Nellore: The conference on Futuristic Nursing being held at Narayana Nursing College here has discussed at length aspects of patient safety as also use of artificial intelligence and tele-medicine, apart from mobile health and sensor-based technologies (smartphones, smartphone apps and wearable technologies).
More than 800 nurses are participating in the meet and around 40 eminent nursing leaders across the globe discussing the latest in nursing practices during the 3-day conference from Saturday.
In a paper on ‘Artificial Intelligence in Nursing’ presented jointly by Dr Ramesh M.Sc Phd, HoD Medical Surgical Nursing, St Paul's Hospital Millennium Medical College, Ethiopia, and Dr S. Indira, Dean of Narayana Nursing College, said AI offers three advantages over traditional methods -- the ability to quickly consider large volumes of data in risk prediction, increased intervention specificity (accurately flagging patients most at-risk) and automated adjustments in variable selection and calculation.
“AI can help detect which patient features are most important in public health applications, allowing for more focused preventive interventions. Robots may aid nursing care tasks in hazardous clinical environments and they have the potential to automate some tasks.”
“Automated notifications may facilitate safe catheter removal and urinary tract infection treatment.
Early detection of which patients may experience complicated discharges after surgery may help focus on additional care for them.”
“AI may more accurately predict fall risk without manual calculation and provide automatic warning systems,” said Prof. Ramesh and Dr Indira.
They have also highlighted the role of mobile health technologies (smartphones, smartphone apps, and wearable technologies) to help manage chronic illnesses by receiving and sending data directly between patients and care-providers, creating a comprehensive picture of the dynamic state of a patient’s health in their everyday environments.
According to the duo, sensor-based technologies, when placed in the home or hospital environment and used in combination, help nurses compose text and multimedia messages (for sharing photos and videos), measure body movement and collect weight, movement, and environmental (temperature, light, sound, air quality) data.
Experienced nurses, trained in critical care, advanced cardiovascular life support and trauma care should be formed as a group to review the EMR (Electronic Medical Record) and, if needed, assesses the patient and collaborate with clinical nurses and medical staff on pertinent aspects of care soon after receiving warning notifications on mobile phones when the index indicates patient deterioration.
Dr Indira underlined the need to develop an app on the lines of voice assistants and robotics voice assistants (think Amazon Alexa and Google Assistant) in future EHR applications to collect patient data from home and deliver interventions to augment care.
“Imagine a scenario in which a nurse uses Alexa to remind older adults to take their medications and measure their blood pressure. Alexa then records patient data in the EHR for the nurse to review,” Dr Dr Indira stated.
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