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Reducing Alert Fatigue by Sharing Low-Level Alerts With Patients and Enhancing Collaborative Decision Making Using

Paul Kengfai Wan1, Abylay Satybaldy2, Lizhen Huang1

  • 1Department of Manufacturing and Civil Engineering, Norwegian University of Science and Technology, Gjøvik, Norway.

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A novel blockchain solution, MedAlert, reduces clinical alert fatigue by enabling collaborative alert sharing between patients and clinicians. This improves patient privacy and healthcare quality, though it may not suit all demographics.

Keywords:
alert fatigueblockchainclinical decision supporthealth careinformation sharingsmart contracts

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Area of Science:

  • Health Informatics
  • Blockchain Technology
  • Clinical Decision Support Systems

Background:

  • Clinical decision support (CDS) systems generate numerous alerts, leading to alert fatigue among clinicians.
  • Alert fatigue can cause clinicians to overlook critical alerts, increasing the risk of medication errors.

Purpose of the Study:

  • To explore a blockchain-based solution (MedAlert) for reducing alert fatigue in healthcare.
  • To enhance healthcare quality through collaborative alert sharing between patients and clinicians.

Main Methods:

  • A 4-step approach including a scoping review, framework design, and comparative evaluation.
  • Utilized Hyperledger for blockchain and BankID for digital identity management to address data integrity, user identity, and privacy.
  • Analyzed 8 selected academic papers from an initial 341 collected.

Main Results:

  • MedAlert securely distributes low-level clinical alerts, facilitating collaborative decision-making.
  • The framework addresses challenges like data integrity, user identity, and privacy.
  • MedAlert enhances patient privacy and transaction speed compared to other frameworks.

Conclusions:

  • MedAlert reduces alert fatigue by engaging patients and clinicians, not just by reducing alert volume.
  • Potential limitations include suitability for non-tech-savvy elderly patients or in-patients.
  • Further validation in real-world healthcare scenarios is required to assess MedAlert's performance and support its development.