Future of healthcare post-covid-19 pandemic
The healthcare industry has faced its biggest challenge in over a century during the Covid-19 pandemic. Though it triggered immediate action and steps were taken for greater cooperation between governments, healthcare, health tech, and life-sciences industries, it paved the way for greater cooperation among these in the future too. There has also been unprecedented adoption of technology and innovation across the industry, a trend that is continuing unabated. Here is a look at some of the trends for the future:
At Venture7, we believe that undoubtedly, the year 2022 is the beginning of a transformation in the way we interact with healthcare systems or experience healthcare across the globe. In the future, healthcare will be more personalized, will leverage data analytics, automation tools, telehealth, telemedicine, advanced diagnostics, artificial intelligence, and a host of new technologies to focus more on preventative care for the benefit of consumers and providers.
Browse by categories
- Agile
- Artificial Intelligence
- Automated testing
- Big Data
- Blockchain
- Business Intelligence
- Chatbots
- Cloud Computing
- Customer Experience
- Data Science
- Design Thinking
- DevOps
- Dialogflow
- Digital transformation
- EduTech
- ETL
- Healthcare
- HealthTech
- Machine Learning
- Mobile application
- Product Development
- Quality Ascent
- Quality Assurance
- Real Estate
- Software Testing
- StartUp
- Testing
You May Like This

Can AI help the US achieve growth in GDP beyond 3%?
The world has undergone significant transformations due to technological advancements, ranging from the mechanization of agriculture and steam engines to modern medicine, computers, and the internet. Despite these advancements, the US’s annual GDP per capita growth rate has never exceeded three per cent. New technology often leads to productivity growth. According to certain economic growth […]

How Are Machine Learning Algorithms Benefiting Data Visualization?
There is an enormous amount of data available with organizations that are gathered from multiple sources that need to be analyzed to leverage useful information from the data. The data is built into a model to predict future information with the use of technologies, such as data cleaning, data visualization, data acquisition, etc. to get […]

Merging Data Science And IoT For Better Business Processes
Various technologies such as artificial intelligence, data science, machine learning, etc. are highly being implemented by industries in order to streamline their business processes and bring innovation in the approaches. The industries are rapidly embracing technologies such as the Internet of Things (IoT) as it has the ability to monitor machine performance and modify the […]

Data Federation Vs Data Integration Approaches
Today, large enterprises require a huge amount of data that need to be stored and analyzed. This data can be obtained from varied sources and requires different systems to produce and store, which may lead to inefficiencies in the process, which in turn, can lead to the loss of critical data. Let’s understand how much […]

New Product Mapping-Insights for Success
No business movement is met with as much anticipation and optimism as the development and manufacturing of new products. Regardless of whether in developing organizations like autos and electrical apparatuses, or progressively unique ones like PCs, administrators effectively see new items as an opportunity to get a bounce on the competition. Perhaps the most […]

What are the different software effort estimation techniques?
What are the different software estimation techniques is a thought-provoking question. Every development team encounters its fair share of challenges when striving to meet delivery deadlines – it’s part and parcel of the job. This, in turn, can lead to considerable delays in software projects, leaving project owners scratching their heads in frustration. So, you […]