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Smart Notes AI dictation tool introduced in four NHS trusts

Smart Notes AI dictation tool introduced in four NHS trusts

July 23, 2025July 23, 2025
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NHS Scotland partners with CGI on Digital Front Door platform

July 23, 2025July 23, 2025
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Healthcare’s Capacity Crisis: How AI Agents Enhance Clinician Productivity

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Tag: Synthetic Data

Empirical evaluation of artificial intelligence distillation techniques for ascertaining cancer outcomes from electronic health records

Empirical evaluation of artificial intelligence distillation techniques for ascertaining cancer outcomes from electronic health records

June 10, 2025June 11, 2025npj Digital Medicine

Phenotypic information for cancer research is embedded in unstructured electronic health records (EHR), requiring effort to extract. Deep learning models can automate this but face scalability issues due to privacy concerns. We evaluated techniques…

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Synthetic data distillation enables the extraction of clinical information at scale

Synthetic data distillation enables the extraction of clinical information at scale

May 10, 2025npj Digital Medicine

Large-language models (LLMs) show promise for clinical note information extraction, but deployment challenges include high computational costs and privacy concerns. We used synthetic data distillation to fine-tune smaller, open-source LLMs to achieve performance comparable…

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Improving medical machine learning models with generative balancing for equity and excellence

Improving medical machine learning models with generative balancing for equity and excellence

February 14, 2025February 15, 2025npj Digital Medicine

Applying machine learning to clinical outcome prediction is challenging due to imbalanced datasets and sensitive tasks that contain rare yet critical outcomes and where equitable treatment across diverse patient groups is essential. Despite attempts,…

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Convergence of evolving artificial intelligence and machine learning techniques in precision oncology

Convergence of evolving artificial intelligence and machine learning techniques in precision oncology

January 31, 2025February 1, 2025npj Digital Medicine

The confluence of new technologies with artificial intelligence (AI) and machine learning (ML) analytical techniques is rapidly advancing the field of precision oncology, promising to improve diagnostic approaches and therapeutic strategies for patients with…

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A scoping review of privacy and utility metrics in medical synthetic data

A scoping review of privacy and utility metrics in medical synthetic data

January 27, 2025January 27, 2025npj Digital Medicine

The use of synthetic data is a promising solution to facilitate the sharing and reuse of health-related data beyond its initial collection while addressing privacy concerns. However, there is still no consensus on a…

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Smart Data Challenge Launches £600k Innovation Prize

Smart Data Challenge Launches £600k Innovation Prize

January 23, 2025January 23, 2025DistilINFO Hospital IT

Overview
The UK government’s £600,000 Smart Data Challenge aims to revolutionize cross-sector data innovation, focusing on financial services, energy, retail, transport, and property markets.
Prize Structure & Timeline

Initial funding: Up to £50,000 for 10 finalists (May…

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Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation

Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation

January 23, 2025January 23, 2025npj Digital Medicine

Generating synthetic data from medical records is a complex task intensified by patient privacy concerns. In recent years, multiple approaches have been reported for the generation of synthetic data, however, limited attention was given…

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Privacy preserving strategies for electronic health records in the era of large language models

Privacy preserving strategies for electronic health records in the era of large language models

January 16, 2025January 17, 2025npj Digital Medicine

Electronic health records (EHRs) secondary usage with large language models (LLMs) raise privacy challenges. National regulations like GDPR and HIPAA offer protection frameworks, but specific strategies are needed to mitigate risk in generative AI….

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Bridging organ transcriptomics for advancing multiple organ toxicity assessment with a generative AI approach

Bridging organ transcriptomics for advancing multiple organ toxicity assessment with a generative AI approach

November 5, 2024November 6, 2024npj Digital Medicine

Translational research in toxicology has significantly benefited from transcriptomic profiling, particularly in drug safety. However, its application has predominantly focused on limited organs, notably the liver, due to resource constraints. This paper presents TransTox,…

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Privacy enhancing and generalizable deep learning with synthetic data for mediastinal neoplasm diagnosis

Privacy enhancing and generalizable deep learning with synthetic data for mediastinal neoplasm diagnosis

October 20, 2024October 20, 2024npj Digital Medicine

The success of deep learning (DL) relies heavily on training data from which DL models encapsulate information. Consequently, the development and deployment of DL models expose data to potential privacy breaches, which are particularly…

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Like innovation, we see data as telling us how to respond to the future rather than only revealing what has happened in the past. The information, trends and feedback we gather from consumers and patients to clinicians and staff marks the goal post for where we want to go. If the data tells a story, we decide how we can make that story a better one.

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Recent Posts

  • Smart Notes AI dictation tool introduced in four NHS trusts

    Smart Notes AI dictation tool introduced in four NHS trusts

    July 23, 2025July 23, 2025Comments Off on Smart Notes AI dictation tool introduced in four NHS trusts
  • NHS Scotland partners with CGI on Digital Front Door platform

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    July 23, 2025July 23, 2025Comments Off on NHS Scotland partners with CGI on Digital Front Door platform
  • Healthcare’s Capacity Crisis: How AI Agents Enhance Clinician Productivity

    Healthcare’s Capacity Crisis: How AI Agents Enhance Clinician Productivity

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