abstracted IT infrastructure provided is also referred to as cloud or "cloud." The term "health cloud" refers to a data processing system for processing data from essentially medical devices that meet special requirements for medical data acquisition and data processing.

The methods and systems presented below may be of various types. The individual described elements can be replaced by hardware or

Be implemented software components, such as electronic components that can be produced by various technologies and, for example

Semiconductor chips, ASICs, microprocessors, digital signal processors, integrated electrical circuits, electro-optical circuits and / or passive components.

The methods and systems presented below can be used for communicating in client-server systems or based on a client-server architecture. The client-server architecture is the standard concept for distributing tasks within a network. Tasks are distributed to different computers by means of servers and can be requested by several clients to solve their own tasks or parts thereof. Tasks may be standard tasks, such as e-mail, e-mail, Web access, etc., or specific tasks of a software or program. A task is called a service in the client-server model.

A server is a program that offers a service. As part of the client-server concept, another program, the client, can use this service. The communication between client and server depends on the service, ie the service determines what data is exchanged between the two. The server is in

Willingness to be able to respond to the contact of a client at any time. Unlike the client that actively requests a service, the server behaves passively and waits for requests. The rules of communication for a service, such as format, call of the server and the meaning of the data exchanged between server and client are determined by a protocol specific to the respective service.

The measuring data processing system presented below can be based on the client-server concept. For example, the presented below

Messdatenserver represent a server according to the client-server architecture described above and provide its services as a server. The first and second measurement data acquisition devices presented below can be used e.g. Represent clients according to the client-server architecture described above and provide their services as clients.

The communication interfaces presented below, i.

Metering interfaces and metering interfaces between client and server may be based on wireless networks, such as using Wi-Fi, WiFi, Bluetooth, infrared, or others

Short-range communication standards. The communication interfaces can also be based on wired networks, for example, using Ethernet, USB, cable, etc. As a protocol for data transmission, for example, Voice-over-IP (VoIP) can be used via IPv4 or IPv6. The communication channels between the interfaces can be established by means of the public network, for example via the Internet, a telephone network of a telephone operator, eg a wired network, such as a POTS, ISDN, DSL or cable network or a wireless network, such as a mobile network Mobile operator, such as a cellular network, for example, using a mobile standard such as LTE, UMTS, GSM, etc. As protocols for data or voice transmission over the communication network, Voice over IP can be used by IPv4 or IPv6 or ATM, STM or others wide area standards. The measurement data processing system presented below can acquire and process measurement data with a specific fault tolerance. As fault tolerance here is an accuracy or quality of the measurement to understand. The fault tolerance is a deviation of the detected measured value from the exact measured value, which is usually specified as the ratio of the measured value recorded to the exact measured value in percent or per thousand. A low fault tolerance is thus associated with an accurate reading while a high fault tolerance reflects a less accurate reading.

The measurement data processing system presented below can be implemented via

Have measured data acquisition devices that are calibrated according to a legal requirement such as the medical device standard. The Medical Devices Act regulates in particular the conditions for placing on the market and the

Commissioning of medical devices. The Medical Devices Act contains a number of national regulations, for example for the monitoring and operation and use of medical devices. Medical devices are medical devices intended by the manufacturer for human use. These include, for example, implants, products for injection, infusion, transfusion and dialysis, software, pacemakers, x-ray equipment, medical

Instruments, as well as laboratory diagnostics and in vitro diagnostics. With the

Medical Devices Act and the associated Medical Devices Regulation, the European Directives 90/385 / EEC, 93/42 / EEC and 98/79 / EC have been transposed into national law. The purpose of this law is to regulate the circulation of medical devices and thus the safety, suitability and performance of medical devices and the

To ensure health and the necessary protection of patients, users and third parties.

According to a first aspect, the invention relates to a measurement data processing system comprising: a measurement data server for providing first measurement data having a first fault tolerance and second measurement data having a second fault tolerance, the first fault tolerance being smaller than the second fault tolerance; a first

Messdatenerfassungseinnchtung for detecting the first measurement data, wherein the first Meßdatenerfassungseininnchtung for the detection of the first measurement data is calibrated with a first error tolerance and wherein the first Meßdatenerfassungseinnchtung a first measurement data transmission interface, which is formed, the first

Measurement data and a first calibration information about the calibration of the first

Transfer measurement data acquisition to the measurement data server; and a second measurement data acquisition device for acquiring the second measurement data, wherein the second data acquisition device is calibrated for acquiring the second measurement data with a second error tolerance, and wherein the second data acquisition device comprises a second measurement data interface configured to generate the second measurement data and a second calibration information about the calibration The second

Messdatenerfassungseinnchtung to transmit the measurement data server, wherein the measurement data server has a measurement data acquisition interface, which is formed, the first measurement data and the first calibration information from the first

Receive Messdatenerfassungseignchtung, and receiving the second measurement data and the second calibration information from the second Meßdatenerfassungseininnchtung, wherein the measurement data server is further configured, the first measurement data and the second measurement data with reference to the first calibration information and the second calibration information of the corresponding measurement data acquisition devices

provide.

