DE202023100662U1 - A system for remote monitoring of high-risk patients using artificial intelligence - Google Patents

Abstract

A system (100) for remote patient monitoring, the system (100) comprising:
a monitoring device (102) including a microphone for detecting movement sounds of a person, an RF transmitter and at least two sensors selected from sensors to detect: air quality, sound level/quality, light quality and ambient temperature in the vicinity of the person determine;
an accelerometer (104) configured to capture movement information of the individual and generate movement data used in part to determine one or more conditions of the individual;
an artificial intelligence (AI) module (106) connected to the sensor configured for:
generate a plurality of questions to be asked of the patient by a treating physician based on the problem the patient is facing;
create a supervisory encounter with the patient in the physician's own voice and image; and
creating a selection and sequence of selected questions selected by the AI from the plurality of questions based on patient progression; and
a telemetry system (108) having a database (110) of individual IDs and in communication with the monitoring device and the accelerometer.

Description

FIELD OF THE INVENTION

The present invention relates to the field of artificial intelligence systems. In particular, the present invention relates to a system for remote monitoring of high-risk patients using artificial intelligence.

BACKGROUND OF THE INVENTION

Continuous patient monitoring for certain types of patient conditions is becoming a necessity to ensure timely intervention by a physician or health practitioner to initiate the correct medical procedure or timely administer the required medication. High-risk patient situations in the fields of cardiology, obstetrics, neurology and psychology are just a few examples where continuous remote patient monitoring becomes a necessity of patient care.

With the increasing cost of hospitalization for patients, health insurance companies and healthcare organizations are increasingly encouraging patients to shorten the length of hospital stay when hospitalization is absolutely necessary. With healthcare costs rising, certain types of treatments, including chemotherapy, antibiotic therapy, infusion therapy, and pneumonia treatment, are considered relatively safe, inexpensive home treatments.

However, there may be situations where patient involvement is not possible or patient intervention cannot be trusted but patient monitoring is still required. An example of such a situation is a cardiac patient. A reliable but costly method of monitoring in such situations is for a nurse or medical staff or doctor to meet the patient in person to perform the monitoring. However, if continuous monitoring is required, the nurse or medical staff or doctor must be physically present at the patient's site during monitoring. This will limit the number and type of patients that can be covered by a healthcare worker in any given time.

Artificial intelligence (AI) is slowly finding its way into the medical field. AI systems and techniques can be used to improve healthcare services - both at the doctor and patient levels to improve the accuracy of medical diagnoses, manage treatments, monitor patients in real time and integrate the various healthcare providers and healthcare services with each other - all while reducing the cost of medical services. However, some previous attempts to use artificial intelligence in medicine have failed. For example, IBM's Watson tried to apply artificial intelligence techniques to cancer therapy. Watson could not help with oncology treatments because Watson was not a linear artificial intelligence dictated purely by logic and was unable to analyze deviations in biological functions at different levels.

Some solutions to the above problem are offered by patient care monitoring services, which are sometimes provided by health maintenance organizations (HMO).

Statistics show that occupational health benefits accounted for about 5% of the payroll in 1980, compared to 14% in 1990. Part of occupational health benefits are patient monitoring costs and reducing these costs will be a very attractive proposition. In any case, it is important to note that avoiding clinically unnecessary outpatient visits can be a key to reducing healthcare costs if insurance coverage can be reduced and clinical integrity maintained.

It is known in the art to generate signals representative of a patient's condition and record them for later examination by a physician. An example of this is the well-known Holter heart monitor, in which a continuous 24-hour cardiogram of a patient is recorded by a monitor worn by the patient. Functionally, however, in such a monitoring system, a medical staff or doctor is not alerted by any emergency situation that might arise during the duration of the monitoring.

