DE102007057169A1 - Diagnostic machine for web-based sensor- and evaluation system, has personal-computer-based processor, where machine supplies processed data into diagnostic- and management center over secured internet connection - Google Patents

Abstract

The machine (5) has an input unit for manual or digital input of information data, and an internet access device (9) for bidirectional communication with a central unit. A personal-computer (PC)-based processor (1) is attached to sides of user-required measuring sensor systems (10-20) over a digital signal transmission line (4), and is coupled with a knowledge-based processor (2) and with user-based data detector (3). The machine supplies processed data into a diagnostic- and management center (60) over a secured internet connection (6). The measuring sensor systems are electrocardiogram (ECG) measuring system (10), blood pressure-/pulse measuring system (11), temperature measuring system (12), blood-/oxygen measuring system (13), cholesterol measuring system (14), sugar measuring system (15), lactate measuring system (16), skin-/hair measuring system (17), oxidative stress measuring system (18), allergy measuring system (19) and measuring systems (20).

Description

The The invention relates to an automatic diagnosis device for a web-based sensor and evaluation system for automated medical and / or lifestyle diagnostic check in the preliminary diagnosis and treatment.

The usual Approach in the case of serious illness is to to the patient for diagnosis and treatment of the disease in one Hospital convict. However, it has proven to be beneficial provided for care or ambulance personnel to make the diagnosis and with the treatment already starting at the patient's place of admission. Such arrangements make it equally possible in an early age Stage to determine if the expertise of a particular specialist and special equipment or the like required are, after which the patient is transferred directly to the place can, on which such expertise, such equipment etc. are available.

Such early diagnosis and treatment would be greatly facilitated if the caregiver had an opportunity to carry a portable telemedical device designed to record signals from ECG (electrocardiography) and VKG (vector cardiography) units and similar sensor systems is. A portable unit of this kind, which can be docked to and therefore connectable to a stationary telecommunications network (LAN), which also allows connection to external measuring equipment and which comprises a display device for visualizing the measurement results, is known from US Pat US 5,375,604 A. known. However, this device according to the prior art is only a passive unit and is designed to receive and visualize exclusively signals from the measuring devices. It is unable to provide active contact and exchange of information between patient care personnel and other individuals, which would be a possibility that would aid in both the diagnosis and the implementation of the appropriate treatment would. This is particularly true in the case of the aforementioned portable unit when used in the undocked state, in which case there is no communication with other devices.

Furthermore, the describes US 5 441 047 A a system according to which selected data on the patient is automatically collected, after which this data is transmitted via a stationary telecommunication network, such as a cable television network, to a center in which the diagnosis, monitoring or similar operations are performed. However, the described device is not portable and moreover has a plurality of independent components, which is why this device is not designed for ambulatory use and for an arrangement on board, for example, an ambulance. Nor is it suitable for an active exchange of information between the caring staff at the patient's side and the staff at the central station.

In addition, there is a need to share communications between the patient side care staff and the central station staff, as well as opportunities to fill in certain types of predefined forms, such as patient records, at the patient's side at an early stage. This need is partially solved by a prior art according to the EP 0 707 825 A2 encountered.

Further it would be desirable if the possibility would be data manually and preferably with only one Hand in a convenient, fast and easy way to enter. Likewise, it would be desirable if the possibility would be to make the input means sufficiently small, so that the portable device is not unnecessarily bulky and no longer manageable.

in the Healthcare, especially in clinics, patient data management systems are used, where patient data is stored. The patient data include besides the so-called master data of the patient like name, first name and date of birth the medical findings and initiated or already completed medical or nursing measures.

The Medical findings are usually lab results, for example relevant in cardiac diseases measured values such as the myoglobin value, the Troponin I value and CKMB value; in respiratory diseases relevant measurements such as blood gas analysis, eg. B. the pH of the Blood, the oxygen partial pressure of the blood, the carbon dioxide particle pressure of blood and oxygen saturation of blood.

The be stored in the patient data management systems data by the persons treating the patient and by the laboratory staff into the system via standardized interfaces (in hospitals HL7, entered in practices xDT) and on request the practitioner made available. The data is however from the patient management system is not analyzed, but only saved and transported.

Methods for analyzing data, in particular medical data are known. For example, describes DE 101 45 265 a method for evaluating data from patients with at least one chronic disease, comparing the patient data with risk profiles calculated from statistical data. On the basis of the risk profiles, a measure for the treatment of a patient is recommended. The procedure can be performed on a computer.

DE 694 14 108 discloses a system and method for determining a medical risk in which a patient's data is entered into the system, data transformed from that data is converted using a variable, and the transformed data with mean and standard deviation from transformed data of other patients whose risk previously determined with other systems can be calculated to calculate the probability of the occurrence of a health disorder.

