DK201770197A1 - A telemedicine system for remote treatment of patients - Google Patents
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- G—PHYSICS
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- 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
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- 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
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- 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
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/20—ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
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- 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
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/60—ICT specially adapted for the handling or processing of medical references relating to pathologies
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- 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
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/091—Measuring volume of inspired or expired gases, e.g. to determine lung capacity
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
- A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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Abstract
The present invention relates to a telemedicine system for remote treatment of at least one patient by at least one therapist, the telemedicine system comprising- a therapist-operated processing unit comprising a first graphical user interface and- a patient-operated processing unit comprising a second graphical user,wherein said therapist-operated processing unit and said patient-operated processing unit are adapted for mutually communication via a public communication network of treatment data using said graphical user interface. The system further comprises- means for accessing health data in a common health database, said health database comprising patient-specific data of the at least one patient,- means for modifying said treatment data communicated between said therapist operated processing unit and said patient-operated processing unit based on said health data.Thereby, by a telemedicine system as disclosed, treatment data communicated between the therapist-operated processing unit and the patient-operated processing unit are targeted by being modified according to the health data stored in the common health database. The modification may be carried out manually following a notification from the therapist-operated processing unit highlighting deviations from the patient-specific data. By the treatment data being targeted is meant that the treatment data presented to the patient are relevant, which is ensured through the modification being based on the health data comprised within the common health database.
Description
(19) DANMARK (10)
DK 2017 70197 A1
(12)
PATENTANSØGNING
Patent- og Varemærkestyrelsen (51) Int.CI.: A61B 5/00 (2006.01) G06Q 50/24 (2012.01) (21) Ansøgningsnummer: PA 2017 70197 (22) Indleveringsdato: 2017-03-21 (24) Løbedag: 2017-03-21 (41) Aim. tilgængelig: 2018-09-22 (43) Publiceringsdato: 2018-11-29 (71) Ansøger:
EWII Telecare A/S, Emil Neckelmanns Vej 15 A Fraugde, 5220 Odense SØ, Danmark (72) Opfinder:
Bettina Drefeld Eriksen, Læssøegade 114,5230 Odense M, Danmark (74) Fuldmægtig:
Chas. Hude A/S, H.C. Andersens Boulevard 33,1780 København V, Danmark (54) Titel: A telemedicine system for remote treatment of patients (56) Fremdragne publikationer:
US 2014/0316220 A1
WO 2013/185176 A1
US 2011/0118555 A1 US 2013/0231947 A1 US 2016/0042623 A1 (57) Sammendrag:
The present invention relates to a telemedicine system for remote treatment of at least one patient by at least one therapist, the telemedicine system comprising- a therapist-operated processing unit comprising a first graphical user interface and- a patient-operated processing unit comprising a second graphical user,wherein said therapist-operated processing unit and said patient-operated processing unit are adapted for mutually communication via a public communication network of treatment data using said graphical user interface. The system further comprises- means for accessing health data in a common health database, said health database comprising patient-specific data of the at least one patient,- means for modifying said treatment data communicated between said therapist operated processing unit and said patient-operated processing unit based on said health data.Thereby, by a telemedicine system as disclosed, treatment data communicated between the therapist-operated processing unit and the patientoperated processing unit are targeted by being modified according to the health data stored in the common health database. The modification may be carried out manually following a notification from the therapistoperated processing unit highlighting deviations from the patient-specific data. By the treatment data being targeted is meant that the treatment data presented to the patient are relevant, which is ensured through the modification being based on the health data comprised within the common health database.
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DK 2017 70197 A1
DK 2017 70197 A1
TITLE
A telemedicine system for remote treatment of patients
FIELD OF THE INVENTION
The present invention relates to a telemedicine system for remote treatment of persons in need of care. More specifically, the invention relates to remote treatment of persons in need of care by use of a common health database comprising person-specific data for targeting the information, treatment data, and treatment presented to the person in need of care by a therapist through a communications link between a set of processing units.
DESCRIPTION OF PRIOR ART
The health care sector is one of the largest expenses in a developed country. A significant part of these expenses are due partly to an aging demographic and partly to people suffering from chronic diseases. The need for periodic monitoring and/or care for an extended period, possibly lifelong, is characteristic for these demographics. Other, nonchronic or age-related cases may be in need of similar care, causing expenses to increase further. Another characteristic of the aforementioned demographics is the inevitable lack of bed capacity in institutions. This has the consequence that persons - having acute and/or non-acute needs - may be moved to aisles thus increasing the risk of contamination and decreasing the dignity of the hospitalised.
