Solutions
AI HealthCare Predictive Management
Managed healthcare organizations (MHOs) are facing a number of challenges, including rising costs, increasing competition, and the need to improve the quality of care. DataKubes DataOS can help MHOs to address these challenges and elevate their performance.
DataKubes DataOS is a cloud-based platform that provides MHOs with the tools they need to use enterprise artificial intelligence (AI) to improve their operations.
Challenge
- Rising costs: The cost of healthcare is rising faster than inflation, putting a strain on MHOs’ budgets.
- Increasing competition: The healthcare industry is becoming increasingly competitive, as more and more organizations compete for patients. Need to improve quality of care: Patients are demanding higher quality care, and MHOs need to find ways to meet this demand.
Results
DataKubes DataOS can help MHOs to address these challenges and elevate their performance. Here are some of the results that MHOs can expect to see by using DataKubes DataOS:
- Improved patient outcomes: DataKubes DataOS can be used to analyze patient data to identify patterns that can predict which patients are at risk of developing certain diseases. This information can then be used to develop targeted interventions that can help to prevent these diseases.
- Reduced costs: DataKubes DataOS can be used to automate tasks that are currently performed by humans, which can reduce costs. For example, AI can be used to process insurance claims, schedule appointments, and manage inventory. This can free up human resources to focus on more important tasks, such as providing care to patients.
- Improved efficiency: DataKubes DataOS can be used to improve the efficiency of MHOs by streamlining processes and making it easier for employees to access information. For example, AI can be used to create chatbots that can answer patient questions, or to develop data visualization tools that can help employees to see trends in patient data.
- Increased compliance: DataKubes DataOS can be used to help MHOs to comply with regulations, such as HIPAA and the Affordable Care Act. For example, AI can be used to monitor patient data for potential breaches, or to generate reports that demonstrate compliance with regulations.
Solution Overview
DataKubes DataOS is a cloud-based platform that provides MHOs with the tools they need to use enterprise artificial intelligence (AI) to improve their operations. Here are some of the ways that DataKubes DataOS can be used to help MHOs:
- Predictive analytics: DataKubes DataOS can be used to analyze patient data to identify patterns that can predict which patients are at risk of developing certain diseases. This information can then be used to develop targeted interventions that can help to prevent these diseases.
- Automated tasks: DataKubes DataOS can be used to automate tasks that are currently performed by humans, which can reduce costs and free up human resources to focus on more important tasks.
- Data visualization: DataKubes DataOS can be used to create data visualizations that can help employees to see trends in patient data. This can help to improve decision-making and efficiency.
- Compliance: DataKubes DataOS can be used to help MHOs to comply with regulations, such as HIPAA and the Affordable Care Act.
About DataKubes
DataKubes WorkShop, a module of DataKubes Orchestrator, is a complete modular development platform designed to handle the complete extraction, machine learning and visualization workflow process for any kind of data problem.
Once the orchestrator has finished integrating the datapoint and adjusting the modules for running the AutoML or custom modules, it is as easy as creating a DataApp using our no-code DataApp Studio to create a complete UX end user app to be deployed inside or outside the organization.