Especially in multimorbid patients, the number of data available for every single patient through the patient data management system must be recorded, extremely high. by virtue of However, considerable medical progress is now with supposedly simple illnesses a multiplicity of data that often do not allow proper analysis. It is therefore not untypical that medical decisions based on individual Data that is considered to be particularly conspicuous. Other, Data stored in the Patient Data Management System that contains a other findings could be excluded Eight left, so due to rather arbitrary selected Data measures are taken that are complete Analysis of all data could prove to be wrong or inadequate. As a result of the accumulated amount of data is such a reasonable Analysis, however, not readily possible.

Further Today's patient data management systems suffer from the serious Disadvantage that critical conditions of patients who are at full and delay-free analysis of all patient data could be detected, not or detected late become. This can have serious consequences for the affected Have patients.

to Diagnosis of respiratory failure will be present in today Medical practice uses different methods. suitable Methods are, for example, the diagnosis by auscultation, imaging or blood gas analysis. The blood gas analysis captures various physiological parameters for the gas content of the blood and thus the efficiency of breathing characteristic are. However, by means of auscultation or imaging Procedures detected only existing respiratory insufficiencies become; it can not be determined if an increased Risk of such a disease exists or exist in the near future becomes. Blood gas analysis requires analysis of a variety parameters, which - as stated above - difficulties prepares. As a result, it has not been possible to determine whether or not there is a risk of respiratory failure could develop in the near future.

aim The present invention thus has the disadvantages of the prior art. It should in particular a portable and / or stationary telemedical automat be proposed, which the problems associated with the Methods according to the prior art throughout or at least partially avoids.

task The invention is an automatic diagnosis machine for a web-based Sensor and evaluation system for automated medical and / or lifestyle diagnostics. It should in particular a Automatic diagnosis machine for entering vital signs can be found and it concludes a monitoring of the medical Risk of a health disorder, possibly also a respiratory insufficiency, indicated by a user be that a more timely and safe estimate the risk of a health disorder or lifestyle consideration, and Thus, a proper medical and / or lifestyle treatment allows, resulting in a significant reduction in treatment time a user can be connected. Furthermore, the prevention significantly increased, which is a focus of the application represents the automatic diagnosis.

The The object is according to the patent claim 1 and its Subclaims defined below.

• – dass er aus einer PC-basierten Verarbeitung besteht und diese über eine digitale Signalweiterleitung von Seiten der nutzerbedingten Mess-Sensorik angeschlossen ist und die PC-basierte Verarbeitung mit einer wissensbasierten Verarbeitung und gleichzeitig auch mit einer nutzerbasierten Datenerfassung, welche eine Nutzereingabe aufweist, gekoppelt ist, wobei der Diagnoseautomat über eine gesicherte Internetverbindung eingehende, verarbeitete Daten in ein Diagnose- und Durchführungscenter einspeist,
• – dass die Mess-Sensorik an sich bekannte Messmittel, wie EKG, Blutdruck/Puls, Temperatur, Blut/Sauerstoff, Cholesterin, Zucker, Lactat, Haut/Haar, oxidativer Stress, Allergie, Pulmo, Körperfett, Energieumsatz, Knochentest, Wegläufermodul, Bewegungsmelder, Venentest, Gewicht, darstellt,
• – dass die angeschlossene Mess-Sensorik über eine digitale Signalweiterleitung in die PC-basierte Verarbeitung geleitet wird, wobei insbesondere Bluetooth, drahtgebundene oder Funkübertragung stattfinden,
• – dass die wissensbasierte Verarbeitung einen Internetzugang aufweist,
• – dass eine Nutzerinformation aus dem Diagnose- und Durchführungscenter hin zum Nutzer erfolgt,
• – dass in der PC-basierten Verarbeitung eine Erfassung, Auswertung, wissensbasierte Verknüpfung, Plausibilisierung, einfache Visualisierung und entsprechende Empfehlung ausgeführt werden,
• – dass in die wissensbasierte Verarbeitung eine kontextbezogene Ermittlung und Verdichtung relevanter Daten aus Medikamenten, Erfahrungswerten und neuesten Erkenntnissen aus dem Internet eingespeist werden,
• – dass die nutzerbasierte Datenerfassung entsprechende Eingabewerte, Nutzerprofil und Historie über die Nutzereingabe verarbeitet,
• – dass das Diagnose- und Durchführungscenter eine automatisierte Diagnose im Vergleich mit der Historie des Nutzers (Ist-Soll-Wert-Vergleich) und eine elektronische Nutzerakte erstellt; des Weiteren wird eine Überwachung mit Alarm und Weiterleitung zum Arzt sowie Beratung des Arztes über eine Nutzerinformation durchgeführt.

