Today customers are increasingly looking to enable remote working, especially for the care-givers and bringing tele-medicine to the mainstream. Alongside they are looking to control the cost of operations and that is being addressed by automation and shift left, so that more work can be undertaken for same or lower cost of operations. GAVS is committed to enable healthcare customers deliver high-quality services and experiences. Their Desktop-as-a-Service offering, zDesk, is a full-stack, scalable, AI-integrated solution, compliant with HIPAA and HITECH standards. It allows healthcare professionals to securely access data anywhere, anytime. “Our zDesk provides a 50-75% reduction in the typical TCO of a VDI implementation.” says Sumit Ganguli, CEO at GAVS Technologies.
Healthcare & AI
AI has brought in significant impact in the healthcare domain. There are many areas where it is helping providers and patients – diagnosis and decision support, clinical trials, reports and analytics, patient engagement via devices and web apps, image and video analytics for diagnosis and more.
GAVS is working on the following use cases –
1. Suicide Prevention: • Leveraging AI to analyze various aspects to predict suicidal tendency • Text from social media to analyze mental state and tendency • Image, speech and video feeds – for emotion recognition to predict
• Extend helping hand to psychiatrists in prioritizing High Risk patients to focus on • Control healthcare costs arising due to treating attempted suicide cases
2. Early Detection of Strokes: • Leveraging AI for early detection when symptoms are even minute • Facial recognition to detect early warning signs • Model to be trained with feature differences to detect strokes • Pick up differences in neuro movements from video feeds for prediction • Neurologists may use for initial screening and early care • Reduction in treatment costs and mortality rates due to stroke
3. Detection of Autism in children • Analyze and store anomalies in brain growth patterns • Prediction logic to study video clips for behavior pattern differences • System to detect mild anomalies that aren’t obvious to human eye, in early stages • Calculate insurance premiums, define policies to tailor for specific groups • Prioritize resources and plan based on risk groups identified • Additional focus on identified patients on their wellness • Bring down costs and better patient health
According to Rajiv Kanna, a healthcare leader at GAVS with learning and self-correcting capabilities, AI can be used for detection and diagnosis purposes where it will improve its accuracy – detect a certain pattern of bacteria in x-rays or images, detect an anomaly in pattern of scans for diagnosing critical diseases, detect off track values and alert physicians in case of chronic disease management and more.
ZIF: Revolutionary Approach
GAVS’ proprietary AI-based TechOps platform Zero Incident FrameworkTM (ZIF) enables organizations to trend towards a Zero Incident EnterpriseTM. ZIF helps organizations with higher service reliability, increased uptime through service assurance and thereby enhance end user experience.
ZIF has some newer machine learning algorithms including supervised, unsupervised and reinforced learning approaches by partnering with IIT Madras to refine and define these new pattern based learning algorithms.
The USP of ZIF is the powerful predictive analytics capability along with self remediate. “This has been a paradigm shift for organizations adopting ZIF as part of their digital transformation journey,” says Sumit.
Towards the Future
For the days to come, GAVS would like to evolve as a key player leveraging AI led Operations and other leading products for some key Healthcare clients and other domains. Their plan is to develop Shared Service offerings for Solutions for Hospital Enablement. “We plan to grow our security services. There is an ever-growing need for protecting vulnerable people and information,” adds Sumit.“The threat to sensitive data in hospitals and other healthcare institutions is unprecedented.” Unprotected devices have brought down hospitals and medical offices. There is an increasing need for healthcare cybersecurity with tele-medicine and remote working becoming the norm.
GAVS is also working towards a lot of opportunity for powerful cloud-based ML applications. The Healthcare industry can benefit a great deal from domain experts like GAVS who have the capacity to collect and reshape data into meaningful insights and add intelligence with predictive analytics and AI. “We are constantly working on new solutions for value and revenue generation, focusing on delivering business outcomes and speedy ROI,” says Sumit. “We are also ambitious of finding creative ways to demonstrate the impact of data with our ability to handle advanced analytical queries and modeling.”