A large amount of the expenses may not be due to medicine or specific treatment, but rather due to healthcare personnel and/or therapists involved in the treatment. Thus, a major desire, meeting political goodwill, is therefore to move the person in need of care into his or her own home when eligible. Thereby, the bed capacity in institutions is less affected and means for decreasing costs may be found.
A well-known method for avoiding the need for hospitalisation in institutions, but still maintain monitoring and providing care, is by healthcare personnel visiting the person periodically. However, a major drawback of such a model is the need for personnel spending time on transportation and thereby, personnel expenses are remained almost unchanged when compared to hospitalisation in institutions.
Another method is by use of a telemedicine system, where a therapist is in remote communication with the person in need of care through a communications link, e.g.
DK 2017 70197 A1 through video and/or voice. Thereby, the person may be hospitalised at home, while receiving instructions by a therapist situated in an institution. Persons not requiring hospitalisation, but rather periodic control, may further avoid travelling to an institution if such procedures may be carried out through remote guidance by a therapist.
A known telemedicine system (WO13185176) discloses a health and security management apparatus for facilitating the management of health and security of a patient. The apparatus comprises a communications device for communicating between a patient residence and a remote location, where the patient may be remotely monitored, a health monitoring arrangement arranged to obtain health data on patient health, the communications device being arranged to communicate the health data to the remote location, and a security monitoring arrangement arranged to obtain security data on security of the patient.
A major drawback of known telemedicine systems is the lack of interaction with the person in need of care, when no live consultation is scheduled, and lack of optimised working procedures for therapists performing telemedicine consultations. Further, known telemedicine systems do not provide targeted information and complete functionality of the possibilities offered by technology.
SUMMARY OF THE INVENTION
An object of the present invention is to solve some of the aforementioned problems. More specifically, it is an object of the present invention to target the care and treatment of the person in need of care. Targeting is manifested through both presenting targeted guidance and treatment when in remote communication with a therapist, and by presenting targeted treatment data when such remote communication has not been established.
This is obtained by a telemedicine system for remote treatment of at least one patient by at least one therapist, the telemedicine system comprising
- a therapist-operated processing unit comprising a first graphical user interface and
- a patient-operated processing unit comprising a second graphical user, wherein said therapist-operated processing unit and said patient-operated processing unit are adapted for mutual communication via a public communication network of treatment
DK 2017 70197 A1 data using said graphical user interface. The system further comprises
- means for accessing health data in a common health database, said health database comprising patient-specific data of the at least one patient,
- means for modifying said treatment data communicated between said therapistoperated processing unit and said patient-operated processing unit based on said health data.
By a therapist is meant any health care person or care-giving person. The occupation of the therapist is dependent on the specific case, but they may be doctors, nurses, care assistants, psychologists, psychiatrists, or physiotherapists. Multiple therapists may participate in the remote treatment.
By a patient is meant any person in need of care or any person whose condition requires care, monitoring, or treatment, but where the condition is considered eligible for telemedicine. Conditions may be age-related, chronic diseases, cancer, mental disorders, or rehabilitation. For the person in need of care to be eligible for remote telemedicine, his/her condition may be evaluated by a relevant therapist. Multiple patients may participate in the remote treatment.
By a processing unit comprising a graphical user interface (GUI) is meant any electronic device capable of performing computational tasks thus establishing a communications link and presenting information in a graphical user interface, preferably a screen. Examples on processing units comprising a GUI being relevant for the present invention include tablets, phablets, smartphones, laptops, computers, and smartwatches. All said processing units are commercially available and may all be equipped with relevant modules such as cameras, speakers, and microphones.
By mutual communication is meant the existence of a communications link between the therapist-operated processing unit and the patient-operated processing unit, wherein information or data is transferred, and which may be turned off occasionally without loss of targeting. For example, the communications link may be turned off by centrally turning off the Internet capabilities of the processing unit. Maintaining targeting, when the communications link is turned off, may be provided by saving treatment data onto a server. Preferably, the communications link is based on a public communication network, e.g. a
DK 2017 70197 A1 public Internet technology, being either wireless or wired. The network may also be a local network or non-public.
