# US 8,751,266 B2 · Method and system for facilitating clinical decisions > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 8,751,266 B2 - Document ID: US8751266B2 - Status: Granted - Kind: B2 - Application number: 11/366,804 - Filed: 2006-03-03 - Published: 2006-09-14 - Granted: 2014-06-10 - Earliest claimed: 2005-03-04 - Assignees: Cerner Innovation, Inc. - Applicants: Paul Stang - Inventors: Paul Stang - Web page: https://patentgrep.com/patent/US8751266B2 ## CPC - G06Q 10/10: Office automation; Time management - G16H 40/67: for remote operation - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - G16H 50/30: for calculating health indices; for individual health risk assessment - G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract A method and system for providing information for facilitating health care and clinical decisions. The method includes receiving input data specifying patient information, comparing that data with one or more predetermined sets of reference data, and determining and displaying the output data. The output data can be displayed graphically, such as using bubbles of different color and size, to indicate risk factors and their contribution to potential health problems. After displaying the data, a second set of input data can be entered, and this data is compared to the first set of data and to one or more sets of reference data. A second set of output data is generatable and displayable alongside the first set of output data. ## Claims ### Claim 1 Computer hardware storage media having computer-executable instructions tangibly embodied thereon that, when executed by a computing device, cause the computing device to perform a method for providing information for facilitating health care and clinical decisions, the method comprising: receiving a first set of input data corresponding to patient information of an individual patient, wherein the first set of input data comprises blood pressure and total cholesterol of the individual patient at a first point in time; comparing the first set of input data with at least a predetermined set of reference data relating risk factors to heart conditions; determining a first set of output data comprising risk factors of the individual patient that contribute to the individual patient developing one or more heart conditions, and further determining a contribution level of each of the determined risk factors to the one or more heart conditions based on the comparing the first set of input data with the at least the predetermined set of reference data relating risk factors to heart conditions; presenting the first set of output data comprising a graphical indicator of the each of the determined risk factors, the each of the determined risk factors being presented as the graphical indicator, wherein a size of the graphical indicator is based on the contribution level of the each of the determined risk factors, wherein a larger size indicates a higher contribution level; receiving a second set of input data specifying new patient information of the individual patient, wherein the second set of input data is associated with a potential treatment that has not yet been initiated, and wherein the second set of input data comprises medication changes, smoking changes, blood pressure changes, and weight changes; comparing the second set of input data with the first set of output data and the at least the predetermined set of reference data relating risk factors to heart conditions; determining a second set of output data comprising revised risk factors of the individual patient, and further determining a revised contribution level of each of the revised risk factors to the one or more heart conditions based on the comparing the second set of input data with the first set of output data and the at least the predetermined set of reference data relating risk factors to heart conditions; and presenting the second set of output data along with the first set of output data to graphically show a relationship between a potential risk and a potential benefit associated with the potential treatment, wherein presenting the second set of output data comprises presenting a revised graphical indicator of the each of the revised risk factors, a revised size of the revised graphical indicator being based on the revised contribution level of the each of the revised risk factors to the one or more heart conditions, and wherein a difference between the size of the graphical indicator of the each of the determined risk factors and the revised size of the revised graphical indicator of the each of the revised risk factors indicates a change in the contribution level of the each of the determined risk factors, the change in the contribution level of the each of the determined risk factors being associated with the potential treatment. ### Claim 2 (depends on 1) The computer hardware storage media of claim 1, wherein the first set of input data further comprises at least one selected from a group consisting of the patient's age, gender, height, weight, smoking status, diabetic status, and HDL cholesterol. ### Claim 3 (depends on 1) The computer hardware storage media of claim 1, wherein the predetermined set of reference data includes Framingham data. ### Claim 4 (depends on 1) The computer hardware storage media of claim 1, wherein displaying the first set of output data includes displaying a plurality of circular indicators corresponding to patient risk factors. ### Claim 5 (depends on 4) The computer hardware storage media of claim 4, wherein the plurality of circular indicators have a plurality of sizes, and wherein a size of one of the plurality of circular indicators indicates the contribution of the patient risk factor represented by the one of the plurality of circular indicators. ### Claim 6 (depends on 5) The computer hardware storage media of claim 5, wherein each of the plurality of circular indicators is one of a plurality of colors, and wherein the color of each of the plurality of circular indicators corresponds to risk level of the patient risk factor represented by the one circular indicator. ### Claim 7 (depends on 1) The computer hardware storage media of claim 1, further comprising: generating a list of specialists; selecting one of the specialists from the list; and initiating communication with the selected specialist. ### Claim 8 (depends on 1) The computer hardware storage media of claim 1, further comprising: providing direction to a secondary information source. ### Claim 9 (depends on 8) The computer hardware storage media of claim 8, wherein the secondary information source is a web site. ### Claim 10 (depends on 1) The computer hardware storage media of claim 1, further comprising: generating a list of specialists; selecting one of the specialists from the list; and initiating communication with the selected specialist. ### Claim 11 A system for electronically