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Institute for Predictive Medicine
The Institute for Predictive Medicine (IPM) is focused on Health Analytics and Predictive Medicine. The team manages and analyzes Cerner Health Facts®, one of the largest HIPAA-compliant relational databases, to better understand the practice of medicine, leverage the wealth of patient data for improved outcomes, and build predictive health models. The mission of IPM is to transform health data into actionable insights. In support of its core mission, IPM pursues a number of different initiatives falling within three major focus areas.
We develop algorithms to improve decision-making processes and clinical outcomes.
We strongly believe that predictive medicine is the future. Predictive medicine will enable the next level of patient care by allowing diseases to be predicted even before they occur, thereby supporting efforts at early treatment or prevention. With large, detailed healthcare datasets such as the Cerner Health Facts® database, we have access to the comprehensive treatment history and detailed lab records of millions of patients, which allow us to mine the data for risk indicators and develop algorithms to support improved health initiatives, thereby accelerating the development of new innovative solutions that ultimately bring the future of healthcare closer.
To support our efforts in this area, we pursue a mix of different projects spanning the areas of clinical decision algorithms, predictive analytics, drug outcomes analysis, payer economics, laboratory test modeling, and workflow efficiency improvements. For projects in each of these areas, we are also working on creating standards and documenting best practices that will guide future endeavors on similar projects. Furthermore, we are also actively developing analytical tools, templates, and solutions that can be used and implemented by both healthcare researchers and practitioners.
We help train and prepare the next generation of health data scientists.
The passage of acts such as the Patient Protection and Affordable Care Act (PPACA) and Health Information Technology for Economic and Clinical Health (HITEC) have driven the widespread adoption of electronic health systems by organizations providing healthcare, which in turn has resulted in an explosion of health data. Additionally, the focus on meaningful use has also led to efforts to transform healthcare, at the core of which are data-driven quality initiatives.
Given the rapid pace of technological evolution and changing industry needs, we believe in the importance of training the next generation of health data scientists. That is, we believe in engaging with students early in order to imbue them with the awareness and interest to consider pursuing careers in health data analytics, providing training help individuals develop skills in data analytics, and even creating opportunities for those seeking to transition into health analytics from other career paths.
For this purpose, we have developed a series of initiatives that form an integrated analytics training engine. From secondary STEM education to undergraduate to graduate to corporate fellowships and beyond, we offer training modules, support for student clubs, internships, assistantships, and a multitude of different opportunities for students at all levels of education and from all disciplines and backgrounds to obtain exposure to healthcare analytics. For more information, interested students, parents, and educators can check out our Educational Support pages.
We partner and collaborate with researchers and organizations to develop and implement solutions together.
Healthcare is complex. The development of innovative healthcare solutions is a multidisciplinary effort that requires contributions by individuals from many different areas of expertise and disciplines. Consequently, we strongly believe in partnering and collaborating with researchers and organizations alike to develop and implement solutions together. Partnerships and collaborations allow both sides to bring together the resources, skills, and knowledge that can greatly deepen and accelerate the pace of innovation.
With the Cerner Health Facts® dataset, we also have access to a massive repository of healthcare data. Recognizing that the depth and breadth of problems in healthcare that can be addressed far exceed the capacity of a single team, we additionally believe in providing data access and analytics expertise to support efforts by other research teams and groups who are interested in innovating healthcare and improving clinical care outcomes.
To increase the diversity of our data and paint a more complete picture of healthcare, we also partner with government organizations, academic institutions, and corporations. Some of the data we’ve analyzed include, but are not limited to, Oklahoma health data, national consumer health data, social media data, and other publicly-available health-related datasets.
To submit requests for partnerships or collaborations, check out our Connect page.