1. (i) ein Hochrisikopatient hört gerne die Stimme des Arztes während der Überwachungsinteraktion;
2. (ii) der Arzt ist dafür verantwortlich, rechtzeitig festzustellen, ob ein Termin erforderlich ist,
3. (iii) der Arzt sollte die Möglichkeit haben festzustellen, ob der Hochrisikopatient eine dringende Medikation oder eine Änderung der Behandlung benötigt,
4. (iv) Es ist oft unerwünscht, dass die Überwachung durch Patienteneingriff erfolgt, insbesondere in Situationen wie akuten Fällen von Bluthochdruck oder schweren perinatalen Fällen.
5. (v) es ist wünschenswert, den kontinuierlichen Einsatz einer Krankenschwester oder eines anderen Gesundheitspersonals zu minimieren, um den Patienten persönlich zu betreuen und die Überwachung durchzuführen,
6. (vi) es wäre unerwünscht und nachteilig, akustische Telefongeräte wie Modems zu verwenden, deren Verwendung für Fernüberwachungszwecke unwirksam und unwirtschaftlich wäre, und
7. (vii) es ist wünschenswert, wenn ein Arzt/eine Ärztin gleichzeitig und aus der Ferne eine große Anzahl von Hochrisikopatienten betreuen könnte, so dass ein ärztlicher Eingriff oder andere Abhilfemaßnahmen bei Bedarf und nicht früher eingeleitet werden könnten.

Underlying considerations in providing improved health surveillance services to high-risk patients include the facts that:

1. (i) a high-risk patient enjoys hearing the doctor's voice during the monitoring interaction;
2. (ii) the doctor is responsible for determining in good time whether an appointment is required,
3. (iii) the physician should be able to determine whether the high-risk patient has an urgent medication or a change in treatment required,
4. (iv) It is often undesirable for patient intervention to monitor, particularly in situations such as acute cases of hypertension or severe perinatal cases.
5. (v) it is desirable to minimize the continued use of a nurse or other health care worker to provide personal care and supervision to the patient,
6. (vi) it would be undesirable and disadvantageous to use acoustic telephone devices such as modems, which would be ineffective and uneconomical to use for remote monitoring purposes, and
7. (vii) It would be desirable if one doctor could attend to large numbers of high-risk patients simultaneously and remotely, so that medical intervention or other remedial action could be initiated when needed and not sooner.

Previous approaches by others to address this problem in general, as mentioned above, have been to use an intermediary (visiting nurse or similar representative) to visit the patient and take the physical data (temperature, pulse, blood pressure, fetal blood pressure), heart monitor, glucose levels, etc.) and report these results to the doctor's office by mail or phone. This means that only the recorded physical data is preserved. The physical data must still be viewed by the doctor in order to assess his patient. And in turn, each patient requires another level of human intervention to monitor the patient. Healthcare software services such as Healthdyne® Inc. use a nurse to transmit the patient's data and then their software evaluates the patient's health status. Both of these methods are costly because of the human intervention of a nurse who visits each patient.

This is not the same as a doctor himself, speaking to each of his high-risk patients, assessing their need for attention while receiving the data from those patients' monitors.

US6976958B2 discloses a method and apparatus for health and disease management that combines patient data monitoring with a wireless internet connection. The health-related data is transmitted by the WWD to a server using standard Internet protocols and can be integrated into various operating systems for portable or wireless devices, particularly those with enhanced capabilities for passing images and visual data.

US20210365815A1 discloses optimizing and/or personalizing activities for a user through artificial intelligence and/or virtual reality.

There is a need for an improved patient monitoring system, including method and apparatus, that is both patient-friendly and physician-friendly and increases the quality of patient care without increasing clinically unnecessary patient visits. In addition, such a system must be accurate, reliable, use standard telephone lines, be easy to maintain, and accommodate future upgrades, additions, and changes.

Therefore, there is a need to develop remote health monitoring of high-risk patients without patient intervention and using artificial intelligence.

The technical advances disclosed by the present invention overcome the limitations and disadvantages of existing and conventional systems and methods.

SUMMARY OF THE INVENTION

The present invention relates generally to a system for remotely monitoring high-risk patients using artificial intelligence.

An object of the present invention is to develop a system for remote monitoring of high-risk patients.

Another object of the present invention is to use artificial intelligence (AI) to analyze the multiple questions to create a selection of parsed questions based on a progressing patient response.

Yet another object of the present invention is to record patient information, including patient data, medical history, and other considerations determined by a treating physician to be relevant to the treatment of an afflicted patient.

Yet another object of the present invention is to provide interactive visual and audio monitoring with the patient in the to create the doctor's own voice without the use of a modem.

