Method and device for health management

Abstract

The present invention relates to to a computer-implemented method, a computer program, a non-transitory computer-readable storage medium, including instructions, a data processing device, and a health management device for predicting a potential effect and / or future concentration of an analyte in a bodily fluid as well as relates to a health management system for health management of a chronic disease. In order to improve health management, a subject is notified about an at least one upcoming future event and its potential effect on the analyte concentration in the bodily fluid of the subject.

Description

METHOD AND DEVICE FOR HEALTH MANAGEMENTTECHNICAL FIELD

[0001] The present invention relates to a computer-implemented method, a computer program, a non-transitory computer-readable storage medium, including instructions, a data processing device, and a health management device for predicting a potential effect and / or future concentration of an analyte in a bodily fluid as well as relates to a health management system for health management of a chronic disease.BACKGROUND

[0002] In the field of health management, in particular in the field of managing a chronic disease, like for example diabetes mellitus, a concentration of an analyte in a bodily fluid is indicative for a health state of the subject. According to the concentration and / or the presence of the analyte, appropriate measures may be taken to improve the respective health state of the subject. Among other measures, the concentration of an analyte the bodily fluid can be affected by providing the subject with a medicament or by altering the amount of medicament that is to be delivered to the subject. The amount of medicament to be provided to the subject depends inter alia on the current analyte concentration in the bodily fluid and the overall health state of the subject, including for example a level of activity of the subject and / or a level of nutrition of the subject and / or individual metabolism properties of the subject.

[0003] In a hitherto known health management the amount of medicament to be delivered to the subject for adjusting the analyte concentration in the bodily fluid of the subject is planned together with a healthcare professional taking into account the subject's individual characteristics, behavior and preferences. The amount of medicament is further adapted to the subject's needs by a controller that is configured to adapt the amount of medicament on basis of a current analyte value indicative of the current analyte concentration in the bodily fluid of the subject. However, any amount of medicament that is delivered to the subject needs some time to be absorbed by the body, and needs some time to take effect on the analyte concentration. Accordingly, these measures are prone to lag behind the actual needs of the subject, and there is a tendency to overcompensate a change in the analyte concentration in the bodily fluid of the subject by either delivering to much medicament or by delivering too little medicament.

[0004] Some health management methods are trying to adapt the amount of medicament to be delivered to the subject in advance of an upcoming event based on a fixed schedule and following a predetermined fixed adaptation of the medicament amount to be delivered in view of an upcoming event. However, since those adaptations are often done well-before an upcoming event those measures are often insufficiently reflecting a subject's health condition and day-to-day condition and schedule. In particular, since, once programmed, those measures are carried out by the controller without any further interaction by the subject. Accordingly, changes in the subject's schedule on short notice are often not considered, but needs to be retrospectively compensated.BRIEF SUMMARY

[0005] The above-mentioned problem underlying the present invention is addressed by methods, computer programs, and devices comprising the features of the independent claims. Embodiment, which might be realized in an isolated fashion or in any arbitrary combination are listed in the dependent claims.

[0006] As used in the following, the terms “have”, “comprise” or “include” or any arbitrary grammatical variations thereof are used in a non-exclusive way. Thus, these terms may both refer to a situation in which, besides the feature introduced by these terms, no further features are present in the entity described in this context and to a situation, in which one or more further features are present. As an example, the expressions “A has B”, “A comprises B” and “A includes B”, may all refer to a situation, in which, besides “B”, no other element is present in “A” (i.e. A situation in which “A” solely and exclusively consists of “B”) and to a situation, in which, besides “B”, one or more further elements are present in entity “A”, such as element “C”, elements “C” and “D”, or even further elements.

[0007] Further, it shall be noted that the terms “at least one”, “one or more” or similar expressions indicating that a feature or element may be present once or more than once typically will be used only once when introducing the respective feature or element. In the following, in most cases, when referring to the respective feature or element, the expressions “at least one” or “one or more” will not be repeated, non-withstanding the fact that the respective feature or element may be present once or more than once.

[0008] Further, as used in the following, the terms “preferably”, “more preferably”, “particularly”, “more particularly”, “specifically”, “more specifically” or similar terms are usedin conjunction with optional features, without restricting alternative possibilities. Thus, features introduced by these terms are optional features and are not intended to restrict the scope of the claims in any way. The invention may, as a person skilled in the art will recognize, be performed by using alternative features. Similarly, features introduced by “in an embodiment of the invention” or similar expressions are intended to be optional features, without any restriction regarding alternative embodiments of the invention, without any restrictions regarding the scope of the invention and without any restriction regarding the possibility of combining the features introduced in such way with other optional or non-optional features of the invention.

