REMOTE HEALTH MONITORING SYSTEM AND METHOD FOR HOSPITALS AND CITIES

Abstract

A telehealth system for rescuing a user, which includes a central server, a transmission system, and peripheral device(s) for transmitting health-related user's data, including physiological parameter measurement(s), to the central server via the transmission system. The central server includes: a module receiving the health-related user's data; a memory for storing: the data received, a user's alert list, an instructions library, a physiological parameters library, and reference values/ranges for physiological parameters; and a processing unit for: comparing the physiological parameter measurement(s) with reference values/ranges in the physiological parameters library; determining at least one risk index from the comparison; determining a low, moderate, or high level for the risk index, and executing instruction(s) from the instruction list, including, for moderate or high risk levels, automatically sending a communication request to the user's alert list and, for no response, calling an emergency service or ordering an assistance service to fetch the user.

Claims

1-16. (canceled)

17. A telehealth system for rescuing a user in need thereof, the system comprising a central server, a transmission system and at least one peripheral device configured to continuously or intermittently transmit health-related user's data to the central server via the transmission system; the health-related user's data comprising at least one measurement of a physiological parameter; and the central server comprising: a module configured to receive the health-related user's data; a memory configured to store: the health-related user's data; a user's alert list comprising a plurality of recipient devices; a library of instructions comprising: sending a communication request to all the recipient devices in the user's alert list; triggering a call to an emergency service, ordering an assistance service to fetch the user; and a library of physiological parameters wherein a reference value or a reference range of values is associated with each physiological parameter; a processing unit configured to: compare the at least one measurement of a physiological parameter with the reference value or the reference range of values associated with said physiological parameter in the library; determine at least one risk index based on the comparison; determine a level for the at least one risk index, the risk index level being selected from a group consisting of: low, moderate, high; based on the risk index level, execute at least one instruction from the list of instructions, and for a moderate or a high risk level, the at least one instruction comprises automatically sending a communication request to all the recipient devices in the user's alert list and, in case of no response within a predetermined interval of time Δt, a call to an emergency service or an order to an assistance service to fetch the user.

18. The telehealth system according to claim 17, wherein the plurality of recipient devices in the user's alert list comprises: at least one user-side communication device; at least one communication device of a second subject designated by the user; the communication devices that respond to a vicinity criterion.

19. The telehealth system according to claim 18, wherein the vicinity criterion is: being connected to the same wireless network as the at least one user's peripheral device or the at least one user-side communication device; and/or being located within a predetermined distance from the user-side communication device at least one peripheral device, preferentially the predetermined distance is ranging between 0 meters and 500 meters.

20. The telehealth system according to claim 17, wherein the health-related user's data further comprise: an electronic medical record of the user and/or the user's answers to the questions of a questionnaire, the questionnaire comprising questions that are neutral to the user and questions that are generated by means of an algorithm based on the health-related user's data; and wherein the determination of at least one risk index is further based on the user's data in the electronic medical record and/or the user's answers to the questions of the questionnaire.

21. The telehealth system according to claim 20, wherein the electronic medical record comprises genetic factors and/or epidemiologic factors.

22. The telehealth system according to claim 17, wherein the physiological parameter is selected from a group comprising: oxygen saturation, respiratory rate, blood pressure, heart rate, temperature, weight, blood pressure, respiratory rate, blood oxygen saturation, pulse rate, heart rate variability, stroke volume, cardiac output, cardiac index, pulse pressure, systemic vascular resistance, ECG, mean arterial pressure, sweat level, skin temperature, body temperature, glucose level and wherein the risk index is selected from a group comprising: anaphylactic shock, stroke, heart failure, cardiovascular diseases, respiratory deficiency, sleep apnea, endocrinal disease, metabolic disease, infectious or parasitic diseases, digestive diseases, immune system diseases, nephrological disorders, sexually transmitted diseases, viral diseases, smoking addiction, drug use addiction, arterial hypertension, cancer, kidney diseases, gynecological diseases, neurodegenerative diseases, neurological diseases, psychiatric diseases, post-operative risk, circulatory system disease, sudden cardiac death, nutritional diseases or a risk of sudden death.

