The Catharina Hospital in Eindhoven, The Netherlands, has highlighted the importance of data collaboration and “learning together” through the ICUdata project, taking the lead on organising the delivery of data across healthcare organisations utilising the HiX EPR.
Noting the difficulties for clinicians in handling the amount of data generated thanks to technological advancements, Ashley De Bie, intensivist at Catharina Hospital, talked about the possibilities of looking at data automatically and recognising “important trends”, with computers able to “warn us sooner and give targeted advice to treat patients better”.
De Bie also shared the organisation’s focus on transferring knowledge around data organisation and analysis, stating that the Hospital is “reaping a lot of fruit” thanks to its data analysts, technical teams, and the recently launched Expertise Center for AI,.
Moving forward, cooperation and merging data will be key to improving patient care and achieving “valuable insights”, De Bie concludes, citing the example of a predictive computer model that supports intensive care clinicians in decision-making around discharge.
The Catharina Hospital is now reportedly looking at opportunities for broader European collaboration, which could offer even more possibility for “sharing knowledge and improving standards of care across national borders”.
For a recent interview, HTN International caught up with Kumar Satyam (Satyam), digital health consultant and chair for the technical committee at HL7 India, who discussed his views on the importance of interoperability and de-centralisation within healthcare, highlighting data quality and data provenance in “the revolution of AI”.
We also got chance to get a perspective on this from New Zealand when we interviewed Cheryl Fenwick Evans, previous clinical documentation specialist with Te Whatu Ora – Health New Zealand. Cheryl talked about her role working on the Clinical Documentation Improvement (CDI) programme, which focused on health information captured by clinical coders extracted from inpatient records, which accounts for around 30 percent of New Zealand’s population health data.
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