Astronaut loading animation Circular loading bar

Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(5)

Customer Journey(12)

Design(36)

Solar Industry(6)

User Experience(56)

Edtech(10)

Events(34)

HR Tech(2)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(17)

Testing(9)

Android(47)

Backend(30)

Dev Ops(7)

Enterprise Solution(27)

Technology Modernization(2)

Frontend(28)

iOS(43)

Javascript(15)

AI in Insurance(35)

Insurtech(63)

Product Innovation(49)

Solutions(19)

E-health(10)

HealthTech(22)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(132)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(17)

FinTech(50)

Banking(7)

Intelligent Automation(26)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

Artificial Intelligence(AI) is innovating healthcare sector

We are under the spell of the Fourth Revolution or the digital revolution. The ability of technology to help the humankind is empowering each day. With AI, Machine Learning, IoTs, and Virtual Reality we are witnessing a diminishing line between man and machine. While the machine is helping man to live luxuriously, it has also extended its help in saving lives. 
The use cases of Artificial Intelligence[AI] in healthcare are fascinating – be it Robotic Surgery, digital consultation, managing medical records over a blockchain network or a virtual nurse assisting you. AI in health is assisting machines to sense, analyze, act, diagnose and help in the clinical and administrative task in a hospital.

Let’s explore in detail on how AI is helping humans to stay healthy and save lives.

Assisting Patient at Every Step

An AI app/product could effectively scan the medical records and help in diagnosing the particular disease, minimizing chances of human error. Based on the prescriptive analysis, the AI software could aid real-time case prioritization. It can precisely analyze actions and predict the risk associated with specific clinical procedures.
AI programs could also help in providing personalized services based on patient data and moods. In fact, an AI app can also recommend the best doctor as per your medical record. AI can be a helping hand for many expectant mothers, with continuous monitoring and ability of early diagnosis.

Several wearable devices and health apps are assisting customers in keeping track of their health. Health apps like Cure.fit help customers to order healthy food and keep tabs on their daily workouts. People can also book appointments and buy medicines through apps like Practo. 

 

Reaching New Heights in Research and Development

Collecting data samples of all the patient in a clinic/hospital, applying big data techniques and deep learning technology could help in extracting meaningful information. Such information could be used to study pattern for a disease or about an individual.
Genetics and study of genes are one of the most crucial jobs in healthcare, with AI the study could be exhaustive and precise resulting in impactful drugs and medicine. Applying medical intelligence could help in understanding the connection between drug and disease at the root level.

Helping Hospitals with Pricing, Risk, and Operations

In need of a marketing strategy that highlights the pain points, lessons learned, target segment and market perception? AI could help you. It can present you a unique strategy that helps in modeling competitive pricing charts,understanding market risk and structuring market data into meaningful actions. Rehauling of your repetitive tasks or back office could be achieved by implementing Robotic Process Automation[RPA] into your system.

With voice-enabled chatbots and video conferencing chatbots, customer queries and appointment booking can be facilitated in private clinics and healthcare sectors 

 

Virtual Nurses, Healthcare Bots

Are you in need of the second opinion from the country’s best doctor at the convenience of your home? AI can help you with Digital Consultation. Or you need a nurse who helps in keeping track of your medicines and food; Virtual Nurse is on his way. Or you need help in picking the best diagnostic center based on your health records? Or you need help in what are the side effects of a drug? Healthcare bots are in for the rescue.

All of this may sound like a sci-fi movie being watched, but now is a possibility with AI and machine learning technology.

Other significant innovation is the chatbot. Chatbots help in raising alarms during life-threatening incidents and save the needful. During an emergency situation, a call made by the chatbot to the needy’s family/ friends or a health center can help the suffering person.

Write us at hello@mantralabsglobal.com to know how we are helping healthcare businesses through AI technology.

Check out the webinar on ‘Digital Health Beyond COVID-19: Bringing the Hospital to the Customer’ on our YouTube channel to know more about how the digital health industry is disrupting the traditional ways of healthcare. 

Cancel

Knowledge thats worth delivered in your inbox

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.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot