US20120290318A1

US20120290318A1 - Methods, Systems, and Computer-Readable Media for Disease Management

Info

Publication number: US20120290318A1
Application number: US13/557,755
Authority: US
Inventors: Ari Craine
Original assignee: AT&T Intellectual Property I LP
Current assignee: AT&T Intellectual Property I LP
Priority date: 2007-01-18
Filing date: 2012-07-25
Publication date: 2012-11-15
Also published as: US8265957B2; US20080177570A1

Abstract

Methods, systems, and computer-readable media provide for disease management. According to embodiments, a method for providing social interaction between a first handheld medical testing and monitoring device and a second handheld medical testing and monitoring device is provided. According to the method, at least one of a social networking profile and a diagnostic profile is received from the first handheld medical testing and monitoring device. A second user associated with the second handheld medical testing and monitoring device is selected based on the at least one of the social networking profile and the diagnostic profile. A user list at the first handheld medical testing and monitoring device is populated with a unique identifier enabling communication between a first user associated with the first handheld medical testing and monitoring device and the second user associated with the second handheld medical testing and monitoring device.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

The present application is a divisional of U.S. Ser. No. 11/778,695 entitled “Methods, Systems, and Computer-Readable Media for Disease Management,” filed Jul. 17, 2007, which claims priority to U.S. Provisional Ser. No. 60/881,081, filed on Jan. 18, 2007, each of which is incorporated herein by reference.

TECHNICAL FIELD

This application relates generally to the field of medical devices. More specifically, the disclosure provided herein relates to the field of medical devices for disease management.

BACKGROUND

Active disease management generally requires a constant exchange of information between a patient, the patient's family, a caregiver, and a health-care professional (e.g., a physician). The health-care professional may seek regular diagnostic information regarding one or more conditions. The patient, the patient's family, and/or the caregiver may seek feedback associated with any changes in the diagnostic information. Acquiring regular diagnostic information, however, generally presents a significant challenge, especially for a health-care professional. For example, the patient may not be able to visit the health-care professional at adequate intervals due to time and/or cost constraints. A handheld medical testing and monitoring device may provide a cost-effective means with which to ensure constant communication between the patient and the health-care professional. An exemplary handheld medical testing and monitoring device is ONETOUCH, which is manufactured by JOHNSON AND JOHNSON.
The handheld medical testing and monitoring device may be configured to acquire diagnostic data related to a given condition at a given interval. For example, a diabetes-related monitoring device, such as ONETOUCH, may test the blood glucose level of a patient by collecting blood via a lancet prick and testing the collected blood. After the handheld medical testing and monitoring device acquires the blood glucose level of the patient, the handheld medical testing and monitoring device may transmit the blood glucose level over a network to a remote computer where the data is analyzed by, for example, the remote computer and/or a health-care professional. Based on patient's blood glucose level, the health-care professional may provide feedback, such as updated care information, to the patient, the patient's family, and/or the caregiver. Therefore, with the handheld medical testing and monitoring device, the health-care professional may remotely gather regular diagnostic information from the patient. With the regular diagnostic information, the health-care professional may timely provide the patient, the patient's family, and/or the caregiver potentially life-saving feedback in response to changes in the patient's diagnostic information.

SUMMARY

Embodiments of the disclosure presented herein include methods, systems, and computer-readable media for disease management. According to a first aspect, a method for providing social interaction between a first handheld medical testing and monitoring device and a second handheld medical testing and monitoring device is provided. According to the method, at least one of a social networking profile and a diagnostic profile is received from the first handheld medical testing and monitoring device. A second user associated with the second handheld medical testing and monitoring device is selected based on the at least one of the social networking profile and the diagnostic profile. A user list at the first handheld medical testing and monitoring device is populated with a unique identifier enabling communication between a first user associated with the first handheld medical testing and monitoring device and the second user associated with the second handheld medical testing and monitoring device.
According to a second aspect, a system for providing social interaction between a first handheld medical testing and monitoring device and a second handheld medical testing and monitoring device is provided. The system includes a memory and a processor functionally coupled to the memory. The memory stores a program containing code for providing social interaction between a first handheld medical testing and monitoring device and a second handheld medical testing and monitoring device. The processor is responsive to computer-executable instructions contained in the program and is operative to receive at least one of a social networking profile and a diagnostic profile from the first handheld medical testing and monitoring device, determine a second user associated with the second handheld medical testing and monitoring device based on the at least one of the social networking profile and the diagnostic profile, and populate a user list at the first handheld medical testing and monitoring device with a unique identifier enabling communication between a first user associated with the first handheld medical testing and monitoring device and the second user associated with the second handheld medical testing and monitoring device.
According to a third aspect, a computer-readable medium having instructions stored thereon for execution by a processor to perform a method for providing social interaction between a first handheld medical testing and monitoring device and a second handheld medical testing and monitoring device is provided. According to the method, at least one of a social networking profile and a diagnostic profile is received from the first handheld medical testing and monitoring device. A second user associated with the second handheld medical testing and monitoring device is determined based on the at least one of the social networking profile and the diagnostic profile. A user list at the first handheld medical testing and monitoring device is populated with a unique identifier enabling communication between a first user associated with the first handheld medical testing and monitoring device and the second user associated with the second handheld medical testing and monitoring device.
Other systems, methods, and/or computer program products according to embodiments will be or become apparent to one with skill in the art upon review of the following drawings and detailed description. It is intended that all such additional systems, methods, and/or computer program products be included within this description, be within the scope of the present invention, and be protected by the accompanying claims.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram illustrating a glucose monitoring system, in accordance with exemplary embodiments.