• eine Überwachungsvorrichtung, die ein Mikrofon zum Erfassen von Bewegungsgeräuschen einer Person, einen HF-Sender und mindestens zwei Sensoren enthält, die aus Sensoren ausgewählt sind, um:
  • Luftqualität, Schallpegel/-qualität, Lichtqualität und Umgebungstemperatur in der Nähe der Person zu bestimmen;
• einen Beschleunigungsmesser, der dazu konfiguriert ist, Bewegungsinformationen des Individuums zu erfassen und Bewegungsdaten zu erzeugen, die teilweise verwendet werden, um einen oder mehrere Zustände des Individuums zu bestimmen;
• ein Modul für künstliche Intelligenz (KI), das mit dem Sensor verbunden ist und konfiguriert ist für:
  • eine Vielzahl von Fragen zu erzeugen, die dem Patienten von einem behandelnden Arzt zu stellen sind, basierend auf dem Problem, mit dem der Patient konfrontiert ist;
  • eine überwachende Begegnung mit dem Patienten in der eigenen Stimme und im eigenen Bild des Arztes schaffen; und
  • Erstellen einer Auswahl und Folge ausgewählter Fragen, die von der KI aus den mehreren Fragen ausgewählt werden, basierend auf fortschreitender Patientenantwort; und
  • ein Telemetriesystem mit einer Datenbank individueller IDs und in Kommunikation mit der Überwachungsvorrichtung und dem Beschleunigungsmesser.

In one embodiment, a system for remote patient monitoring, the system comprising:

• a monitoring device that includes a microphone for detecting movement sounds of a person, an RF transmitter, and at least two sensors selected from sensors to:
  • determine air quality, sound level/quality, light quality and ambient temperature in the vicinity of the person;
• an accelerometer configured to capture movement information of the individual and generate movement data used in part to determine one or more conditions of the individual;
• an artificial intelligence (AI) module connected to the sensor and configured for:
  • generate a plurality of questions to be asked of the patient by a treating physician based on the problem the patient is facing;
  • create a supervisory encounter with the patient in the physician's own voice and image; and
  • creating a selection and sequence of selected questions selected by the AI from the plurality of questions based on patient progression; and
  • a telemetry system having a database of individual IDs and in communication with the monitoring device and the accelerometer.

In one embodiment, the accelerometer and monitoring device are configured to provide information configured to help determine sleep information of the patient.

In one embodiment, the monitoring device comprises an ID circuit with an ID memory containing a unique individual ID of the individual.

In one embodiment, the accelerometer is configured to cause the microphone to stop recording the movement sounds of the person when the movement sounds are not associated with the one or more states of the person, and to generate audio data based on recorded sounds that relate to the person's sleep information is directed individually.

In one embodiment, a communication module is configured to transmit monitoring data to a telemetry system, the monitoring data including an identifier uniquely associated with the monitoring device and one or more of the environmental data, the motion data, or the sound data.

In one embodiment, the AI module processes the received data to monitor physical characteristics to predict a biological function of the user and/or to determine a user's response to the one or more activity parameters of the regime.

In one embodiment, the AI module is configured to access a medication schedule, and wherein the one or more activity parameters of the regimen include a determined optimal dosage and/or time for the user to take medicine based on the medication schedule and condition to ingest the user's sleep.

In order to further clarify the advantages and features of the present invention, a more detailed description of the invention will be given with reference to specific embodiments thereof illustrated in the attached figure. It is understood that this figure only represents typical embodiments of the invention and should therefore not be considered as limiting its scope. The invention will be described and illustrated with additional specificity and detail with the accompanying figure.

character list

• 1 ein Blockdiagramm eines Systems zur Fernüberwachung von Patienten veranschaulicht.

These and other features, aspects and advantages of the present invention will be better understood when the following detailed description is read with reference to the accompanying figure, in which like characters represent like parts, wherein:

• 1 1 illustrates a block diagram of a system for remote patient monitoring.

Furthermore, those skilled in the art will recognize that elements in the figure are shown for simplicity and may not necessarily be drawn to scale. For example, the flowcharts illustrate the process in terms of the most salient steps involved to help in understanding improve aspects of the present disclosure. Furthermore, with respect to the construction of the device, one or more components of the device may have been represented in the figure by conventional symbols, and the figure may show only those specific details that are relevant to understanding the embodiments of the present disclosure around the figure not to be obscured with details that would be readily apparent to one of ordinary skill in the art benefiting from the description contained herein.

