Building optimized, embedded clinical workflows
For years, the healthcare industry has faced mounting pressure to optimize processes and workflows in order to reduce rising costs and address increasing clinician burnout, challenges that have only intensified over time.
Leading health technology and cloud solutions embedded into clinical workflows can transform the healthcare experience and outcomes of patients. These solutions can standardize clinician decision-making processes, provide evidence-based information at the point of care, empower patient partnerships, automate administrative processes, and alleviate clinician and staff burdens. Having access to available health data is also crucial to identifying existing inefficiencies, reducing health inequities, and influencing care decisions.
However, health data and patient information are often siloed, unstructured, and difficult to access, creating workflow barriers and impeding evidence-based decision-making. Innovative health technologies powered by AI and natural language processing (NLP), plus data normalization and interoperability tools, can provide key insights to help health administrators reduce inefficiencies and waste while also personalizing care decisions.
