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Issues And Trends In Healthcare Delivery System

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Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

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Published on: April 12, 2021

The digital patient.

Timothy Bonnici1, Lionel Tarassenko, David A Clifton

  • 1University of Oxford, UK. timothy.bonnici@ndm.ox.ac.uk

Clinical Medicine (London, England)
|June 14, 2013
PubMed
Summary
This summary is machine-generated.

Timely detection of deteriorating hospital patients remains a challenge. Advanced technologies like continuous monitoring and electronic health records can improve early identification, but successful implementation is crucial for patient safety.

Keywords:
Early warning score (EWS)emergency treatmentmonitoringpatient safetyvital signs

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Area of Science:

  • Clinical Informatics
  • Patient Monitoring Technologies
  • Healthcare Systems Engineering

Background:

  • Current methods for detecting patient deterioration in hospitals are often delayed.
  • Existing track-and-trigger systems rely on manual data entry and can lack sensitivity.
  • There is a critical need for improved, real-time patient monitoring solutions.

Purpose of the Study:

  • To explore the potential of various technologies to enhance early detection of deteriorating patients.
  • To evaluate how automated vital sign recording and analysis can improve patient outcomes.
  • To highlight the importance of proper implementation for realizing technological benefits.

Main Methods:

  • Review of technologies for automated vital sign acquisition (wearable monitors, electronic patient records).
  • Discussion of software algorithms for sensitive and specific patient deterioration detection.
  • Consideration of electronic data storage for intelligent alerting and remote surveillance.

Main Results:

  • Automated vital sign transmission and continuous monitoring offer significant improvements over current practices.
  • Electronic charting facilitates data accessibility for advanced processing and analysis.
  • Sophisticated algorithms can potentially outperform traditional paper-based systems in identifying at-risk patients.

Conclusions:

  • Technological advancements hold promise for revolutionizing the early detection of hospital patient deterioration.
  • Effective implementation is paramount; poor deployment can negatively impact patient care.
  • Future efforts should focus on seamless integration and robust system design for optimal results.