# US 2021/0241905 A1 · Integrated disease management system > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2021/0241905 A1 - Document ID: US20210241905A1 - Status: Published application - Kind: A1 - Application number: 16/340,980 - Filed: 2017-10-11 - Published: 2021-08-05 - Earliest claimed: 2016-10-12 - Assignees: Becton, Dickinson and Company - Applicants: Becton, Dickinson and Company - Inventors: Michael Hoar; Douglas McClure; Rita Saltiel-Berzin; Edward Liebowitz - Web page: https://patentgrep.com/patent/US20210241905A1 ## CPC - A61B 5/1459: invasive, e.g. introduced into the body by a catheter - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - A61B 5/0205: Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition - A61B 5/14532: {for measuring glucose, e.g. by tissue impedance measurement} - A61B 5/1455: using optical sensors, e.g. spectral photometrical oximeters - A61B 5/1495: Calibrating or testing of in-vivo probes - A61B 5/6898: {Portable consumer electronic devices, e.g. music players, telephones, tablet computers} - A61B 5/7465: {Arrangements for interactive communication between patient and care services, e.g. by using a telephone network (telemetry of measured physiological signal A61B5/0002)} - A61B 5/7475: {User input or interface means, e.g. keyboard, pointing device, joystick} - G16H 10/60: for patient-specific data, e.g. for electronic patient records - G16H 20/10: relating to drugs or medications, e.g. for ensuring correct administration to patients - G16H 20/30: relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising - G16H 20/60: relating to nutrition control, e.g. diets - G16H 20/70: relating to mental therapies, e.g. psychological therapy or autogenous training - G16H 40/63: for local operation - G16H 40/67: for remote operation - G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients - G16H 70/20: relating to practices or guidelines - G16H 70/40: relating to drugs, e.g. their side effects or intended usage - G16H 70/60: relating to pathologies - G16H 80/00: ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring - A61B 5/1118: {Determining activity level} - A61B 2560/0223: of calibration, e.g. protocols for calibrating sensors - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract An integrated disease management system provides patients with simple, quick, and readily available counseling regarding a healthy diabetic lifestyle. The system can include an interactive engine with predictive analytics and machine learning to provide a customized experience for a user. The system can be configured to transmit data to a remote server to perform analysis of received data (e.g., disease management data), to provide feedback to the user (e.g., customized feedback with curated content based on a user's data and interface interactions), and send all or a portion of the data and/or curated content to another user device or remote health management access point (e.g., as cloud storage) where the information can be accessed by healthcare stakeholder. ## Claims ### Claim 1 A system for providing integrated disease management for a patient, comprising: an interactive engine comprising at least one of a predictive analytics module and a machine learning module, and a database of information related to disease management, wherein the interactive engine comprises protocols for managing a disease and information related to recommended lifestyle choices for improving patient outcomes; and a user database of stored user information related to at least one patient and comprising at least one of measured patient disease management data and user data related to disease management; and a user interface configured to receive user inputs comprising user-initiated inquiries, and device data comprising at least one of data indicative of the device's inputs and data indicative of the device's actions; wherein the interactive engine is configured to monitor the user inputs and determine when a selected combination of events occurs and to predict and offer a selected user function upon detection of the occurrence of the selected combination of events, the selected combination of events comprising a designated plurality of user-initiated inquiries and device inputs and actions. ### Claim 2 (depends on 1) The system of claim 1, wherein the disease is diabetes. ### Claim 3 (depends on 1) The system of claim 1, wherein the user interface comprises a chatbot. ### Claim 4 (depends on 3) The system of claim 3, wherein the chatbot comprises a natural language processor. ### Claim 5 (depends on 4) The system of claim 4, wherein the natural language processor is configured to process natural language user inputs. ### Claim 6 (depends on 5) The system of claim 5, wherein the natural language user inputs comprise auditory or text-based user inputs. ### Claim 7 (depends on 1) The system of claim 1, wherein the measured patient disease management data is received from one or more patient monitoring devices. ### Claim 8 (depends on 7) The system of claim 7, wherein the one or more patient monitoring devices are selected from the group consisting of: a smart diabetes monitor, a smart insulin pen, a smart insulin pump, and a fitness tracker. ### Claim 9 (depends on 1) The system of claim 1, wherein the interactive interface