We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Sekisui Diagnostics UK Ltd.

Download Mobile App




World's First Robotic Clinical Assistant for Hospitalized Patient Care Launched

By HospiMedica International staff writers
Posted on 24 Mar 2022
Print article
Image: ClinicalAssist aims to reduce human error and improve patient safety (Photo courtesy of Robot Doctor, LLC)
Image: ClinicalAssist aims to reduce human error and improve patient safety (Photo courtesy of Robot Doctor, LLC)

There are enormous pressures on nurses working in hospitals or nursing homes, especially due to the COVID-19 pandemics-related patient surge. A nurse traditionally monitors abnormal vitals and other critical abnormal data and is responsible for calling code and rapid response teams. While serving many patients, it is not possible to attend to multiple patients at the same time as any patient can have critical abnormal data at any time. Now, the world's first robot doctor aims to reduce this load on nurses and remain vigilant 24x7 even when nurses are taking care of other patients' needs, thereby minimizing human errors and prevent exhaustion or burnout among nurses.

Robot Doctor, LLC (Biloxi, MS, USA) has launched the world's first Robotic ClinicalAssist for hospitalized patient care. The ClinicalAssist is a computer on wheel that can be placed in the patient’s room at the hospital and is connected to telemetry monitors and electronic medical records. The Robot will actively monitor for the availability of abnormal data and collect appropriate medical history that will help to determine the patient’s clinical condition. If appropriate, the ClinicalAssist will call a code blue or rapid response team. The device is built on artificial intelligence programs which are designed to reduce human errors and the workload of nurses.

Artificial intelligence programs are already incorporated into almost every sector of human life such as auto-driving cars and their adoption in healthcare is long overdue. ClinicalAssist is the world's first Robot Doctor that was developed using a patented application that mimics the cognition of expert physicians. The Doctor Ai technology was used to develop Robot Doctor which was compared with human physicians to determine its efficacy in triage decision making. The study found no significant differences in the decision-making capacity of Ai and human physicians related to finding the correct diagnosis and recommending correct treatment.

The company envisions that all hospitals will adopt the technology to reduce deaths among hospitalized patients, including those with symptoms of COVID-19. The technology could solve the global healthcare crisis in the near future and help increase access to healthcare for millions living in remote locations. In addition, during any future pandemics, the Robot Doctor could help solve any crisis by reducing the workload of healthcare providers.

Related Links:
Robot Doctor, LLC 

Gold Member
Disposable Protective Suit For Medical Use
Disposable Protective Suit For Medical Use
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Multilevel Self-Loading Stretcher
CARRERA XL

Print article

Channels

Surgical Techniques

view channel
Image: Miniaturized electric generators based on hydrogels for use in biomedical devices (Photo courtesy of HKU)

Hydrogel-Based Miniaturized Electric Generators to Power Biomedical Devices

The development of engineered devices that can harvest and convert the mechanical motion of the human body into electricity is essential for powering bioelectronic devices. This mechanoelectrical energy... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.