Leveraging AI to Deliver Personalized Care

Creating Dynamic Patient Profiles to Unlock Healthcare Insights

Natural language processing (NLP) is used to extract text from unstructured documents and conversations, such as clinical notes, medical reports, research articles, patient records, patient / physician conversations, or wearable device data.

Andersen Consulting Delivers

AI algorithms clean and normalize the data so it can be analyzed. AI analysis on the cleansed data identifies relationships between patients, their medical history, and healthcare providers to create comprehensive patient profiles.  Analysis is inclusive of sentiment and tone expressed by patients or providers, enabling healthcare organizations to gain insights into patient satisfaction, sentiment trends, and areas for improvement. AI algorithms are used to cluster related documents and extract dominant topics, themes, or trends which can be especially helpful when patients are moving through various healthcare organizations where data is traditionally shared in inconsistent formats. 

In real-time, AI is used to transcribe, document, and create actionable insights or summaries of conversations between patients and physicians. These conversations are integrated with electronic health records and other healthcare information systems via AI-powered documentation systems ensuring comprehensive documentation and continuity of care. Beyond patient care, AI-powered retrieval systems index and search through unstructured documents like insurance policies, to retrieve relevant information in response to user queries, such as whether a procedure is within coverage.

Maximizing Value

• Improved efficiency and accuracy. AI algorithms parse through documents in a way that reduces errors and minimizes discrepancies that typically occur with the labor-intensive manual entry. This allows healthcare systems to see cost savings by reducing the need for manual data entry, transcription services, and related administrative overhead.
• Improved patient experience. By integrating parsed data into EHRs, AI enables clinicians to make more informed decisions and deliver personalized care. Interoperability and data sharing is enabled across healthcare systems via AI-powered document parsing facilitates comprehensive patient care and research.