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

NDHM & What it means to be Integration Ready

5 minutes read

The healthcare industry in India has been steadily growing at a Compound Annual Growth Rate of around 22% since 2016 and is expected to reach USD 372 billion in 2022. 

NITI Aayog released a report titled ‘Investment Opportunities in India’s Healthcare Sector’ published by PIB which states that “The Indian Healthcare market is expected to reach $190 Bn by 2020; $372 Bn by 2022 at a CAGR of 39% The digital healthcare market in India was valued at INR 116.61 Bn in 2018, and is estimated to reach INR 485.43 Bn by 2024, expanding at a compound annual growth rate (CAGR) of ~27.41% during the 2019-2024 period.” 

The expansion of private hospitals to Tier-2 and Tier-3 cities is looking like an attractive investment opportunity in the hospital segment. With respect to the pharmaceutical industry, India is likely to boost domestic manufacturing, supported by recent Government schemes under the Aatmanirbhar Bharat initiative.

Wellness tourism, under the medical value travel diaspora, has given an impetus to the rise of alternative medicine and treatment prospects. Technology, by way of innovations in Artificial Intelligence (AI), wearable technologies, and the Internet of Things, also offer multiple avenues. 

The Indian healthcare system is fast-moving towards a wellness-driven model of care delivery from an otherwise historically siloed and episodic intervention approach. This streamlining of the healthcare system creates a wealth of new opportunities for healthcare enterprises and institutions. The hospital industry in India accounts for nearly 60% of the overall health ecosystem’s revenues. The addition of new frameworks for Health ID, PHR, telemedicine, and OPD insurance will create macro-level demand beyond local in-patient catchment zones.

Traditional modes of healthcare delivery are being phased out in favor of new and disruptive models. The COVID-19 pandemic and its subsequent waves have changed consumer demand and given a big push for the need for a digital healthcare ecosystem. 

Source: Mantra Labs Whitepaper, March 2021

The National Health Stack (NHS), a digital platform with the aim to create universal health records for all Indian citizens by 2022, aims to bring both central and state health verticals under the same umbrella. 

The action plan to fulfill the creation of the NHS is laid out in the National Digital Health

Blueprint (NDHB), which also outlines the vision for Universal Health Coverage, that’s been in the pipeline for India’s underprivileged. This is where the National Digital Health Mission (NDHM) comes into the picture, as the entity responsible for the successful implementation of the aforementioned Blueprint and subsequent Health Stack. 

The blueprint recommends two building blocks namely, Personal Health Identifier (PHI), and Health Master Directories & Registries, for handling the requirements of a unique identity (much akin to Aadhar) of persons, facilities, diseases, and devices. These building blocks that India is creating for its 1.4 billion citizens are said to be equipped with an interoperability option to seamlessly access digital records.

With rapid rates of digitalization and increasing demands from connected consumers, an integrated ecosystem will allow healthcare providers to deliver value-based care and outcomes in a real-world scenario. The NDHE can potentially create over US$200 billion in economic value for the health sector, over the next 10 years, according to BCG analysis. 

The National Digital Health Blueprint (NDHB) underlines key principles which include domain perspectives namely, Universal Health Coverage, Security & Privacy, Education & Empowerment, and Inclusiveness of citizens; and the technology perspective namely, Building Blocks, Interoperability, a set of Registries as single sources of truth, Open Standards and Open APIs.

Source: Mantra Labs Whitepaper, March 2021 

How integration-ready are we? 

Most hospitals in India continue to use paper-based medical records and verbal procedures to communicate among doctors and nurses for a patient’s treatment. This causes serious implications such as lack of transparency, lack of accountability, error-prone treatment, non-integrated patient health records, difficulty to understand the past medical history, poor collaboration within a team of doctors, a higher threat to infection, and a lack of progress towards adopting AI/ML-based technologies. As the consumer is being ushered into the ‘age of experiences‘, the onus is on digital healthcare enterprises to make them more relevant, emotional, and personalized.

Source: Mantra Labs Whitepaper, March 2021

An integration engine is not only an interface engine but also a healthcare integration platform that supports the day-to-day operations of a care delivery organization. From interfaces to workflow to operational decisions, integration engines assist in modernizing the healthcare system.

Source: Mantra Labs Whitepaper, March 2021 

By preparing for integration readiness, healthcare providers can access new patient demand pools from Tier-2 and Tier-3 cities, identify insights about the health consumer’s lifecycle needs, and leverage new technologies to draw in more value from these interactions than ever before.

As a result, hospitals will be able to drive improved margins from reduced administrative costs and gain higher utilization through increased demand. 

Healthcare experiences future will include insights harnessed from data and human expertise to bring sensory value to each interaction, in other words, the integration of IX or Intelligent Experiences.

Read our detailed Digital Health whitepaper to get more insights into NDHM and what it means to be integration-ready. 

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