This has the advantage that the doctor or the nursing staff a diagnosis of

Patients can rely on a very extensive information base, because they can not only on their own the data of medical devices, i. use the very accurate measurement data of the first measurement acquisition device with the low first fault tolerance for the diagnosis, but also patient-generated measurement data from the private environment, i. Include the less accurate measurement data of the second measurement acquisition device with the higher second fault tolerance in the diagnosis.

This allows the existing medical devices as well as the devices from the private environment to be used efficiently and thus enables a more precise analysis of the condition of the patient than would be possible without an additional integration of the second measurement data.

In one embodiment of the measurement data processing system, the first comprises

Calibration information information about a quality of the first measurement data and the second calibration information information about a quality of the second measurement data. This has the advantage that the doctor or the nursing staff is very well aware of the accuracy of his or her diagnosis based on the measurement data

Diagnosis, since he has the information about the quality of the measurement data available.

In one embodiment of the measurement data processing system, the first one

Data acquisition device A medical device for recording vital data with a given first fault tolerance. This has the advantage that the measurement data processing system can be used flexibly in existing infrastructure. If the first data acquisition device is a medical device, such as exists in hospitals, for example, the measurement data processing system can integrate this medical device into the medical device

Flexible integration of measured data acquisition. The measurement data processing system can thus be used in the hospital to expand the existing information base and create better diagnostic options.

In one embodiment of the measurement data processing system, the first

Measurement data acquisition means conformity to a medical standard, in particular conformity according to the Medical Devices Act.

This has the advantage that the first data acquisition device meets the legal requirements and may be used in a medical environment. In one embodiment of the measurement data processing system, the first

Measurement data acquisition on a calibration stamp and the first

Calibration information is based on the calibration stamp.

This has the advantage that the first measurement data from a calibrated first

Data acquisition device originate and are therefore very accurate. Based on the

Calibration stamp, the user can inform himself about the accuracy and the environment in which the first Meßdatenerfassungseinnchtung may be used. In one embodiment of the measurement data processing system, the second one

Measurement data acquisition device of one of the following devices for the detection of

Vital data: a fitness device, a wellness device, a consumer product for the

Home use, in particular a heart rate monitor, a pedometer, a sphygmomanometer, a portable device.

This has the advantage that the second data acquisition device further

Provide vital data that can round off the overall impression of the doctor or nursing staff. This increases the informative value of the acquired measurement data of the measurement data processing system.

In one embodiment of the measurement data processing system, the second one has

Messdatenerfassungseinnchtung on an identifier, in particular a serial number indicating a type of the second Meßdatenerfassungseinnchtung, wherein the second calibration information based on the identifier.

This has the advantage that on the basis of the identifier or the type of the second

Messdatenerfassungseinnchtung on a quality of the second measurement data, which were recorded by the second data acquisition device, can be closed. Thus, an automated measurement data processing is possible in which a quality of the measurement data based on the identifier or design can be automatically evaluated and displayed, for example, based on signal colors of a traffic light in red, yellow, green.

In one embodiment of the measurement data processing system, the measurement data server is designed to store the received first measurement data in a first database and store the received second measurement data in a second database, wherein the second database is separated from the first database, and wherein the first stored in the first database Measurement data have an indication of the stored in the second database second measurement data.

This has the advantage that the first, ie very accurate measurement data, are stored in a first database, which, for example, meets the legal requirements, and that the second, less accurate measurement data in a separate database can be filed, which does not have to comply with the legal requirements. This makes it easier to keep the various measurement data apart and there can be no mistaken mixing or confusion of the measured data. The risk of a misdiagnosis is thus reduced. In one embodiment of the measurement data processing system, the first measurement data stored in the first database are provided with a reference which refers to the second measurement data stored in the second database.

This has the advantage that the measurement data processing system can automatically integrate the second measurement data based on the reference, so that the entire

Ready to hold measurement data. Involvement or non-involvement may be made at the request of the physician or nurse.

In one embodiment of the measurement data processing system, the reference comprises the second calibration information of the second measurement data acquisition device.

This brings with it the advantage that the doctor or carer in deciding further

To integrate measurement data into the diagnosis, with which one informs

Calibration the second measurement data acquisition device is calibrated. This allows him to flexibly decide whether this accuracy of the calibration is sufficient for his case or not.

In one embodiment of the measurement data processing system, the reference comprises a form factor which indicates a quality of the second measurement data with respect to a quality of the first measurement data.

This has the advantage that the form factor is clear and fast

Decision support on the accuracy with which the second measurement data was recorded.

