Using NLP to Improve Radiologist Productivity & Reduce Burnout
Radiology is a key diagnostic tool for many diseases and has an important role in monitoring treatment and predicting outcomes which have led to an increase in diagnostic imaging demands.
More than 80% of all hospital and health system visits include at least one imaging test and estimates suggest that, overall, hospitals and health systems spend $65 billion each year on imaging. However, the availability of diagnostic radiologists isn’t proportional to demand, which impacts the quality of diagnosis, causes delays in patient care, and leads to a high rate of burnout among radiologists.
Radiologists are moving out from traditional RIS setups to digital solutions. AI & Cloud platforms can reduce the administrative burden and enable them to focus on faster and better clinical diagnoses.
Radiology systems and departments are focusing on optimizing workflows to handle heavy workloads. In this talk, we will focus on one subfield of AI – Natural Language Processing, and its ability to improve radiologist productivity and reduce burnout.
We will discuss 2 areas of excellence via the application of healthcare interoperability and NLP: Clinical excellence which involves the extraction of unstructured clinical information from health systems, reconciliation with medical images, and supporting intelligent clinical decision support to enable faster & accurate diagnosis.
Operational excellence involves, information augmentation, worklist prioritization, and workflow optimization thereby reducing administrative burden and enabling effective workload management.
Vice President – Head of Data Science at CitiusTech
Manisha has over 18 years of experience in healthcare consulting & analytics across Payers, Providers, and Medical Technology organizations.
Manisha’s core area of expertise includes the application & operationalization of AI & analytics in healthcare systems. In her tenure at CitiusTech for over a decade, she has helped customers comply with healthcare regulatory & interoperability programs, migrate to digital platforms and carve out AI roadmap from design to production.
Prior to CitiusTech, she has implemented Medicaid & Medicare programs for the states of Kentucky, Connecticut & Florida. Manisha has a Bachelor’s degree in Electronics Engineering and is a certified PMP & HL 7 professional.