The digital transformation of nursing practice: an analysis of advanced IoT technologies and smart nursing systems DOI Creative Commons
Bo-Yuan Wang,

Xiaomei Shi,

Xiaoling Han

et al.

Frontiers in Medicine, Journal Year: 2024, Volume and Issue: 11

Published: Nov. 29, 2024

Facing unprecedented challenges due to global population aging and the prevalence of chronic diseases, healthcare sector is increasingly relying on innovative solutions. Internet Things (IoT) technology, by integrating sensing, network communication, data processing, security technologies, offers promising approaches address issues such as nursing personnel shortages rising costs. This paper reviews current state IoT applications in healthcare, including key frameworks for smart platforms, case studies. Findings indicate that significantly enhances efficiency quality care, particularly real-time health monitoring, disease management, remote patient supervision. However, related quality, user acceptance, economic viability also arise. Future trends development will likely focus increased intelligence, precision, personalization, while international cooperation policy support are critical adoption healthcare. review provides valuable insights policymakers, researchers, practitioners suggests directions future research technological advancements.

Language: Английский

Effectiveness of Remote Patient Monitoring Equipped With an Early Warning System in Tertiary Care Hospital Wards: Retrospective Cohort Study DOI Creative Commons

Pavithra Lakshman,

Priyanka T Gopal, Sheen Khurdi

et al.

Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e56463 - e56463

Published: Jan. 15, 2025

Background Monitoring vital signs in hospitalized patients is crucial for evaluating their clinical condition. While early warning scores like the modified score (MEWS) are typically calculated 3 to 4 times daily through spot checks, they might not promptly identify deterioration. Leveraging technologies that provide continuous monitoring of signs, combined with an system, has potential deterioration sooner. This approach empowers health care providers intervene and effectively. Objective study aimed assess impact a Remote Patient System (RPMS) automated system (R-EWS) on patient safety noncritical at tertiary hospital. R-EWS performance was compared simulated Modified Early Warning (S-MEWS) threshold-based alert (S-Threshold). Methods outcomes, including intensive unit (ICU) transfers due discharges nondeteriorating cases, were analyzed Ramaiah Memorial Hospital’s general wards RPMS. Sensitivity, specificity, chi-square test frequency distribution equality, average time from first ICU transfer last 24 hours determined. Alert by tiers vitals groups examined. Results Analyzing 905 patients, 38 deteriorations, R-EWS, S-Threshold, S-MEWS generated more alerts deteriorating cases. showed high sensitivity (97.37%) low specificity (23.41%), S-Threshold had perfect (100%) but (0.46%), demonstrated moderate (47.37%) (81.31%). The initial least 18 RPMS participants. increased higher proportion critical Conclusions underscores role detection, emphasizing timely interventions improved outcomes. Continuous enhances optimizes quality.

Language: Английский

Citations

3
IoMT in Healthcare 5.0 DOI
Bitan Misra, Sayan Chakraborty, Nilanjan Dey

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 37 - 92

Published: Jan. 1, 2025

Language: Английский

Citations

0
Explainable AI for gastrointestinal disease diagnosis in telesurgery Healthcare 4.0 DOI
Meet Patel,

Keyaba Gohil,

Aditya Gohil

et al.

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 118, P. 109414 - 109414

Published: July 8, 2024

Language: Английский

Citations

3
Assessing AI literacy and attitudes among medical students: implications for integration into healthcare practice DOI
A Subaveerapandiyan, Dalitso Mvula, Naved Ahmad

et al.

Journal of Health Organization and Management, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 26, 2024

Purpose This study aims to assess AI literacy and attitudes among medical students explore their implications for integrating into healthcare practice. Design/methodology/approach A quantitative research design was employed comprehensively evaluate 374 Lusaka Apex Medical University students. Data were collected from April 3, 2024, 30, using a closed-ended questionnaire. The questionnaire covered various aspects of literacy, perceived benefits in healthcare, strategies staying informed about AI, relevant applications future practice, concerns related algorithm training AI-based chatbots healthcare. Findings revealed varying levels with basic understanding principles. Perceptions regarding AI’s role varied, recognition key such as improved diagnosis accuracy enhanced treatment planning. Students relied predominantly on online resources stay AI. Concerns included bias reinforcement, data privacy over-reliance technology. Originality/value contributes original insights students' attitudes, highlighting the need targeted educational interventions ethical considerations integration within education

Language: Английский

Citations

1
DL-Based DDoS Attack Detection in SDN-Assisted Heathcare 4.0 Telesurgery Networks DOI
Aditya Bhatt,

Aditya Gohil,

Shayalkumar Vaghasiya

et al.

Published: May 24, 2024

Language: Английский

Citations

0
Effectiveness of Remote Patient Monitoring Equipped With an Early Warning System in Tertiary Care Hospital Wards: Retrospective Cohort Study (Preprint) DOI

Pavithra Lakshman,

Priyanka T Gopal, Sheen Khurdi

et al.

Published: Jan. 17, 2024

BACKGROUND Monitoring vital signs in hospitalized patients is crucial for evaluating their clinical condition. While early warning scores like the modified score (MEWS) are typically calculated 3 to 4 times daily through spot checks, they might not promptly identify deterioration. Leveraging technologies that provide continuous monitoring of signs, combined with an system, has potential deterioration sooner. This approach empowers health care providers intervene and effectively. OBJECTIVE study aimed assess impact a Remote Patient System (RPMS) automated system (R-EWS) on patient safety noncritical at tertiary hospital. R-EWS performance was compared simulated Modified Early Warning (S-MEWS) threshold-based alert (S-Threshold). METHODS outcomes, including intensive unit (ICU) transfers due discharges nondeteriorating cases, were analyzed Ramaiah Memorial Hospital’s general wards RPMS. Sensitivity, specificity, chi-square test frequency distribution equality, average time from first ICU transfer last 24 hours determined. Alert by tiers vitals groups examined. RESULTS Analyzing 905 patients, 38 deteriorations, R-EWS, S-Threshold, S-MEWS generated more alerts deteriorating cases. showed high sensitivity (97.37%) low specificity (23.41%), S-Threshold had perfect (100%) but (0.46%), demonstrated moderate (47.37%) (81.31%). The initial least 18 RPMS participants. increased higher proportion critical CONCLUSIONS underscores role detection, emphasizing timely interventions improved outcomes. Continuous enhances optimizes quality.

Language: Английский

Citations

0
The digital transformation of nursing practice: an analysis of advanced IoT technologies and smart nursing systems DOI Creative Commons
Bo-Yuan Wang,

Xiaomei Shi,

Xiaoling Han

et al.

Frontiers in Medicine, Journal Year: 2024, Volume and Issue: 11

Published: Nov. 29, 2024

Facing unprecedented challenges due to global population aging and the prevalence of chronic diseases, healthcare sector is increasingly relying on innovative solutions. Internet Things (IoT) technology, by integrating sensing, network communication, data processing, security technologies, offers promising approaches address issues such as nursing personnel shortages rising costs. This paper reviews current state IoT applications in healthcare, including key frameworks for smart platforms, case studies. Findings indicate that significantly enhances efficiency quality care, particularly real-time health monitoring, disease management, remote patient supervision. However, related quality, user acceptance, economic viability also arise. Future trends development will likely focus increased intelligence, precision, personalization, while international cooperation policy support are critical adoption healthcare. review provides valuable insights policymakers, researchers, practitioners suggests directions future research technological advancements.

Language: Английский

Citations

0