Data Analytics for Unstructured Clinical Case Notes

Clinical case notes are vital to delivering high-quality, coordinated patient care and optimising resources across the health economy. Yet case notes are unstructured and are often housed in incompatible record-keeping siloes, making the information unavailable for the sophisticated presentation and analysis that structured electronic medical record (EMR) systems can provide.

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).

Most Popular Now

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

Patients say "Yes..ish" to the…

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...