An automatic diagnosis device is developed in this way

• That it consists of a PC-based processing and this is connected via a digital signal transmission from the side of the user-related measurement sensors and the PC-based processing with a knowledge-based processing and at the same time with a user-based data acquisition, which has a user input coupled in which the diagnostic device feeds incoming, processed data via a secure Internet connection into a diagnostics and execution center,
• - that the measuring sensors known measuring means, such as ECG, blood pressure / pulse, temperature, blood / oxygen, cholesterol, sugar, lactate, Skin / hair, oxidative stress, allergy, pulmo, body fat, energy expenditure, bone test, walker module, motion detector, venous test, weight, represents,
• - That the connected measuring sensor is passed via a digital signal forwarding in the PC-based processing, in particular Bluetooth, wired or wireless transmission take place,
• - that the knowledge-based processing has Internet access,
• - that a user information from the diagnostic and implementation center to the user,
• - that in the PC-based processing a collection, evaluation, knowledge-based linking, plausibility, simple visualization and corresponding recommendation are executed,
• - that knowledge-based processing will provide a context-based identification and aggregation of relevant data from medicines, experience and the latest findings from the Internet,
• That the user-based data acquisition processes corresponding input values, user profile and history via the user input,
• - that the diagnosis and execution center creates an automated diagnosis in comparison with the history of the user (actual target value comparison) and an electronic user file; Furthermore, a monitoring with alarm and forwarding to the doctor as well as advice to the doctor on a user information is performed.

Based an embodiment and the corresponding figures the inventive solution is described in its function. Showing:

1 an automatic diagnosis machine

2 an application example health check

3 an application example active check

4 an application example Wellnesscheck

5 an application example Fitness check.

In the following embodiment, Tele-managed Care (hereinafter referred to as TMC) is provided, which is a web-based sensor system for automated medical diagnostic check and evaluation. In the process, the vital or sensor values of the individual detection units become 10 to 28 the user of an automatic diagnosis machine 5 recorded, processed and secured via a secure internet connection 6 to a medical diagnostic and conduction center 60 transmitted for further evaluation. This innovative and integrative telemedicine solution reduces costs in the prevention and acute phases and increases the quality of care for the user. The system is used in both employee, fitness and wellness organizations, demographic aging and aging populations, as well as acute or chronic cases. The solution enables demand-oriented and user-oriented access to the integrated supply and the electronic user file.

The innovation in the TMC solution lies in the merging and system integration of various telemedicine modules, which are only available individually on the market, and in addition also not yet available modules for a medical diagnosis machine 5 connected to a diagnostic and conduction center 60 ,

The modular TMC solution is in the 1 shown. TMC integrates on-site in a modular diagnosis machine 5 based on digital sensor technology 10 to 28 The devices for the measurement of blood pressure, heart rate, ECG, temperature, weight etc., which have only been available on the market to date, are integrated in addition. Additionally, blood testing modules are integrated.

Via a digital signal forwarding 4 according to 1 , such as Bluetooth, wireless transmission, wired transmission, the data will be on-site through a PC-based processing 1 recorded, consolidated for quick and easy monitoring with appropriate masks and a secure Internet connection 6 transfer. The diagnostic automat 5 Can be offline with on-site evaluation as well as described online over the internet 6 with a diagnostic and conduction center 60 coupled, for evaluation with reference values from a knowledge-based processing 2 be fed and, as a result, a medical examination. The integrated TMC solution allows a large part of the examinations to be telemedically covered by a diagnostic check, such as a doctor's check-up.

The diagnostic automat 5 should be accessible to users in so-called Point of Health (POH). The diagnostic automat 5 is installed on-site in companies, for example, in rooms reserved for employees. Involvement of the company doctor or assistant increases the acceptance of operation and safety. Other points of health include pharmacies, retirement homes, mobile care, community nurses, fitness and wellness centers, etc. This approach through the point of health is the acceptance of the user enormously increased and the aspect data protection and security guaranteed. In the Diagnostics and Implementation Center 60 As already mentioned, the data are compared and evaluated with reference values or values stored by an initial assessment of the user on a knowledge database. In the case of critical deviations, a doctor becomes active and forwards appropriate measures via the user information 7 , for example, advice by phone, video and if necessary invitation to a doctor's visit, a. The TMC concept represents the first integral, innovative system solution for further health care reform. The automatic diagnosis system 5 It has a modular design and can be used in a mobile or stationary setting, from simple diagnostics to more complex blood-based diagnostic checks.

especially the 1 shows an automatic diagnosis machine 5 in connection with the secure internet connection 6 towards a diagnostic and implementation center 60 , The diagnostic automat 5 consists of a PC-based processing 1 , coupled with knowledge-based processing 2 and a user-based data collection 3 , This will be a user input 8th into the user-based data acquisition 3 carried out. The knowledge-based processing 2 is via internet access 9 linked to the knowledge databases and / or forums - in other words social networks - of the Internet.