providing information for facilitating health care and clinical decisions, comprising: a hardware processor; and a repository accessible by the hardware processor; wherein a first set of input data specifying patient information associated with a patient and a second set of input data specifying potential changes in the patient information, including medication changes, smoking changes, blood pressure changes, and weight changes, are received and stored in the repository, wherein the patient information corresponds to a current condition of the patient and the potential changes in patient information correspond to a potential future condition of the patient, the potential future condition of the patient being associated with a potential course of treatment that has not yet been initiated; wherein the first set of input data is compared with at least a predetermined set of reference data relating risk factors to strokes via the processor; wherein a first set of output data and a second set of output data are identified via the processor, the first set of output data comprising risk factors of the patient that contribute to the patient developing strokes, a contribution level of each of the risk factors determined based on the comparing of the first set of input data and the at least the predetermined set of reference data relating risk factors to strokes, and the second set of output data comprising revised risk factors of the patient that contribute to the patient developing a stroke, the second set of output data based on comparing the second set of input data to the first set of output data and the predetermined set of reference data relating risk factors to strokes; wherein a revised contribution level of each of the revised risk factors is determined via the processor, the revised contribution level based on the comparing the second set of input data to the first set of output data and the predetermined set of reference data relating risk factors to strokes; wherein an extent of difference between the contribution level of the each of the determined risk factors and the revised contribution level of the each of the revised risk factors is determined via the processor; and wherein the first set of output data is presented along with the second set of output data via a graphical user interface to graphically show a potential benefit and risk associated with the potential course of treatment, wherein presenting the first set of output data includes presenting graphical indicators of the determined risk factors, the each of the determined risk factors presented as a graphical indicator, wherein a size of the graphical indicator is based on the contribution level of the each of the determined risk factors, wherein a larger size indicates a higher contribution level. ### Claim 12 (depends on 11) The system of claim 11, wherein the processor is housed on a terminal. ### Claim 13 (depends on 11) The system of claim 11, wherein a terminal is selected from a group consisting of a personal computer, a minicomputer, a main frame computer, a microcomputer, a hand held device, and a telephonic device. ### Claim 14 (depends on 11) The system of claim 11, wherein the processor is housed on a server. ### Claim 15 (depends on 14) The system of claim 14, wherein the server is selected from a group consisting of a personal computer, a minicomputer, a microcomputer, and a main frame computer. ### Claim 16 (depends on 14) The system of claim 14, wherein the server is coupled to a network. ### Claim 17 (depends on 16) The system of claim 16, wherein input is received via the network. ### Claim 18 (depends on 16) The system of claim 16, wherein the network is the Internet. ### Claim 19 (depends on 16) The system of claim 16, wherein the server is coupled to the network via a coupling. ### Claim 20 (depends on 19) The system of claim 19, wherein the coupling is selected from a group consisting of a wired connection, a wireless connection, and a fiberoptic connection. ### Claim 21 (depends on 11) The system of claim 11, wherein the repository is housed on a server. ### Claim 22 (depends on 21) The system of claim 21, wherein the server is coupled to a network. ### Claim 23 Computer hardware storage media having computer-executable instructions tangibly embodied thereon that, when executed by a computing device, cause the computing device to perform a method for providing information for facilitating health care and clinical decisions, the method comprising: receiving a first set of input data corresponding to patient information associated with a patient, wherein the first set of input data comprises weight, blood pressure, HDL cholesterol, and total cholesterol of the patient at a first point in time; comparing the first set of input data with a predetermined set of reference data relating to risk factors of strokes; determining a first set of output data comprising risk factors of the patient that contribute to the patient developing strokes, and further determining a contribution level of each of the determined risk factors based on the comparing the first set of input data with the predetermined set of reference data relating to risk factors of strokes; presenting the first set of output data comprising graphical indicators of the determined risk factors, the each of the determined risk factors presented as a graphical indicator, wherein a size of the graphical indicator is based on the contribution level of the each of the determined risk factors, wherein a larger size indicates a higher contribution level; receiving a second set of input data corresponding to revised patient information, wherein the second set of input data comprises medication changes, smoking changes, blood pressure changes, and weight changes; comparing the second set of input data with the first set of output data and with the predetermined set of reference data relating to risk factors of strokes; determining a second set of output data comprising revised risk factors of the patient that contribute to the patient developing a stroke, and further determining a revised contribution level of the each of the revised risk factors determined based on the comparing the second set of input data with the first set of output data and with the predetermined set of reference data relating to risk factors of strokes; determining an extent of difference between the contribution level of the each of the determined risk factors and the revised contribution level of the each of the revised risk factors; presenting the second set of output data comprising revised graphical indicators of the revised risk factors along with the first set of output data to graphically show a relationship between risk and benefit associated with the medication changes, smoking changes, blood pressure changes, and weight changes; and presenting potential benefits and risks of a potential course of therapy.