Among healthcare organizations surveyed, 42 percent are using machine learning to reimagine processes and process change. Furthermore, 42 percent of US healthcare firms surveyed say they are using machine learning in at least one business process and 42 percent are using it to transform the human-machine work relationship. More than half (52 percent) are harnessing data to create exponential improvements in speed and key performance indicators (KPIs). Many healthcare organizations report that machine learning-enabled processes are reducing costs/improving revenue and also improving KPIs. More than half (51 percent) of healthcare organizations say that machine learning-enabled processes have helped to reduce costs to "service products after sales" by at least 50 percent.
Artificial intelligence is driving changes in almost every industry, healthcare included. The cost of healthcare has been rising rapidly for decades on end. Some studies have concluded that healthcare will account for over 20% of the GDP of the US by 2025. At the same time, healthcare professionals are working hard to treat the increasing number of patients with their high patient care expectations. Artificial intelligence could be the solution that the industry is desperately searching for.
Artificial Intelligence is impacting healthcare in the same way that OBD impacted automobiles a few decades ago. With the combination of data and machine learning, AI is moving healthcare to a much more automated, efficient, interactive, and intelligent state. But how will AI impact the future of Healthcare? The most significant way Artificial Intelligence has transformed healthcare is through data analysis and management. AI can store, connect, and skim through patient data to identify medical problems and diagnose them through highly accurate clinical decisions.
Artificial Intelligence or AI has emerged as the one technology that has the potential to completely change the world as we know it. This technology has already made its presence felt in other industries such as manufacturing, logistics, retail, etc. Now AI is trying to enter the healthcare segment to give it a complete overhaul and make it more efficient. We have already witnessed the rise of robotic-assisted surgeries. AI also has the potential to improve doctor-patient interactions and enhance hospital efficiencies with the use of self-learning algorithms that have the capability to perform clinical and administrative healthcare functions.
The promise of artificial intelligence (AI) and machine learning to improve care and outcomes, lower the cost of care, and increase patient and provider satisfaction is fast-tracking these disruptive technologies for significant growth in healthcare in the immediate future. In a recent Healthcare IT News/HIMSS Analytics survey, about 35% of healthcare organizations plan to leverage artificial intelligence within two years – and more than 50% intend to do so within five years.* These technologies can categorize and analyze huge amounts of both structured and unstructured data to glean clinical insights to improve individual and population health through better diagnoses, disease pattern identification and treatment methods. They can improve infrastructure, workflows and data management, and other tasks and processes – increasing productivity, consistency and quality, and reducing costs and errors. They can improve the provider-patient experience, allowing physicians to spend more time with patients by automating time-intensive tasks like medical image analyzation, data entry, and procedure and condition monitoring.