[0009] The term “bodily fluid” may refer to one or more of blood, interstitial fluid, urine, saliva, nasal swab, sweat or other types of body fluids. The term “analyte” refers to a substance or chemical constituent that is of interest in an analytical procedure and is also referred to as component or chemical species or target substance. Examples for analytes to be detected are biomarkers, pathogens, mycotoxins, cells nucleic acids, e.g. glucose, triglycerides, lactate, cholesterol or viruses. Without narrowing the scope, the inventions specifically will be described with respect to managing a blood glucose value of subject having diabetes mellitus.

[0010] The term “subject” as used herein refers to a mammal, in particular a human being or animal, suffering from a disease, the health management of which requires knowledge about an analyte concentration in a bodily fluid. The term “subject”, thus, refers to a person or animal who is about to attend an event during which and / or after which a level of an analyte concentration is of interest. The term “subject” is used synonymously to “user” of the respective method and / or system.

[0011] In a first aspect, a computer-implemented method of predicting a potential effect of at least one event of at least one event type on an analyte concentration in a bodily fluid of a subject, comprises the following steps: (a) receiving historic event data, including data on an effect of at least one event type affecting the analyte concentration in a bodily fluid of a subject; (b) receiving future event data, including information about time and date of at least one future event that is scheduled for the future and that is of an event type referred to in the historic event data; (c) determining a potential effect of at least one upcoming future event on the analyte in the bodily fluid of the subject based on the historic event data and the future event data; and (d) notifying about the upcoming future event and its potential effect on the analyte concentration in the bodily fluid of the subject, before start of the future event. Based on learnings about an impact of anevent of a specific event type on an analyte concentration in a bodily fluid during and / or after the event, a future, potential impact of a similar event of the same event type on the analyte concentration is anticipated. When being notified about the potential effect of the upcoming future event before start of the future event, there is the possibility to rethink measures for the health management in the light of the potential effect. In particular, when being notified the subject is reminded about the upcoming future event, which may have had scheduled a long time ago. Furthermore, the subject is reminded that the upcoming future event of a specific event type will affect the analyte concentration in the bodily fluid as similar events of the same event type did in the past. By being informed before start of the upcoming future event, there is a chance to intervene and adapt a health management plan. For instance, it could be that the subject already knows that he / she will not attend the upcoming event, and there is no need for any adaptions to a medication plan that may have been planned when scheduling the upcoming future event. On the other hand, if no change of a medication plan would have been scheduled, but the subject is indeed willing to attend the upcoming event, there is still a chance to make a respective adaption to the medication plan in advance of the upcoming event. For example, when being notified about the potential effect of the upcoming future event an already scheduled delivery of medicament can be cancelled, instead of retrospectively compensating a medicament amount that otherwise is delivered to the subject and that in the light of the scheduled event turns out to be superfluous or contra productive to the desired medicament therapy.

[0012] However, not every potential effect of an upcoming event may be of interest to the subject. For instance, in case the potential effect is low, the subject may prefer not to be informed about the potential effect of an upcoming future event on the analyte concentration in the bodily fluid of the subject. According to an embodiment, determining a potential effect of the at least one upcoming future event includes classifying the potential effect in a low potential effect, in case the potential effect is below a first, predetermined threshold, and / or classifying the potential effect in a high potential effect, in case the potential effect is above a second, predetermined threshold, wherein the second, predetermined threshold is higher than the first, predetermined threshold, wherein notifying about the at least one upcoming future event and its potential effect on the analyte concentration in the bodily fluid of the subject is omitted in case the potential effect is a low potential effect. The first and / or second threshold are predetermined and may be adapted by the subject, if needed. The second threshold can be equal to the first threshold. Thepotential effect can be classified more granular by predetermining more thresholds, if needed. Furthermore, for each class of potential effect a separate rule can be assigned whether notifying about the at least one upcoming future event and its potential effect is to be omitted or how to notify about the upcoming event and its potential effect. For instance, in case of a severe potential effect of an upcoming future event of a specific event type on the analyte concentration in the bodily fluid, notifying about the upcoming future event and its potential effect can include a warning to the subject about the relevance and / or level of the potential effect.

