A Look At How Clinical AI Is Changing Patient Experience

As digital transformation makes its presence felt in the healthcare sector, patients are positioned at the receiving end of all the benefits. With the integration of artificial intelligence with clinical data and processes, the entire medical system is going to be lifted to provide the next level of healthcare services.

As AI models focus firmly on delivering the most positive patient outcomes, the whole healthcare system also pivots to become more patient-centric. 

Here is a look at how patient experience will be enhanced with Healthcare analytics –

1. Improved bedside assistance
   Bedside patient rescue (BPR) is an area that has experienced positive outcomes with the introduction of AI in healthcare – hospitals have reported a drop of 8% in mortality due to timely detection and faster patient intervention. The AI-based models measure the deterioration risk for all patients in the hospital, and alert caregivers in case intervention are needed.
   
   
2. Overall better patient care and experience
   More active patient engagement is linked directly to positive health outcomes! To achieve higher patient impact, clinical AI identifies gaps in patient care, which might lead to a negative hospital experience for the patients and their family. By aligning patients’ needs and values with the care provided, smart healthcare systems drive the entire healthcare system towards a patient-centered care model. 
   
   
3. Continued care outside the hospital
   Usually, the work of hospitals ended once you walked outside its doors - the family or the primary physician took over and worked in isolation. Now with clinical AI, the care continues in an integrated and seamless manner which works towards keeping the patient healthy in the long term.

The healthcare sector, on the whole, is moving towards a patient-centered model. One key factor for achieving quality based care is the standardizing and measuring of patient experience and engagement, and it has been widely adopted by Centers for Medicare and Medicaid Services’ (CMS’s). 

In this changing landscape, clinical AI models are of immense help to all stakeholders - healthcare administrators, caregivers, and patients.

How Healthcare Cognitive Science Is Changing Patient Experience

Data analytics has been playing a pivotal role in revolutionizing the user experience across industries, and the healthcare industry is also a part of this new digital revolution. The scenario in the healthcare industry is changing as cutting edge healthcare data analytics is playing a significant role to bring about a paradigm shift.

How can healthcare cognitive science become a game changer?

Leveraging the power of healthcare data analytics and machine intelligence, doctors and medical practitioners are not just able to provide better care, but they are now also able to identify patients who are on a heightened risk trajectory and thus can provide timely interventions. The power of machine intelligence is enormous. It lets doctors predict future health risks and enable them to alter it for a better patient outcome. 

Recently several healthcare technology innovators have come up with innovative solutions where they are using machine learning and massive data sets to identify such patients and suggest patient-specific intervention plans using prescriptive analytics.

Apart from producing better health outcomes, it is also able to save a lot of money that is spent globally every year on the healthcare system.

How will this prescriptive analytics machine be a life savior?

Medical practitioners are of the opinion that by using this smart machine backed by prescriptive analytics, caregivers are now able to provide better care to patients. Some of the scenarios in which cognitive clinical AI is helping healthcare professionals are - avoiding readmissions, identifying and attending more quickly to patients at risk of mortality, providing personalized intervention to patients, reducing instances of hospital-acquired diseases and so on.

The power of healthcare cognitive science and how far it can be leveraged is unimaginable. However, if done right, we would surely be taking a giant leap in medical sciences.