According to a second aspect, the invention relates to a method for

Measurement data processing, comprising the following steps: acquisition of first measurement data by a first measurement data acquisition device, wherein the first Measurement data acquisition device for the detection of the first measurement data is calibrated with a first error tolerance and transmitting the first measurement data and a first calibration information on the calibration of the first measurement data acquisition device; Acquisition of second measurement data by a second measurement data acquisition device, wherein the second measurement data acquisition device for the detection of the second

Measurement data is calibrated with a second error tolerance, wherein the first error tolerance is smaller than the second error tolerance, and transmitting the second measurement data and a second calibration information on the calibration of the second

Data acquisition device; Receiving the first measurement data and the first calibration information from the first measurement data acquisition device and receiving the second measurement data and the second calibration information from the second

Data acquisition device; and providing the first measurement data and the second measurement data with reference to the first calibration information and the second calibration information of the corresponding measurement data acquisition devices. This has the advantage that the doctor or the nursing staff with this method can support a diagnosis of the patient on a very extensive information base, because they can not only the data of the medical devices alone, i. use the very accurate measurement data of the first measurement data acquisition device with the low first fault tolerance for the diagnosis, but also patient-generated measurement data from the private environment, i. the less accurate measurement data of the second

Include measurement data acquisition device with the higher second fault tolerance in the diagnosis.

In one embodiment of the method, the first calibration information comprises information about a quality of the first measurement data and wherein the second

Calibration information includes information about a quality of the second measurement data. This has the advantage that the doctor or the nursing staff is very well aware of the accuracy of his or her diagnosis based on the measurement data

Diagnosis, since he has the information about the quality of the measurement data available. In an embodiment, the method further comprises displaying the second one

Calibration information regarding conformity to a medical standard, in particular with regard to conformity according to the Medical Devices Act.

This has the advantage that the first measurement data acquisition device complies with the legal requirements and may be used in a medical environment.

According to a third aspect, the invention relates to a computer program with a program code for carrying out the method according to the second aspect of the invention

Invention when the computer program is run on a computer.

This has the advantage that the method can be used flexibly on existing computers and can adapt to changed circumstances with an update, for example a software update. Further embodiments will be explained with reference to the accompanying drawings. Show it:

1 shows a schematic representation of a measurement data processing system 100 according to an embodiment;

Fig. 2 is a schematic representation of a decentralized system 200 for

Processing vital data according to an embodiment;

Fig. 3 is a schematic representation of a method 300 for

Measurement data processing according to an embodiment; and

Fig. 4 is a schematic representation of a method 400 for

Data processing in a health cloud according to an embodiment. In the following detailed description, reference is made to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. It should be understood that other embodiments may be utilized and structural or logical changes may be made without departing from the concept of the present invention. The following detailed description is therefore not to be understood in a limiting sense. Further, it should be understood that the features of the various embodiments described herein may be combined with each other unless specifically stated otherwise.

Aspects and embodiments will be described with reference to the drawings, wherein like reference numerals generally refer to like elements. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects of the invention. However, it will be apparent to one skilled in the art that one or more aspects or embodiments may be practiced with a lesser degree of specific details. In other instances, well-known structures and elements are shown in schematic form to facilitate describing one or more aspects or embodiments. It is understood that other embodiments may be utilized and structural or logical changes may be made without departing from the concept of the present invention.

Furthermore, while a particular feature or aspect of an embodiment may have been disclosed in terms of only one of several implementations, such feature or aspect may be combined with one or more other features or aspects of the other implementations, as for a given or particular one Application may be desirable and advantageous. Furthermore, to the extent that the terms "contain," "have," "with," or other variants thereof, either in the detailed description or in the English language

Claims may be used to include such terms in a manner similar to the term "comprising." The terms "coupled" and "connected" may be used in conjunction with derivatives thereof such terms may be used to indicate that two elements cooperate or interact with each other independently of whether they are in direct physical or electrical contact or are not in direct contact with each other. In addition, the term "exemplary" is to be considered as an example only, rather than the term of best or optimum, and the following description is therefore not intended to be in a limiting sense.

1 shows a schematic representation of a measurement data processing system 100 according to an embodiment. The measurement data processing system 100 comprises a measurement data server 101 as well as first 103 and second 105

Data acquisition devices.

The measurement data server 101 serves to provide first measurement data 102 having a first error tolerance 110 and second measurement data 104 having a second error tolerance 112, the first error tolerance 110 being smaller than the second error tolerance 112, for example, the first error tolerance may be in the range of 0.01% while the second can be in the range of 0.1%. Hereinafter, the first fault tolerance is referred to as low fault tolerance, while the second fault tolerance is referred to as high fault tolerance

Fault tolerance is called. The first measurement data acquisition device 103 is used to acquire the first measurement data 102. The first measurement data acquisition device 103 is calibrated to acquire the first measurement data 102 with a first error tolerance 110. The first

Measurement data acquisition device 103 has a first

Measuring data transmission interface 107, with which the first measurement data 102 and a first calibration information 106 about the calibration of the first

Measurement data acquisition device 103 can be transmitted to the measurement data server 101.