[0013] When being notified about the upcoming future event and its potential effect on the analyte concentration in the bodily fluid of the subject, in a variant, the method comprises requesting the subject to confirm the attendance of the upcoming future event. In a variant, the confirmation is given by an input of the subject and / or by evaluating the subject's current location in view of the future event location. Based on the subject's current location it can be determined whether the subject is on the way to the event location so that it is confirmed that the subject will attend the upcoming event. In addition or alternatively, according to an embodiment, the method further comprises the steps of (e) receiving a current analyte value indicative for the current analyte concentration in a bodily fluid of the subject from a sensor reading; and (f) predicting a future analyte value indicative for the analyte concentration during and / or after the at least one upcoming future event, before start of the future event, based on the current analyte value, the historic event data and the future event data. Since the future analyte value is indicative for analyte concentration during and / or after the at least one upcoming future event, an adaption of a medication plan or the respective health management plan can be adapted in view of the expected future analyte value. In particular, this provides the chance rethink measures that are already planned in advance of the execution of the planned measures so that the future analyte value is compensated to meet a predeterined target value or range.

[0014] According to an embodiment, the step of notifiying about the at least one upcoming future event and its potential effect is carried out a predetermined period of time prior to start of the upcoming future event. In a variant, the subject and / or care giver and / or follower and / or observer can define the predetermined period of time prior to start of the upcoming future event. In a further variant, the future events of different event types can be assigned to different predetermined periods of time according to a subject's preference. For instance, notifying about at least one upcoming future event of an event type “sports activity” can be carried out a longerperiod prior to start of the event than notifying about at least one upcoming future event of an event type “lunch invite”.

[0015] The term “historic event data” refers to data about one or more events that have taken place in the past, wherein the one or more events can be categorized into one or more event types. The historic event data includes at least information about an impact of at least one event type affecting the analyte concentration in a bodily fluid of a subject. For example, a sport activity event may have had an effect of lowering a blood glucose level of a subject. The effect may vary based on the type of sport activity, duration and intensity. On the other hand, a dinner or lunch invite may have had an effect of increasing a blood glucose level of a subject. The effect may vary based on the time, date and duration of the event as well as the location of the dinner or lunch invite. For example, a lunch on a Monday with a small group of persons may had a lower impact on the analyte concentration than a lunch on a Friday with a larger group of persons. However, due to a habits or preferences of an individual subject, events of the same event type can have a similar effect on the analyte concentration during and / or after the event. Thus, learning from an effect of an event of a specific event type can help to predict an impact of an upcoming future event on the analyte concentration of the subject. The effect of an event of a specific event type that had taken place in the past can include medicament values indicative of an amount of medication that had been delivered to the subject in order to adjust the analyte concentration in the bodily fluid of the subject to meet a target value or target range during and / or after the event. The historic event data can encompass data of only one subject or can encompass data from more than one subjects. By way of example, a non-exhaustive list of event types is a sport activity, an invite for a meal, a party, a social event, and a travel.

[0016] According to an embodiment, the historic event data includes data about an effect the at least one event of the at least one event type had on the analyte concentration in the bodily fluid of the subject in the past during and / or after the at least one event. Instead of relying on historic event data that includes data about an effect that at least one event of a specific event type had on the analyte concentration in bodily fluid of one or more stranger subjects, the effect is more individual, if the data about an effect of at least one event of a specific event type is based on experiences of a single subject, namely the current user of the method or system.

[0017] According to an embodiment, the effect the at least one event of the at least one event type had on the analyte concentration in the bodily fluid of the subject in the past during and / orafter the at least one event has been measured by a continuous analyte monitoring device. Frequently determining an effect on the at least one event of the at least one event type had on the analyte concentration in the bodily fluid during and / or after the event by a continuous analyte monitoring device, helps to create a database on basis of which an impact of a similar event will have on the analyte concentration in the bodily fluid can be determined. For instance, the effect a upcoming future event of a specific event type on the analyte concentration in a bodily fluid can be the average effect that one or more similar events of the same event type had on a subject, and which have been measured by a continuous analyte monitoring device. The term “continuous analyte monitoring device” refers to a device that is worn on the body of the subject, and that frequently determines the analyte concentration in the bodily fluid of a subject. For instance, a continuous analyte monitoring device can be a continuous glucose monitoring device. The effect of an event of a specific event type can be determined by an algorithms executed on an external device or executed on an internal device, i.e. on the same device the remainder steps of the methods are carried out.

[0018] The effect of the at least one event of at least one event type can be a single value or a time-dependent function. For instance, the effect of the at least one event in the beginning of the event can be different than the effect of the at least one event on the analyte concentration in course of the event or at the end of the event. Accordingly, the effect of the at least one event of at least one event type can be a time-dependent value.

[0019] In a further variant, the method includes a step of determining an event type based on information about time and date of a specific event as well as based on context information, such as for example which other events of the same or different event types are scheduled in the vicinity of the specific event. In addition or alternatively, the determination of the event type can be based on further information such as for example, the address of the event location, the current location of the subject, travel information, GPS information and / or type of the event location. The determination of an event type can include use of a pattern recognition algorithm.