comprises a graphical user interface configured to allow the user to input the user inputted data related to disease management. ### Claim 10 (depends on 9) The system of claim 9, wherein the graphical user interface is configured to permit a user to input data related to carbohydrate intake, exercise, and mood. ### Claim 11 (depends on 10) The system of claim 10, wherein the graphical user interface displays a range of selectable icons for each of carbohydrate intake, exercise, and mood to allow the user to input the data. ### Claim 12 (depends on 1) The system of claim 1, wherein the selected combination of events is a designated combination of device mode, status of software application executed by the device, selected range of the stored user information, selected designated words in said user-initiated inquiries, and selected inputs to the device. ### Claim 13 (depends on 1) The system of claim 1, wherein said interactive engine is configured to employ artificial intelligence and machine learning and predictive analysis to detect the occurrences of selected combinations of events to generate a customized experience output for a user via the device. ### Claim 14 (depends on 1) The system of claim 1, wherein the device is implemented for remote access by user devices via a network. ### Claim 15 (depends on 1) The system of claim 1, wherein the user device is provided with disease management software applications or apps configured to communicate with the device via the network, the user inputs being generated at and transmitted from the user device to the device. ### Claim 16 (depends on 1) The system of claim 1, further comprising a software platform having a plurality of tiers of software modules having respective regulatory requirements. ### Claim 17 (depends on 1) The system of claim 1, wherein the interactive interface is configured to provide a customized experience to the user based on previous interactions with the system. ### Claim 18 A method for providing integrated disease management comprising: receiving and storing, in a user database, user information related to at least one patient comprising at least one of measured patient disease management data and user inputted data related to disease management; receiving, via a user interface, a user input comprising a user-initiated inquiry; generating, with an interactive engine that is configured to monitor the user input and user information to determine when a selected combination of events occurs and to predict and offer a selected function upon detection of the occurrence of the selected combination of events, a response to the user inquiry; and displaying, via the user interface, the generated response. ### Claim 19 (depends on 18) The method of claim 18, wherein the disease is diabetes. ### Claim 20 (depends on 18) The method of claim 18, wherein the user interface comprises a chatbot. ### Claim 21 (depends on 20) The method of claim 20, wherein receiving the user input comprises parsing the user input with a natural language processor. ### Claim 22 (depends on 21) The method of claim 21, wherein the user input comprises an auditory or text-based user input. ### Claim 23 (depends on 18) The method of claim 18, wherein receiving and storing the measured patient disease management data comprises receiving the measured patient disease management data from one or more patient monitoring devices. ### Claim 24 (depends on 23) The method of claim 23, wherein the one or more patient monitoring devices are selected from the group consisting of: a smart diabetes monitor, a smart insulin pen, a smart insulin pump, and a fitness tracker. ### Claim 25 (depends on 18) The method of claim 18, wherein receiving and storing the user inputted data related to disease management comprises receiving the user inputted data related via a graphical user interface configured to allow the user to input the user inputted data related to disease management. ### Claim 26 (depends on 25) The method of claim 25, wherein the graphical user interface is configured to permit a user to input data related to carbohydrate intake, exercise, and mood. ### Claim 27 (depends on 26) The method of claim 26, further comprising: displaying, on the graphical user interface, a range of selectable icons for each of carbohydrate intake, exercise, and mood to allow the user to input the data; and receiving, via the graphical user interface, a selection for each of carbohydrate intake, exercise, and mood. ### Claim 28 (depends on 18) The method of claim 18, wherein the selected combination of events is a designated combination of device mode, status of software application executed by the device, selected range of the stored user information, selected designated words in said user-initiated inquiries, and selected inputs to the device. ### Claim 29 (depends on 18) The method of claim 18, wherein said interactive engine is configured to employ artificial intelligence and machine learning and predictive analysis to detect the occurrences of selected combinations of events to generate a customized experience output for a user via the device. ### Claim 30 (depends on 18) The method of claim 18, further comprising providing a customized experience to the user based on previous interactions with the user interface.