The increased demand for medical imaging over the last few years, especially because of the pandemic, has resulted in radiology workflows becoming more complex. These developments have necessitated development of new and innovative ways of working that help in enhancing productivity, accuracy and ultimately, outcomes. Further, the pandemic has also created a need to look for ways to provide care remotely whilst ensuring state-of-the-art treatment for patients
Patients in both metro and non -metro cities have been open to the idea of online consultations and remote care during the pandemic. A recent study titled Rise of Telemedicine – 2020 pointed out that there was a 502% spike in online consultations from people above the age of 50. Additionally, online consultations in cities such as Bengaluru, Delhi-NCR, Mumbai, Pune, Hyderabad, and Kolkata grew by more than 300%.
The new innovations and workflows that emerged during the pandemic are here to stay and will be mutually beneficial to everyone in the health continuum.
Changing times, new approaches
Here are a few trends that we witnessed in radiology over the last few years that will shape the new model of healthcare delivery post-COVID-19:Focus on increasing productivity: In a country like India, where the burden on healthcare institutions is immense, it has become important to use radiology assets more efficiently to ensure optimum outcomes for everyone. The volume of cases in India has necessitated for health-tech companies to focus on providing solutions that can enable radiologists to increase the pace of scans while maintaining the quality of the same. Additionally, healthcare costs are also on the rise in both developed and developing nations, which has further created a need for more efficient healthcare systems. To address these concerns, several health technology companies have developed AI-based solutions to bring down MR scan times dramatically by almost 50%. Artificial Intelligence (AI) brings promising new possibilities to MRI scanning, as it can be applied to many aspects of the overall examination, like automated planning, segmentation, and report creation. Scan acceleration is one of these new possibilities, as AI enables the acquisition of less data during an MRI examination, helping to reduce the time that a patient needs to be in the scanner.