[0020] The term “future event data” refers to data about one or more events that are scheduled to take place in the future. The future event data includes at least information about the type of event as well as time and date of an event that is scheduled to take place in the future. It can further include a duration of the event and / or an intensity level of the event. Further information included in the future event data can include an indication of the place at which the event isplanned to take place, e.g. address, GPS information, and / or type of facility. The future event data can be obtained from an electronic calendar entry.

[0021] The current analyte value is indicative for the current analyte concentration in a bodily fluid of the subject. The current analyte value is obtained from a sensor reading. For example, the current analyte value can be received via a user-interaction, e.g. a user manually inputting a current value, or via a data link from and to an analyte monitoring device. In case of being an analyte value indicative of a blood glucose level of the subject, the current analyte value can be obtained, for example, by the subject using a blood glucose meter or by the subject using a continuous glucose monitoring device. Based on the current analyte value, the historic event data and the future event data, the future analyte value is predicted. For instance, the future analyte value can be determined by subtracting the effect of a similar event of the same event type as provided by the historic event data from the current analyte value. Of course, a time-dependent variation of the effect as described above, can be considered when predicting the future analyte value.

[0022] Notifying the predicted future analyte can include a notification of the subject and / or a notification of another person, such as for example a caregiver, follower or an observer. A “caregiver” is a person that is involved in the setup and planning of the health management. A “follower” is a person that is interested in the health state of the subject, and may assist the subject in managing the health state. An “observer” is a person that is entitled to intervene the health management by confirming a change in a medicament delivery prior to its execution. Notifying a caregiver, follower or an observer can include sending a message to a remote device, such as a remote mobile device, smart phone, smart watch or tablet. Since some patients may not be able to take care of their medication and / or treatment plan so to improve the analyte concentration in the bodily fluid, if needed, a caregiver, follower or an observer can be informed so to be aware of the future analyte value for an upcoming event. Thereby the caregiver, follower or observer can intervene, if needed.

[0023] According to an embodiment, notifying about the predicted future analyte value before start of the at least one upcoming future event includes displaying the predicted future analyte value and / or displaying a carbohydrate value indicative of the amount of carbohydrates that would be needed to compensate the effect of the at least one upcoming future event so that the predicted future analyte value meet a predetermined analyte target value or range and / ordisplaying a medicament value indicative of the amount of medicament that would be needed to compensate the effect of the at least one upcoming future event so that the predicted future analyte value meet a predetermined analyte target value or range. The predicted future analyte value can be displayed, for example, on a screen of an external device or on a screen of an internal device, i.e. a device on which the remainder steps of the method are carried out. Displaying the predicted future analyte value helps to make the subject aware of the impact of the upcoming future event on the analyte concentration in the bodily fluid. In addition or alternatively, a corresponding carbohydrate value indicative of the amount of carbohydrates that would be needed to compensate the effect of the future event so to meet a predetermined analyte target value or range can be displayed. Further in addition or alternatively, a medicament value indicative of the amount of medicament that would be needed to compensate the effect of the at least one upcoming future event so that the predicted future analyte value meets a predetermined analyte target value or range is displayed. A change of an analyte concentration in a bodily fluid that is induced by a chronic disease is often tried to be compensated by altering the amount of a medicament that is dispensed to the subject. For example, in case of diabetes mellitus, a change in an analyte concentration in a bodily fluid, here: a change of the glucose concentration in blood, can be compensated by digesting an amount of carbohydrates resulting in an increase of the glucose concentration or by dispensing an amount of medicament, here: insulin, to the subject resulting in a decrease of the glucose concentration in the blood of the subject. Notifying the subject and / or caregiver and / or follower and / or observer about the predicted future analyte value allows any of those persons to alter any measure that is scheduled influencing the analyte concentration prior to the event to take place. In particular, when displaying a medicament value indicative of the amount of medicament that would be needed to compensate the effect of the at least one upcoming future event, allows, for example, the subject to provide the amount of medicament so that the predicted future value meet a predetermined analyte target value or range before start of the event. Furthermore, even in case, e.g. the subject, when being notified already knows that he / she will not attend the event, the subject will become aware of the possibility to alter the therapy so that the analyte concentration will meet a target range or value. Likewise, when being notified about the carbohydrate value indicative of the amount of carbohydrates that would be needed to compensate the effect of the at least one upcoming future event so that the predicted future analyte value meet a predetermined analyte target value or range, reminds thesubject to digest a corresponding amount of carbohydrates in good time before start of the event or reminds the subject to bring along the corresponding amount of carbohydrates that is needed for compensation to the upcoming event.

