# US 2019/0172590 A1 · Methods and systems for improving connections within a healthcare ecosystem > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2019/0172590 A1 - Document ID: US20190172590A1 - Status: Published application - Kind: A1 - Application number: 16/269,070 - Filed: 2019-02-06 - Published: 2019-06-06 - Earliest claimed: 2014-08-31 - Assignees: General Electric Company - Applicants: General Electric Company - Inventors: Guy Robert Vesto; Rizwan Ahmed - Web page: https://patentgrep.com/patent/US20190172590A1 ## CPC - G16H 40/67: for remote operation - G16H 50/50: for simulation or modelling of medical disorders - G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract A systems, method, and apparatus to improve connections within a healthcare ecosystem are provided. Example systems, methods, and apparatus can facilitate dynamic interface definition and configuration. An example method includes storing a plurality of reusable interface and route definitions to translate and exchange data messages between source and target systems in a healthcare ecosystem; monitoring message exchanges and message patterns in the healthcare environment via a machine learning system to predict traffic and utilization patterns in the healthcare ecosystem; tracking metadata regarding connections involving the source and target systems and storing the metadata in a graph database; suggesting connections between the source and target systems based on the monitored message exchanges and message patterns and metadata from the graph database using graph analytics; provisioning an interface between the source and target systems based on a suggested connection, the interface provisioned from the reusable interface and route definitions based on the suggested connection. ## Claims ### Claim 1 An integration platform apparatus to facilitate dynamic definition and configuration of an interface for a tele-intensive care unit (tele-ICU) to provide remote monitoring technology through the interface, the apparatus comprising: at least one memory; and at least one processor to at least: monitor, via a command center, patient parameters for a patient at a first location to identify a trend in a patient condition based on the patient parameters; provision, based on a trend in patient condition associated with the patient parameters and patterns generated by graph analytics with machine learning, an interface between the first location and at least one remote system, the interface selected from a plurality of reusable interface and route definitions to translate and exchange data messages between the first location and the at least one remote system; and enable exchange of messages between the first location and the at least one remote system via the interface. ### Claim 2 (depends on 1) The apparatus of claim 1, wherein the at least one processor is to trigger an alert with respect to the patient condition based on the exchange of messages. ### Claim 3 (depends on 1) The apparatus of claim 1, wherein the at least one processor is to monitor device parameters at the at least one remote system via the interface. ### Claim 4 (depends on 1) The apparatus of claim 1, wherein the interface is to be provisioned as an interface-as-a-service. ### Claim 5 (depends on 1) The apparatus of claim 1, wherein the patient parameters are to be monitored and displayed via a dashboard at the command center. ### Claim 6 (depends on 5) The apparatus of claim 5, wherein the at least one processor is to implement an interface engine to deploy the interface and to display the patient parameters via the dashboard. ### Claim 7 (depends on 1) The apparatus of claim 1, wherein the integration platform apparatus is a cloud-based apparatus, and wherein the interface is to be provisioned via the cloud. ### Claim 8 At least one computer readable storage medium including instructions which, when executed, cause at least one processor to at least: monitor patient parameters for a patient at a first location to identify a trend in a patient condition based on the patient parameters; provision, based on a trend in patient condition associated with the patient parameters and patterns generated by graph analytics with machine learning, an interface between the first location and at least one remote system, the interface selected from a plurality of reusable interface and route definitions to translate and exchange data messages between the first location and the at least one remote system; and enable exchange of messages between the first location and the at least one remote system via the interface. ### Claim 9 (depends on 8) The at least one computer readable storage medium of claim 8, wherein the instructions, when executed, cause the at least one processor to trigger an alert with respect to the patient condition based on the exchange of messages. ### Claim 10 (depends on 8) The at least one computer readable storage medium of claim 8, wherein the instructions, when executed, cause the at least one processor to monitor device parameters at the at least one remote system via the interface. ### Claim 11 (depends on 8) The at least one computer readable storage medium of claim 8, wherein the interface is to be provisioned as an interface-as-a-service. ### Claim 12 (depends on 8) The at least one computer readable storage medium of claim 8, wherein the patient parameters are to be monitored and displayed via a dashboard at a command center. ### Claim 13 (depends on 12) The at least one computer readable storage medium of claim 12, wherein the instructions, when executed, cause the at least one processor to implement an interface engine to deploy the interface and to display the patient parameters via the dashboard. ### Claim 14 (depends on 8) The at least one computer readable storage medium of claim 8, wherein the interface is to be provisioned via a cloud-based platform. ### Claim 15 A computer-implemented method to facilitate dynamic definition and configuration of an interface for a tele-intensive care unit (tele-ICU) to provide remote monitoring technology through the interface, the method comprising: monitoring, by executing an instruction using at least one processor, patient parameters for a patient at a first location to identify a trend in a patient condition based on the patient parameters; provisioning, by executing an instruction using the at least one processor and based on a trend in patient condition associated with the patient parameters and patterns generated by graph analytics with machine learning, an interface between the first location and at least one remote system, the interface selected from a plurality of reusable interface and route definitions to translate and exchange data messages between the first location and the at least one remote system; and enabling, by executing an instruction using the at least one processor, exchange of messages between the first location and the at least one remote system via the interface. ### Claim 16 (depends on 15) The method of claim 15, further including triggering an alert with respect to the patient condition based on the exchange of messages. ### Claim 17 (depends on 15) The method of claim 15, further including monitoring device parameters at the at least one remote system via the interface. ### Claim 18 (depends on 15) The method of claim 15, wherein the interface is to be provisioned as an interface-as-a-service. ### Claim 19 (depends on 15) The method of claim 15, wherein the patient parameters are to be monitored and displayed via a dashboard at the command center. ### Claim 20 (depends on 19) The method of claim 19, further including implementing an interface engine to deploy the interface and to display the patient parameters via the dashboard.