Artificial Intelligence for healthcare is poised to become transformational. Ways artificial intelligence will impact healthcare to analyze and act on medical data is exciting to learn about. The healthcare industry is ready for some major changes using technology. There are endless opportunities in healthcare to leverage AI technology to make patient care more precise, efficient, and impactful.
The healthcare sector today is facing challenges with the increasing rate of lifestyle-related diseases, and the growing world population. The best part remains that emerging AI technology offers a number of advantages over traditional techniques to create intelligent processes and workflows. The new methods involving AI make healthcare cheaper and more effective. Artificial intelligence has the potential to transform many aspects of patient care, as well as administrative processes. A number of research studies suggest that AI can perform better than humans at key healthcare tasks, such as monitoring patient vitals and status, patient safety, queue management.
As per Market Data Forecast, AI in the global healthcare market was valued at $2.4 billion in 2019 and is expected to reach $31.02 billion in 2025.
AI applications are already playing a major role in the healthcare industry, and they will impact healthcare in the future in different ways. Below we have outlined different ways that artificial intelligence will impact healthcare industry.
“AI will not replace doctors, but instead will augment them; enabling physicians to practice better medicine with greater accuracy and increased efficiency.” –Benjamin Bell
Ways AI will Impact Healthcare
Here are ways in which Artificial Intelligence can impact and revolutionize the healthcare sector all around the globe.
Remote monitoring using smart devices
Smart devices are taking over every industry, offering everything from real-time video from inside of premises to cars by detecting when the driver is distracted.
In the healthcare sector, smart devices are critical for remotely monitoring patients’ health 24/7. AI can monitor, capture medical and other health data from patients and directly transmit the information to healthcare providers. The ability to identify complications in patient vitals, and trigger alerts can significantly improve the outcome and reduce costs related to hospital-acquired activities.
Leveraging intelligent algorithms in the devices like CCTV cameras can ultimately reduce burden of healthcare providers while ensuring patients receive care in a timely manner.
Predictive modeling AI
AI is an ideal tool for optimizing patient management in the hospitals. A number of AI algorithms are available for managing patient flow in the various departments of a hospital. Predictive modeling AI in healthcare is an important step toward identifying the risk of disease or adverse outcomes in patients. One of the most common AI predictive models is predicting the flow of patients into the emergency department; integrating patient flow to the hospital; monitoring patients in the ward and predicting the availability of beds for patients. Patient flow monitoring also helps to manage long waiting queues saving time for both patient and care provider.
Resource optimization and patient flow monitoring are challenging issues. Resource requirement forecasting is important to reduce healthcare costs by optimizing the use and availability of healthcare resources. Early identification of the patient conditions and patients requiring admission to the emergency department help in optimizing hospital resources.
Safety & Security Optimization
Ensuring patient safety as well as protecting staff and visitors is one of the major concerns in the healthcare sector. AI technology has the potential to optimize safety & security systems within hospital premises. AI-based tools like face detection, object detection, crowd formation alert, fall detection, weapon detection, and loitering alert play a significant role. AI ensures a safe & secure environment while maintaining safety protocols at the facility.
Since the pandemic, the need for technology-based safety optimization has increased rapidly. AI-vision enables real-time alerts on deviations around PPE norms such as masks, gloves detection and social distancing. With advanced AI-based image processing and analyzing the flow of infection & disease can be done in real-time by triggering an instant alert for any emergencies.
Detecting early fire or smoke is very important to save life and infrastructure. A fire detection system required an adequate and fast mechanism to detect a fire early and trigger an alert. But the traditional fire detection systems had limitations and their recognition accuracy is deficient. AI-based fire detection comes to the rescue here. With an advanced AI model, detect potentially hazardous smoke emissions by analyzing images taken by the camera. As soon as a threat is identified, automatic alerts are sent to take corrective action. By automating smoke and fire detection process, healthcare organizations can take a proactive approach to increase operational safety.
Say no to drug diversion with AI
There is a need to protect patients from the risk of drug diversion and prevent caregivers from misusing pharmaceuticals. But it is easier said than actually done. It is not practical to have someone keep a check on every doctor, nurse, or medical technician. Not only it will be expensive, but it will give a feeling of distrust and affect the whole organization. Another manual option would be to go through the logs every time someone uses a drug and find any suspicious behavior; but this too is impractical.
But artificial intelligence does have the strength to make this process easy and practical. Using AI algorithms to better understand the flow of substances through the organization with 24/7 monitoring is the solution. It is an important step for healthcare organizations to take. With these insights, organizations can identify abnormal usage patterns that may indicate any instance of clinical drug diversions. Be it drug theft, personal use, or adulteration & substitution, AI raises the flag instantly. Healthcare organizations that quickly detect such instances can intervene, protecting themselves, employees, and most importantly patients from any risk.
The Future of AI in healthcare
We believe that AI has a vital role to play in healthcare providers of the future. To be able to leverage healthcare AI for future trends, clinicians just need to adapt to this technology. Instead of taking over jobs, AI systems rather augment the efforts to make clinicians better at what they do. This improves patient health, care and experience. Ways Artificial Intelligence Will Impact Healthcare is surprising. Artificial Intelligence healthcare solution companies are providing the industry with the best healthcare solutions for more efficient working and better experience for both healthcare providers as well as patients.