FIG. 2 is a block diagram illustrating a handheld glucose monitor, in accordance with exemplary embodiments.

FIG. 3 is a block diagram illustrating an advertising system including the handheld glucose monitor 102, in accordance with exemplary embodiments.

FIG. 4 is a flow diagram illustrating a method for receiving targeted advertising at a handheld glucose monitor, in accordance with exemplary embodiments.

FIG. 5 is a block diagram illustrating a claims tracking system including the handheld glucose monitor 102, in accordance with exemplary embodiments.

FIG. 6 is a flow diagram illustrating a method for generating cost data related to a diagnostic profile of a user, in accordance with exemplary embodiments.

FIG. 7 is a block diagram illustrating a social networking system including a first handheld glucose monitor and a second handheld glucose monitor, in accordance with exemplary embodiments.

FIG. 8 is a flow diagram illustrating a method for providing social interaction between the first handheld glucose monitor and the second handheld glucose monitor, in accordance with exemplary embodiments.

DETAILED DESCRIPTION

The following detailed description is directed to methods, systems, and computer-readable media for disease management. In the following detailed description, references are made to the accompanying drawings that form a part hereof, and which are shown by way of illustration specific embodiments or examples.
For the sake of simplicity and without limitation, an invasive blood glucose monitor is illustrated in exemplary embodiments described herein. However, it will be appreciated by those of ordinary skill in the art that the described embodiments may be applicable for noninvasive blood glucose monitors, other suitable blood analyte monitors, and other suitable invasive and noninvasive medical testing and monitoring devices. Examples of other blood analyte monitors include, but are not limited to, monitors for testing cholesterol, triglycerides, and uric acid. Examples of other medical testing and monitoring devices include, but are not limited to, devices for testing and monitoring blood pressure, electrocardiogram (“ECG” or “EKG”) activity, and heart rate.
Referring now to the drawings, it is to be understood that like numerals represent like elements through the several figures, and that not all components and/or steps described and illustrated with reference to the figures are required for all embodiments. FIG. 1 is a block diagram illustrating a glucose monitoring system 100, in accordance with exemplary embodiments. The glucose monitoring system 100 includes a handheld glucose monitor 102, which is described in greater detail below. The handheld glucose monitor 102 is coupled to a glucose monitoring unit 104 via a network 106. According to exemplary embodiments, the handheld glucose monitor 102 is configured to collect a blood sample from a user 108 through, for example, a lancing device (not shown) on the handheld glucose monitor 102. After the blood sample is collected, the handheld glucose monitor 102 may process the collected blood sample to obtain a blood glucose level, which may then be transmitted to the glucose monitoring unit 104. According to exemplary embodiments, the glucose monitoring unit 104 is a computing device configured to receive blood glucose levels of the user 108 from the handheld glucose monitor 102 over the network 106. Communications between the handheld glucose monitor 102 and the glucose monitoring unit 104 may be encrypted to prevent an eavesdropper from accessing private medical information transmitted between the handheld glucose monitor 102 and the glucose monitoring unit 104.
As illustrated in FIG. 1, the handheld glucose monitor 102 includes a network adapter 110, an advertising module 112, a claims tracking module 114, and a social networking module 116. The network adapter 110 enables the handheld glucose monitor 102 to communicate with the glucose monitoring unit 104 over the network 106. Examples of the network adapter 110 may include, but are not limited to, a modem, a radio frequency (“RF”) or infrared (“IR”) transceiver, a telephonic interface, a bridge, a router, or a network card. The network 106 may include a wireless network such as, but not limited to, a Wireless Local Area Network (“WLAN”) such as a WI-FI network, a Wireless Wide Area Network (“WWAN”), a Wireless Personal Area Network (“WPAN”) such as BLUETOOTH, a Wireless Metropolitan Area Network (“WMAN”) such a WiMAX network, or a cellular network. Alternatively, the network 106 may be a wired network such as, but not limited to, a Wide Area Network (“WAN”) such as the Internet, a Local Area Network (“LAN”) such as the Ethernet, a wired Personal Area Network (“PAN”), or a wired Metropolitan Area Network (“MAN”). It will be apparent to one of ordinary skill in the art that the glucose monitoring unit 104 may also include a network adapter, such as the network adapter 110.
According to exemplary embodiments, the advertising module 112, which is described in greater detail with respect to FIGS. 3 and 4, enables the handheld glucose monitor 102 to receive targeted advertising, such as targeted advertising 308. In one embodiment, the targeted advertising 308 is displayed via a display (not shown) on the handheld glucose monitor 102. The targeted advertising 308 may be targeted based on an advertising profile, such as an advertising profile 302, of the user 108. The advertising profile 302 may include any suitable criteria of the user 108 including, but not limited to, the user's age, location, and health condition. In one embodiment, the user's location may be determined using a positioning device (not shown), such as a global positioning system (“GPS”) device, in the handheld glucose monitor 102. The targeted advertising 308 may provide a means by which the handheld glucose monitor 102 is subsidized, thereby making the handheld glucose monitor 102 more affordable for more users.
According to exemplary embodiments, the claims tracking module 114, which is described in greater detail with respect to FIGS. 4 and 5, enables the user 108 to track cost savings and/or increases in response to the improving or declining health condition of the user 108. In one embodiment, after the handheld glucose monitor 102 determines the blood glucose level of the user 108, the claims tracking module 114 may determine that the health condition of the user 108 has improved over a given period of time. In response to the health condition of the user 108 improving, the claims tracking module 114 may display real and/or potential cost data, such as cost data 506, to the user 108 via the handheld glucose monitor 102. In one embodiment, the cost data 506 is displayed via a display (not shown) on the handheld glucose monitor 102. The cost data 506 may include, but is not limited to, decreases in visits with the health-care professional, decreases in drug usage related to regulating blood glucose levels, and decreases in overall insurance costs related to the improving health condition of the user 108. In further embodiments, the claims tracking module 114 may be aided by diagnostic data provided by the glucose monitoring unit 104 over the network 106. For example, the glucose monitoring unit 104 may track the blood glucose levels of the user 108 over a period of time to determine whether the health condition of the user 108 has improved.
According to exemplary embodiments, the social networking module 116, which is described in greater detail below with respect to FIGS. 7 and 8, enables the user 108 to find targeted “buddies” (also known as “peers,” “contacts,” “friends,” and the like) from a social network of buddies including the user 108. Each buddy may be associated with a screen name or other unique identification (“ID”). A plurality of screen names may populate a buddy list with which the user 108 can use to communicate with buddies within the social network. In one embodiment, the social networking module 116 automatically finds at least one buddy based on a social networking profile, such as social networking profiles 702 a and 702 b, of the user 108. The social networking profiles 702 a and 702 b may include any suitable social criteria of the user 108 including, but not limited to, the user's age, location, and health condition. For example, the social networking module 116 may automatically find at least one buddy who is approximately the user's age, is within a given distance of the user's location, and shares at least one of the user's health conditions. In one embodiment, the user's location may be determined using a positioning device (not shown), such as a global positioning system (“GPS”) device, in the handheld glucose monitor 102. The social networking module 116 may enable the exchange of medical information, such as information related to living with diabetes, and non-medical information, such information related to the newest blockbuster movie.
It should be appreciated by those of ordinary skill in the art that two or more of the advertising module 112, the claims tracking module 114, and the social networking module 116 may be utilized in conjunction to provide additional capabilities to the user 108, in accordance with exemplary embodiments. In one example, the same profile containing information related to the user 108, such as the user's age, location, and health condition, may be used by the advertising module 112 for providing targeted advertising and by the social networking module 116 for finding targeted buddies. In another example, targeted advertising provided by the advertising module 112 to the user 108 may be provided to other users on the buddy list of the user 108. In yet another example, cost savings data provided to the user 108 via the claims tracking module 114 may be shared with other users utilizing the social networking module 116. Other implementations utilizing two or more of the advertising module 112, the claims tracking module 114, and the social networking module 116 will become apparent to those of ordinary skill in the art in view of the present disclosure.
FIG. 2 and the following discussion are intended to provide a brief, general description of a suitable computing environment in which embodiments of the handheld glucose monitor 102 may be implemented. While embodiments will be described in the general context of program modules that execute in conjunction with an application program that runs on an operating system on a computer system, those skilled in the art will recognize that the embodiments may also be implemented in combination with other program modules.
Generally, program modules include routines, programs, components, data structures, and other types of structures that perform particular tasks or implement particular abstract data types. Moreover, those skilled in the art will appreciate that embodiments may be practiced with other computer system configurations, including hand-held devices, multiprocessor systems, microprocessor-based or programmable consumer electronics, minicomputers, mainframe computers, and the like. The embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.
FIG. 2 is a block diagram illustrating the handheld glucose monitor 102, in accordance with exemplary embodiments. The handheld glucose monitor 102 includes a processing unit 202, a memory 204, an input interface adapter 206, an output interface adapter 208, and the network adapter 110, each of which is operatively connected to a system bus 210. The bus 210 enables bi-directional communication between the processing unit 202, the memory 204, the input interface adapter 206, the output interface adapter 208, and the network adapter 110. In further embodiments, the handheld glucose monitor 102 may be embodied within or coupled to any suitable portable computing devices including, but not limited to, laptop computers, personal digital assistants, cellular phones, and mobile media players configured to output audio, video, and other multimedia.
The processing unit 202 may be a standard central processor that performs arithmetic and logical operations, a more specific purpose programmable logic controller (“PLC”), a programmable gate array, or other type of processor known to those skilled in the art and suitable for controlling the operation of the server computer. Processing units are well-known in the art, and therefore not described in further detail herein.
The memory 204 communicates with the processing unit 202 via the system bus 210. In one embodiment, the memory 204 is operatively connected to a memory controller (not shown) that enables communication with the processing unit 202 via the system bus 210. The memory 204 includes the advertising module 112, the claims tracking module 114, and the social networking module 116 of FIG. 1. The advertising module 112 is described in greater detail below with respect to FIGS. 3 and 4. The claims tracking module 114 is described in greater detail below with respect to FIGS. 5 and 6. The social networking module 116 is described in greater detail below with respect to FIGS. 7 and 8. In exemplary embodiments, one or more of the advertising module 112, the claims tracking module 114, and the social networking module 116 are embodied in computer-readable media containing instructions that, when executed by the processing unit 202, perform a method as described in greater detail below with respect to FIGS. 4, 6, and 8, respectively. According to further embodiments, the advertising module 112, the claims tracking module 114, and the social networking module 116 may be embodied in hardware, software, firmware, or any combination thereof
By way of example, and not limitation, computer-readable media may comprise computer storage media and communication media. Computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, RAM, ROM, Erasable Programmable ROM (“EPROM”), Electrically Erasable Programmable ROM (“EEPROM”), flash memory or other solid state memory technology, CD-ROM, digital versatile disks (“DVD”), or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by the handheld glucose monitor 102.
The input interface adapter 206 receives data input from the user 108. The data may be input via any suitable input device, such as a keyboard or a stylus. The input devise may also be a medical testing device, such as a lancing device for collecting blood. The output interface adapter 208 outputs data to the user 108. The data may be output via any suitable output device, such as a display and a speaker. The input and output devices may be embodied within a single unit, such as a touch-screen display. The input and output devices may be embodied within or coupled to the handheld glucose monitor 102.
FIG. 3 is a block diagram illustrating an exemplary embodiment of an advertising system 300 including the handheld glucose monitor 102. As illustrated in FIG. 3, the handheld glucose monitor 102 includes the advertising module 112 described in FIGS. 1 and 2. The advertising module 112 includes the advertising profile 302 and a diagnostic profile 304 of the user 108. The advertising system 300 includes an advertising supply module 306. The handheld glucose monitor 102 is coupled to the advertising supply module 306 via the network 106. In one embodiment, the advertising supply module 306 is embodied within the glucose monitoring unit 104. In further embodiments, the advertising supply module 306 is separate from the glucose monitoring unit 104.
The advertising profile 302 may include any suitable advertising-related information about the user 108, such as the user's age, location, and health condition. The diagnostic profile 304 includes any suitable diagnostic data, such as the user's current and archived blood glucose levels, collected from the user 108 by the handheld glucose monitor 102, according to one embodiment. The archived blood glucose levels may include blood glucose levels collected within any suitable time frames.
In one embodiment, the advertising module 112 transmits the advertising profile 302 and the diagnostic profile 304 to the advertising supply module 306 over the network 106. In response to receiving the advertising profile 302 and the diagnostic profile 304, the advertising supply module 306 determines which advertisements to transmit to the user 108 based on the advertising profile 302 and the diagnostic profile 304. These selected advertisements are referred to herein as the targeted advertising 308. According to exemplary embodiments, the advertising supply module 306 transmits the targeted advertising 308 to the handheld glucose monitor 102 via the network 106. In one embodiment, the targeted advertising 308 is stored in the memory 204. The targeted advertising 308 may be output to the user 108 using any suitable output device, such as a display or a speaker, embodied within or coupled to the handheld glucose monitor 102.
In one embodiment, advertisers and/or marketers may configure one or more parameters associated with the advertising supply module 306. For example, the advertising supply module 306 may include parameters specifying which content in the advertising profile 302 and the diagnostic profile 304 that would trigger the advertising supply module 306 to transmit the targeted advertising 308 to the user 108 via the handheld glucose monitor 102. In one embodiment, the user may also configure one or more of the parameters. For example, the user may configure parameters to refuse advertising.
In one embodiment, the targeted advertising 308 is automatically provided to the user 108 via the handheld glucose monitor 102 without intervention from the user 108. Examples of the targeted advertising 308 include, but are not limited to, condition-related medical products, condition-related clothing, condition-related foods, and miscellaneous personal care items. For a diabetic, for example, the condition-related medical products may include glucose test strips and insulin, and the condition-related foods may include sugar-free and low-carbohydrate foods.
By automatically providing the targeted advertising 308 to the user 108, the handheld glucose monitor 102 may be financially supported by those advertisers and/or marketers providing the targeted advertising 308. For example, the advertisings and/or marketers may pay advertising fees for the advertising supply module 306 to transmit the targeted advertising 308 to the handheld glucose monitor 102. Those advertising fees may be used to subsidize the cost of the handheld glucose monitor 102.
FIG. 4 is a flow diagram illustrating a method 400 for receiving targeted advertising 308 at the handheld glucose monitor, in accordance with exemplary embodiments. According to the method 400, the advertising module 112 transmits (at 402) the advertising profile 302 and the diagnostic profile 304 to the advertising supply module 306. The advertising profile 302 may include any suitable advertising-related information about the user 108, such as the user's age, location, and health condition. The diagnostic profile 304 may include any suitable diagnostic data related to the user 108, such as the user's current and archived blood glucose levels, gathered by the handheld glucose monitor 102, according to one embodiment. The transmission of the advertising profile 302 and the diagnostic profile 304 may be initiated by the user 108 or automatically transmitted at given times or in response to given actions of the user 108.
According to exemplary embodiments, the advertising supply module 306 determines the targeted advertising 308 to transmit to the handheld glucose monitor 102 based on the advertising profile 302 and the diagnostic profile 304. In one example, the targeted advertising 308 may include businesses at or near the location of the user 108 provided in the advertising profile 302. In another example, the targeted advertising 308 may include medical products related to the diagnostic information provided in the diagnostic profile 304. The advertising module 112 receives (at 404) the targeted advertising 308 from the advertising supply module 306. The advertising module 112 outputs (at 406) the targeted advertising 308 to the user 108 via any suitable output device, such as a display or a speaker, embodied within or coupled to the handheld glucose monitor 102.
FIG. 5 is a block diagram illustrating an exemplary embodiment of a claims tracking system 500 including the handheld glucose monitor 102. The handheld glucose monitor 102 includes the claims tracking module 114 described in FIGS. 1 and 2. As illustrated in FIG. 5, the claims tracking module 114 includes a claims tracking profile 502 and the diagnostic profile 304. The claims tracking system 500 includes a cost data supply module 504. The handheld glucose monitor 102 is coupled to the cost data supply module 504 via the network 106. In one embodiment, the cost data supply module 504 is embodied within the glucose monitoring unit 104. In further embodiments, the cost data supply module 504 is separate from the glucose monitoring unit 104.
The claims tracking profile 502 may include any suitable claims tracking information about the user 108, such as the cost of office visits, the cost of medications, and other health-related costs. The health-related costs may be based on a current fee schedule or historic data based on what the user 108 paid in the past. The health-related costs may further be based on insurance-related costs, such as premiums, deductibles, and other out-of-pocket expenses. In one embodiment, the claims tracking profile 502 may include information regarding the insurance coverage (e.g., the name of the provider and the type of coverage) of the user 108. As previously described, the diagnostic profile 304 may include any suitable diagnostic data related to the user 108, such as the user's current and archived blood glucose levels, gathered by the handheld glucose monitor 102, according to one embodiment.
In one embodiment, the claims tracking module 114 transmits the claims tracking profile 502 and the diagnostic profile 304 to the cost data supply module 504 over the network 106. In response to receiving the claims tracking profile 502 and the diagnostic profile 304, the cost data supply module 504 determines the cost data 506 related to the user 108 based on the claims tracking profile 502 and the diagnostic profile 304 of the user 108. In one example, an improvement in the blood glucose level of the user 108 as shown in the diagnostic profile 304 may yield a decrease in the amount of drugs utilized by the user 108. Thus, depending on the information provided in the claims tracking profile 502, the decrease in the amount of drugs utilized by the user 108 may also yield a cost savings to the user 108. In another example, a worsening in the blood glucose level of the user 108 as shown in the diagnostic profile 304 may yield an increase in the amount of drugs utilized by the user 108. Thus, depending on the information provided in the claims tracking profile 502, the increase in the amount of drugs utilized by the user 108 may yield a cost increase to the user 108. According to exemplary embodiments, the cost savings and increase determined based on the claims tracking profile 502 and the diagnostic profile 304 are reflected in the cost data 506.
In one embodiment, the cost data supply module 504 transmits the cost data 506 to the handheld glucose monitor 102 via the network 106. In one embodiment, the cost data 506 is stored in the memory 204. The memory 204 may store the cost data 506 for any suitable time period. The cost data 506 may be output to the user 108 using any suitable output device, such as a display or a speaker, embodied within or coupled to the handheld glucose monitor 102. The cost data 506 output to the user 108 may include current cost data as well as historic cost data. By concurrently displaying the cost data 506 over an extended time period, the user 108 can easily view and compare fluctuations in health-related costs over the time period. The cost data 506 may be displayed in any suitable multimedia format, including, but not limited to, video, pictures, graphics, sound, and text.
The cost data 506 may include direct cost savings/increases and indirect cost savings/increases. Exemplary direct cost savings/increases may include, but are not limited to, a reduction or increase of emergency room (“ER”) visits, a reduction or increase in medical supplies, and a reduction or increase in treatment and medication costs. Exemplary indirect cost savings/increases may include, but are not limited to, reduction or increase in missed time at work and a reduction or increase in disability costs. In one embodiment, the cost data 506 is determined based on a single user, such as the user 108. In further embodiments, the cost data 506 is aggregated based on a plurality of users. The cost data 506 may be output along with national averages of data related to the cost data 506 to provide a comparison between the cost data 506 and the national averages.
FIG. 6 is a flow diagram illustrating a method 600 for generating cost data, such as the cost data 506, related to the diagnostic profile 304 of the user 108, in accordance with exemplary embodiments. A handheld medical testing and monitoring device, such as the handheld glucose monitor 102, collects (at 602) diagnostic data related to the user 108. In one embodiment, the collected diagnostic data is stored within the diagnostic profile 304. The handheld glucose monitor 102 may collect, for example, the current blood glucose level of the user 108. In one embodiment, the user 108 utilizes a lancing device (not shown) on the handheld glucose monitor 102 to draw blood for blood glucose testing. The claims tracking module 114 transmits (at 604) via the network 106 the claims tracking profile 502 and the diagnostic profile 304 to the cost data supply module 504.
