1. A system for managing and analyzing healthcare data, comprising: one or more data sources for providing healthcare data; a data processing module for processing the healthcare data received from the data sources; a data storage module for storing the processed healthcare data; an analysis module for analyzing the healthcare data stored in the data storage module; a user interface for displaying the analyzed healthcare data; and one or more processors for executing instructions of the system.

2. The system of claim 1, wherein the one or more data sources comprises one or more of electronic health records, medical device data, and patient-generated data.

3. The system of claim 1, wherein the data processing module comprises one or more of data cleaning, data normalization, and data transformation.

4. The system of claim 1, wherein the analysis module comprises one or more of data mining, machine learning, and statistical analysis.

5. A method for simulation-based analysis of a healthcare system, comprising: receiving data regarding the healthcare system; generating a simulation model of the healthcare system based on the received data; performing a simulation of the healthcare system using the simulation model; analyzing the results of the simulation to determine one or more performance metrics of the healthcare system; and outputting the one or more performance metrics.

6. The method of claim 1, wherein the data regarding the healthcare system comprises one or more of patient data, hospital data, medical device data, and healthcare provider data.

7. The method of claim 1, wherein generating the simulation model comprises defining one or more entities and relationships within the healthcare system.

8. The method of claim 1, wherein performing the simulation comprises executing a series of events based on the simulation model.

9. The method of claim 1, wherein analyzing the results of the simulation comprises comparing the one or more performance metrics to one or more benchmarks.

10. The method of claim 1, further comprising adjusting one or more parameters of the simulation model based on the analyzed results. Simulation-based Analysis of Healthcare System Abstract This patent describes a system and method for managing and analyzing healthcare data to improve patient care and hospital performance. The system comprises one or more data sources, a data processing module, a data storage module, an analysis module, a user interface, and one or more processors. The data sources can include electronic health records, medical device data, and patient-generated data, and the data processing module can perform functions such as data cleaning, normalization, and transformation. The analysis module can use techniques such as data mining, machine learning, and statistical analysis to provide valuable insights into patient health outcomes and hospital performance. , Claims:Claims :

1. A system for managing and analyzing healthcare data, comprising: one or more data sources for providing healthcare data; a data processing module for processing the healthcare data received from the data sources; a data storage module for storing the processed healthcare data; an analysis module for analyzing the healthcare data stored in the data storage module; a user interface for displaying the analyzed healthcare data; and one or more processors for executing instructions of the system.

2. The system of claim 1, wherein the one or more data sources comprises one or more of electronic health records, medical device data, and patient-generated data.

3. The system of claim 1, wherein the data processing module comprises one or more of data cleaning, data normalization, and data transformation.

4. The system of claim 1, wherein the analysis module comprises one or more of data mining, machine learning, and statistical analysis.

5. A method for simulation-based analysis of a healthcare system, comprising: receiving data regarding the healthcare system; generating a simulation model of the healthcare system based on the received data; performing a simulation of the healthcare system using the simulation model; analyzing the results of the simulation to determine one or more performance metrics of the healthcare system; and outputting the one or more performance metrics.

6. The method of claim 1, wherein the data regarding the healthcare system comprises one or more of patient data, hospital data, medical device data, and healthcare provider data.

7. The method of claim 1, wherein generating the simulation model comprises defining one or more entities and relationships within the healthcare system.

8. The method of claim 1, wherein performing the simulation comprises executing a series of events based on the simulation model.

9. The method of claim 1, wherein analyzing the results of the simulation comprises comparing the one or more performance metrics to one or more benchmarks.

10. The method of claim 1, further comprising adjusting one or more parameters of the simulation model based on the analyzed results.

Description:Simulation-based Analysis of Healthcare System
Field of the Invention
[0001] The present invention relates to the field of healthcare management and, more particularly, to a simulation-based system for analyzing and optimizing healthcare delivery systems.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] The healthcare industry is facing numerous challenges, including rising costs, increasing demand for services, and the need to provide quality care. Healthcare systems must operate efficiently and effectively to meet these challenges. In recent years, simulation techniques have been used to analyze and optimize complex systems, including healthcare delivery systems.
[0004] Simulation-based analysis of healthcare delivery systems has the potential to improve system efficiency, reduce costs, and enhance the quality of care provided. However, the implementation of simulation-based analysis in healthcare systems is still in its early stages. There is a need for a comprehensive simulation-based system that can be used to analyze and optimize healthcare delivery systems.
[0005] Existing simulation-based systems in healthcare are limited in scope and do not provide a comprehensive analysis of the entire healthcare delivery system. Furthermore, many existing systems are not user-friendly and require significant expertise in simulation techniques to use effectively. There is a need for a simulation-based system that is user-friendly and can be used by healthcare managers and decision-makers to analyze and optimize healthcare delivery systems.
[0006] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
[0007] It also shall be noted that as used herein and in the appended claims, the singular forms “a”, “an”, and “the” include plural referents unless the context clearly dictates otherwise. This invention can be achieved by means of hardware including several different elements or by means of a suitably programmed computer. In the unit claims that list several means, several ones among these means can be specifically embodied in the same hardware item. The use of such words as first, second, third does not represent any order, which can be simply explained as names.
Summary
[0008] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[0009] The present invention relates to the field of healthcare management and, more particularly, to a simulation-based system for analyzing and optimizing healthcare delivery systems.
[00010] The system and method described in this patent aim to improve healthcare data management and analysis to enhance patient care and hospital performance. The system comprises one or more data sources, a data processing module, a data storage module, an analysis module, a user interface, and one or more processors. The data sources can include electronic health records, medical device data, and patient-generated data, and the data processing module can perform functions such as data cleaning, normalization, and transformation. The analysis module can use techniques such as data mining, machine learning, and statistical analysis to provide valuable insights into patient health outcomes and hospital performance.
[00011] The system can help healthcare professionals to collect and process vast amounts of healthcare data from different sources, allowing them to gain a comprehensive understanding of patient health outcomes and hospital performance. The data processing module performs functions such as data cleaning, normalization, and transformation to ensure the accuracy and consistency of the data. The analysis module then utilizes advanced techniques to analyze the processed data and provide valuable insights.
[00012] For example, the analysis module can identify patterns and trends in patient data to predict future health outcomes or detect potential health risks. It can also identify areas where the hospital is underperforming, such as longer-than-average wait times or higher-than-average infection rates, allowing administrators to address these issues and improve overall patient care. The user interface allows healthcare professionals to view these insights in real-time, and to make data-driven decisions that improve patient care and outcomes.
[00013] In addition to the system, the patent also describes a method for simulation-based analysis of a healthcare system. The method involves receiving data regarding the healthcare system, generating a simulation model of the healthcare system based on the received data, performing a simulation of the healthcare system using the simulation model, analyzing the results of the simulation to determine one or more performance metrics of the healthcare system, and outputting the one or more performance metrics.
[00014] The simulation-based analysis method can be used to test different scenarios and predict the potential outcomes of different interventions. It involves generating a simulation model of the healthcare system based on the data received, defining one or more entities and relationships within the healthcare system, and executing a series of events based on the simulation model. The results of the simulation are then analyzed to determine one or more performance metrics, such as patient wait times, hospital capacity, or overall patient satisfaction. The method can also involve adjusting one or more parameters of the simulation model based on the analyzed results to improve the performance of the healthcare system.
[00015] Overall, the system and method described in this patent can help healthcare professionals to manage and analyze vast amounts of healthcare data, allowing them to gain valuable insights into patient health outcomes and hospital performance. By using advanced techniques such as data mining, machine learning, and statistical analysis, the system can help healthcare professionals to make data-driven decisions that improve patient care and outcomes. The simulation-based analysis method can also be used to test different scenarios and predict the potential outcomes of different interventions, allowing healthcare professionals to improve the performance of the healthcare system.
Brief Description of the Drawings
[00016] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00017] FIG. 1 is diagram that demonstrate configuration of system managing and analyzing healthcare data, according to some embodiments of the present disclosure.
[00018] FIG. 2 shows an exemplary flowchart that outlines the steps involved in method for simulation-based analysis of a healthcare data, according to some embodiments of the present disclosure.
Detailed Description
[00019] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00020] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00021] Throughout the present disclosure, the term “network” relates to an arrangement of interconnected programmable and/or non-programmable components that are configured to facilitate data communication between one or more electronic devices and/or databases, whether available or known at the time of filing or as later developed. Furthermore, the network may include, but is not limited to, one or more peer-to-peer network, a hybrid peer-to-peer network, local area networks (LANs), radio access networks (RANs), metropolitan area networks (MANS), wide area networks (WANs), all or a portion of a public network such as the global computer network known as the Internet, a private network, a cellular network and any other communication system or systems at one or more locations.
[00022] Throughout the present disclosure, the term “process”* relates to any collection or set of instructions executable by a computer or other digital system so as to configure the computer or the digital system to perform a task that is the intent of the process.
[00023] Throughout the present disclosure, the term ‘Artificial intelligence (AI)’ as used herein relates to any mechanism or computationally intelligent system that combines knowledge, techniques, and methodologies for controlling a bot or other element within a computing environment. Furthermore, the artificial intelligence (AI) is configured to apply knowledge and that can adapt it-self and learn to do better in changing environments. Additionally, employing any computationally intelligent technique, the artificial intelligence (AI) is operable to adapt to unknown or changing environment for better performance. The artificial intelligence (AI) includes fuzzy logic engines, decision-making engines, preset targeting accuracy levels, and/or programmatically intelligent software.
[00024] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
[00025] The present invention relates to the field of healthcare management and, more particularly, to a simulation-based system for analyzing and optimizing healthcare delivery systems.
[00026] Fig. 1 showcase a figurative demonstration of system 100 for managing and analyzing healthcare data can involve the following components:
[00027] One or more data sources 102 for providing healthcare data: These can include electronic health records, medical device data, and patient-generated data.