DETAILED DESCRIPTION:

For the purposes of promoting an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the figure and specific language will be used to describe the same. It should be understood, however, that no limitation on the scope of the invention is intended thereby, contemplating such changes and further modifications to the illustrated system, and such further applications of the principles of the invention illustrated therein, as would normally occur to one skilled in the art to which the invention relates.

Those skilled in the art will understand that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not intended to be limiting.

Reference throughout this specification to "an aspect," "another aspect," or similar language indicates that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the phrases "in one embodiment," "in another embodiment," and similar phrases throughout this specification may, but need not, all refer to the same embodiment.

The terms "comprising," "comprising," or other variations thereof are intended to cover non-exclusive inclusion such that a process or method that includes a list of steps includes not only those steps but may include other steps not expressly listed or any inherent in such process or procedure. Similarly, without further limitation, one or more devices or subsystems or elements or structures or components preceded by "comprises...a" does not exclude the existence of other devices or other subsystems or other elements or other structures or other components or additional devices or additional subsystems or additional elements or additional structures or additional components.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The system, methods, and examples provided herein are illustrative only and are not intended to be limiting.

Embodiments of the present invention are described below in detail with reference to the attached figure.

1 Figure 11 illustrates a block diagram of a system (100) for remote patient monitoring, the system (100) comprising: a monitoring device (102), an accelerometer (104), an artificial intelligence (AI) module (106). , a telemetry system (108), a database (110) and a communication module (112).

The monitoring device (102) comprising a microphone for detecting movement sounds of a person, an RF transmitter and at least two sensors selected from sensors to measure: air quality, sound level/quality, light quality and ambient temperature in the vicinity of the person determine. The monitor (102) includes an ID circuit with an ID memory containing a unique individual ID of the individual.

The accelerometer (104) is configured to capture movement information of the individual and generate movement data that is used in part to determine one or more conditions of the individual. The accelerometer (104) and the monitor (102) are configured to provide information configured to help determine sleep information of the patient.

The accelerometer (104) is configured to cause the microphone to stop recording the sounds of movement of the person when the sounds of movement are not associated with the one or more conditions of the person, and generates audio data based on recorded sounds corresponding to the Sleep information of the person are directed.

• eine Vielzahl von Fragen zu erzeugen, die dem Patienten von einem behandelnden Arzt zu stellen sind, basierend auf dem Problem, mit dem der Patient konfrontiert ist;
• eine überwachende Begegnung mit dem Patienten in der eigenen Stimme und im eigenen Bild des Arztes schaffen; Und
• Erstellen einer Auswahl und einer Folge ausgewählter Fragen, die von der KI aus den mehreren Fragen ausgewählt werden, basierend auf einer fortschreitenden Patientenantwort.

The artificial intelligence (AI) module (106) is connected to the sensor that is configured for:

• generate a plurality of questions to be asked of the patient by a treating physician based on the problem the patient is facing;
• create a supervisory encounter with the patient in the physician's own voice and image; And
• Creating a selection and sequence of selected questions that are selected by the AI from the multiple questions based on a patient's progressive response.

The AI module processes the received data on monitored physical characteristics to predict a biological function of the user and/or to determine a user's response to the one or more activity parameters of the regimen.

The AI module is configured to access a medication schedule and wherein the one or more activity parameters of the regime include a determined optimal dosage and/or time for the user to take medicine based on the medication schedule and the user's sleep state.

The artificial intelligence system is driven by an easy-to-use natural language interface that directs the voice system to send (“speak”) appropriate questions, recognize (“listen”) the patient's responses, update the patient database, and Telephone patients to conduct monitoring and inform the HMO facility of critical patient conditions. The information gained from patient calls is available to the doctor both in real time when the calls are made and on an ad hoc basis after the calls have been logged.

The telemetry system (108) having a database (110) of individual IDs and in communication with the monitoring device and the accelerometer.

The communication module (112) is configured to transmit monitoring data to a telemetry system, the monitoring data comprising an identifier uniquely assigned to the monitoring device and one or more of the environmental data, the movement data or the sound data.

In another embodiment of the present invention, a system for using telemetry data collected based on patient habit information or patient monitoring is provided. The patient information is selected from at least one of a patient's activities, behavior and habit information, and patient monitoring. A unique patient ID is sent from the monitor to a telemetry system. An alert is sent when the patient is in an awake state.