By a database is meant any database adapted to write, store, and read data or information. The data and/or information may be related to the patient. Most preferably, a database management system is employed for the database to interact with other applications, such as processing units. Examples of database management systems include MySQL, Microsoft SQL Server, or Oracle Database. For example, the database management system may support the relational model as represented by the SQL language. In the present context, when referring to a “database”, any collection of data readable and writeable by a processing unit is meant.
By health data is meant any known health facts regarding the patient. The health data may be physical measures of the patient, including weight, height, body composition, heartbeat, body temperature, blood pressure, and the like. Further, the health data may be previous and/or present diseases, conditions, medicine usage, prescriptions, preferences, and other data stored in external databases. External databases may be already existing databases or logbooks in use in health institutions such as hospitals. Preferably, the common health database may read data from such external databases for improving the content of said common health database.
By treatment data is meant any data relevant to the patient, including new prescription medicine, relevant newsletters, publications, instructions for exercises, nutrition schemes, operating instructions for sensors, videos, or any other material having a relevance to the condition of the patient, such that said patient is kept informed. The treatment data may be communicated through text, video, or audio. Instructions and treatment advice given by the therapist orally is considered treatment data in the present context as well. The treatment data presented are based on the patient-specific data stored in the health database, preferably having been related to inputs by the therapist.
Thereby, by a telemedicine system as disclosed, treatment data communicated between the therapist-operated processing unit and the patient-operated processing unit is targeted by being modified according to the health data stored in the common health database. The modification may be carried out manually following a notification from the therapistoperated processing unit highlighting deviations from the patient-specific data. By the
DK 2017 70197 A1 treatment data being targeted is meant that the treatment data presented to the patient is relevant which is ensured through the modification being based on the health data comprised within the common health database.
For example, the modification of treatment data is based on a comparison between inputs, preferably treatment data in text, but may as well be orally presented, from the therapist and patient-specific data stored within the health database. The process of comparing inputs from the therapist to the patient-specific data stored in the health database may be carried out by relating input and patient-specific data word by word, abbreviation by abbreviation, number by number, or by any other comparison readily carried out by a computer. The computer may be the therapist-operated or the patient-operated processing unit. Advanced comparison algorithms may be employed as well. Use of abbreviations for designating conditions is well known within the health sector. With the inputs and the patient-specific data being related, software within the processing unit may decide whether the inputs are relevant to the condition of the patient. Decision may be based on predefined settings or may be incorporated through artificial intelligence. Following the above procedures, targeted treatment data is generated which may be presented to the patient through the second graphical user interface.
The means for accessing health data in the common health database could be a processing unit programmed to read patient-specific data in a database, e.g. via a patient ID. In one embodiment, it could be the therapist-operated processing unit which is further programmed to read this data, but as an alternative, a dedicated processing unit could be included for reading the data.
The means for modifying treatment data communicated between said therapist-operated processing unit and said patient-operated processing unit are based on said health data. These means could be a processing unit enabling presentation of patient-specific health data on a graphical user interface of the therapist-operated processing unit and an input device such as a microphone, mouse, keyboard, or touch screen enabling the therapist to amend the treatment data based on the health data before communication.
Treatment data is to be understood as any data between the patient and the therapist relating to the treatment of the patient. This data could be shared via writing, audio, video etc.
DK 2017 70197 A1
In an embodiment, the system further comprises means for comparing treatment data to be communicated from said therapist-operated processing unit to said patient-operated processing unit with health data in said common health database.
Thereby, it is ensured that recommendations/input set forth by the therapist are in accordance with known health data of the patient stored in the common health database, such that no recommendations contradict known health data. The means may comprise programmed computer algorithms embodied in a processing unit for comparing text and/or numbers. For example, the comparison may be word by word, number by number, or abbreviation by abbreviation. More advanced computer algorithms may be employed, such as artificial intelligence software or machine learning, thereby increasing the quality of the comparisons.
In an embodiment, said means for comparing comprises means for deciding based on a predefined comparison criterion whether said treatment data should be communicated or a warning should be given to the therapist via said therapist-operated processing unit.
