HospiMedica

Download Mobile App
Recent News AI Critical Care Surgical Techniques Patient Care Health IT Point of Care Business Focus

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
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Soft-Tissues Biopsy Needle
MR-CLEAR

Print article

Channels

Critical Care

view channel
Image: The new risk assessment tool determines patient-specific risks of developing unfavorable outcomes with heart failure (Photo courtesy of 123RF)

Powerful AI Risk Assessment Tool Predicts Outcomes in Heart Failure Patients

Heart failure is a serious condition where the heart cannot pump sufficient blood to meet the body's needs, leading to symptoms like fatigue, weakness, and swelling in the legs and feet, and it can ultimately... Read more

Surgical Techniques

view channel
Image: The multi-sensing device can be implanted into blood vessels to help physicians deliver timely treatment (Photo courtesy of IIT)

Miniaturized Implantable Multi-Sensors Device to Monitor Vessels Health

Researchers have embarked on a project to develop a multi-sensing device that can be implanted into blood vessels like peripheral veins or arteries to monitor a range of bodily parameters and overall health status.... 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