In response to receiving the claims tracking profile 502 and the diagnostic profile 304, the cost data supply module 504 determines the cost data 506 related to the user 108 based on the claims tracking profile 502 and the diagnostic profile 304 of the user 108. The diagnostic profile 304 may indicate the health condition of the user. The claims tracking profile 502 may provide claims tracking information (e.g., the cost of office visits, the cost of medications, and other health-related costs). The cost data 506 may indicate, for example, a cost savings or a cost increase, based on the claims tracking profile 502 and the diagnostic profile 304. The claims tracking module 114 receives (at 606) the cost data 506 from the cost data supply module 504. The claims tracking module 114 outputs (at 608) the cost data 506 to the user 108 using any suitable output device, such as a display or a speaker, embodied within or coupled to the handheld glucose monitor 102.
FIG. 7 is a block diagram illustrating an exemplary embodiment of a social networking system 700 including a first handheld glucose monitor 102 a and a second handheld glucose monitor 102 b. As illustrated in FIG. 7, the first handheld glucose monitor 102 a includes a first social networking module 116 a, and the second handheld glucose monitor 102 b includes a second social networking module 116 b. The social networking system 700 further includes a social management module 704. The handheld glucose monitors 102 a and 102 b are coupled to the social management module 704 via the network 106. In one embodiment, the social management module 704 is embodied within the glucose monitoring unit 104. In further embodiments, the social management module 704 is separate from the glucose monitoring unit 104.
According to exemplary embodiments, the first social networking module 116 a includes the first social networking profile 702 a and a first diagnostic profile 304 a. The first social networking profile 702 a and the first diagnostic profile 304 a are associated with a first user 108 a. The second social networking module 116 b includes the second social networking profile 702 b and a second diagnostic profile 304 b. The second social networking profile 702 b and the second diagnostic profile 304 b are associated with a second user 108 b. The social networking profiles 702 a and 702 b may include medical information, such as insulin dosages of the users 108 a and 108 b, respectively, and non-medical information, such as hobbies of the users 108 a and 108 b, respectively. In one embodiment, the social networking profiles 702 a and 702 b may include similar information provided in the advertising profile 302 and the claims tracking profile 502, such as the users' ages, locations, health conditions, and health care costs. The first diagnostic profile 304 a includes diagnostic data about the first user 108 a collected by the first handheld glucose monitor 102 a. The second diagnostic profile 304 b includes diagnostic data about the second user 108 b collected by the second handheld glucose monitor 102 b. An example of diagnostic data collected by the handheld glucose monitors 102 a and 102 b includes the current blood glucose levels of the users 108 a and 108 b, respectively.
According to exemplary embodiments, the social management module 704 coordinates communications between a plurality of users, such as the users 108 a and 108 b, over the network 106. For example, the social management module 704 may coordinate communications between the first user 108 a and the second user 108 b via the first handheld glucose monitor 102 a and the second handheld glucose monitor 102 b, respectively. Exemplary communications may include, but are not limited to, text messages, electronic mail (“email”), photos, audio messages, and video messages. By incorporating a social networking component into the handheld glucose monitors 102 a and 102 b, the users 108 a and 108 b may enjoy a richer experience than simply testing their blood glucose levels.
In one embodiment, the first user 108 a is identified by a first buddy name or other unique identifier (“ID”), and the second user 108 b is identified by a second buddy name or other unique ID. The use of buddy names may enable the users 108 a and 108 b to communicate with each other anonymously. For example, if the first user 108 a desires to send a communication to the second user 108 b, the social networking system 700 may be configured such that the first user 108 a sends the communication to the second user 108 using only the second buddy name. That is, the second buddy name may hide personal information of the second user 108 b, such as the user's name, address, and phone number.
In one embodiment, when a user, such as the first user 108 a, desires to participate in the social networking system 700, the first user 108 a registers with the social management module 704. In one embodiment, the process for registering the first user 108 a includes choosing a buddy name and transmitting the first social networking profile 702 a and the first diagnostic profile 304 a to the social management module 704. In further embodiments, the first user 108 a may establish a new profile with the social management module 704 during the registration process or decide to send one or the other of the first social networking profile 702 a and the first diagnostic profile 304 a. In one embodiment, the social management module 704 searches for one or more other users on the network 106 based on the first social networking profile 702 a. The social management module 704 may search under any suitable criteria including, but not limited to, a similar medical condition, a similar location, and/or similar hobbies. In one embodiment, the social management module 704 searches the other users dynamically. For example, the social management module 704 may dynamically retrieve the second social networking profile 702 b and the second diagnostic profile 304 b from the second handheld glucose monitor 102 b to compare with the first social networking profile 702 a and the first diagnostic profile 304 a. In further embodiments, the social management module 704 searches a database containing data of the other users. For example, the database may be previously populated with the second social networking profile 702 b and the second diagnostic profile 304 b, so that a comparison may be made with the first social networking profile 702 a and the first diagnostic profile 304 a without dynamically retrieving the second social networking profile 702 b and the second diagnostic profile 304 b.
