Artificial intelligence is the simulation of human intelligence processes by machines and a field that combines computer science and data to enable complex problem solving. The concept has been rapidly transforming the healthcare industry, and will only continue to do so. The use of AI is advancing treatment, patient experience, and creating more efficiency for companies and employees.
AI technologies enable healthcare systems to provide enhanced and quality care and will continue to reinvent modern healthcare through machines that can predict, mimic and act at a rapid pace. By 2030, the global artificial intelligence in healthcare market size is predicted to reach $208.2 billion. In 2023, we can anticipate to see AI healthcare trends evolve and develop even further, including:
Intelligent Report Automation
Natural Language Processing (NLP) and Natural Language Generation (NLG) can automate reports faster, streamline regulatory approval, improve consistency of writing, and eliminate the burnout often felt by medical writers across parts of the clinical submission process. Applying NLG to structured data from clinical trials in order to create written narratives reduces the burden on medical writers across the world by equipping them with the tools to create parts of the clinical study report (CSR) automatically.
Acceleration of Drug Development and Vaccines
Getting new drugs approved is a long, enervating process with zero margin for error. AI can speed up the drug approval process, while improving accuracy. In 2023, this trend can only continue in order to keep up with the demand for new drugs and vaccines. Automating CSR writing with AI-based technologies such as machine learning and Natural Language Processing saves significant time, reducing report writing times by an average of 30% – drastically expediting the process of developing drugs and vaccines.
The future of work is the augmented workforce. The augmented workforce is the integration of humans and technology that allows employees to streamline processes and implement efficiency to drive consistent outputs, which can be further implemented in healthcare facilities and among medical writers. It’s important to note that augmentation does not mean replacement. Artificial intelligence is not taking over jobs but rather, is amplifying them. Think of it this way – it can be like learning Microsoft Excel; it will be part of the tools as a medical writer and would need to be learned as a new tool, but is extremely beneficial in the long run.
Structural and transformational change is becoming vital, as healthcare systems will struggle to remain sustainable. The idea of human amplification through artificial intelligence is taking off and has never before been seen in history. To continue to keep up with the large demand of data, the three AI healthcare trends – implementing NLG, automation, and augmenting workforces – will be key.
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