Enhancing Clinical Decision Support Tools with AI, Machine Learning

1. Enhancing Clinical Decision Support Tools with AI, Machine Learning In today’s digital healthcare system, clinical decision support (CDS) tools have become incredibly important for organizations seeking to improve the overall healthcare system, help physicians to find potential problems, etc. As a matter of fact, “Nearly 18 million doctors and medical experts experience some kind of diagnostic error every year,” said Paul Cerrato, a popular researcher. That’s where the importance of CDS tools comes in!! Clinical decision support (CDS) tools can efficiently analyze loads of data and suggest better treatment, dig out potential problems, and enhance the efficiency of the care team. While these systems can be beneficial to the healthcare industry, CDS technologies have also come with substantial challenges. Many health professionals who aren’t well-versed with the technology can generate redundant alerts, unintuitive interfaces, and clinical burnout that may threaten the safety of patients and lead to lethal repercussions. How Alta Futuris’s AI & Machine Learning Can Bring Change in Healthcare Sector? There’s no denying that the human mind can do lots of things, but AI and Machine Learning altogether can drastically do a multitude of things like automated symptoms analysis, predictive analytics, and precise treatment suggestions. Alta Futuris is a leading AI and Machine Learning solutions provider that may help healthcare industries to follow a precision-based approach to medical diagnostics and patient care is a solution that healthcare providers can no longer afford to ignore. Since human intelligence is confined, algorithms that take advantage of machine learning and artificial intelligence (AI) can help address many of the challenges that professionals are currently facing.

2. Machine learning and artificial intelligence can make the existing systems more seamless and base outputs on much more information. With these technologies, the healthcare industry can easily examine more things in the EHR that most physicians probably aren’t aware of. These innovative analytics technologies are already assisting organizations to streamline complex processes and find out the possible pitfalls in the system. Many of the CDS tools that are based on machine learning or AI that are being extensively used for plenty of tasks, including revenue cycle management, schedule optimization, and predicting patient no-shows. Alta Futuris has been consistently providing Machine Learning and AI-enabled tools to predict patients who are more at risk. Before building the tool, the firm’s dexterous crew of AI experts focuses on gathering data and identifying the hospitals that had better or worse mortality rates. As technology continues to evolve, clinical decision support systems will become better and more intuitive soon, leading to improved patient outcomes. Final Thoughts When building an algorithm that will help support clinical care decisions, you might need to include experts from all sectors of the healthcare industry. The Healthcare industry must have a professional and experienced body that’s solely involved in this process or someone who is already working on it. When you choose a professional and reliable platform, i.e. http://www.altafuturis.com/ they may help figure out why the reason why the model isn’t working in a particular case and can help modify the algorithm based on their clinical expertise. More Details: http://www.altafuturis.com/blog/enhancing-clinical-decision- support-tools-with-ai-machine-learning/