[0024] According to an embodiment, predicting a future analyte value indicative for the analyte concentration during and / or after the at least one upcoming future event, before start of the future event, includes determining whether the predicted future analyte value is below a target range, and / or whether the predicted future analyte value is within a target range, and / or whether the predicted future analyte value is above a target range. In health management it is desired that an analyte concentration is within a target range or close to a target value. An analyte concentration that is way below or above a target range or target value can have severe consequences for the subject. For instance, in case of diabetes mellitus, a hypoglycemic state can result in a diabetic coma, the same is true for a hyperglycemic state. Thus, informing the subject and / or caregiver and / or follower and / or observer in case the predicted future analyte value is below, above or within a predetermined target range or value is of interest to the subject. In particular, as a deviation from a target range or value is approached by the subject by changing a treatment plan. Accordingly, in an embodiment, notifying the subject about the predicted future analyte value before start of the at least one upcoming future event includes issuing a warning to the subject and / or caregiver and / or follower and / or observer in case the predicted future analyte value is indicative for a hypoglycemic state and / or includes issuing a warning to the subject and / or caregiver and / or follower and / or observer in case the predicted future analyte value is indicative of a hyperglycemic state.

[0025] According to an embodiment, the method further comprises (g) providing at least one indication of an operative command that upon confirmation is carried out to control operation of a medicament delivery device, wherein the medicament delivery device is configured to provide a medicament to affect the analyte concentration in the bodily fluid of the subject. The notification of the subject and / or caregiver and / or follower and / or observer about a predicted future analyte value helps the notified person to rethink medication or any measures having an impact on the analyte concentration in the bodily fluid. Thus, providing at least one indication of an operative command, allows the notified person to select or confirm an operative command to be carried out in order to influence the analyte concentration in view of the predicted future analyte value and the at least one upcoming future event. For instance, a touch button that whenbeing touched by the notified person may cancel an already scheduled medicament bolus, that otherwise would be delivered to the subject. The operative command can be adapted based on the future analyte value and a predetermined target range for the analyte value. An indication of an operative command can be transmitted to an additional device that is configured to carry out the operative command by controlling directly or indirectly a medicament delivery device.

[0026] The present invention further relates to a computer program comprising instructions which, when the program is executed by a computer, cause the computer to carry out the method and one or more of the variations of the method as described above and in any of claim 1 to claim 8. The computer program can be stored on a non-transitory computer-readable storage medium. In particular, the computer program can be provided to be downloaded from a server. Insofar, as in the foregoing as well as in the following detailed description of embodiments and claims of a computer-implemented method of predicting a future concentration of an analyte in a bodily fluid of a subject, the characteristics of the method are also applicable for the computer program comprising instructions which, when the program is executed by a computer, cause the computer to carry out the method. A “computer” here refers to any electronic machine or data processing device that can be programmed to carry out a program such as a computer implemented method. In particular, a computer device may be a personal computer or a mobile device, such as a mobile phone or tablet, or the like comprising one or more data processing devices such as one or more data processor.

[0027] The present invention further relates to a data processing device comprising means for carrying out the computer-implemented method of predicting a future concentration of an analyte in a bodily fluid of a subject as described above and as described in one or more of claims 1 to 8. A “data processing device" in the meaning of the present invention is a device that can be programmed to be programmed to carry out a program such as a computer implemented method. In particular, a data processing device may be a personal computer or a mobile device, such as a mobile phone or tablet or a remote control, or the like comprising one or more data processor.

[0028] The present invention further relates to a health management device comprising at least one processor, the health management device being configured, specifically by software configuration, for performing the computer implemented method of predicting a potential effect of at least one event of at least one event type of an analyte concentration in a bodily fluid of a subject as described above and as described for example in any one of claim 1 to claim 8. Inaddition to being configured to perform the computer-implemented method of predicting a potential effect of at least one event of at least one event type of an analyte concentration in a bodily fluid of a subject as described herein, the term “health management device” refers to any electronic device that can be programmed, specifically by software configuration, for example by installing a software application, for receiving analyte values indicative of an analyte concentration in a bodily fluid from a sensor configured to determine an analyte concentration in a bodily fluid and / or that can be programmed, specifically by software configuration, for transmitting instructions for controlling operation of a medicament delivery device to the medicament delivery device. An example of health management device is a remote control that is configured for communicating with a continuous analyte monitoring device and / or for communication with a medicament delivery device. The remote control can be realized by software application running on a consumer electronic device, such as for example a smart phone, smart watch, or tablet.