[00028] A data processing module 104 for processing the healthcare data received from the data sources: This module can include data cleaning, data normalization, and data transformation to prepare the data for analysis.
[00029] A data storage module 106 for storing the processed healthcare data: This module can store the processed data for future analysis.
[00030] An analysis module 108 for analyzing the healthcare data stored in the data storage module: This module can include data mining, machine learning, and statistical analysis to extract insights from the data.
[00031] A user interface 110 for displaying the analyzed healthcare data: The user interface can be used to visualize the analyzed data and provide insights to healthcare professionals.
[00032] Fig. 2 showcase a method 200 for simulation-based analysis of a healthcare system involves several steps as follows:
[00033] At 202, Receiving data regarding the healthcare system: The method starts by obtaining data related to the healthcare system that is to be analyzed. This data can come from various sources such as electronic health records, medical device data, patient-generated data, and healthcare provider data.
[00034] At 204, Generating a simulation model of the healthcare system based on the received data: The received data is then used to create a simulation model of the healthcare system. The simulation model defines the entities and relationships within the healthcare system that are relevant to the analysis. This model should be a simplified but accurate representation of the healthcare system.
[00035] At 206, Performing a simulation of the healthcare system using the simulation model: The simulation model is then used to perform a simulation of the healthcare system. The simulation involves executing a series of events based on the defined entities and relationships. The events can represent various activities such as patient admission, diagnosis, treatment, and discharge.
[00036] At 208, Analyzing the results of the simulation to determine one or more performance metrics of the healthcare system: The results of the simulation are analyzed to determine one or more performance metrics of the healthcare system. These metrics can include measures such as patient waiting times, resource utilization, and staff workload. The analysis can also involve comparing the performance metrics to benchmarks to determine if the healthcare system is performing optimally.
[00037] At 210, Outputting the one or more performance metrics: Finally, the performance metrics are outputted, which can be used to inform decision-making and improve the healthcare system.
[00038] The method involves receiving data regarding the healthcare system, which can include one or more of patient data, hospital data, medical device data, and healthcare provider data. This data can be used to create a simulation model that accurately represents the healthcare system being analyzed.
[00039] The method involve generating the simulation model by defining one or more entities and relationships within the healthcare system. This can include defining entities such as patients, healthcare providers, medical devices, and hospital resources. Relationships between these entities can also be defined, such as the relationship between a patient and their healthcare provider or between a patient and a medical device.
[00040] The method can involve performing the simulation by executing a series of events based on the simulation model. These events can be based on the defined entities and relationships and can represent various activities that occur within the healthcare system.
[00041] The method can involve analyzing the results of the simulation by comparing the one or more performance metrics to one or more benchmarks. This can help determine if the healthcare system is performing optimally or if improvements can be made.
[00042] The method involve adjusting one or more parameters of the simulation model based on the analyzed results. This can help improve the accuracy of the simulation model and the performance metrics obtained.
[00043] HealthDataPro is a robust and versatile system designed to manage and analyze healthcare data effectively. The system consists of several components, each playing a crucial role in transforming raw data into actionable insights for healthcare providers. Below is a detailed description of the system's components, along with an embodiment illustrating its functionality.
[00044] Data sources: HealthDataPro receives healthcare data from multiple sources, including electronic health records (EHRs), medical device data (e.g., wearable devices, monitors, and sensors), and patient-generated data (e.g., health surveys, self-reported symptoms, or lifestyle information). These diverse sources ensure a comprehensive understanding of a patient's health status.
[00045] Embodiment: A hospital uses HealthDataPro to integrate EHRs from multiple clinics, data from in-hospital medical devices, and self-reported data from patient mobile apps.
[00046] Data processing module: The data processing module processes the healthcare data from various sources. This module performs essential tasks such as data cleaning (removing errors and inconsistencies), data normalization (standardizing data formats and units), and data transformation (converting data into a suitable format for analysis).
[00047] Embodiment: HealthDataPro's data processing module cleans and standardizes the data received from different clinics, medical devices, and patient mobile apps, ensuring that the data is ready for analysis.
[00048] Data storage module: Once the healthcare data is processed, the data storage module stores it in an organized and secure manner, facilitating quick retrieval for analysis.
[00049] Embodiment: HealthDataPro uses a secure, cloud-based storage system to store the processed data, allowing authorized users to access it from any location.
[00050] Analysis module: The analysis module employs various techniques to extract valuable insights from the stored healthcare data. These techniques include data mining (identifying patterns and relationships), machine learning (creating predictive models), and statistical analysis (hypothesis testing and descriptive statistics).
[00051] Embodiment: HealthDataPro's analysis module applies machine learning algorithms to identify patterns in the healthcare data, such as correlations between specific lifestyle factors and disease outcomes.
[00052] User interface: The user interface displays the analyzed healthcare data in an easy-to-understand format, allowing healthcare providers to make informed decisions based on the insights generated by the system.
[00053] Embodiment: HealthDataPro's user interface presents the analysis results through interactive dashboards, visualizations, and reports, enabling healthcare providers to quickly identify trends and make data-driven decisions.
[00054] Processors: One or more processors execute the instructions of the HealthDataPro system, ensuring seamless operation and efficient performance.
[00055] Embodiment: HealthDataPro uses high-performance processors to handle large volumes of healthcare data and perform complex analyses, delivering real-time insights to healthcare providers.
[00056] The above description is intended to be illustrative, and not restrictive. Although the present disclosure has been described with references to specific illustrative examples and implementations, it will be recognized that the present disclosure is not limited to the examples and implementations described. The scope of the disclosure should be determined with reference to the following claims, along with the full scope of equivalents to which the claims are entitled.
[00057] Modifications, additions, or omissions may be made to the systems and apparatuses described herein without departing from the scope of the disclosure. The components of the systems and apparatuses may be integrated or separated. Moreover, the operations of the systems and apparatuses may be performed by more, fewer, or other components. Additionally, operations of the systems and apparatuses may be performed using any suitable logic comprising software, hardware, and/or other logic. As used in this document, “each” refers to each member of a set or each member of a subset of a set.
[00058] The term “memory,” as used herein relates to a volatile or persistent medium, such as a magnetic disk, or optical disk, in which a computer can store data or software for any duration. Optionally, the memory is non-volatile mass storage such as physical storage media. Furthermore, a single memory may encompass and in a scenario wherein computing system is distributed, the processing, memory and/or storage capability may be distributed as well.
[00059] Throughout the present disclosure, the term ‘server’ relates to a structure and/or module that include programmable and/or non-programmable components configured to store, process and/or share information. Optionally, the server includes any arrangement of physical or virtual computational entities capable of enhancing information to perform various computational tasks.
[00060]

