The covid-19 pandemic irrevocably transformed various parts of human life, one of which was medicine, because many patients were unable to leave their houses to attend health centers, which is how the usage of virtual care, or virtual care, was strengthened.
According to Care.AI, "virtual care allows patients to receive medical care in ways that provide greater comfort and value. Virtual healthcare connects patients with care teams, allowing positive continuum of care."
Because virtual healthcare is a relatively new concept in the field of medicine, numerous approaches are continually being refined in order to provide the best care to patients and any interested clients. For virtual medical care, artificial intelligence has become the most often utilized technique.
Patient monitoring, or RPM, is another term for virtual healthcare. RPM collects and analyzes patient data remotely using a variety of technologies, including artificial intelligence (AI). A general procedure for employing AI in patient health monitoring is as follows:
Collect pertinent health data from patients utilizing various technologies such as wearables, sensors, and mobile apps. Vital indicators such as heart rate, blood pressure, temperature, and activity levels may be included.
Create a secure and dependable means for transmitting data obtained from the patient's device to a central database or cloud-based platform. This can be accomplished via wireless connections, Bluetooth, or Internet access.
Ensure that suitable security and privacy safeguards are in place to meet regulatory requirements by storing acquired patient data in an organized fashion.
Remove noise, outliers, and inconsistencies from obtained data by cleaning and preprocessing it. This stage tries to improve the data's quality and dependability for subsequent analysis.
Analyze patient data using AI algorithms and methodologies. This can include methods such as machine learning, deep learning, or predictive modeling.
When substantial deviations or critical circumstances are discovered, configure the AI system to generate alerts or notifications for healthcare personnel. These alerts can be given via notifications, emails, or straight into the workflow of the healthcare professional.
Health experts assess alerts generated by the system, analyze patient data, and take necessary action, such as contacting the patient, modifying prescription doses, organizing visits, or giving remote counseling.
As more data becomes accessible and healthcare professionals step in, AI models should be updated and improved on a regular basis. Over time, this process enhances the system's accuracy and efficiency.
It should be noted that using AI for patient health monitoring necessitates careful consideration of ethical, privacy, and regulatory considerations. Following applicable criteria and securing patient consent are critical steps in protecting data privacy and trust.
Furthermore, health professionals must be included in the interpretation and decision-making process. Artificial intelligence (AI) should be viewed as a tool to assist healthcare providers rather than a replacement for human expertise and clinical judgment.