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Healthy Data: Improving Health Information Quality Using Intelligent Systems

NCT05144230 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 60000

Last updated 2021-12-22

No results posted yet for this study

Summary

Electronic Health Record Systems (EHR) play an integral role in healthcare practice, enabling health organisations to collect, access and manage data more consistently. There is also a great deal of interest in using EHR data to improve decision-making and accelerate medical interventions. However, like all information systems, they are prone to data quality problems such as incomplete records, values outside normal ranges and implausible relationships. These problems are expected to become more prevalent as more organisations adopt electronic health record systems, aggregate, share and explore health data. The investigators believe current efforts to improve health data quality can be made more effective if backed by appropriate technology in the form of a readily accessible intelligent tool. Building on this, the investigators developed an Artificial Intelligence (AI) tool for automating data quality assessment of health data. In this study, the investigators evaluate the AI tool using a real-world dataset.

Conditions

  • Data Quality

Sponsors & Collaborators

  • Portsmouth Hospitals NHS Trust

    collaborator OTHER_GOV

  • University of Portsmouth

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-02-28
Primary Completion
2022-04-30
Completion
2022-04-30

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05144230 on ClinicalTrials.gov