When the social management module 704 finds one or more users, such as the second user 108 b, with similar criteria to the first user 108 a, the social management module 704 populates a buddy list associated with the first user 108 a with the buddy name of the second user 108 b. To facilitate a more active social network, the social management module 704 may automatically populate the buddy list associated with the first user 108 a with at least one user, such as the second user 108 b.
If, for example, the second user 108 b matches the first user 108 a under the criteria utilized by the social management module 704, then the social management module 704 may populate buddy lists on the first handheld glucose monitor 102 a and the second handheld glucose monitor 102 b. The buddy lists may be accessible through input and output interfaces, such as a stylus and a display, on the handheld glucose monitors 102 a and 102 b. In one embodiment, each buddy name on the buddy list is associated with a buddy profile, which is associated with a user, such as the users 108 a and 108 b. For example, the first user 108 a may desire to share her location, medical condition, and the first diagnostic profile 304 a. If the first user 108 a is on the buddy list of the second user 108 b, then the second user 108 b may be able to view the buddy profile of the first user 108 a. In particular, the second user 108 b may be able to view the progress of the first user 108 a by accessing the first diagnostic profile 304 a. If the first diagnostic profile 304 a indicates that the health condition of the first user 108 a has improved, then the second user 108 b may send a communication of congratulations to the first user 108 a. If, on the other hand, the first diagnostic profile 304 a indicates that the health condition of the first user 108 a has not improved or worsened, then the second user 108 b may send a communication of encouragement to the first user 108 a. The communications sent between users, such as the users 108 a and 108 b, may be manually entered or selected from a plurality of pre-defined communications. By enabling the sharing of the diagnostic profile 304 between users, such as the users 108 a and 108 b, the social management module 704 may create a collaborative wellness network promoting behavioral modification.
FIG. 8 is a flow diagram illustrating a method 800 for providing social interaction between the first handheld glucose monitor 102 a and the second handheld glucose monitor 102 b, in accordance with exemplary embodiments. According to the method 800, the social management module 704 receives (at 802) the first social networking profile 702 a and the first diagnostic profile 304 a from the first handheld glucose monitor 102 a. The social management module 704 selects (at 804) the second user 108 b, who is associated with the second social networking profile 702 b and the second diagnostic profile 304 b. In one embodiment, the second user 108 b may be selected because of similarities between the first social networking profile 702 a and the second social networking profile 702 b, as well as similarities between the first diagnostic profile 304 a and the second diagnostic profile 304 b.
In one embodiment, the social management module 704 dynamically retrieves the second social networking profile 702 b and the second diagnostic profile 304 b from the second handheld glucose monitor 102 b to compare with the first social networking profile 702 a and the first diagnostic profile 304 a. In further embodiments, the first social networking profile 702 a and the first diagnostic profile 304 a are compared with a database that is previously populated with the second social networking profile 702 b and the second diagnostic profile 304 b.
The social management module 704 determines (at 806) whether second user 108 b has allowed the sharing of the second social networking profile 702 b and/or the second diagnostic profile 304 b. In one embodiment, the second user 108 b may decide which portions, if any, of the second social networking profile 702 b and the second diagnostic profile 304 b to share. For example, the second user 108 b may not want to share certain personal data.
If the second user 108 b has allowed sharing, the social management module 704 populates (at 808) a user list (e.g., a buddy list) at the first handheld glucose monitor 102 a with a unique identifier (e.g., buddy name), the second social networking profile 702 b, and the second diagnostic profile 304 b associated with the second user 108 b. If the second user 108 b has not allowed sharing, the social management module 704 populates (at 810) the user list at the first handheld glucose monitor 102 a with the unique identifier associated with the second user 108 b, but without the second social networking profile 702 b and the second diagnostic profile 304 b. The unique identifier may enable the first user 108 a to communicate with the second user 108 b via the first handheld glucose monitor 102 a. In further embodiments, in response to populating the user list at the first handheld glucose monitor 102 a of the first user 108 a, the social management module 704 populates a user list at the second handheld glucose monitor 102 b of the second user 108 b. For example, the user list at the second handheld glucose monitor 102 b may be populated with a unique identifier associated with the first user 108 a, the first social networking profile 702 a, and/or the first diagnostic profile 304 a associated with the first user 108 a may be populated in a user list at the second handheld glucose monitor 102 b depending on whether the first user 108 a has allowed or not allowed sharing.
Although the subject matter presented herein has been described in conjunction with one or more particular embodiments and implementations, it is to be understood that the embodiments defined in the appended claims are not necessarily limited to the specific structure, configuration, or functionality described herein. Rather, the specific structure, configuration, and functionality are disclosed as example forms of implementing the claims.
The subject matter described above is provided by way of illustration only and should not be construed as limiting. Various modifications and changes may be made to the subject matter described herein without following the example embodiments and applications illustrated and described, and without departing from the true spirit and scope of the embodiments, which is set forth in the following claims.