[0029] The health management device can further comprise a control module that is configured to directly or indirectly control operation of a medication delivery device. A control is "direct" when no further user interaction or additional device, despite the medication delivery device, is required to execute an operative command that is issued by the control module. A control of operation is “indirect” when a user interaction and / or additional device, despite the medication delivery device, is required to execute an operative command that is issued by the control module. An example of an “indirect control” is an operative command that is send from a remote control via a cloud server to the medication delivery device. Another example for an “indirect control” is an operative command that is generated by the control module and send to a healthcare professional for confirmation prior to its execution.

[0030] The health management device can be part of health management system. The health management system comprises a health management device as described herein, a medication delivery device that is configured to provide a medicament to affect the analyte concentration in a bodily fluid of the subject, and a continuous analyte monitoring device that is configured to continuously determine a concentration of the analyte in the bodily fluid of the subject, wherein the health management device is configured, specifically by software configuration, for example by installing a respective software application, to control operation of the medication delivery device and to receive analyte values indicative of an analyte concentration in the bodily fluidfrom the continuous analyte monitoring device. For example, the health management system can be a so-called automated insulin delivery system, wherein the health management device is a consumer electronic device, the medication delivery device is an insulin delivery device, e.g. an insulin pump, and the continuous analyte monitoring device is a continuous glucose monitoring device.BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

[0031] FIG. 1 illustrates an aspect of the subject matter in accordance with one embodiment of the computer-implemented method of predicting a future concentration of an analyte in a bodily fluid of a subject.

[0032] FIG. 2 illustrates an aspect of the subject matter in accordance with one embodiment of a health management system.

[0033] FIG. 3 illustrates an aspect of the subject matter in accordance with one embodiment of the computer-implemented method of predicting a potential effect of a future event of a specific event type on a concentration of an analyte in a bodily fluid of a subject.DETAILED DESCRIPTION

[0034] Figure 1 shows an aspect of the subject matter in accordance with one embodiment of the computer-implemented method of predicting a potential effect of at least one event of at least one event type of an analyte concentration in a bodily fluid of a subject. By way of example, the computer- implemented method is carried out by a data processing device 102. The data processing device 102 is a mobile computing device comprising a micro-processor and a display.

[0035] The computer-implemented method comprises a step (114) of receiving historic event data, including data on an effect of at least one event type affecting the analyte concentration in a bodily fluid of a subject. The historic event data is a predetermined set of data that has been created in the past by detecting an effect of an event of at least one event type on the analyte concentration in a bodily fluid of the subject.

[0036] The method further comprises a step (116) of receiving future event data, including information about time and date of at least one event that is scheduled for the future and that is of an event type included in the historic event data. The future event data can be for example provided by an electronic calendar.

[0037] The method further comprises a step (118) of receiving a current analyte value indicative for the current analyte concentration in a bodily fluid of the subject, wherein the current analyte value is provided by a sensor reading. For instance, the sensor reading is a reading from a continuous analyte monitoring device frequently determining the current analyte value in the bodily fluid of the subject.

[0038] The processor of the data processing device (102) is further configured to carry out the step (120) of predicting a future analyte value indicative for the analyte concentration in the bodily fluid of the subject during and / or after the at least one upcoming future event, before start of the event, based on the current analyte value and the historic event data. The effect of at least one event of a specific event type on the analyte concentration in the bodily fluid as indicated in the historic event data allows an assumption of the effect an upcoming future event of the same event type will have on the analyte concentration in the bodily fluid of the subject.

[0039] After the future analyte value have been predicted before start of the at least one upcoming future event, the processor is configured to carry out the step (122) of notifying the subject about the predicted future analyte value before start of the at least one upcoming future event. Thereby, the subject can rethink any already planned treatment, and to adapt the treatment, if needed, in view of the predicted future analyte value. Furthermore, the notification may remind the subject of the upcoming event and of any change which may be planned, but not reflected in the treatment plan.

[0040] The processor of the processing device (120) is further configured to provide, in step (124) an operative command that upon confirmation by for example the subject is carried out to control operation of a medicament delivery device, wherein the medicament delivery device is configured to provide a medicament to affect the analyte concentration in the bodily fluid of the subject.

