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Future of Healthcare in India

Aug 05, 2021
  • ai driven healthcare
  • ai in healthcare it solutions
  • AIOps platform
  • best healthcare consulting firm in us
  • business process automation in healthcare
  • ehr modernization services with healthcare data
  • ehr modernization with health data management platforms
  • engaging patients in healthcare
  • healthcare predictive analytics ai/ml services software
  • the future of artificial intelligence in healthcare
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In this blog post

Healthcare organizations need to align on and begin implementing their strategic and operational plans for the post-pandemic era, including responding to the potential disruption of traditional business models.

In India, after the second wave and the impending third wave, some of the biggest challenges that hospital systems are facing (outside of physical infrastructure) are:

  • Tapping into newer channels of patient acquisition and streamlining the process for the same
  • Ensuring revenue growth from the existing customer base

This is amplified by a typical revenue distribution for the provider systems:

  • 70% – 80% of revenues come from in-patient/elective surgeries
  • Remainder are from emergency visits / visiting patients

There has also been an increase in the adoption, favorable consumer perception, and investments in Telehealth. Per McKinsey, “telehealth use has increased 38X from the pre-COVID-19 baseline.” Additionally, an increasing trend in the adoption of healthier lifestyles has also been reported. This is the perfect storm for hospitals.

With the goal of balancing patient care and revenues, here is how hospitals can respond –

  • Redefine their competition and revamp and/or customize their strategy to compete with those that are delivering healthcare to people’s homes like apps that address lifestyle diseases
  • Increase the number of channels that provide the hospitals with patient/customer touchpoints that are in-person as against ONLY through telemedicine
  • Innovate when it comes to how they engage with their patients (people who are in the hospital/are planned/in the system).

 

GAVS is an AI-led digital transformation company with a focus on healthcare. Long 80 is our joint venture with Premier, Inc. that aims to bring innovative, AI-driven Information Technology Operations (AIOps) and security operations to healthcare companies in the US. We have partnered with IIT Madras, NASSCOM and through Long 80, we aim to bring to bear –

  • AI-led best in class products that help hospital systems look at both hospital administration and patient engagement/experience differently. We are also exploring products that help with clinical benchmarking and analytics, and hospital supply chain management. The idea is to help hospitals adhere to industry standards, such as National Accreditation Board for Hospitals & Healthcare Providers (NABH) standards through these solutions while improving patient care.
  • Explore the development and deployment of AI based use cases that are readily available to use “As a Service” to hospitals. Use Cases in the areas of Denials Management, re-admission reduction, length of stay Prediction and Chronic care management have been developed in partnership with IIT Madras and are ready to pilot.
  • Enable hospital systems in India re-engineer their Hospital Information Systems and truly gain insight into Patient / Consumer behaviour by mining and leveraging analytics on huge troves of data that are available with these hospitals. These insights can then be used to engaging better with the patients and improve their health outcomes.

To that end, we are proud to have on board, Mr. Chandra Mouli, ex CIO of Sankara Nethralaya as an advisor. GAVS is already engaged with some large hospitals (Single Speciality / Multi-speciality) in these areas.

We believe that while the way forward for hospitals has newer challenges in-store, a patient-centric approach to evaluating their engagement levels and a renewed look at the marketplace vis-à-vis the competition in there is what will help. These can be implemented by the adoption of AI and Analytics led solutions.

Author

Vidyarth Venkateswaran

Vidyarth is an Associate Vice President at GAVS with the Customer Success team at GAVS Technologies. An ex-Accenture Strategy client engagement manager with over 8 years of Strategy and Management Consulting experience across multiple industries, he has managed projects and client accounts across the USA, Europe, Singapore, Japan, and Malaysia. He has led numerous engagements enabling digital transformation, operating model definition and improvement, business process and IT architecture, and Supply Chain transformation for clients. In his role at GAVS, Vidyarth is currently responsible for and drives strategic interventions that are focused on transforming GAVS’ business practices to enable best-in-class IP and solution delivery to our clients.



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