Thereby, the system automatically controls whether the recommendation set forth by the therapist is in accordance with pre-set values or scenarios in the common health database. Pre-set values may be a guidance interval or known contradictions, such that the recommendation is not unhealthy or unrealistic. Unhealthy recommendations may include the prescription of medicine contradicting other medicine already prescribed. Unrealistic recommendations may be to perform an exercise not physically possible for the patient, e.g. due to lack of motion ability. Thereby, when such recommendations are set forth by the therapist, the system may produce a warning on the first graphical user interface of the therapist-operated processing unit, thereby requiring confirmation by the therapist before communicating such treatment data to the patient. Via artificial intelligence software and/or machine learning, pre-set values may be based on previous recommendations set forth in other cases, or the entire comparison and control may be improved gradually during consecutive use of the system.
In an embodiment, said means for comparing comprises means for suggesting alternative treatment data to said therapist based on said health data in said common health database.
DK 2017 70197 A1
Thereby, working procedures are simplified for the therapist, and the patient experiences an increased targeting. For instance the treatment data may be the therapistrecommended prescription of medicine contradicting already prescribed medicine known from the common health database. Following the comparison of the two medicines, the system may suggest an alternative to the therapist-recommended prescription, thereby easing the working procedure and optimising the treatment of the patient through the knowledge of said patient’s condition and needs. Other examples include the comparison between a therapist-recommended video and the knowledge stored in the health database. If the system finds the therapist-recommended video irrelevant to the patient based on the health data stored in the common health database, said system may have access to alternative videos, e.g. through an online video library or videos shared to other patients.
In an embodiment, said first graphical user interface of said therapist-operated processing unit comprises two sections, a first section enabling the therapist to review treatment data to be communicated to said patient and a second section, wherein data from said common health database are provided to said therapist.
Thereby, the working-procedure of the therapist is eased, since all relevant information and data is presented in the same window. Thus, the therapist may communicate more easily with the patient since the treatment data and health data are comprised in the same window, such that fewer interruptions in the communication occur due to the therapist having trouble finding the relevant health data in the first graphical user interface.
In an embodiment, said second graphical user interface of said patient-operated processing unit comprises at least two sections, a first section partly enabling the patient to receive treatment data communicated to said patient and partly enabling visual contact to the therapist, and a second section, wherein patient-specific health data is presented based on health data stored in the common health database.
Thereby, treatment data is easily found by the patient. One of said sections may further be substituted by a live video connection to the therapist with a communications link based on an Internet technology. By dividing the second graphical user interface into sections, the presentation of health data and treatment data is eased. Further, the sections may be editable by the therapist or even by the patient, such that the second graphical user
DK 2017 70197 A1 interface may be targeted and designed individually thus increasing the targeting experience. By being editable, the therapist may even decide exactly what treatment data to present the patient.
In an embodiment, the treatment data is created and/or selected by the computer through artificial intelligence.
Thereby, the system, e.g. the therapist-operated processing unit, may take over parts of the work carried out by the therapist, thereby decreasing the workload and easing the working-procedures by automatically suggesting alternatives and/or predict future treatment data to present to the patient. Artificial intelligence may be artificial intelligence software installed on the therapist-operated processing unit, or it may be installed in a cloud service or on a server connected to the telemedicine system through a communications link, thereby accessing health data stored in the common health database and the inputs by the therapist or by the patient via the processing units. Artificial intelligence may be manifested as machine learning software, wherein the software increases the precision of suggestions gradually through learning the inputs and recommendations set forth by the therapist or others working on the system, such as developers.
In an embodiment, the therapist-operated processing unit and the patient-operated processing unit are both connected to a camera module and a microphone module for providing video and voice communication of treatment data between the at least one therapist and the at least one patient.
Thereby, the therapist and the patient may be in visual and audial contact during a live session or live consultation. A live session or live consultation may take place through the communications link established between the therapist-operated and the patient-operated processing units. Further, the processing-units may include speakers. Thereby, the therapist may guide and inspect the patient, thereby increasing the targeting and knowledge of the patient which may improve the treatment data presented to the patient. Visual and audial contact are known to improve the feeling of a consultation with a therapist despite being separated by distance.
In an embodiment, a sensor adapted for reading physiological data of said patient is
DK 2017 70197 A1 adapted to transmit data relating to a sensor signal to the said common health database via said patient-operated processing unit.