The second measurement data acquisition device 105 is used for detecting the second

Measurement data 104. The second measurement data acquisition device 105 is calibrated for the acquisition of the second measurement data 104 with a second error tolerance 1 12. The second measurement data acquisition device 105 has a second one

Messdatenübertragungsschnittstelle 109, with which the second measurement data 104 and a second calibration information 108 about the calibration of the second

Measurement data acquisition device 105 can be transmitted to the measurement data server 101.

The measurement data server 101 has a measurement data acquisition interface 1 1 1, with which the first measurement data 102 and the first calibration information 106 can be received by the first measurement data acquisition device 103 and with which the second measurement data 104 and the second calibration information 108 can be received by the second measurement data acquisition device 105 , The measurement data server 101 also serves to provide the first measurement data 102 and the second measurement data 104 with reference to the first calibration information 106 and the second calibration information 108 of the corresponding measurement data acquisition devices 103, 105. The first calibration information 106 may include information about a quality of the first measurement data 102, and the second calibration information 108 may include information about a quality of the second measurement data 104.

The first measurement data acquisition device 103 can be a medical device for acquiring vital data with a predefined first fault tolerance 110.

The first measurement data acquisition device 103 may have a conformity to a medical standard, in particular a conformity according to the

Medical Devices Act.

The first measurement data acquisition device 103 may have a calibration stamp, and the first calibration information 106 may be based on the calibration stamp.

The second measurement data acquisition device 105 may be a device for acquiring vital data, for example a fitness device, a wellness device, a consumer product for home use, in particular a heart rate monitor, a pedometer, a sphygmomanometer or a portable device. The second measurement data acquisition device 105 may have an identifier, in particular a serial number, which is a type of the second

Can specify measured data acquisition device 105. The second calibration information 108 may be based on the identifier. The measurement data server 101 can store the received first measurement data 102 in a first database and store the received second measurement data 104 in a second database. The second database may be separate from the first database. The first measurement data 102 stored in the first database can have an indication of the second measurement data 104 stored in the second database.

The first measurement data 102 stored in the first database can be provided with a reference which can refer to the second measurement data 104 stored in the second database. The reference may be the second calibration information 108 of the second

Measurement data acquisition device 105 include.

The reference may include a form factor that may indicate a quality of the second measurement data 104 with respect to a quality of the first measurement data 102.

The measurement data processing system 100 can be used, for example, in a medical environment, e.g. in a health cloud or a decentralized system 200 for processing vital data, as described below for FIG. In the general form according to FIG. 1, however, the measurement data processing system 100 can also be used in other areas in order to increase the measurement to a larger one

Database and thus make it more informative and accurate. For example, the measurement data processing system 100 may be used in an automotive environment in which calibrated meters provide high accuracy data, such as rate sensors, pressure sensors, or temperature sensors. In addition, however, other measuring devices can be used from the environment of the driver to achieve a better overall view, such as measurement data that are recorded by mobile subscriber devices, such as voice messages, current Route data from the Internet or also recorded vital data from wellness devices for recognizing the driving ability of the driver.

In this case, the second measurement data acquisition device 105 offers the advantage of greater flexibility. Especially if this does not require any elaborate calibration

legal requirements, it is easier the second

Data acquisition device 105 to replace or load with new software to adapt flexibly to changing environmental situations.

For example, the measurement data processing system 100 can also be used in a

Traffic control system can be used, for example, has fixed installations with a low Fault Tolerance for the detection of the location, the speed and the license plate of vehicles. In addition, this traffic guidance system can also use information from other higher fault tolerance data acquisition systems, such as e.g. mobile devices, for example navigation devices in vehicles or mobile communication devices such as smartphones, notebooks with mobile radio adapters or other devices with mobile radio or Internet connection. For example, the first measurement data 102 having the first fault tolerance 110 may be acquired by such fixedly installed devices, and the second measurement data 104 with the second fault tolerance may be recorded by such mobile devices.

The second measurement data 104 can also be used to check the first measurement data. Thus, it may happen over time that the calibration of the first measurement data acquisition device 103 no longer meets the requirements. By recording the second measurement data 104 with the second

Measurement data acquisition device 105, a deviation in the accuracy of the first measurement data 102 can be detected and, if necessary, an alarm can be triggered. If the calibration quality of the first measurement data 102 is known, a threshold value can be determined. If the difference between first measurement data 102 and second measurement data 104 is outside the threshold value, an error can be detected and, for example, an alarm can be triggered to allow the first measurement data acquisition device 103 to be recalibrated. FIG. 2 shows a schematic representation of a decentralized system 200 for processing vital data according to an embodiment. The distributed system 200 includes one or more decentralized communication devices 201, 203, 205 that are configured to communicate with one or more other decentralized ones

Communication devices 201, 203, 205 to communicate. For example, each of the decentralized communication devices 201, 203, 205 may utilize mobile patient software that may be executed on a communication device having distributed data fusion software. The decentralized

Communication devices 201, 203, 205 may access data from subscribers in a distributed fashion, such as on the subscriber's communication device 205, without having to store that data on a central server or on a plurality of distributed servers.