As a non-limiting example, a heart rate monitor captures the user's heart rate to accurately determine the user's activity level, behavioral patterns, and the like.

In various embodiments, the patient monitor has additional features. In one embodiment, the patient monitor changes color via infrared LEDs to precisely match the wearer's skin tone. This creates a seamless and more personal integration of the technology into the user's daily life. In this embodiment, there is skin contact with the patient monitor.

In another embodiment, the patient monitor remotely reminds of medication and can be used to administer medication. As a non-limiting example, the patient monitoring device can inject adrenaline. In one embodiment, the patient monitor has sleep pattern recognition based on movement and heart rate.

In various embodiments, the patient monitor uses algorithms to determine activity type, behavior patterns, and user habits based on collected data.

In one embodiment, the patient monitor uses the accelerometer information to enhance the heart rate monitor. As a non-limiting example, the patient monitor detects motion and speed. Adding this data improves the accuracy of the heart rate monitor and corrects misjudgments in vibration, noise and skin color.

The figure and the above description provide exemplary embodiments. Those skilled in the art will recognize that one or more of the elements described may well be combined into a single functional element. Alternatively, certain elements can be broken down into multiple functional elements.

Elements from one embodiment may be added to another embodiment. For example, orders of processes described herein may be changed and are not limited to the manner described herein. Furthermore, the actions of any flowchart need not be implemented in the order shown; also, not all actions have to be performed. Actions that are not dependent on other actions can also be performed in parallel with the other actions. The scope of the embodiments is in no way limited by these specific examples. Numerous variations, whether or not expressly stated in the description, such as differences in structure, dimensions and use of materials, are possible. The scope of the embodiments is at least as broad as indicated by the following claims.

Advantages, other benefits, and solutions to problems have been described above with respect to specific embodiments. However, the benefits, benefits, problem solutions, and components that may cause benefits, benefits, or solutions to occur or become more pronounced are not to be construed as critical, required, or essential features or components of any or all claims.

reference list

100

A system (100) for remote patient monitoring

102

monitoring device

104

accelerometer

106

AI module

108

telemetry system

110

Database

112

communication module

QUOTES INCLUDED IN DESCRIPTION

This list of documents cited by the applicant was generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.

Patent Literature Cited

• US 6976958 B2 [0012]
• US20210365815A1 [0013]

Claims (7)

A system (100) for remote patient monitoring, the system (100) comprising: a monitoring device (102) including a microphone for detecting movement sounds of a person, an RF transmitter and at least two sensors selected from sensors to detect: air quality, sound level/quality, light quality and ambient temperature in the vicinity of the person determine; an accelerometer (104) configured to capture movement information of the individual and generate movement data used in part to determine one or more conditions of the individual; an artificial intelligence (AI) module (106) connected to the sensor configured for: generate a plurality of questions to be asked of the patient by a treating physician based on the problem the patient is facing; create a supervisory encounter with the patient in the physician's own voice and image; and creating a selection and sequence of selected questions selected by the AI from the plurality of questions based on patient progression; and a telemetry system (108) having a database (110) of individual IDs and in communication with the monitoring device and the accelerometer. system after claim 1 wherein the accelerometer (104) and the monitoring device (102) are configured to provide information configured to help determine sleep information of the patient. system after claim 1 wherein the monitoring device (102) includes ID circuitry having an ID memory containing a unique individual ID of the individual. system after claim 1 wherein the accelerometer (104) is configured to cause the microphone to stop recording the sounds of movement of the individual when the sounds of movement are not associated with the one or more conditions of the individual, and generating audio data based on the recordings of sounds that target the individual's sleep information. system after claim 1 wherein a communications module (112) is configured to transmit monitoring data to a telemetry system, the monitoring data including an identifier uniquely associated with the monitoring device and one or more of the environmental data, the motion data, or the audio data. system after claim 1 wherein the AI module processes the received data to monitor physical characteristics to predict a biological function of the user and/or to determine a user's response to the one or more activity parameters of the regimen. system after claim 1 , wherein the AI module is configured to access a medication schedule, and wherein the one or more activity parameters of the regime include a specified optimal dosage and/or time for the user to take medicine based on the medication schedule and the user's sleep state.

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