Claims

1. A method for providing cost data to a handheld medical testing and monitoring device, comprising:

receiving, from the handheld medical testing and monitoring device over a network, diagnostic data for a patient collected by the handheld medical testing and monitoring device;

receiving a claims tracking profile of health-related costs for the patient;

determining, by a computer, cost fluctuation data based on the diagnostic data and the claims tracking profile; and

upon determining the cost fluctuation data based on the diagnostic data and the claims tracking profile, transmitting the cost fluctuation data to the handheld medical testing and monitoring device over the network.

2. The method of claim 1, wherein receiving the claims tracking profile of health-related costs for the patient comprises receiving at least one of a cost of office visits and a cost of medications.

3. The method of claim 1, wherein receiving the claims tracking profile of health-related costs for the patient comprises receiving at least one of a current fee schedule that the patient pays for the health-related costs and historic data for the health-related costs that the patient previously paid.

4. The method of claim 1, wherein receiving the claims tracking profile of health-related costs for the patient comprises receiving at least one of insurance-related costs including premiums and deductibles, a name of an insurance provider, and a type of insurance coverage provided by the insurance provider to the patient.

5. The method of claim 1, wherein determining the cost fluctuation data based on the diagnostic data and the claims tracking profile comprises:

determining whether the diagnostic data indicates an improved health-related condition of the patient;

responsive to determining that the diagnostic data indicates the improved health-related condition of the patient, determining cost savings data based on the claims tracking profile;

determining whether the diagnostic data indicates a worsened health-related condition of the patient;

responsive to determining that the diagnostic data indicates the worsened health-related condition of the patient, determining cost increase data based on the claims tracking profile.

6. The method of claim 5, wherein determining the cost savings data based on the claims tracking profile comprises determining at least one of a reduction in emergency room visits, a reduction in medical supplies, a reduction in treatment and medication costs, an increase in missed time at work, and a reduction in disability costs; and

wherein determining the increase data based on the claims tracking profile comprises determining at least one of an increase in emergency room visits, an increase in medical supplies, an increase in treatment and medication costs, a decrease in missed time at work, and an increase in disability costs.

7. The method of claim 1, wherein transmitting the cost fluctuation data to the handheld medical testing and monitoring device over the network comprises transmitting current cost data of the health-related costs for the patient and historic cost data of the health-related costs for the patient to the handheld medical testing and monitoring device.

8. A system for providing cost data to a handheld medical testing and monitoring device, comprising:

a processor; and

a memory coupled to the processor, the memory comprising instructions that, when executed by the processor, cause the processor to perform a method comprising:

receiving a claims tracking profile of health-related costs for the patient;

determining cost fluctuation data based on the diagnostic data and the claims tracking profile; and

upon determining the cost fluctuation data based on the diagnostic data and the claims tracking profile, transmitting the cost fluctuation data to the handheld medical testing and monitoring device over the network

9. The system of claim 8, wherein receiving the claims tracking profile of health-related costs for the patient comprises receiving at least one of a cost of office visits and a cost of medications.

10. The system of claim 8, wherein receiving the claims tracking profile of health-related costs for the patient comprises receiving at least one of a current fee schedule that the patient pays for the health-related costs and historic data for the health-related costs that the patient previously paid.

11. The system of claim 8, wherein receiving the claims tracking profile of health-related costs for the patient comprises receiving at least one of insurance-related costs including premiums and deductibles, a name of an insurance provider, and a type of insurance coverage provided by the insurance provider to the patient.

12. The system of claim 8, wherein determining the cost fluctuation data based on the diagnostic data and the claims tracking profile comprises:

13. The method of claim 12, wherein determining the cost savings data based on the claims tracking profile comprises determining at least one of a reduction in emergency room visits, a reduction in medical supplies, a reduction in treatment and medication costs, an increase in missed time at work, and a reduction in disability costs; and

14. A computer-readable storage medium having instructions stored thereon for execution by a processor to provide a method for providing cost data to a handheld medical testing and monitoring device, the method comprising:

receiving a claims tracking profile of health-related costs for the patient;

15. The computer-readable storage medium of claim 14, wherein receiving the claims tracking profile of health-related costs for the patient comprises receiving at least one of a cost of office visits and a cost of medications.

16. The computer-readable storage medium of claim 14, wherein receiving the claims tracking profile of health-related costs for the patient comprises receiving at least one of a current fee schedule that the patient pays for the health-related costs and historic data for the health-related costs that the patient previously paid.

17. The computer-readable storage medium of claim 14, wherein receiving the claims tracking profile of health-related costs for the patient comprises receiving at least one of insurance-related costs including premiums and deductibles, a name of an insurance provider, and a type of insurance coverage provided by the insurance provider to the patient.

18. The computer-readable storage medium of claim 14, wherein determining the cost fluctuation data based on the diagnostic data and the claims tracking profile comprises:

determining whether the diagnostic data indicates an worsened health-related condition of the patient;

19. The computer-readable storage medium of claim 18, wherein determining the cost savings data based on the claims tracking profile comprises determining at least one of a reduction in emergency room visits, a reduction in medical supplies, a reduction in treatment and medication costs, an increase in missed time at work, and a reduction in disability costs; and

20. The computer-readable storage medium of claim 14, wherein transmitting the cost fluctuation data to the handheld medical testing and monitoring device over the network comprises transmitting current cost data of the health-related costs for the patient and historic cost data of the health-related costs for the patient to the handheld medical testing and monitoring device.