Claims
I/We Claim:
1. A system for managing and analyzing healthcare data, comprising: one or more data sources for providing healthcare data; a data processing module for processing the healthcare data received from the data sources; a data storage module for storing the processed healthcare data; an analysis module for analyzing the healthcare data stored in the data storage module; a user interface for displaying the analyzed healthcare data; and one or more processors for executing instructions of the system.
2. The system of claim 1, wherein the one or more data sources comprises one or more of electronic health records, medical device data, and patient-generated data.
3. The system of claim 1, wherein the data processing module comprises one or more of data cleaning, data normalization, and data transformation.
4. The system of claim 1, wherein the analysis module comprises one or more of data mining, machine learning, and statistical analysis.
5. A method for simulation-based analysis of a healthcare system, comprising: receiving data regarding the healthcare system; generating a simulation model of the healthcare system based on the received data; performing a simulation of the healthcare system using the simulation model; analyzing the results of the simulation to determine one or more performance metrics of the healthcare system; and outputting the one or more performance metrics.
6. The method of claim 1, wherein the data regarding the healthcare system comprises one or more of patient data, hospital data, medical device data, and healthcare provider data.
7. The method of claim 1, wherein generating the simulation model comprises defining one or more entities and relationships within the healthcare system.
8. The method of claim 1, wherein performing the simulation comprises executing a series of events based on the simulation model.
9. The method of claim 1, wherein analyzing the results of the simulation comprises comparing the one or more performance metrics to one or more benchmarks.
10. The method of claim 1, further comprising adjusting one or more parameters of the simulation model based on the analyzed results.

