Data-driven AI Powered Decisions in Healthcare to Reduce Error

There is only one sustainable solution to rise above the healthcare industry's massive data problem, i.e., the use of advanced technology - specifically, artificial intelligence (AI). Using intelligent algorithms to derive insights from patient records, hospitals, and medical practices can create the most value from their data and better discern where they may have knowledge gaps that can put financial viability and patient healthcare at risk. 

Therefore, this guide will explore how you can utilize healthcare analytics and business intelligence data-driven AI-powered decisions in the healthcare space to reduce error. Furthermore, we will also help you understand how AI and ML can aid in transforming the healthcare industry. 

How Can AI technology Mitigate the Risk of Medical Errors? 

According to Tech Policy Institute, numerous studies have demonstrated that machine learning (ML) and artificial intelligence (AI) algorithms can aid clinical professionals in making better decisions. They often surpass human experts in the diagnosis of specific illnesses or when it comes to predicting certain medical outcomes, such as longevity of stay or mortality. One type of medical error occurs when healthcare providers make an incorrect assumption about the proper procedure for ICU patients within the context of US ICUs. As a result, it is concluded that AI and ML can assist doctors by providing more accurate predictions of the effects of specific treatments and the likelihood of an improvement in patients suffering from sepsis. 
What Role Can AI Play In Improving Healthcare? 

Artificial intelligence is set to play a pivotal role in enhancing the world of healthcare. Healthcare analytics and business intelligence tools utilizing AI and ML technology can transform unstructured data into useful information. It combines all relevant data into a set that physicians and healthcare leaders can use to build models to study and identify trends in healthcare data sets. Moreover, obtaining a complete and accurate view of a patient's prior and present health data is crucial. AI can also give healthcare providers the ability to:  

Verify and process health data more quickly and with greater accuracy  

• Assess and improve the quality of care with industry-standard measurement sets  
• Create health summaries of individual patients  
• Provide medical professionals with access to more precise information to allow them to devote more hours to patients and significantly reduce the number of misdiagnoses 
• Develop accurate and actionable insight from care summaries  
•  Create a more pleasant patient experience based on the individual's health requirements and risk factors 
• Cut down on healthcare expenses that aren't needed.  

Artificial intelligence is used in healthcare to transform unstructured and messy data into more effective, precise, and high-quality treatment.  

A critical goal of talkEHR's PrecisionBI tool is to the ever-evolving healthcare space by using AI to aid healthcare providers cut costs while delivering the best patient experience helping to make better-informed decisions at all levels.   

Conclusion 

This guide walked you through the benefits of AI technology in improving care quality and decision-making for a healthy revenue cycle. If you are looking for the best financial and health analytics tool, get talkEHR’s PrecisionBI now.