Artificial intelligence (AI) continues to progress, and its advancements have propelled the idea of the AI-powered world from fiction to reality. Artificial intelligence can be in the form of data miners who predict spending habits or personal assistants on mobile phones, and it has become more deeply integrated into everyday lives. You can also use healthcare ads when trying to market your business on social media. Over time, AI has begun to make its way into various applications, and nascent healthcare technologies are some of the exciting applications. A few years ago, there were less than two dozens of AI startups focused on healthcare, but they have over time increased significantly to become over 100 AI healthcare firms. AI startups concentrated on healthcare are innovating oncology research, drug discovery, data storage and management and routine checkups to take the healthcare industry to the next level. Below are ways AI is transforming data management in the healthcare industry.
Identify Duplicate Records
Duplicate health records are not only unnecessary, but can also lead to forked records and outdated entries. However, healthcare facilities are utilizing AI-powered technologies to eliminate duplicate files. Manual identification of duplicates can cause frustration and pain for any user of CRM software. Nonetheless, healthcare practices can combat this through the use of an automatic duplicate identification approach. CRM’s AI-powered duplicate systems are one of the strategies that healthcare professionals use to eliminate records duplication. In fact, hospitals can turn on these systems to ensure that their critical data is accurate and free of duplicate entries.
Automatic Data Capture
Research has shown that the healthcare industry loses approximately $14.2 million every year to poor data capture. Nonetheless, AI technologies have enabled healthcare facilities to improve the quality of health reports and share clinical information through docstoc alternatives that use intelligence to capture data. In the past, clinical officers and therapists would use Excel to track all health records in lists. However, keeping health records in Excel was problematic, as data could not scale well, stay up-to-date in real-time and had zero visibility. Nonetheless, AI-powered healthcare technologies have made it possible to capture health data without manual intervention. Clinical officers and lab technicians can now use AI-powered techniques to track the most important leads, emails, and opportunities and avail more time to address the concerns of their patients.
Detect Anomalies
Human errors can affect the utility and quality of health records. However, the ever-vigilant eye of AI-powered technologies can help doctors to spot and correct anomalies in health reports and drug prescriptions. Research centers and hospitals can now leverage machine-learning technology to detect errors in research reports, assess the anomalous values and improve the quality of their findings.
Drug Discovery
Drug researchers and pharmaceuticals are leveraging big data analysis to reduce the time taken to find solutions to epidemics and store critical data. Health professionals are using predictive analytics to improve their data management and storage solutions and accelerate drug discovery. Artificial intelligence has transformed the healthcare industry, and its impact isn’t limited to top research firms, either. Even small players in the healthcare industry can use open-source projects to delve into the AI world and use it to reshape their data storage solutions. The integration of AI into the healthcare industry has increased the quality of health care, reduced data storage costs, and made healthcare affordable to everyone.
Human Data Protection
Data security is one of the bad news about human genes. While one can replace a stolen social security number or credit card, that’s not possible with DNA. Nonetheless, drug manufacturers are using AI-powered technologies to map out potential disease and protect their sensitive data. The security, privacy, and encryption of human data will become more critical even as AI for healthcare continues to advance. Already, people are leveraging AI-powered technologies such as DNA to find out their ancestry. The adoption of AI-powered healthcare technologies is on the rise and is improving data storage and management for hospitals, patients, and the overall healthcare industry. Scale-out storage solutions have simplified the way healthcare professionals manage and store their data.