Simulation-based Analysis of Healthcare System
Abstract
This patent describes a system and method for managing and analyzing healthcare data to improve patient care and hospital performance. The system comprises one or more data sources, a data processing module, a data storage module, an analysis module, a user interface, and one or more processors. The data sources can include electronic health records, medical device data, and patient-generated data, and the data processing module can perform functions such as data cleaning, normalization, and transformation. The analysis module can use techniques such as data mining, machine learning, and statistical analysis to provide valuable insights into patient health outcomes and hospital performance. , Claims:Claims
I/We Claim:
1. A system for managing and analyzing healthcare data, comprising: one or more data sources for providing healthcare data; a data processing module for processing the healthcare data received from the data sources; a data storage module for storing the processed healthcare data; an analysis module for analyzing the healthcare data stored in the data storage module; a user interface for displaying the analyzed healthcare data; and one or more processors for executing instructions of the system.
2. The system of claim 1, wherein the one or more data sources comprises one or more of electronic health records, medical device data, and patient-generated data.
3. The system of claim 1, wherein the data processing module comprises one or more of data cleaning, data normalization, and data transformation.
4. The system of claim 1, wherein the analysis module comprises one or more of data mining, machine learning, and statistical analysis.
5. A method for simulation-based analysis of a healthcare system, comprising: receiving data regarding the healthcare system; generating a simulation model of the healthcare system based on the received data; performing a simulation of the healthcare system using the simulation model; analyzing the results of the simulation to determine one or more performance metrics of the healthcare system; and outputting the one or more performance metrics.
6. The method of claim 1, wherein the data regarding the healthcare system comprises one or more of patient data, hospital data, medical device data, and healthcare provider data.
7. The method of claim 1, wherein generating the simulation model comprises defining one or more entities and relationships within the healthcare system.
8. The method of claim 1, wherein performing the simulation comprises executing a series of events based on the simulation model.
9. The method of claim 1, wherein analyzing the results of the simulation comprises comparing the one or more performance metrics to one or more benchmarks.
10. The method of claim 1, further comprising adjusting one or more parameters of the simulation model based on the analyzed results.