Advances in big data analytics show the potential to capture clinically and operationally relevant information from diverse sources of unstructured clinical case notes. This analysis, presented in easy-to-grasp, clinical decision-support portals, can support clinical and operational improve ments that may help:
- Provide a more comprehensive longitudinal view of patients' lives and health, enabling clinicians and organisations to deliver more personalised, higher quality care
- Offer system-wide opportunities to enhance operational efficiency, improve resource utilisation, and benefit the nation's health economy
- Increase the satisfaction and safety of patients and clinicians
A collaborative proof-of-concept (POC) amongst the North East London National Health Service (NHS) Foundation Trust (NELFT), Intel Corporation, and Santana Big Data Analytics (Santana BDA) Ltd has demonstrated a practical, affordable approach to extracting relevant information from large volumes of clinical case notes. This paper describes the POC and suggests next steps for healthcare systems that want to use next-generation data analytics to improve healthcare.
Download: Data Analytics for Unstructured Clinical Case Notes (.pdf, 706 KB).
Download from eHealthNews.eu: Data Analytics for Unstructured Clinical Case Notes (.pdf, 706 KB).