Each of the decentralized communication devices 201, 203, 205 may have a

Initiate communication to another of the decentralized communication devices 201, 203, 205 in the remote network 102. Thus, the distributed network 102 may perform scaling of services and operations to be performed. For example, upon detection of a task to be performed on the subscriber

Communication device 205 of this device 205 decide whether a detected event that signals a task to be performed, to be escalated, so that one or more participants devices 205 are informed thereof or whether the nursing service team to be informed. If the subscriber communication device 205 decides that, for example, the caregiver or nurse should be notified, the subscriber communication device 205 may use functionality of the decentralized data merge software to directly send a corresponding event, such as an alert or a message

Caregiver / nurse communication device 201 to transmit. The

Caregiver / nurse communication device 201 may then receive the message and trigger a corresponding user interface event, eg on the screen, as sound or as a vibration. Furthermore, it can transmit a corresponding response to the subscriber communication device 205, for example, that the task to be fulfilled is taken over. The distributed system 200 includes a cloud services server that allows the network 210 to access other networks or components in the cloud. Furthermore, the decentralized system 200 includes diagnostic / monitoring systems 207, with which a diagnosis or monitoring of the network 210 and the communication devices 201, 203, 205 can be performed. With the diagnosis / monitoring systems 207, physicians or nurses can diagnose user equipment 205, monitor the effectiveness of interventional measures, and the like. For example, the efficiency of a care plan can be monitored, or diagnostic measures and possible contingency plans can be created and reviewed. The decentralized system 200 further includes medical sensor devices 213 for acquiring vital data of the patient, control devices 21 1 for controlling the

Measurements and continue fitness / wellness equipment 215, with the same

Vital data of the patient can be recorded. The medical sensor devices 213, the fitness / wellness devices 215 and the control devices 21 1 can by a

Subscriber communication device 205 are controlled so that each doctor / caregiver with his mobile subscriber communication device 205 can initiate a data acquisition on the patient.

The medical sensor devices 213 can have a very low fault tolerance and, for example, be in conformity with the Medical Devices Act. You can e.g. correspond to the first measurement data acquisition devices 103 according to the description of FIG. On the other hand, the fitness / wellness devices 215 may have high fault tolerance, i. Compared to the medical sensor devices 213 perform a much less accurate measurement of vital signs and generally have no compliance with the Medical Devices Act. The fitness / wellness devices 215 may e.g. correspond to the second measurement data acquisition devices 105 according to the description of FIG.

In the network 210, a method for evaluating the data received from the medical sensor devices 213 and the fitness / wellness devices 215 may be provided

for example, as follows. The method can carry out an evaluation of vital data, the vital data being recorded by devices with fault tolerance of a first type 213, ie the medical sensor devices 213 and Devices of a second kind, ie the fitness / wellness equipment. The fault tolerance of the first type is lower, in particular substantially lower than the fault tolerance of the second type. The devices with fault tolerance of the first type can be an identifier

which is stored in a database, and the respective device due to the identifier as a device with fault tolerance of the first kind for the medical

Health care is detected. The devices with fault tolerance of the second type have essentially no identification and data of these devices with fault tolerance of the second kind are processed for the acquisition of vital data according to their calibration quality. Vital data from devices with fault tolerance of the second kind can be stored taking into account the calibration quality in a database for medical health care, for example via the

Diagnostic / monitoring systems 207 or via the connection to the cloud services 209.

The data of the fault-tolerant devices of the first type may be stored in a first database and the data of the fault-tolerant devices of the second type may be stored in a separate second database and data of the second database may be added by references to the data of the first database.

In one embodiment of the method, the reference from the first database to the second database adds information about the calibration quality or fault tolerance of the first type, in particular as a form factor.

In one embodiment of the method, the reference permits an abstraction of the data in such a way that no conclusion can be made about personal data which may be contained in the respective data.

A system may perform the procedure and authenticate the communication devices connected to the Internet.

The method can be carried out with a computer program. One

Computer program product can be used to run the computer program to perform the method. Fig. 3 shows a schematic representation of a method 300 for

Measurement data processing according to an embodiment. The method 300 may include the following steps: 1. Step: detecting 301 of first measurement data by a first measurement data acquisition device, wherein the first measurement data acquisition device for the acquisition of the first measurement data is calibrated with a first error tolerance and transmitting the first measurement data and a first calibration information on the

Calibration of the first measurement data acquisition device. 2nd step: acquisition 302 of second measurement data by a second measurement data acquisition device, wherein the second measurement data acquisition device is calibrated for the acquisition of the second measurement data with a second error tolerance, wherein the first error tolerance is smaller than the second error tolerance, and transmitting the second measurement data and a second

Calibration information about the calibration of the second measurement data acquisition device. 3rd step: receiving 303 the first measurement data and the first calibration information from the first measurement data acquisition device and receiving the second measurement data and the second calibration information from the second measurement data acquisition device. 4th step: Providing 304 of the first measurement data and the second measurement data with reference to the first calibration information and the second calibration information of the corresponding

Data acquisition devices.

