Artificial Intelligence for Healthcare
Real-time RPM technologies coupled with AI could improve health management and outcomes by offering patients personalized and predictive feedback. AI might impact real-time monitoring through predictive capabilities that could, for instance, anticipate cardiac events in time to prevent them. Waqaas states, “This scenario will become the future of healthcare: medicine and care management will become personalized to maximize prevention and outcome improvement.” By pairing AI with RPM, patients may benefit from forewarning and take the necessary action to prevent an adverse health event. With access to real-time data and actionable feedback, patients could also benefit from greater control over their care management. As patients begin to adopt RPM technologies, AI will enable these technologies to learn and adapt based on individual user behavior. This data may be used to generate feedback that is tailored to the individual patient.
Revolutionizing Care Management Costs
According to The Centers for Disease Control and Prevention, approximately 86% of U.S. healthcare costs are spent on chronic disease treatment and management. The healthcare industry could use AI technologies to eliminate avoidable hospitalization of patients with chronic disease and by helping to manage these patients over the long term, at a distance, it could effectively drive down costs. Deep learning, which facilitates AI interpretation and analysis of the unstructured data that is delivered from medical grade wearable devices, would also spare physicians from data interpretation. Having AI step in at this stage and perform data analysis could help save physicians valuable time and, as Waqaas explains “enabling [physicians] to focus on the most critical patients and streamline the care process.”
Read the entire article here. Waqaas’ article is available on Digital Commerce 360. Digital Commerce 360 provides daily news coverage, trend analysis, industry resources, and competitive data across dozens of markets impacted by the digital revolution.