Thereby, physiological data of the patient may be transmitted data to the common health database, thereby increasing the amount of health data stored within said common health database. The sensor signal may be an electrical signal reflecting a physiological measure, said electrical signal being transmitted to the common health database via the patient-operated processing unit and the communications link. The ability to measure physiological measures of the patient may increase the knowledge of the patient, more specifically the patient’s condition or state of a disease. The physiological measures are readable by the therapist-operated processing unit, such that the therapist may decide future treatment which further improves the targeting of treatment data sent to the patient. The physiological data may be sent directly to the therapist-operated processing unit thus bypassing the common health database. Thereby, the response time may be lowered and the therapist may observe the measures in real-time, should the common health database be slow. The physiological data may be sent in parallel to both the common health database and the therapist-operated processing unit simultaneously.
In an embodiment, the sensor is adapted to record at least one of the following patientphysiological data: heartbeat, electrocardiography, oxygen saturation, lung capacity, or blood sugar levels.
Thereby, the sensor is able to record common physiological data/measures used to characterise the condition of a patient. The listed physiological data is characterised in that the data may be obtained without the presence of a therapist, but visual and audial contact through camera and microphone modules may be used by the therapist to guide the patient in the use. The physiological data to be obtained by a sensor in the present telemedicine system are not limited to the mentioned measures. Other physiological data may be weight, body composition, lengths relating to physical size, body temperature, or any other easily obtained measures.
In an embodiment, the sensor is operated by an authorised person.
By an authorised person is meant a person being educated in the correct use of the sensor. The person may be health care personnel, a therapist, or it may be a technician.
DK 2017 70197 A1
Thereby, the sensor reading and the health data thereby obtained may be regarded as being more reliable since the inexperienced patient is not involved in the reading. By being authorised, the person is trusted by the prescribing therapist. By the prescribing therapist is meant the therapist ordering the authorised person to collect the data or perform the measurements. The authorised person may perform the measurements at home with the patient. The authorised person is in communication with the common health database, such that he/she can communicate the measurements, readings, or sensor output to said common health database. The authorised person may be in communication with the common health database through a processing unit comprising a third graphical user interface. Said processing unit may have similar properties as the therapist and/or the patient operated processing unit. Alternatively, the authorised person may log in to the patient-operated processing unit and thereby access the common health database.
In an embodiment, treatment data are uploaded to a server, where it is saved prior to downloading onto the patient-operated processing unit.
Thereby, in case of lack of communications links, the treatment data may be uploaded from the health database or the therapist-operated processing unit and subsequently downloaded to the patient-operated processing unit when a communications link is established to the server. Further, this allows treatment data to be saved in a secure location as a backup. Such use of servers for uploading and downloading content is well known.
In an embodiment, the therapist is in simultaneous communication with at least two patients.
Thereby, said patients may receive the same treatment data. This may be advantageous in the case of rehabilitation, wherein the therapist may be physiotherapist giving instructions for exercises. When being in simultaneous communication with multiple patients, the common health database may take in patient-specific needs for all patients, such that treatment data may be targeted to each participant in the live consultation without compromising personal health details. The latter may be achieved through the use of filters, such that non-public treatment data is not disclosed to all participants.
LIST OF FIGURES
DK 2017 70197 A1
Fig. 1 shows a diagram depicting a preferred embodiment of the present invention.
Fig. 2 shows a diagram depicting another embodiment of the present invention.
Fig. 3 shows a diagram depicting the principle of multiple connections according to the present invention.
Fig. 4 shows a diagram depicting a third embodiment of the present invention.
Fig. 5 shows a graphical user interface suitable for the present invention.
DESCRIPTION OF DRAWINGS
Fig. 1 illustrates the principle of a preferred embodiment of the present invention. The telemedicine system comprises three main components; a therapist-operated processing unit T, a patient-operated processing unit P, and a common health database D. Said components are mutually connected using a communications link L via a public communication network based on an Internet technology. The communications link L may only be provided when needed for reducing costs or energy consumption. Further, the therapist-operated processing unit T is in communication with a first camera 11, a first microphone 12, a first speaker 13, and a first graphical user interface (GUI) 14. Likewise, the patient-operated processing unit T is in communication with a second camera 21, a second microphone 22, a second speaker 23, and a second GUI 24. The patient-operated processing unit P may for example be a tablet, whereby the second camera 21, the second microphone 22, the second speaker 23, and the second GUI 24 are all assembled into a single device. The therapist-operated processing unit T may be a computer, wherein similar options of assembling the first camera 11, the first microphone 12, the first speaker 13, and the first GUI 14, exist. Further, a sensor 25 may be connected to the patientoperated processing unit P. The sensor 25 is adapted to transmit, through the communications link L, a sensor signal to the common health database. The sensor signal may be any physiological measure or data relevant to the treatment. Said data is stored in the common health database D, wherein it is readable by the therapist-operated processing unit T. The data may be readable by the patient-operated processing unit P as well.
