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A 360-degree view of the patient is essential in providing clinicians, payers, and patients themselves with actionable insights that can lead to improved outcomes.
Artificial intelligence (AI) is increasingly playing major roles in data digitization, prediction analytics, and decision support systems. For example:
- AI technologies like NLP (Natural Language Processing) and computer vision enable the data digitization process. NLP supports speech-to-text and vice versa, document and data conversions, patient notes, processing of unstructured data, and query support systems. Computer vision includes augmented reality (AR), virtual reality (VR), telehealth, and digital radiology.
- Machine learning (ML) algorithms can help reduce claims denials by facilitating more accurate detection of errors in billing and coding and also are used to optimize the pharmaceutical supply chain.
- Deep learning and cognitive computing tools can rapidly process huge data sets, helping to inform precise and comprehensive risk forecasting and providing recommended actions that improve patient outcomes.