Data analytics and artificial intelligence have the potential to revolutionize patient care, and AACC members are poised to be at the forefront of this revolution.
Our research community and in vitro diagnostics manufacturers are already employing powerful data analytics to advance scientific knowledge and bring these new capabilities to today's laboratories.
On a day-to-day basis, we evaluate, implement, and interpret the most sophisticated measurement technology to deliver essential insights about patient health.
And while a doctor ordering a test sees a single question seeking a particular answer, laboratory professionals bring a broader perspective to the table. We can place discrete test results into a larger context that leads to additional and better questions, which in turn lead to more answers that enable better medical outcomes.
What Is AACC Doing in This Area?
So what is AACC doing to help lab professionals capitalize on and/or further develop our expertise in data analytics? Work in data analytics is a pillar of AACC’s Strategic Plan and the association is invested in moving this initiative forward. To this end, AACC’s Data Analytics Steering Committee has created a three-pronged approach of education, data access, and community-building.
As part of this plan, we have compiled the resources below to educate AACC members and affiliated professionals on the current status of and opportunities in data analytics in laboratory medicine and to help create an environment for users to maximize their analytics abilities.
What Is Data Analytics?
Data analytics includes discovering useful information and conclusions to support decision making from data and includes:
- Using real-world data;
- Visualization;
- Statistical and exploratory analysis;
- Machine learning; and
- Communicating results.
The Data Analytics Lifecycle
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Data Analytics Resources
AACC publishes essential information on machine learning and use of real-world data in its journals and news publications. Learn more in the links to the right.