Using Machine Learning to Solve Critical Challenges in Healthcare IT
Artificial Intelligence and Machine Learning
Technology innovation, artificial intelligence (AI), in particular, has opened up dramatic opportunities for improvements across the care continuum and for control of the skyrocketing costs of care. Artificial intelligence is poised to be the engine that drives.
Learning algorithms have become more precise and accurate as they interact with training data. As a result, healthcare professionals gain unprecedented insights into diagnostics, care processes, treatment variability, and patient outcomes.
According to the 2018 World Medical Innovation Forum (WMIF) there are a number of key areas where AI promises the greatest benefits in healthcare, including:
- Bringing intelligence to medical devices and machines;
- Monitor health through wearables and mobile devices;
- Clinical decision making with AI at the bedside;
- Use of immunotherapy for cancer and rare disease treatment.
AI and Machine Learning are also playing an increasingly important role in addressing health IT challenges, such as:
- Data Management and governance;
- Infrastructure management;
- Natural language processing and text mining.
Learn how our team of Data Scientists, Medical Informaticians, and Analysts are helping our clients to respond to these trends and opportunities by completing the form below.
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Anatoly is the Head of the Global Healthcare Practice at First Line Software, where he oversees and brings together company’s engagements in Healthcare and Life Sciences under single leadership. Anatoly has more than 30 years of technology, product development, and solutions delivery experience, including over 18 years in the Healthcare Industry.