23. The telehealth system according to claim 17, wherein the processing unit is further configured to: in case of response to the communication request, classify said response as a rescue request response or a non-rescue request response; and for a rescue-request response, automatically trigger a call to an emergency service or an order to an ambulance service to fetch the user; for a non-rescue-request response, automatically send a second communication request to all the recipients in the user's alert list.

24. The telehealth system according to claim 17, wherein the predetermined interval of time Δt ranges between 10 and 60 seconds and wherein the predetermined interval of time Δt for a moderate risk index level is superior to the interval of time Δt for a high risk index level.

25. The telehealth system according to claim 17, wherein the list of instructions further comprises: sending an alert to a subset of devices selected from the user's alert list; generating a questionnaire; generating a medicine prescription; generating a medicine purchase order for the prescribed medicine; automatically delivering the prescribed medicine; generating a pre-medical evaluation report; generating a post-medical evaluation report; scheduling a user's consultation with a healthcare provider; sending a medication reminder to the user; sending an alert to a healthcare provider.

26. A computer-implemented method for rescuing a user in need thereof, the method comprising the following steps: a) measuring and/or collecting health-related data of a user via at least one peripheral device, the health-related data comprising at least one measurement of a physiological parameter; b) transmitting the health-related data from the peripheral device to a central server via a transmission system, the central server comprising a memory; c) storing, preferentially using a distributed ledger or blockchain technology, the health-related data in the memory of the central server; d) generating a user's alert list comprising a plurality of recipient devices; e) continuously or intermittently comparing the at least one measurement of a physiological parameter with a reference value or a reference range of values for said physiological parameter stored in a library; f) determining at least one risk index based on the result of the comparison step e) and on the user's health-related data; g) determining a level for the at least one risk index, the risk index level being selected from a group consisting of: low, moderate, high; based on the at least one risk index and on the risk index level, selecting at least one instruction from a library of instructions; wherein, for a moderate or high risk, the selected at least one instruction comprises automatically sending a communication request to all the recipient devices in the user's alert list and, in case of no response to the communication request within a predetermined interval of time Δt, a call to an emergency service or an order to an assistance service to fetch the user at a time.

27. The method according to claim 26, further comprising a step of b.2) evaluating a quality metrics of the at least one measurement of a physiological parameter by means of an artifact detection algorithm; and the step f) of determining at least one risk index is further based on the evaluated quality metrics.

28. The method according to claim 26, wherein the step of generating a user's alert list comprises: receiving as input information regarding at least one user-side communication device and at least one communication device of a second subject designated by the user; identifying neighbor devices based on a user's vicinity criterion; the preferred vicinity criterion being: identifying the communicating devices that are connected to the same wireless network as the at least one user's peripheral device or the at least one user-side communication device. automatically generating a user's alert list comprising, as recipients: the at least one user-side communication device; the at least one communication device of a second subject designated by the user and the identified neighbor devices.

29. The method according to claim 26, further comprising: repeating the steps a) to c) so as to obtain health-related data from a plurality of users; building, by means of a machine learning algorithm, a predictive model based on the data from a plurality of users.

30. The method according to claim 26, further comprising a step of inputting the health-related data of a user into the predictive model and obtaining as output a value predictive of a future clinical event of the user.

31. A computer program product for rescuing a user in need thereof, the computer program product comprising instructions which, when the program is executed by a computer, cause the computer to carry out the steps of the method according to claim 26.

32. A computer-readable storage medium comprising instructions which, when the program is executed by a computer, cause the computer to carry out the steps of the method according to claim 26.

Description

DESCRIPTION OF THE DRAWINGS

[0111] FIG. 1 is a flowchart illustrating the telehealth system of the present invention according to a first embodiment.

[0112] FIG. 2 is a flowchart illustrating the telehealth system of the present invention according to a second embodiment.