In the PC-based processing 1 the collection, evaluation, knowledge-based linking, plausibility, simple visualization and recommendation are carried out.

In knowledge-based processing 2 Context-related investigations and the compression of all relevant data (medicines, empirical values, latest findings from the Internet) are fed in. In the user-based data acquisition 3 Input values, user profile and history are processed.

The individual complexes are connected to each other.

At the primary side of PC-based processing 1 is via a digital signal forwarding 4 , such as Bluetooth, wired or wireless transmission, each fitting a corresponding sensor.

This is for example from the 1 given by a possible connection of a sensor technology from an ECG measurement 10 , Blood pressure / pulse measurement 11 , Temperature measurement 12 , Blood / O ₂ measurement 13 , Cholesterol measurement 14 , Sugar measurement 15 , Lactate measurement 16 , Skin / hair measurement 17 , Measurement of oxidative stress 18 , Allergy measurement 19 and other measurements such as weight, body fat, pulmo, energy expenditure, bone strength, veins.

The out of the PC-based processing 1 in connection with knowledge-based processing 2 and the user-based data collection 3 The data collected will be via a secure internet connection 6 from the diagnosis machine 5 towards a diagnostic and implementation center 60 directed. This diagnostic and implementation center 60 creates an automated diagnosis in comparison with the history of the user (actual target value comparison) or an electronic user record. Furthermore, a monitoring with alarm and forwarding to a corresponding doctor is performed. A consultation about a user information 7 By phone, video or recommendation or other encouragement are given.

The 2 . 3 . 4 and 5 show corresponding application examples of the automatic diagnosis 5 with its practical handling.

It is in the 2 an application of the automatic diagnosis machine 5 presented for a health check. In particular, the sensor data are predetermined, such as, for example, an ECG measurement 10 , Blood pressure / pulse measurement 11 , Temperature measurement 12 , Blood / O ₂ measurement 13 , Cholesterol measurement 14 , Sugar measurement 15 , a venous test 27 , a body fat measurement 22 , Measurement of oxidative stress 18 , Allergy measurement 19 ,

The 3 shows an example of an active check, wherein the following medical measurement data from known systems in the automatic diagnosis 5 be entered: ECG measurement 10 , Blood pressure / pulse measurement 11 , Temperature measurement 12 , Blood / O ₂ measurement 13 , Cholesterol measurement 14 , Sugar measurement 15 , Weight measurement 28 , Pulmomessung 21 , Walk-away module 25 , Motion detector 26 and further measurements 20 ,

The 4 shows a use case for a wellness check. The following measurement results from the sensor technology of medical recording, such as ECG measurement 10 , Blood pressure / pulse measurement 11 , Skin / hair measurement 17 , Measurement of oxidative stress 18 , Allergy measurement 19 , Venous test 27 , Body fat measurement 22 and further input options 20 , detected.

The 5 shows an application example of a Fitnessscheck, wherein in the PC-based processing 1 following the ECG measurement 10 , Blood pressure / pulse measurement 11 , Lactate measurement 16 , Pulmomessung 21 , Body fat measurement 22 , Bone test measurement 24 and further measurements 20 be entered.

The illustrated embodiments of the automatic diagnosis machine 5 with its application variants can now be used in practice as needed and have the following advantages and expected benefits.

The use of the automatic diagnosis machine 5 Under the TMC brings savings through prevention and acute care, reduces the failure rate among workers, avoids expensive and costly treatments and increases the quality of care. The combination of fitness and wellness with prevention by TMC increases the attractiveness and acceptance of this target group and helps to prevent it at an early age. TMC thus helps to reduce the major cost drivers, such as circulatory diseases, digestive system, obesity, musculoskeletal, and to enable the entry into the health care market of integrated care, the disease management programs and the electronic user file.

The Users are made simpler, more comfortable and more efficient Treatment and prevention for prevention motivated. In order to connected is a further cost reduction. Overall, a more individual Treatment associated with a higher care and treatment Quality of life possible.

The Health insurance companies have a need for TMC, thereby saving costs Prevention / early detection of workers and Citizens and further increases in costs due to demographic developments attenuated and costs are reduced in acute cases.

