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Clinical Trials with the Apple ResearchKit



This article comes from Zühlke Blog and is the sole property of its author

Too many clinical trials fail – where are the errors and how to remove them?

When looking at the overall process of a clinical trial, we can separate the sources of errors into the following classes:

  • hypothesis: poor quality of the underlying hypothesis
  • knowledge about the patient
  • inherent statistical errors
  • data errors during a trial

Looking at those types of trials where a paper-version of a CRF (case report form) is used, then one obvious source of error lies in the transcription phase: while the Form Filler at the study site manually enters data (i.e. answers to the predefined questions) into the CRF, the Data Enterer transcripts these data into a validated database. Since this manual step is erroneous, using an electronic CRF (eCRF) with direct or indirect link to the database...

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Tags:  Digitale Transformation, Mobile (de), apple, clinical trials, Data Analytics, iPhone, Life Science, Patient Monitoring, pharma, ResearchKit

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