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Voices Unheard: Exploring New Data Sources in Nursing Through Speech Processing.

Maxim Topaz1, Maryam Zolnoori1, Zidu Xu1

  • 1Columbia University & VNS Health, New York, NY, USA.

Studies in Health Technology and Informatics
|July 25, 2024
PubMed
Summary

Speech processing technology enhances nursing research by capturing vital patient-nurse communication, improving documentation accuracy and data for quality care. This technology bridges gaps in electronic health records for better healthcare insights.

Keywords:
Clinical Decision SupportElectronic Health RecordsHealthcare TechnologyPatient-Nurse InteractionsSpeech Processing

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Area of Science:

  • Nursing Informatics
  • Health Communication
  • Speech Technology Applications

Background:

  • Traditional documentation methods in nursing often fail to capture the nuances of verbal patient-nurse communication.
  • A significant gap exists in electronic health records (EHRs) for comprehensive patient-nurse interaction data.
  • Verbal communication is critical for understanding patient needs and improving care quality.

Purpose of the Study:

  • To explore the role and effectiveness of speech processing technology in capturing and analyzing verbal patient-nurse communication for nursing research.
  • To identify the potential of speech processing technology to enhance data accuracy and richness in healthcare settings.
  • To assess the versatility and challenges of implementing speech processing in diverse healthcare environments.

Main Methods:

  • Conducted case studies across various healthcare settings, including home healthcare, outpatient clinics, and specialized care units (e.g., dementia care).
  • Utilized speech processing technology to capture and analyze verbal patient-nurse interactions.
  • Compared data captured by speech processing with existing electronic health record documentation.

Main Results:

  • Speech processing technology effectively bridges the documentation gap in EHRs for patient-nurse encounters.
  • The technology enhances the accuracy and completeness of recorded communication data.
  • Demonstrated versatility across different healthcare settings, showing potential for improved care assessment and risk prediction.

Conclusions:

  • Speech processing technology offers a promising solution for capturing rich verbal communication data in nursing.
  • Potential applications include real-time decision support, enhanced communication training, and improved telehealth.
  • Integration of speech processing can advance patient care, healthcare data management, and nursing research methodologies.