Acceptability of data linkage to identify women at risk of postnatal complication for the development of digital risk prediction tools and interventions to better optimise postnatal care, a qualitative descriptive study design.
Siobhan O'ConnorGeorge TilstonOlivia JonesAnita SharmaLaura OrmesherBradley QuinnAnthony WilsonJenny MyersNiels PeekVictoria PalinPublished in: BMC medicine (2024)
Current health system constraints in England contribute to suboptimal postnatal care. Integrating data linkage and improving education on data and digital tools for maternal healthcare shows promise for enhanced monitoring and improved future health. Recognised for streamlining processes and risk prediction, digital tools may enable more person-centred care plans, addressing the gaps in current postnatal care practice.
Keyphrases
- healthcare
- quality improvement
- palliative care
- preterm infants
- big data
- electronic health record
- affordable care act
- pain management
- genome wide
- skeletal muscle
- artificial intelligence
- pregnancy outcomes
- health insurance
- metabolic syndrome
- risk assessment
- pregnant women
- climate change
- body mass index
- hiv testing
- chronic pain
- antiretroviral therapy
- high density
- human health