Artificial intelligence, as technology has immense potential, and is rapidly making roads in healthcare technology. With self-running devices to performing surgeries to keeping medical and patient’s reports, AI has revolutionized the whole pharmaceutical sector. According to research, the AI healthcare market will have an annual growth rate of 40% and will reach $6.6 billion by the next year.
What AI brings Along With It In Healthcare?
Smart Analytics: Data is the pillar on which successful research thrives upon. In the field of medical research, the data amounts to trillions of GBs which require AI to process it to present meaningful insights.
Eliminates Redundant Tasks
With the integration of AI in Healthcare, the redundant tasks like paperwork, monitoring and inventory management, can be managed by AI. It frees up the crucial time for medical staff and doctors so that they can focus more on their core competency, i.e. treating patients.
Wide Array of Applications: Mobile apps and wearable devices have aided medical staff in diagnostics management. The amalgamation of AI with mobile apps and smart devices will take the whole patient monitoring process to another level while reducing the stress of visiting clinics again and again.
How Will AI Aid Healthcare Marketers
The AI will shape and predict the medical equipment or services shopper through the research and trend analysis. Artificial Intelligence will bring out insights for healthcare marketers that have never been seen in the past. A few benefits of AI to look out for:
Based on data mining algorithms, it will help marketers to gain access to patterns and trends in big data sets. Predictive analysis can deliver insights starting from buyer’s decisions to what influenced them to pick that specific brand and everything in between.
Advanced Campaign Management
If you are running any campaign, say, a video marketing campaign then with the help of AI, you can make a frame-by-frame analysis of the content. This will help you gain deep insights to aid you in audience targeting.
Chatbots: Customer satisfaction is a significant part of any marketing campaign. AI integrated chatbots are playing a vital role in working as the primitive level of support for any customer query. Chatbots have eliminated the need for having automated voice-based support. Those automatic voice responders not only seem like interacting with machines but also feel irritating.
Some Application Of AI In Healthcare
Mental healthcare management: As per research, almost 20% of the US population suffers from severe or mild mental illness. Not only the treatment is expensive, but people also don’t have enough time out of their busy schedules to focus solely on it. AI can bridge the gap between medical services delivery and patients.
Mental healthcare apps and digital behavioral solutions have shown some groundbreaking results in the past couple of years, especially for patients suffering from depression, mild disorders, and substance abuse.
Language Processing Software
Medical staff have to deal with a vast amount of documentation on a day to day basis, with the help of this language processing software, doctors can automate their EHR burdens.
Identification Of High-risk Victims
Artificial Intelligence can come handy in identifying people who are highly vulnerable to domestic violence. In such cases, under reporting is a significant problem. AI can track a pattern of injuries of any individual to estimate the criticality of their situations.
Acute Stroke Care
People are getting more vulnerable to all sorts of strokes. In some extreme cases, if patients are not attended to, they might die. Artificial intelligence is enabling medical staff in getting access to high-quality images for hassle-free identification of strokes.
In remote locations, AI can act as an on-site specialist and can ensure that a primary treatment is made available to the patients.
Real-time Exchange Of Health Data
Medical fraternity, now and then, has to tackle deadly diseases which require a seamless exchange of real-time data across geographical locations. AI, combined with FHIR, ensures the fluidic transfer of health data. Besides, the security of data is a significant concern in such cases. AI provides adaptive security measures to curb down any such illicit attempts.
Cutting Edge Technology for Eye Care
With every byte of data that is being uploaded online, AI is getting more and more accurate. Since image processing is one of the native capabilities of AI, Ophthalmology will be one of the critical areas which will be massively benefited by this technology.
Fast-Paced Neural Research
Although medical science has done some fascinating work in the field of neurosciences, there is a lot to be explored. AI is capable of interpreting complex structures and data sets that have aided medical researchers in making progress in leap and bounces in this field.
Automated Malaria Detection
It is one of the most common diseases but kills millions of people every year. In-depth learning features of AI can automate the sampling and detection of malaria parasites in blood samples on a mass level. As per reports, AI systems, with 90% Malaria pathogen detection accuracy, has been developed by the medical fraternity.
According to research, suicides claim almost 50,000 lives in the US annually. Mental illness and socio-economic factors are the most prominent reasons for suicide. AI can aid in early detection of high-risk individuals by traversing their social media posts and medical records. Research is going on for developing AI-based apps to provide therapy and support to people having mental problems.
Coming back to the benefits of AI in healthcare marketing, information is the key to making sales and reaching a more extensive buyer base. And artificial intelligence feeds off information. Advanced analytics solutions which are integrated into AI can make a lasting impact on audience targeting.
However, there are many prejudices and fears related to artificial intelligence in the minds of the general public. Looking at the benefits of technology, there is a dire need for changing the public perception of AI.