The method 300 can run on a measurement data processing system 100 as described for FIG. The first calibration information may include information about a quality of the first measurement data, and the second calibration information may include information about a quality of the second measurement data. The method 300 may further include the step of: displaying the second calibration information relating to conformity to a medical standard, in particular regarding compliance with the Medical Devices Act.

The method 300 may be executed on the decentralized system 200 described in FIG. 2 or on the measurement data processing system 100 according to FIG. 1. 4 shows a schematic representation of a method 400 for data processing in a health cloud according to an embodiment. The method 400 for processing data in a health cloud comprises the following steps as shown in FIG. 4: 1. Step 401: Request Vital Data; Step 2 402: query the available patient devices; 3rd step 403: recording of the vital data by medical device with low fault tolerance and with quantitative calibration, possibly calibrated; 4th step 404: recording the vital data by the fitness device with high fault tolerance and with qualitative calibration, possibly unequally; Step 5: preparing the data (medical device) and reporting the raw data and calibration quality to the server; 6th step 406:

Preparation of data (fitness equipment) and reporting of raw data and

Calibration quality to the server; 7. Step 407: Evaluation of the data under

Consideration of calibration quality.

The method may be performed in the health cloud 413, for example the decentralized system 200 for processing vital data, as described in FIG. Steps 1, 2, and 7 may be implemented on a server 410 in the health cloud 413, steps 3 and 6 may be on a medical device 41 1 in the health cloud, and steps 4 and 5 on a fitness device 412 in the health cloud be implemented. The server 410 may be a measurement data server 101 as described above with respect to FIG. The medical device 41 1 may be a first measurement data acquisition device 103, as described above for FIG. 1. The fitness device 412 may be a second measurement data acquisition device 105, as described above with reference to FIG. 1. The medical device 41 1 has a low fault tolerance compared to the fitness device 412. Therefore, the medical device 41 1 is also referred to as a first type device specified by its low fault tolerance. The fitness device 412 is referred to as a device of a second type or a second type, which is characterized by its high

Fault tolerance is specified in comparison to that of the medical device.

For example, the fault tolerance of the medical device 41 1 may be in the range of 0.01% while the fault tolerance of the fitness device 412 may be in the range of 0.1%. These are just examples, other numerical values are equally possible where the fault tolerance of the medical Device 41 1 is less than or substantially less than the fault tolerance of the fitness device 412. The method 400 relates to data processing in a health cloud 413. The health cloud 413 is a data processing system for processing data from substantially medical devices that meet specific medical data acquisition and processing requirements. The data processing system may also be opened on a case-by-case basis with data from the environment of portable devices, including wearables (ie portable devices) coming from the field of consumer products, to the patient for use by the patient

Home use available.

Case by case means that data from the patient's device will allow information about the progression and onset of a disease at a stage at a time when the patient was not yet in medical treatment with a medical or medical practitioner.

Should the physician or healer believe that the patient's equipment provides important information about vital signs such as heart rate, blood pressure, and respiration

Diagnosis of a disease such as a myocardial infarction, it will be enabled by method 400 to be able to qualitatively insert data into the system 413, taking into account the low fault tolerance. The process essentially proceeds as follows: The health cloud 413 comprises a server 410, on which data of the first category are stored. In the Health Cloud 413, especially medical devices 41 1 of low fault tolerance are included. The low fault tolerance of the devices 41 1 is determined primarily by the Medical Devices Act.

In addition, there are fitness devices 412, such as pulse monitors or pedometer, which have a high fault tolerance, which are not subject to the Medical Devices Act. These can be included in the Health Cloud 413 on a case-by-case basis, especially if, in a medical emergency, the data of the pulse meters of other fitness equipment make the evaluation of the data seem desirable.

The fitness device 413 can in particular be connected to the health cloud 413 via a mobile communication interface, for example Bluetooth. The patient or the healer, who incorporates the device 412, can thus immediately receive an indication of the calibration quality and the conformity to the standard of the Medical Devices Act. This can be done, for example, by signaling in traffic light colors, wherein a low deviation can be characterized by a green signal color in the measured value display and a higher deviation can be indicated by a yellow or red signal color.

The method 400 can proceed in detail as follows:

In step 401, vital data are only interrogated by the different types of devices. In step 402, the query of the available patient devices takes place.

In step 403, the vital data is recorded by the medical device 41 1 with low fault tolerance and with qualitative calibration, which may also be calibrated.

In step 104, the vital data is recorded by the fitness device 412 with high fault tolerance and with qualitative calibration, which is essentially un-calibrated, by means of a reference. In step 405, the preparation of the data and notification of the raw data and

Calibration quality to server 410.