DK 2017 70197 A1
With reference to Fig. 1, the process of performing a remote telemedicine session is presented in the following. For simplicity, the specific case of a patient suffering from chronic obstructive pulmonary disease (COPD) is used, but the process may be applicable to other cases, treatments, and conditions. The process depicts the process from the beginning of a treatment period and the subsequent consultations between a therapist and a patient.
1. The common health database D is updated, preferably by the therapist, to contain health data regarding the patient, such as the condition of the disease, gender, age, physical measures, and/or present and/or previous physical conditions. The health data may be found in already existing databases, or they may be provided by the patient during an interview. Depending on the actual condition of the patient, a therapist may find him or her eligible for receiving telemedicine treatment.
2. When telemedicine treatment is found eligible for his or her condition, the patient receives a patient-operated processing unit P comprising a second GUI 24, and preferably a second camera 21, a second microphone 22, and a second speaker 23. The processing unit may be a tablet, such that said equipment is assembled into a single device.
3. In the case of COPD, the therapist may find it relevant to measure the patient’s lung capacity periodically using a sensor 25, such as a peak flow meter. Thus, the patient further receives such equipment capable of recording the lung capacity. Preferably, the sensor 25 is digital and connectable with the patient-operated processing unit P or directly to the common health database D. In case of other diseases or conditions, the sensor 25 may be adapted to measure other relevant physiological parameters.
4. The therapist receives access to a therapist-operated processing unit T comprising a first GUI 14 and preferably a first camera 11, a first microphone 12, and a first speaker 13. For simplicity, and since the therapist may consult multiple patients during a day, the therapist-operated processing unit T is a computer, such as a stationary computer, wherein large computational capabilities are achieved.
5. The therapist schedules remote telemedicine consultations in a calendar within the common health database D, and a reminder is automatically sent to both the patient-operated processing unit P and the therapist-operated processing unit T when a consultation is coming up. For example, the system may be set up to send
DK 2017 70197 A1 a reminder 24 hours before a consultation and immediately prior to a consultation. Due to the common health database D cooperating with the calendar, the therapist may immediately know from the first GUI 13 the condition of the patient he/she is to consult. Thereby, the therapist reduces the time needed for preparation before each consultation.
6. When a consultation is due, the therapist and the patient are both logged into the telemedicine system through their respective processing units T, P, and a mutual communications link L is established between the processing units T, P, and the common health database D. Preferably, video and voice is sent through the communications link L, such that the therapist and the patient can see and hear each other in their respective GUI’s 14, 24.
7. During the consultation, the therapist and the patient may discuss the condition of the disease, or the therapist may decide to perform a test of the lung capacity. The decision to carry out a test is related to the patient-specific data, such that it is ensured the test is relevant to the patient. If it is not found relevant, treatment data (e.g. oral instructions) is modified to abandon a test. For example, the patient may have had a recent lung transplant, making a test of lung capacity irrelevant at the specific time. Thereby, the patient receives controlled and targeted treatment data, such that risk of improper treatment is minimised.
8. When a test of the lung capacity is decided on and controlled by the common health database through comparison means, the therapist may guide and control the use of the sensor 25. Guiding and control is simplified due to the use of cameras 11, 21, speakers 13, 23, and microphones 12, 22. Alternatively, an authorised person may meet the patient at home, said authorised person operating and controlling the use of the sensor, such that the patient is not involved in the reading. Especially, the use of an authorised person for carrying out the readings may be useful in case of impaired patients or patients with special needs.
9. When a measurement of the lung capacity has been performed using the sensor 25, the sensor signal obtained is sent through the communications link L and stored in the common health database D. The sensor signal comprises the physiological data of the patient. Through the common health database D, the therapist may inspect the data, and relate to previous measurements for deciding upon further treatment. All data stored within the common health database D may be chosen to be displayed in the first GU114, and the therapist may further choose to display at least part of the data on the second GUI 24.
