Santa Clara, Calif. – April 7, 2019 – Today is World Health Day, and this year's theme is "Universal Health Coverage: Everyone, Everywhere—#HealthforAll." An important aspect of "Health for All" is the role of technology, particularly patient monitoring (PM), which helps patients have better outcomes and live longer, healthier lives, even when access to hospitals and clinics is challenging.
Patient monitoring has evolved from ad hoc to continuous monitoring of multiple parameters, causing a surge in the amount of unprocessed and unorganized data available to clinicians for decision-making. To extract actionable information from this data, healthcare providers are turning to big data analytics and other analysis solutions. Predictive analytics is becoming a particularly important technology, as it not only presents the current state of the patient's health but also predicts future illnesses. The success of this technology, among many others, attracted $566.3 million in investments in 2018.
"As mHealth rapidly gains traction, wearables, telehealth, social media, and patient engagement are expected to find adoption among more than half of the population in developed economies by 2025," said Sowmya Rajagopalan, Advanced Medical Technologies Global Director. "The patient monitoring market is expected to be worth more than $350 billion by 2025, as the focus is likely to move beyond device sales to solutions."
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Frost & Sullivan's recent analysis, Patient Monitoring Industry—Analysis of Investment and Trends, 2018, offers an overview of the current investment trends and start-ups in select patient monitoring applications. It studies the future of patient monitoring across the continuum of care, the shifts in the market, and investment opportunities. It also presents the key disruptive technologies, application areas, drivers, restraints, as well as the top six Mega Trends.
"In the future, patient monitoring data will be combined with concurrent streams from numerous other sensors, as almost every life function will be monitored and its data captured and stored," noted Rajagopalan. "The data explosion can be harnessed and employed through technologies such as Artificial Intelligence (AI), machine learning, etc., to deliver targeted, outcome-based therapies."
In addition to these technologies, patient monitoring solution developers will look to incorporate disruptive technologies such as:
Brain-computer interface (BCI): From treating and monitoring users with mobility or speech disabilities, BCI now monitors and measures health metrics for healthy people and uses the information to analyze a person's psychological state or emotional, cognitive state.