In step 406, the preparation of the data and notification of the raw data and

Calibration Quality to Server 410. The rendering can be done by adding a form factor.

In step 407, the evaluation of the data takes place taking into account the

Calibration quality. The device data and calibration quality can also be stored in a database due to the design conformity. The devices can then be identified on the basis of the identifier, in particular a serial number in a trust center. The Calculation of the fault tolerance is rendered obsolete and the manufacturer's instructions can preferably be used to determine the calibration tolerance.

Thus, with method 400, devices 412 of high fault tolerance may be incorporated into a medical data acquisition system (Health Cloud 413) with devices 41 1 of substantially low fault tolerance on a case-by-case basis

Measured variables from different systems can be detected on the basis of multi-sensor modules. Thus, the devices 412, 413 can communicate automatically and allow the physician or nursing staff a more accurate analysis of the condition of the patient due to the larger measurement database.

Thus, the diagnosis of the patient can be based on an extensive information base, i. not only the data of the medical devices 41 1 alone can be used for the diagnosis, but also measured data from the private environment created by patients can be included in the diagnosis.

The method 400 may be executed on the decentralized system 200 described in FIG. 2 or on the measurement data processing system 100 according to FIG. 1.

An aspect of the invention also includes a computer program product that can be loaded directly into the internal memory of a digital computer and

Software code sections, with which the method 200, 400 described in Figures 2 and 4 can be performed when the product is running on a computer. The computer program product may be on a computer-suitable medium

be stored and comprise: computer readable program means, which cause a computer, first measured data by a first

Measuring data acquisition device to capture, with the first

Measurement data acquisition device for the detection of the first measurement data is calibrated with a first error tolerance and to transmit the first measurement data and a first calibration information on the calibration of the first measurement data acquisition device; second measurement data to be detected by a second measurement data acquisition device, wherein the second measurement data acquisition device is calibrated for the detection of the second measurement data with a second error tolerance, wherein the first error tolerance is smaller than the second error tolerance, and the second measurement data and a second calibration information to be transmitted via the calibration of the second measurement data acquisition device; the first measurement data and the first calibration information from the first

Receive measurement data acquisition device and receive the second measurement data and the second calibration information from the second measurement data acquisition device; and the first measurement data and the second measurement data with reference to the first calibration information and the second calibration information of the corresponding

To provide measurement data acquisition devices.

The computer may be a PC, for example a PC of a computer network. The computer may be implemented as a chip, an ASIC, a microprocessor or a signal processor, and may be implemented in a computer network, such as a computer

Measurement data processing system 100 as described in Figure 1 or in one

decentralized system as described in Figure 2 or in a cloud, be arranged.

It is to be understood that the features of the various embodiments described herein by way of example may be combined with each other except as specifically stated otherwise. As shown in the specification and drawings, individual elements that have been shown to be related need not communicate directly with each other; Intermediate elements may be provided between the connected elements. Furthermore, it goes without saying that

Embodiments of the invention may be implemented in individual circuits, partially integrated circuits, or fully integrated circuits or programming means. The term "for example" is meant to be an example rather than the best or optimal, certain embodiments have been illustrated and described herein, but it will be apparent to those skilled in the art that a variety of alternative and / or similar implementations may be substituted for those shown and shown described embodiments can be realized without departing from the concept of the present invention. LIST OF REFERENCE NUMBERS

100: Measurement data processing system according to a

embodiment

101: Measurement data server

102: first measured data

103: first measurement data acquisition device

104: second measured data

105: second measurement data acquisition device

106: first calibration information

107: first measurement data transmission interface

108: second calibration information

109: second measurement data transmission interface

1 10: first fault tolerance

1 1 1: Measurement data acquisition interface

1 12: second fault tolerance

121: first measurement

122: second measurement

200: decentralized system for processing vital data

201: module for nurse / carer

203: Support network

205: Module for participants of the system

207: Diagnostics / Monitoring Systems

209: cloud services

210: Network

21 1: Control devices

213: medical sensor devices

215: Fitness / Wellness Devices 300: A method for measuring data processing according to an embodiment

301: 1. Step: capture first measurement data

302: 2nd step: capture second measurement data

303: 3rd step: Receive the first / second measurement data 304: Step 4: Provide the first / second measurement data

400: A method for data processing in a health cloud according to a

embodiment

401: 1. Step: Request vital signs

402: 2nd step: Querying the available patient devices

403: 3rd step: recording of the vital data by med. Device with lower

fault tolerance

404: 4th step: recording of the vital data by fitness machine with high

fault tolerance

405: 5th step: preparation of the data (of the medical device), message to the

server

406: 6th Step: Preparation of the data (of the fitness machine), message to the

server

407: 7th step: evaluation of the data

Claims

1 . A measurement data processing system (100), comprising: a measurement data server (101) for providing first measurement data (102) having a first error tolerance (110) and second measurement data (104) having a second one