DK 2017 70197 A1
10. A new consultation may be scheduled in the common health database D, and steps 5-9 may be repeated.
The above procedure discussed a live consultation between a therapist and a patient. When no live consultation is taking place, the patient may be presented to relevant treatment data in the same section of the second GUI 24. Due to the therapist having knowledge of the condition of the patient through the common health database D, he or she may decide what treatment data is presented in the second GUI 24. Treatment data may for example comprise prescriptions, news, newsletters, videos, exercises, or similar data relevant to the treatment. Thereby, the presented treatment data is specifically targeted the patient’s condition.
Fig. 2 illustrates the principle of targeting treatment data to the person in need of care, when a live consultation is not taking place, using a telemedicine system as disclosed. The system disclosed in Fig. 2 comprises a news source N, the therapist-operated processing unit T, the common health database D, multiple communications links L, a server S, and the patient-operated processing unit P.
In the following, the process of targeting treatment data to the patient based on the data stored in the common health database D is presented with reference to Fig. 2.
1. The therapist becomes aware of news N relevant to a single patient or a group of patients. The therapist may become aware of the news due to his/her profession. The news N may also be news regarding prescription medicine or similar news relevant to the patient.
2. The therapist makes a look-up in the common health database D for finding patients relevant to the news N. The therapist-operated processing unit relates the news believed to be relevant to the at least one patient to the patient-specific data thus ensuring the treatment data presented to the at least one patient is relevant.
3. The therapist sends the news N either to a server S or directly to the patientoperated processing unit P. The news N is sent through the communications link L.
By sending the news N to a server S, a communications link L between the therapist-operated processing unit T and the patient-operated processing unit P is not required at all times, this means that the news N is downloaded to the patient
DK 2017 70197 A1 operated processing unit P from the server S, when a communications link L is established to said patient-operated processing unit P. This may be advantageous if the patient-operated processing unit P is turned off, and the server S further functions as a back-up. Downloading content from a server S is a well-known process in communication technology.
4. The patient may receive a notification in the second GUI 24 of the patient-operated processing unit P, the notification saying news N is available. Depending on the configuration described above, the news N is already downloaded, or it is immediately downloaded from the server S.
5. The patient is thereby supplied with news N specifically targeted his/her condition, and may act upon the news N.
Fig. 3 illustrates the principle of multiple connections. Cameras, microphones, speakers, GUI’s, and sensors have not been shown in this figure for simplicity. The therapistoperated processing unit T may connect remotely to multiple patient-operated processing units P1, P2, P3, P4, P5 using a communications link L. The connection may be one at a time, or the connection may be simultaneously between a group of patient-operated processing units P1-P5. The therapist-operated processing unit T and the patientoperated processing units P1-P5 are further in communication with the common health database D using a communications link L for targeting the treatment based on patientspecific health data stored within the common health database D. From the common health database, the therapist may look up patients suffering from a specific condition, thereby creating groups of patients. For example, the therapist may form a group of patients all suffering from COPD. Thereby, the therapist can easily target news to a larger group of patients. The grouping may be assisted by the processing unit having knowledge of all patients within the health database.
The possibility of the therapist-operated processing unit T being in simultaneous communication with multiple patient-operated processing units P1-P5 may be advantageous if the therapist is a physiotherapist presenting exercises for a rehabilitation programme, wherein multiple patients are to receive the same instructions. Either the patients P1-P5 may see each other alongside the therapist in their respective second GUI 24, or they may solely see the therapist in their second GUI 24.
Fig. 4 illustrates an extended embodiment of a telemedicine system as disclosed and described in Fig. 1. For similar features, connections, and elements, similar reference
DK 2017 70197 A1 numbers have been used as in Fig. 1. Within this embodiment, the common health database D is in further communication with an external database E and a news source N through a communications link L provided by an Internet technology. Further, an artificial intelligence software 40 is connected to the common health database D. The artificial intelligence processor 40 is a processor capable of performing computational operations autonomously by being based on e.g. machine learning. Within this extended embodiment, the common health database D preferably receives patient-specific health data automatically from external databases E. External databases E may be logbooks, records, journals, prescriptions, or other databases. News sources N may be any relevant source, wherein news, videos, or similar content may be published by independent news channels and/or authorities. A list of trusted news sources may be created by a therapist or similar authoritarian personnel. Using the artificial intelligence software 40, the common health database D may become autonomous in targeting the treatment data presented in the second GUI 24. Thus, the therapist does not need to be involved in the targeting of content at all times, but rather focused on the actual treatment during live consultations. Further, the use of artificial intelligence may reduce the workload of the therapist and ease the working procedures by taking over particular tasks. The remaining part of the telemedicine system of Fig. 5 is similar to other embodiments disclosed.