[0041] Figure 2 shows an aspect of the subject-matter in accordance with one embodiment of a health management system 202. The health management system 132 comprises a health management device 130, a medication delivery device 128 and a continuous analyte monitoring device 126. The health management device 130 is configured, specifically by software configuration, to control operation of the medication delivery device 128 and to receive analyte values indicative of an analyte concentration in the bodily fluid of a subject from the continuous analyte monitoring device 126. Here, the health management device 130 is a smart phone onwhich a software application is installed. The software application is configured to carry out the steps of a computer-implemented method of predicting a future concentration of an analyte in a bodily fluid of a subject as described herein. The smart phone is in wireless communication with the medication delivery device 128, for example an insulin delivery device such as an insulin infusion pump. The health management device 130 is configured to control operation of the insulin delivery device 128 by sending instructions to the medication delivery device 128. Furthermore, the health management device 130 is configured to receive analyte values indicative of an analyte concentration in the bodily fluid from the continuous analyte monitoring device 126. The continuous analyte monitoring device 126 is configured to frequently determine an analyte concentration in the bodily fluid of the subject. By way of example, the continuous analyte monitoring device 126 is a continuous glucose monitoring device frequently determining a glucose concentration in the blood of the subject. However, the continuous glucose monitoring device 126 can comprise an analyte sensor which is inserted subcutaneously in the body of the subject so to measure an analyte concentration in the interstitial fluid of the body. Based thereon a blood glucose concentration of the subject can be determined. The continuous analyte monitoring device 126 is in wireless communication with the health management device 130.

[0042] The continuous analyte monitoring device 126 provides analyte values indicative of the analyte concentration in the bodily fluid of the subject. Analyte values that have been obtained during and / or after an event of a specific event type can be used to create historic event data, including data on an effect of at least one event of the event type affecting the analyte concentration in a bodily fluid of the subject.

[0043] Furthermore, the continuous analyte monitoring device 126 provides a current analyte value indicative of the current analyte concentration in the bodily fluid of the subject. Based thereon and based on the historic event data, the health management device 130 predict a future analyte value indicative for an analyte concentration in the bodily fluid of the subject during and / or after at least one upcoming future event of the same event type the historic event data is referring to as described herein in the context of the computer-implemented method of predicting a future analyte value. After predicting the future analyte value, the health management device 130 notifies the subject about the future analyte value before start of an already planned event of the same event type the future analyte value and the historic event data are referring to.

[0044] Figure 3 shows an aspect of the subject matter in accordance with one embodiment of the computer-implemented method of predicting a potential effect of at least one event of at least one event type on the analyte concentration in a bodily fluid of a subject.

[0045] The embodiment of the method of figure 3 is a variant of the embodiment of the method of predicting a potential effect of at least one event of at least one event type of an analyte concentration in a bodily fluid of a subject as shown and described in the context of Figure 1. Again, by way of example, the method of predicting a potential effect of at least one upcoming future event of at least one event type on an analyte concentration in the bodily fluid of the subject is carried out by a data processing device 102. The computer-implemented method comprises a step (114) of receiving historic event data, including data on an effect of at least one event type affecting the analyte concentration in a bodily fluid of a subject. The historic event data is a predetermined set of data that has been created in the past by detecting an effect of an event of at least one event type on the analyte concentration in a bodily fluid of the subject.

[0046] The method further comprises a step (116) of receiving future event data, including information about time and date of at least one event that is scheduled for the future and that is of an event type included in the historic event data. The future event data can be for example provided by an electronic calendar.

[0047] However, instead of receiving a current analyte value as described in the context of the embodiment of figure 1, here, there is no need of receiving a current analyte value as the method predicts the potential effect of an upcoming without predicting a future analyte value.

[0048] The method comprises the step 104 determining a potential effect of the at least one future event on the analyte concentration in the bodily fluid of the subject based on the historic event data and the future event data. For instance, the potential effect of the upcoming event is assumed to be similar to the effect a similar event of the same event type had on the subject in the past.

[0049] After determining the potential effect of the upcoming event, the method further comprises the step (106) of notifying about the upcoming event and its potential effect on the analyte concentration in the bodily fluid of the subject before start of the event, thereby providing the subject with a chance to intervene and adapt an already scheduled health management plan, if needed. In a variant, here the method further comprises the step (108) of requesting a confirmation by the subject that the subject still plans to attend the upcoming event. Uponreceiving the confirmation by the subject, an already scheduled health management plan for example including a delivery of a medicament to the subject in view of the upcoming event is executed as planned.LISTING OF DRAWING ELEMENTS102 data processing device104 step of determining a potential effect of an upcoming event106 step of notifying about the upcoming event and its potential effect108 step of requesting confirmation114 step of receiving historic event data116 step of receiving future event data118 step of receiving current analyte value120 step of predicting a future analyte value122 step of notifying about the future analyte value124 step of providing an indication of an operative command126 continuous analyte monitoring device128 medication delivery device130 health management device132 health management system

