# US 2010/0169119 A1 · Systems and Methods for Delivering Continuous Quality Improvement to Complex Non-Manufacturing Industry > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2010/0169119 A1 - Document ID: US20100169119A1 - Status: Published application - Kind: A1 - Application number: 12/347,235 - Filed: 2008-12-31 - Published: 2010-07-01 - Earliest claimed: 2008-12-31 - Inventors: Anwar A. Hussain - Web page: https://patentgrep.com/patent/US20100169119A1 ## CPC - G06Q 10/06: Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling - G06Q 10/06375: {Prediction of business process outcome or impact based on a proposed change} - G16H 40/20: for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms - 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 system and method is disclosed to functionally show how to use a technology-based continuous quality improvement platform with software integration to improve the execution of complex processes in a measurable way. The platform demonstrates how healthcare delivery, as one example of a complex process, is represented as an input-output system (inputs represent determinants of outcomes, and outputs represent the impact those determinants have on specific measures). The software system helps execute tasks, monitors responses (i.e. outputs), learns (by correlating inputs to outputs), and adjusts (by providing practical decision support to users); ultimately these are the basic steps to create a technology based continuous quality improvement methodology for complex systems. Healthcare as one example of a complex input-output model: Inputs represent the ingredients and contextual factors of healthcare delivery that would have impact on metrics that are tracked (i.e. outputs), one category of which include the execution of specific patient tasks. By monitoring outcomes (i.e. what has happened to the patient after the execution of said tasks), the system can statistically connect which specific inputs (or specifically which tasks) tightly correlate with outcomes. This correlation can then be utilized to generate task-based decision-support, recommending certain specific tasks be done and in which order because these tasks are tightly correlated with improved outcomes. This input-output methodology can be extended to all of healthcare delivery and also to other industries that can be structured within an input-output model. ## Claims ### Claim 1 In a technology-based continuous quality improvement system having a plurality of user interfaces for access and retrieval of data corresponding to respective subjects, a server connecting multiple databases, and business logic methods integrated between the plurality of user interfaces and the server, a method for providing improved treatments, the method comprising the steps of: providing an information system having a capacity for storing a plurality of input parameters and a plurality of outputs, the plurality of outputs including metrics characterized by defined improvements in outcomes and one or more feedback mechanisms to specific users collecting the plurality of input parameters from multiple sources; correlating the plurality of input parameters with the plurality of outputs; integrating the plurality of input parameters with the plurality of outputs into one or more databases; analyzing the plurality of input parameters and the plurality of outputs; selecting one or more data values, following said step of analyzing, as indicative of the defined improvements in outcomes; detecting a pattern of tasks or pattern of inputs which correspond to the defined improvements in outcomes; and creating decision-support feedback to aid a user in delivering improved treatments, processes, or mechanisms to a subject. ### Claim 2 (depends on 1) The method of claim 1, wherein the step of providing an information system integrates business logic software methodology within a computer-based method for optimization of the one or more data values. ### Claim 3 (depends on 1) The method of claim 1, wherein the step of selecting one or more data values comprises a step of assessing financial, clinical, efficiency measures, and other classes of measures as selected. ### Claim 4 (depends on 1) The method of claim 1, wherein the step of collecting input parameters includes accumulating input parameters in at least one internal or external database. ### Claim 5 (depends on 4) The method of claim 4, wherein the step of accumulating input parameters from internal and external databases comprises a step of capturing a wide variety of input parameters with probable outcomes such that the input parameters to analyze patient outcomes comprise at least data on patient characteristics, provider characteristics, institutional characteristics, time, and patient-specific tasks and interventions. ### Claim 6 (depends on 5) The method of claim 5 wherein the classes of measures to be optimized are defined by the user. ### Claim 7 (depends on 6) The method of claim 6, wherein the user optimizes at least one financial measure and at least one patient measure. ### Claim 8 (depends on 1) The method of claim 1, wherein the user prioritizes metrics for optimization. ### Claim 9 (depends on 4) The method of claim 4, wherein the step of accumulating input parameters from internal and external databases comprises a step of correlating inputs with one or more financial, clinical, and efficiency measure. ### Claim 10 (depends on 1) The method of claim 1, wherein the step of collecting input parameters from multiple sources, the multiple sources comprise any category of database and data storage entity. ### Claim 11 (depends on 1) The method of claim 1, wherein the step of correlating the plurality of outputs with the plurality of input parameters relies on linear regression or other statistical techniques. ### Claim 12 (depends on 1) The method of claim 1, wherein the step of creating decision-support feedback is task-based, actionable, and designed to allow users to act on the decision-support feedback immediately. ### Claim 13 (depends on 1) The method of claim 1, wherein the step of creating decision-support feedback is customized to the user. ### Claim 14 (depends on 1) The method of claim 1, wherein the step of correlating the plurality of outputs comprises monitoring short-term outcomes, medium-term outcomes, and long-term outcomes to provide improved treatment at the point of patient care. ### Claim 15 A method for managing successful transactions comprising the steps of: receiving a plurality of input parameters and a plurality of outputs, the plurality of outputs including optimization metrics, wherein the optimization metrics comprise financial, clinical, and efficiency measures; retrieving the plurality of input parameters and plurality of outputs from a server connecting multiple databases; integrating the input parameters with the plurality of outputs into one or more databases; and providing real-time decision-support through business logic software; wherein the business logic software correlates the plurality of input parameters and the plurality of outputs, statistically analyzes prior courses of action which have a positive or negative impact, and creates up-to-date options within a feedback system to improve the metrics of interest. ### Claim 16 (depends on 15) The method of claim 15, wherein the software is designed for industries to manage multiple inputs and outputs while providing decision-support to optimize outputs. ### Claim 17 (depends on 15) The method of claim 15, wherein the software may be incorporated into administration systems, analytical economic systems, healthcare systems, defense systems, or any other non-manufacturing systems that are structured using an input-output model. ### Claim 18 A computerized task management system integrating business logic software for optimization of healthcare delivery comprising: a plurality of user interfaces for access and retrieval of data corresponding to one or more patients and other classes of inputs, the data including a plurality of inputs and a plurality of outputs; one or more servers connecting multiple databases; and a software system which integrates the plurality of user interfaces and the one or more servers, the software system comprising a business logic layer which executes a specific algorithm as it correlates the plurality of inputs and plurality of outputs to optimize specific outputs; wherein the software system provides decision-support feedback impacting financial outcomes, clinical and efficiency measures, or other classes of measures. ### Claim 19 (depends on 18) The computerized task management system of claim 18, wherein the software system detects a pattern of inputs in relation to patient outputs and then uses decision-support feedback to implement a technology based continuous quality improvement methodology. ### Claim 20 (depends on 18) The computerized task management system of claim 18, further comprising the integration of one or more third party systems for optimization of short-term, medium-term, and long-term outcomes.