Tag: Interoperability

News NHS trust

Newcastle Hospitals enters into data partnerships

Newcastle Hospitals has entered into data partnerships with Flatiron Health and Promptly Health, to support the development of research-ready datasets to help improve patient care, focus on value of its data, and promote data-driven innovation. Recognising current limitations around data usage based on information being stored in different locations and […]

News

NHS England rare disease action plan highlights unified genomic record, test order management, central messaging infrastructure and standardised dataset

The latest progress report from NHS England on its Rare Disease Action Plan, highlights progress against its four priorities of faster diagnosis, increased awareness, better co-ordination of care, and improved access, as well as introducing three new actions, and outlining digital and data work streams. In its final year, the […]

News

Review of cancer services in Wales highlights risks from fragmented digital systems and the need for more consistent national data standards

A report titled “Cancer Services in Wales: A review of the strategic approach to improving the timeliness of diagnosis and treatment” has been published by the Auditor General for Wales, outlining that “despite increased investment, there is a continuing failure to meet the national performance targets for cancer”, highlighting risks […]

Interview News NP

Interview: “We’re rearchitecting Australia’s entire digital health ecosystem” – Peter O’Halloran, chief digital officer at the Australian Digital Health Agency

For a recent interview, we caught up with Peter O’Halloran, Chief Digital Officer at the Australian Digital Health Agency (the Agency), to learn more about current projects and priorities, what’s in the pipeline for digital and data across the next five years, progress toward Australia’s National Digital Health Strategy, and […]

News

HL7 shares guidance on standards-based AI and ML data lifecycle

Health Level Seven International (HL7) has published guidance on the artificial intelligence and machine learning data lifecycle, intended as an “informative document” to help developers in promoting the use of of standards to “improve the trust and quality of interoperable data used in AI models”. The paper provides a range […]