Claims

CLAIMSWhat is claimed is:

1. A computer-implemented method of predicting a potential effect of at least one event of at least one event type on an analyte concentration in a bodily fluid of a subject, comprising steps:(a) receiving historic event data (114), including data on an effect of at least one event of at least one event type affecting the analyte concentration in a bodily fluid of a subject;(b) receiving future event data (116), including information about time and date of at least one future event that is scheduled for the future and that is of an event type referred to in the historic event data;(c) determining a potential effect of at least one upcoming future event on the analyte concentration in the bodily fluid of the subject based on the historic event data and the future event data; and(d) notifying about the at least one upcoming future event and its potential effect on the analyte concentration in the bodily fluid of the subject, before start of the future event.

2. The computer-implemented method of claim 1, wherein determining a potential effect of the at least one upcoming future event includes classifying the potential effect in a low potential effect, in case the potential effect is below a first, predetermined threshold, and / or classifying the potential effect in a high potential effect, in case the potential effect is above a second, predetermined threshold, wherein the second, predetermined threshold is larger than the first, predetermined threshold, and wherein notifying about the at least one upcoming future event and its potential effect on the analyte concentration in the bodily fluid of the subject is omitted in case the potential effect is a low, potential effect.

3. The computer-implemented method of claim 1 or claim 2, wherein the method further comprises the steps of(e) receiving a current analyte value (118) indicative for the current analyte concentration in a bodily fluid of the subject from a sensor reading; and(f) predicting a future analyte value (120) indicative for the analyte concentration during and / or after the at least one upcoming future event, before start of the upcoming future event, based on the current analyte value, the historic event data and the future event data;wherein the step (d) of notifying about the at least one upcoming future event and its potential effect on the analyte concentration in the bodily fluid includes notifying about the predicted future analyte value (122) before start of the upcoming future event.

4. The computer-implemented method of any one of claim 1 to claim 3, wherein the historic event data includes data about an effect the at least one event of the at least one event type had on the analyte concentration in the bodily fluid of the subject in the past during and / or after the at least one event.

5. The computer-implemented method of claim 4, wherein the effect the at least one event of the at least one event type had on the analyte concentration in the bodily fluid of the subject in the past during and / or after the at least one event has been measured by a continuous analyte monitoring device (126).

6. The computer-implemented method of any one of claim 1 to claim 5, wherein notifying about the predicted future analyte value before start of the at least one upcoming future event includes displaying the predicted future analyte value and / or displaying a carbohydrate value indicative for the amount of carbohydrates that would be needed to compensate the effect of the upcoming future event so that the predicted future analyte value to meet a predetermined analyte target value or range and / or displaying a medicament value indicative of the amount of medicament that would be needed to compensate the effect of the upcoming future event so that the predicted future analyte value meet a predetermined analyte target value or range.

7. The computer-implemented method of any one of claim 1 to claim 6, wherein predicting a future analyte value indicative for the analyte concentration during and / or after the at least one upcomig future event, before start of the upcoming future event, includes determining whether the predicted future analyte value is below a target range, and / or whether the predicted future analyte value is within a target range, and / or whether the predicted future analyte value is above a target range.

8. The computer-implemented method of any of claim 1 to claim 7, wherein the method further comprises (g) providing at least one indication of an operative command (124) that upon confirmation is carried out to control operation of a medicament delivery device, wherein themedicament delivery device is configured to provide a medicament to affect the analyte concentration in the bodily fluid of the subject.

9. A computer program comprising instructions which, when the program is executed by a computer, cause the computer to carry out the method of any one of claim 1 to claim 8.

10. A data processing device (102) comprising means for carrying out the method of any one of claim 1 to claim 8.

11. A health management device (130) comprising at least one processor, the health management device (130) being configured, specifically by software configuration, for performing the computer implemented method of predicting a potential effect of at least one event of at least one event type of an analyte concentration in a bodily fluid of a subject according to any one of claim 1 to claim 8.

12. The health management device (130) according to claim 11, wherein the device further comprises a control module that is configured to directly or indirectly control operation of a medication delivery device (128).

13. The health management system (132) comprising a health management device (130) according to any of claim 11 to claim 12, a medication delivery device (128) that is configured to provide a medicament to affect the analyte concentration in the bodily fluid of the subject, and a continuous analyte monitoring device (126) that is configured to continuously determine an analyte concentration in the bodily fluid of the subject, wherein the health management device (130) is configured, specifically by software configuration, for example by installing a respective software application, to control operation of the medication delivery device (128) and to receive analyte values indicative of an analyte concentration in the bodily fluid from the continuous analyte monitoring device (126).