In this age of digitization, artificial intelligence is now a part of everyday life. In healthcare, AI is changing the game with its applications in decision support, image analysis, and patient triage. Since AI aims to mimic human cognitive functions, there is a general myth, it will replace clinicians, physicians and medical technicians. However, in practice, AI is here to help them.
AI is changing and saving lives not intended to replace human. It helps make smarter decisions at the point of care, taking the hassle to quickly decipher large amounts of data with in the electronic records, chatbots to check symptoms and improve patients experience, aiding in the screening and diagnosis process saving both time and money for both patients and physicians.
Querying large video datasets
With low latency and low cost
Optimize Business Performance
Easy Integration
With existing infrastructure
Empowered Surveillance Team
Many of our client facilities use video surveillance and heavenly rely on security staff to note unusual behavior. This method is prone to many challenges like cost and lack of human attention span. As a result, surveillance systems failed to prevent undesirable incidents.Â
Quadratyx video analytics solution (a deep-learning based solution), takes feed from the Cameras, processes the contents of the video and provides hospital with real-time actionable alerts against temporal and spatial events. The hospital could also now automate the employee check-in and check-out process and identify unique patient footfalls.
In order to achieve expected ROI, a leading US based healthcare product manufacturing company realized the need to rethink their global product launch strategies. Traditional absolute pricing models were no longer yielding expected results and they contacted Quadratyx to assist in building dynamic pricing model.
The goal is to study the existing data and develop a decision making descriptive analytics dashboard using Tableau to get a deeper understanding of their business’s revenue, including
Identify the
Influencing Factors
Business Decisions
Based on a scientific approach for pricing
Positive financial outcome with
Improved Top Line
Accuracy
Achieved by
86%
Medical Claim Duration
Reduced by
5
Days
100%
More
Amount Collected
A leading knowledge process management firm wanted a better prediction of medical claim processing and align staff managing this process. Inaccurate claim estimations led to over staffing and the firm ran into spending unnecessary time on claims which had a lower probability and eventually lacked a scientific approach to solve the problem.
Quadratyx designed advanced ML models to predict the recovery amount with minimal time spent on resolutions of gaps in claims
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