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What will be the state of the healthcare industry post pandemic?

4 minutes, 9 seconds read

The COVID-19 has proven to be havoc in this tech-savvy world. The community of Healthcare and Development has become the epicentre of the World’s attention for the motives of fighting against the disease; providing social services in this pandemic situation and promoting humanity and livelihood above all. 

However, on the flip side of the coin, we are witnessing challenges like never before. With the outbreak of this catastrophic pandemic, medical accessibility and safety have become our primary concern, bringing about a paradigm change in the state of the healthcare industry throughout the world.

As goes the old adage, “Necessity is the Mother of Invention”; the healthcare sector, post COVID-19 pandemic; is about to undergo metamorphosis with a plethora of new ideas. Getting accustomed to the lockdown phase, people are more and more acquainted with the use of technology. From 8 to 80 almost everyone has resorted to the digital platform and shall continue to retain the habit post-pandemic. Like other brick and mortar bodies, a huge part of healthcare shall have to move online, too.

AI-powered customer support

The idea of telecommunication in the field of healthcare will see a sudden spike in usage. The number of telehealth consults has risen exponentially during this pandemic and it will multiply manifolds post COVID-19. During this outbreak, with an increase in queries and lack of live agents, AI-powered customer support can be used as the first line of communication. Unlike old IVR’s, AI-enabled customer support shall understand the patient’s needs and converse with them as a live agent. 

Vozy’s Lili, is a conversational AI platform for healthcare organizations that alleviates pressure caused due to high call volume. Apart from providing customer assistance, it maintains a complete patient flow and helps monitor the health conditions post-treatment.

AI in customer support

Healthcare professionals are also opting for chatbots for checking symptoms to access symptoms, understand the conditions and accordingly suggest remedies or schedule appointments. 

Automation for contactless patient management

While we pull up our socks for a strategic battle, we can promote our major workforce and healthcare by optimizing and digitizing it, sans promoting widespread of this contagious phenomenon.

Data management of patient’s documents not only consumes a lot of bandwidth of medical staff but might also increase the phobia of the spread of coronavirus through touch, post-pandemic.

“End-user organizations adopt RPA technology as a quick and easy fix to automate manual tasks,” said Cathy Tornbohm, vice president at Gartner.

Healthcare applications, like Practo, can not only automate healthcare data management but also provide expert suggested healthcare tips. It connects with the nearest doctors and helps you choose on the basis of feedback, fees and doctor’s profile. It provides affordable healthcare packages, free healthcare tips and many more.

Automation for contactless patient management - Practo

With the implementation of automation in healthcare, it will not only reduce redundancy time but also provide an unbiased and transparent workflow. 

[Also read – Are wellness and diagnostic apps transforming ‘Patient Experience’]

Remote monitoring

AI in healthcare is going to be the next big revolution. Preserving human life by implementing robotic operations would be the next big step in the medicine industry. Basic hygiene will become the most important factor and the scarcity of equipment which we are facing will alarm us to prepare in an exponential and not in a linear way.

In radiology, medical professionals examine medical images such as an X-Ray, ECG or a radiogram to diagnose the illness and suggest a solution. With telemedicine being very popular in present times, workstations can be created where radiologists worldwide can consult each other. With the help of AI and machine learning, solutions can be suggested to the medical practitioner. 

Neucleus.io is one such web-based work station that provides access to medical images with diagnostic workstation performance. 

Medical Images Management - healthcare industry

Training neural networks with the results of past attempts can rule out the need to test every combination in drug creation. It can also guide the treatment discovery process and help in telemedicine through drug selection.

To maintain social distancing and contactless patient monitoring, Robot doctors of Canada are already performing real-time ultrasound and helping doctors treat patients remotely.  

A different future for the healthcare industry

Post pandemic, more of the typical traditional process requiring human functioning will be replaced by machines, to work more swiftly, providing better results. Thermal sensors will be incorporated in our everyday use gadgets like Mobile phones to allow a thermal scanning process so as to differentiate between normal and ill people on the basis of parameters like body temperature, sweat, facial symptoms, etc. 

Digital transformation will be prevalent everywhere post this catastrophe and machines, technologies and AI will become the tools in reshaping the structure of the healthcare industry. If such a situation knocks our door again, we will be all set to sail through the storm.

Check out the webinar on ‘Digital Health Beyond COVID-19: Bringing the Hospital to the Customer’ on our YouTube channel

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10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

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