The Companies use TMC for the further expansion of occupational health management: Reduction of absences / disabilities / disability / future Change in the company age structure.

Doctors / Hospitals / Medical Supply centers use TMC for cost reduction and livelihood as well as customer loyalty. There are more patients due to increased Precautionary check. In general, more transparency and a better result Patient care. Another example: in mobile use of TMC in an emergency can be avoided by avoiding a doctor's intervention Saved several hundred euros.

communities and politics are better at coping with demographic trends and the undersupply of rural areas and the growing shortage of doctors.

Pharmacies have an additional source of income through the use of the automatic diagnosis machine 5 with their customers.

It creates a greater customer loyalty for the pharmacy and increases sales for the normal business. Furthermore, from the result of the examination with the automatic diagnosis 5 Recommendations for preventative supplements are derived and sold by the pharmacist.

The Pharmaceutical industry is able based on user profiles to make tailor-made medicines.

1

PC-based processing

2

knowledge-based processing

3

user-based data collection

4

digital Signal transduction

5

diagnosis Machine

6

secure Internet connection

7

user information

8th

user input

9

Internet access

10

ECG measurement

11

Blood pressure / pulse measurement

12

temperature measurement

13

Blood / O ₂ measurement

14

cholesterol measurement

15

sugar Test

16

lactate

17

Skin / Hair measurement

18

oxidative stress measurement

19

allergy measurement

20

Further measurements

21

Pulmomessung

22

Body fat measurement

23

Energy expenditure measurement

24

Bone test measurement

25

Wegläufermodul

26

motion detector

27

veins test

28

weight measurement

60

Diagnosis- and implementation centers

QUOTES INCLUDE IN THE DESCRIPTION

This list The documents listed by the applicant have been automated generated and is solely for better information recorded by the reader. The list is not part of the German Patent or utility model application. The DPMA takes over no liability for any errors or omissions.

Cited patent literature

• - US 5375604 A [0003]
• US 5441047 A [0004]
• EP 0707825 A2 [0005]
• - DE 10145265 [0010]
• - DE 69414108 [0011]

Claims (9)

Diagnostic machine for a web-based sensor and evaluation system for automated medical and / or lifestyle diagnosis checking, which has a process unit, measuring means and a presentation means and which further input means for manual or digital input of information data and Internet access ( 9 ) for bidirectional communication with a central processing unit or a plurality of central units, characterized in that a diagnostic unit ( 5 ) from a PC-based processing ( 1 ) and this via a digital signal forwarding ( 4 ) on the part of the user-related measuring sensors ( 10 to 28 ) and the PC-based processing ( 1 ) with knowledge-based processing ( 2 ) and at the same time also with a user-based data acquisition ( 3 ), which is a user input ( 8th ), wherein the diagnostic device ( 5 ) via a secure internet connection ( 6 incoming, processed data into a diagnostics and execution center ( 60 ) feeds. Diagnosis machine according to claim 1, characterized in that the measuring sensors ( 10 to 28 ) known measuring means, such as ECG, blood pressure / pulse, temperature, blood / oxygen, cholesterol, sugar, lactate, skin / hair, oxidative stress, allergy, pulmonary, body fat, energy expenditure, bone test, Wegläufermodul, motion detector, venous test, weight, represents. Diagnosis machine according to claim 1, characterized in that the connected measuring sensors ( 10 to 28 ) via a digital signal forwarding ( 4 ) into PC-based processing ( 1 ), wherein in particular Bluetooth, wired or wireless transmission take place. Diagnostic machine according to claim 1, characterized in that the knowledge-based processing ( 2 ) Internet access ( 9 ) having. Diagnosis machine according to claim 1, characterized in that a user information ( 7 ) from the Diagnostic and Implementation Center ( 60 ) to the user. Diagnostic machine according to claim 1, characterized in that in the PC-based processing ( 1 ) a collection, evaluation, knowledge-based linking, plausibility, simple visualization and appropriate recommendation are executed. Diagnostic machine according to claim 1 and 4, characterized in that in the knowledge-based processing ( 2 ) a contextual identification and compilation of relevant data from drugs, experience and the latest findings from the Internet are fed. Diagnosis machine according to claim 1, characterized in that the user-based data acquisition ( 3 ) corresponding input values, user profile and history about the user input ( 8th ) processed. Diagnosis machine according to claim 1, characterized in that the diagnosis and execution center ( 60 ) creates an automated diagnosis in comparison with the history of the user (actual target value comparison) and an electronic user file; Furthermore, a monitoring with alarm and forwarding to the doctor and advice to the doctor on a user information ( 7 ) carried out.