Fig. 5 illustrates a preferred assembly to be given a patient. The assembly is a tablet comprising the patient-operated processing unit P, the second camera 21, the second microphone 22, the second speaker 23, and the second GUI 24. The specific placement of the components and design depends on the tablet model. The second GUI 24 comprises a first content module 31 partly for communicating in video with a therapist through a communications link and partly for showing targeted treatment data when no live consultation is taking place. Thus, the first content module 31 is editable and depends on the use. The content shown in the first content module 31 is editable by the therapist such that targeted news may be shown there. A second 32 and a third content module 33 are for presenting further treatment data, such as health data, settings, or calendar. The content of these modules may further be editable by the therapist. The therapist may for example choose to provide the patient with an overview of the physiological data obtained through the treatment period, or the therapist may choose to provide the patient with a calendar module for easy overview of upcoming events/consultations.
DK 2017 70197 A1
REFERENCE NUMBERS
D Common health database
E External database
L Communications link
N News source
P Patient-operated processing unit
T Therapist-operated processing unit
First camera
First microphone
First speaker
First graphical user interface (GUI)
Second camera
Second microphone
Second speaker
Second GUI
Sensor
First content module
Second content module
Third content module
Artificial intelligence software
DK 2017 70197 A1
Claims (11)
1. A telemedicine system for remote treatment of at least one patient by at least one therapist, the telemedicine system comprising
- a therapist-operated processing unit comprising a first graphical user interface and
- a patient-operated processing unit comprising a second graphical user interface, wherein said therapist-operated processing unit and said patient-operated processing unit are adapted for mutually communication via a public communication network of treatment data using said graphical user interfaces characterised in that said system further comprises
- means for accessing health data in a common health database, said common health database comprising patient-specific data of the at least one patient,
- means for modifying said treatment data communicated between said therapistoperated processing unit and said patient-operated processing unit based on said health data.
2. A telemedicine system according to claim 1, wherein said system further comprises means for comparing treatment data to be communicated from said therapist-operated processing unit to said patient-operated processing unit with health data in said common health database.
3. A telemedicine system according to claim 2, wherein said means for comparing comprises means for deciding based on a predefined comparison criterion whether said treatment data should be communicated or a warning should be given to the therapist via said therapist-operated processing unit.
4. A telemedicine system according to claims 2-3, wherein said means for comparing comprises means for suggesting alternative treatment data to said therapist based on said health data in said common health database.
5. A telemedicine system according to claims 1-4, wherein said first graphical user interface of said therapist-operated processing unit comprises two sections, a first section
DK 2017 70197 A1 enabling the therapist to review treatment data to be communicated to said patient and a second section, wherein data from said common health database are provided to said therapist.
6. A telemedicine system according to claims 1-5, wherein said second graphical user interface of said patient-operated processing unit comprises at least two sections, a first section partly enabling the patient to receive treatment data communicated to said patient, and partly enabling visual contact to the therapist, and a second section, wherein patientspecific health data are presented based on health data stored in the common health database.
7. A telemedicine system according to claim 6, wherein the treatment data is created and/or selected by the computer through artificial intelligence.
8. A telemedicine system according to claims 1-7, wherein the therapist-operated processing unit and the patient-operated processing unit are both connected to a camera module and a microphone module for providing video and voice communication of treatment data between the at least one therapist and the at least one patient.
9. A telemedicine system according to any of the preceding claims, wherein a sensor adapted for reading physiological data of said patient is adapted to transmit data relating to a sensor signal to the said common health database via said patient-operated processing unit.
10. A telemedicine system according to any of the preceding claims, wherein the sensor is operated by an authorised person.
11. A telemedicine system according to claim 9, wherein said sensor is adapted to record at least one of the following patient-physiological data: heartbeat, electrocardiography, oxygen saturation, lung capacity, or blood sugar levels.
DK 2017 70197 A1
DK 2017 70197 A1
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