Machine learning

Ambient Voice Technology in Same Day Emergency Care: Enhancing Documentation Efficiency and Patient Flow

Background: Efficient documentation is essential in Same Day Emergency Care (SDEC) settings to maintain smooth patient flow. Manual typing, although reliable, is time-consuming and can negatively impact clinical efficiency.
Objectives: This Service Improvement Pilot study evaluates the impact of Heidi Health’s Ambient Voice Technology on documentation efficiency, clinician workload, and patient satisfaction during clinical consultations.
Methods: An observational analysis was conducted on 100 case notes in an SDEC setting. Documentation times using Heidi Health’s Ambient Voice Technology were recorded, while manual documentation times were estimated based on word counts and typical typing speeds. Clinician feedback was gathered on usability and administrative burden, and patient feedback focused on the consultation experience.
Results: Ambient Voice Technology reduced documentation time by 85.8%, saving an average of 5.27 minutes (equivalent to 5 minutes 16 seconds) per case compared to manual typing (p < 0.001). Clinicians reported high usability scores (mean = 9.1/10), reduced administrative burden, and improved consultation flow. Additionally, 90% of patients reported an enhanced consultation experience. Conclusions: Ambient Voice Technology significantly improves documentation efficiency, reduces clinician workload, and enhances patient satisfaction in SDEC settings. Future research should explore its application across a variety of clinical environments.

Please subscribe to see more.
Subscribe
Already a member? Log in here

Ambient Voice Technology in Same Day Emergency Care: Enhancing Documentation Efficiency and Patient Flow Read More

Artificial Intelligence: its Future and Impact on Acute Medicine

This commentary explores the potential impact of artificial intelligence (AI) in acute medicine, considering its possibilities and challenges. With its ability to simulate human intelligence, AI holds the promise for supporting timely decision-making and interventions in acute care. While AI has significantly contributed to improvements in various sectors, its implementation in healthcare remains limited. The development of AI tools tailored to acute medicine can improve clinical decision-making, and AI’s role in streamlining administrative tasks, exemplified by ChatGPT, may offer immediate benefits. However, challenges include uniform data collection, privacy, bias, and preserving the doctor-patient relationship. Collaboration among AI researchers, healthcare professionals, and policymakers is crucial to harness the potential of AI in acute medicine and create a future where advanced technologies synergistically enhance human expertise.

Please subscribe to see more.
Subscribe
Already a member? Log in here

Artificial Intelligence: its Future and Impact on Acute Medicine Read More

Shopping Basket
Scroll to Top