Reducing the Rate of Readmissions
The client had limited or inefficient integration of its data sources, which made it difficult to see patients through a longitudinal lens. The client was, however, uniquely positioned to leverage the expansive patient data contained within its network of care, and set out to do so in 2012. Specifically, they wanted to improve the outcomes of patients with Ischemic Heart Disease (IHD) through improved care management with goals of reducing readmission rates, better managing patient cholesterol levels, and better managing patient blood pressure. Specifically, the regional healthcare provider was interested in implementing a machine learning platform, that quickly automates complex analytical processes and integrates powerful information into existing applications and portals.
ThingWorx (PTC)The ThingWorx IoT Technology Platform. One Platform. Limitless Possibilities. ThingWorx is the only enterprise-ready technology platform that enables innovators to rapidly develop and deploy smart, connected solutions for the Internet of Things. Build Fast Connectivity and development tools made for IoT enable developers to quickly create, test and deploy solutions faster than ever thought possible. Build Smart Integrated capabilities of the platform enable developers to create more feature-rich solutions in a fraction of the time of other platforms. Build for Enterprises Developers quickly and easily create IoT solutions that are scalable, secure, and meet the needs of the largest of enterprises.
Equipment & Machinery
This health care network includes two major hospitals and a network of outpatient and preventative care providers. It is unique in its broad spectrum of care and health services. With more than 1,000 patient beds, a home health care service, preventive medicine, rehabilitation services, a network of primary care physicians, and an extensive range of outpatient services. Their client is one of the largest health providers in the country.
- CONNECTIVITY PROTOCOLS
The ThingWorx Machine Learning team set out to develop three ThingWorx Machine Learning-oriented solutions to improve care of IHD patients for our client: • The implementation team would create an integrated, longitudinal data platform for patients with IHD. • ThingWorx Machine Learning would then be applied to provide data-driven care management programs for patients with IHD that could be implemented at all levels of patient care. • ThingWorx Machine Learning would continually evaluate the impact of the program on the overall health, health care, and health cost for the targeted IHD patients. To get a free demo of ThingWorx 8: http://solutions.iotone.com/thingworx
- DATA COLLECTED
Electronic Medical Record, Human Behavior, Medical Diagnostic Instruments, Personal Medical
- SOLUTION TYPE
- SOLUTION MATURITY
Emerging (technology has been on the market for > 2 years)
- OPERATIONAL IMPACT
Impact #1 [Process Optimization - Real Time Monitoring]
The medical condition of individuals can be identified in near real-time which helps reduce readmission rates for their patient populations.
Impact #2 [Data Management - Data Analysis]
ThingWorx Machine Learning, with its people, processes, and technology, helped to automate key insights, predictions, and increase analytical maturity to make our client more efficient, cost effective, and save more lives.
- QUANTITATIVE BENEFIT
The client now effectively manages 2990 patients that have IHD with data- driven solutions designed by the ThingWorx Machine Learning teams.
ThingWorx Machine Learning automatically generates models to predict and identify the top 5% high readmission risk patients.
- USE CASES
Process Control & OptimizationProcess control and optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints. The PCO market is being driven by rising demand for energy-efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations. Fundamentally, there are three parameters that can be adjusted to affect optimal performance. - Equipment optimization: The first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks. - Operating procedures: Operating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual. - Control optimization: In a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.