Fault tolerance (1 12), where the first fault tolerance (1 10) is less than the second fault tolerance (1 12); a first measurement data acquisition device (103) for acquiring the first measurement data (102), wherein the first measurement data acquisition device (103) for the

Acquisition of the first measurement data (102) with a first error tolerance (1 10) is calibrated and wherein the first measurement data acquisition device (103) has a first

Measurement data transmission interface (107), which is configured to transmit the first measurement data (102) and a first calibration information (106) via the calibration of the first measurement data acquisition device (103) to the measurement data server (101); and a second measurement data acquisition device (105) for acquiring the second measurement data (104), wherein the second measurement data acquisition device (105) for the

Detection of the second measurement data (104) with a second error tolerance (1 12) is calibrated and wherein the second measurement data acquisition device (105) has a second

Measurement data transmission interface (109), which is configured to transmit the second measurement data (104) and a second calibration information (108) to the measurement data server (101) via the calibration of the second measurement data acquisition device (105), the measurement data server (101) having a measurement data acquisition interface (101). 1 1 1), which is formed, the first measurement data (102) and the first

Receive calibration information (106) from the first measurement data acquisition device (103), and to receive the second measurement data (104) and the second calibration information (108) from the second measurement data acquisition device (105), wherein the measurement data server (101) is further configured, the first Measurement data (102) and the second measurement data (104) with reference to the first calibration information (106) and the second calibration information (108) of the corresponding

To provide measurement data acquisition devices (103, 105).

The measurement data processing system of claim 1, wherein the first calibration information comprises information about a quality of the first measurement data, and wherein the second calibration information comprises information about a quality of the second measurement data.

3. measurement data processing system (100) according to claim 1 or 2, wherein the first measurement data acquisition device (103) is a medical device for acquiring vital data with a predetermined first fault tolerance (1 10).

4. Messdatenverarbeitungssystem (100) according to any one of the preceding claims, wherein the first measurement data acquisition device (103) has a conformity to a medical standard, in particular a conformity according to the

Medical Devices Act.

5. measurement data processing system (100) according to any one of the preceding claims, wherein the first measurement data acquisition device (103) has a calibration stamp and the first calibration information (106) based on the calibration stamp.

6. measurement data processing system (100) according to any one of the preceding claims, wherein the second measurement data acquisition device (105) of one of the following devices for the collection of vital data is: a fitness device, a wellness device, a

Consumer product for home use, especially a heart rate monitor, a

Pedometer, a blood pressure monitor, a portable device.

7. Messdatenverarbeitungssystem (100) according to any one of the preceding claims, wherein the second measurement data acquisition device (105) has an identifier, in particular a serial number, which is a type of the second

Indicates measurement data acquisition means (105), wherein the second calibration information (108) is based on the identifier.

8. Messdatenverarbeitungssystem (100) according to any one of the preceding claims, wherein the measurement data server (101) is arranged, the received first

Store measurement data (102) in a first database and store the received second measurement data (104) in a second database, wherein the second database is separated from the first database, and wherein the first measurement data (102) stored in the first database contains an indication the second measured data (104) stored in the second database.

9. measurement data processing system (100) according to claim 8, wherein the stored in the first database first measurement data (102) are provided with a reference which refers to the stored in the second database second measurement data (104).

The measurement data processing system (100) of claim 9, wherein the reference is the second calibration information (108) of the second

Measurement Data Acquisition (105).

1 1. The measurement data processing system (100) of claim 10, wherein the reference comprises a form factor that is a quality of the second

Indicates measurement data (104) with respect to a quality of the first measurement data (102).

12. Method (300) for measuring data processing, comprising the following steps:

Detecting (301) first measurement data by a first one

Messdatenerfassungseinnchtung, wherein the first Meßdatenerfassungseinnchtung for the detection of the first measurement data is calibrated with a first error tolerance and transmitting the first measurement data and a first calibration information on the

Calibration of the first data acquisition device;

Detecting (302) second measurement data by a second one

A measurement acquisition device, wherein the second measurement acquisition device is calibrated to acquire the second measurement data with a second fault tolerance, the first fault tolerance being less than the second fault tolerance, and transmitting the second measurement data and a second calibration information via the calibration of the second acquisition acquisition device; Receiving (303) the first measurement data and the first calibration information from the first measurement data acquisition device and receiving the second measurement data and the second calibration information from the second measurement data acquisition device; and

Providing (304) the first measurement data and the second measurement data with reference to the first calibration information and the second calibration information of the corresponding measurement data acquisition devices.

13. The method of claim 12, wherein the first calibration information comprises information about a quality of the first measurement data, and wherein the second calibration information comprises information about a quality of the second measurement data.

The method (300) of claim 12 or 13, further comprising:

Displaying the second calibration information relating to conformity to a medical standard, in particular with respect to conformity according to the

Medical Devices Act.

15. A computer program having a program code for carrying out the method (300) according to any one of claims 12 to 14, when the computer program is executed on a computer.