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Many receptor binding ligands are hydrophilic; they do not cross the cell membrane but bind to cell-surface receptors. Thus, their message must be relayed by second messengers present in the cell cytoplasm. There are several second messenger pathways, each with its own way of relaying information. For example, the G protein-coupled receptors can activate both phosphoinositol and cyclic AMP (cAMP) second messenger pathways. The phosphoinositol pathway is active when the receptor induces...
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Water-soluble hormones cannot cross the plasma membrane, so they rely on protein receptors that span the membrane to trigger intracellular signaling pathways. These pathways then activate second messengers inside the cell, including cAMP or calcium ions.
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StudyAlert: From eCharts to Modern Messengers.

Florian Brenck1, Achim Michel-Backofen2, Christian Katzer1

  • 1Department of Anesthesiology, Operative Intensive Care and Pain Therapy, Justus-Liebig-University Giessen, Germany.

Studies in Health Technology and Informatics
|August 24, 2019
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Summary
This summary is machine-generated.

We created a tool to identify patients eligible for clinical trials by analyzing healthcare messages. This system automatically notifies investigators, improving study recruitment efficiency.

Keywords:
Clinical TrialElectronic Health RecordsHealth Level Seven

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Area of Science:

  • Health Informatics
  • Clinical Research Management

Background:

  • Clinical trial recruitment is often hampered by inefficient patient identification processes.
  • Manual review of patient data is time-consuming and prone to errors.

Purpose of the Study:

  • To develop and evaluate an automated tool for identifying patients eligible for clinical studies.
  • To streamline the notification process for study investigators.

Main Methods:

  • Analysis of Health Level Seven (HL7) message streams from patient management systems.
  • Implementation of a secure communication system for investigator notifications via email or messenger services.

Main Results:

  • Successful detection of potentially eligible patients based on HL7 data.
  • Automated and timely notification of study investigators.

Conclusions:

  • The developed tool enhances clinical trial recruitment by automating patient eligibility detection.
  • Secure and efficient communication channels facilitate faster investigator engagement.