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Why intelligent automation is the future for regulation

pharmaphorum

To improve data confidence regulatory executives should take a four-step approach to change how they: Collect Data: Life sciences organisations should utilise cloud-based solutions with global access that facilitates one repository with a single source of truth and eliminates the use of local file sharing and servers.

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How blockchain can revolutionise medical records and save lives

pharmaphorum

Many practitioners have expressed the feeling that EHRs cause far too much of their time ultimately being spent on data entry. Additionally, issues such as poor quality documentation due to template-based reporting, and incompatibilities between different systems have further caused headaches and increased inefficiencies.

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Life in phase III: How effective data management can support NHS Trusts to hit their targets

pharmaphorum

This document, which went out at the end of July, outlines exactly what providers need to be doing. Refining data cleansing strategies – Using those data dashboards, Trusts should augment data cleansing and validation strategies to ensure any issues identified in data entry are quickly tackled.

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Revolutionizing Nursing: Eliminating Strain and Burnout Through Technological Efficiency

indispensable health

Liberating Nurses from Administrative Shackles Nurses are skilled caregivers, not data entry specialists. Technology offers a lifeline by automating documentation, report generation, and data entry: A. Yet, administrative tasks often consume precious time that could be better spent at the bedside.

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Important factors to consider when working with CRFs

pharmaphorum

Well-designed forms must: Gather data that’s complete, accurate, and of high quality. Be unambiguous and allow for accurate data entry. Avoid gathering more data than what is needed. Provide form completion guidelines to reduce data capture and data entry issues. Avoid duplication. Get user feedback.

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Important factors to consider when working with CRFs

pharmaphorum

Well-designed forms must: Gather data that’s complete, accurate, and of high quality. Be unambiguous and allow for accurate data entry. Avoid gathering more data than what is needed. Provide form completion guidelines to reduce data capture and data entry issues. Avoid duplication. Get user feedback.

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Considerations for safety data migration methods

European Pharmaceutical Review

Any discrepancies should be documented using a Known Difference document and the solutions or acceptance of the discrepancy are then agreed upon. Once all cases have been entered and reviewed and any discrepancies resolved, the data transfer is considered complete and a data migration summary report should be issued.