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Cloud Computing Is Reshaping Digital Businesses during Pandemics

6 minutes read

In an ever-changing business climate, especially amid the COVID-19 pandemic waves, it’s imperative for small and medium business owners to be able to access data as and when they need it, regardless of the device they’re on or their physical location. 

Accenture reports that “2020 has been a pivotal year for the cloud as it played a lead role in facilitating remote work solutions. It allowed organizations to fuse existing organizational processes with novel cloud technologies to allow for greater flexibility during these uncertain times. COVID-19 has facilitated a focus on cloud capabilities as companies compete to thrive in this new remote work environment. The cloud has become an essential part of continuing business and is the key to unlocking organizational growth. Worldwide spending on public cloud services is even forecast to grow 18.4 percent in 2021.” 

According to a NASSCOM report, the Indian cloud computing market is currently valued at $2.2 billion with projected growth at 30 percent YOY, expected to reach $7.1 billion by 2022. 

Predictions for cloud computing revenues to 2021 from 451 Research.

A Forrester report titled, Predictions 2021: Cloud Computing Powers Pandemic Recovery, on the other hand, says that “In 2021, cloud will power how companies adapt to the “new, unstable normal.” No one knows how far into 2021 we’ll continue to work from home, shop primarily online, or avoid air travel — but it’s clear that every enterprise must become more agile, responsive, and adaptive than ever before.” 

Source: Forrester.com

With this pandemic and its subsequent lockdown-led change in landscape, businesses are trying to venture out and combine services and technology namely IoT services, Big Data, and cloud computing. According to Financial Express, “cloud computing will play the role of a common workplace for IoT, the source of data and big data as a technology is the analytic platform of the data.”  

Cloud computing has been in use for approximately two decades now, with few early adopters of this technology, however, a large number of businesses continue to operate without it even today. According to a study conducted by the International Data Group, “69% of businesses are already using cloud technology in one capacity or another, and 18% say they plan to implement cloud computing solutions at some point.” 

A Verizon study also showed that 77% of businesses feel cloud technology gives them a competitive advantage, and 16% believe this is a significant advantage. 

Why should small businesses consider cloud computing? 

Network downtime costs more than $10,000 an hour, according to CloudRadar. For most small businesses, investing in robust data recovery would be an ideal yet imperative choice to implement in their regular processes. Due to the scale and expertise of cloud-based services, quick data recovery is also possible for all kinds of data disasters, including being able to remotely wipe data from a lost device. 

CIOinsight.com reported that “Cloud computing, the offloading of company data functions to offsite cloud providers, has been hailed as the tool that enabled the decentralization of business during the COVID economy. It’s also become utterly mainstream in business, with Cisco reporting that 92 percent of data workloads were handled in 2020 by cloud computing. The same report also showed that the United States led the globe in cloud computing workloads.”

As cloud systems have increasingly matured over time, it’s also given way to a consensus on a mixed approach – both public and private – to cloud service-based environments to meet the needs of enterprises. To overcome the challenges posed by either public and private cloud computing services, namely, data security, flexibility, and performance, 82% of enterprises have now taken a hybrid approach to their cloud infrastructure, as per Flexara’s 2021 State of the Cloud report.

Research firm MarketsandMarkets has estimated that the hybrid cloud market will be worth $97 billion by 2023 banking on characteristics such as scalability, cost-efficiency, security, and agility. 

Amazon Web Services (AWS) said that amid the COVID-19 pandemic, there was an evident acceleration in cloud computing adoption and consumer behavior wrt cloud in the country. Mantra Labs, while working with Manipal Hospitals, offered solutions around Server Setup & Deployment; Cloud Monitoring; Database Setup; Load Balancing; and Network Security & Monitoring. These helped with 66% improvement in application performance; 57% reduction in code deployment time; 2x more ROI from continuous delivery. 

Cloud computing is also promoting sustainable practices across organizations given the current state of the environment. Hosting on the cloud is environmentally friendly and results in a lesser carbon footprint.

Cloud-based infrastructures support environmental proactivity; virtual services instead of physical products and hardware; lesser paper waste; optimized energy efficiency; easy work-from-home access and collaboration. 

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Conversational UI in Healthcare: Enhancing Patient Interaction with Chatbots

As healthcare becomes more patient-centric, the demand for efficient and personalized care continues to grow. One of the key technologies that have gained traction in this domain is Conversational UI (CUI) — a user interface where interactions occur through natural language, often with the help of chatbots. For developers, building a robust CUI in healthcare requires a balance of technical proficiency, understanding of the healthcare landscape, and empathy toward patient needs. Let’s explore how CUI can improve patient interactions through chatbots and what developers should consider during implementation.

Why Conversational UI is Gaining Popularity in Healthcare

From scheduling appointments to answering medical queries, healthcare chatbots have become vital tools for enhancing patient engagement and streamlining healthcare workflows. Conversational UIs enable these chatbots to interact with patients naturally, making them accessible even to non-tech-savvy users. By incorporating AI and NLP (Natural Language Processing), chatbots can now simulate human-like conversations, ensuring patients receive timely, relevant responses. 

Image credit: https://www.analytixlabs.co.in/blog/ai-chatbots-in-healthcare/ 

Key Areas Where Chatbots Are Revolutionizing Healthcare

  1. Appointment Scheduling and Reminders – Chatbots can automatically schedule appointments based on patient availability and send reminders before the visit, reducing no-show rates. For developers, this feature requires integration with hospital management systems (HMS) and calendar APIs. The challenge lies in ensuring secure and real-time data transfer while adhering to healthcare compliance standards like HIPAA.
  1. Medical Query Resolution– Chatbots equipped with NLP can answer common patient questions related to symptoms, medications, and treatment plans. This reduces the burden on healthcare providers, allowing them to focus on more critical tasks. Developers working on this feature need to consider integrating medical databases, such as SNOMED CT or ICD-10, for accurate and up-to-date information.
  1. Patient Monitoring and Follow-ups – Post-discharge, chatbots can monitor a patient’s condition by regularly asking for health updates (e.g., vital signs or medication adherence). Developers can integrate IoT devices, such as wearable health monitors, with chatbot platforms to collect real-time data, providing healthcare professionals with actionable insights.
  1. Mental Health Support – Chatbots have shown promise in offering mental health support by providing patients with an outlet to discuss their feelings and receive advice. Building these chatbots involves training them on therapeutic conversational frameworks like Cognitive Behavioral Therapy (CBT), ensuring they offer relevant advice while recognizing when a human intervention is required.

Key Considerations for Developers

1. Natural Language Processing (NLP) and AI Training

NLP plays a pivotal role in enabling chatbots to understand and process patient queries effectively. Developers must focus on the following:

Training Data: Start by gathering extensive datasets that include real-life medical queries and patient conversations. This ensures that the chatbot can recognize various intents and respond appropriately.

Multi-language Support: Healthcare is global, so building multi-lingual capabilities is critical. Using tools like Google’s BERT or Microsoft’s Turing-NLG models can help chatbots understand context in different languages.

Contextual Understanding: The chatbot must not just respond to individual queries but also maintain the context across the conversation. Developers can use contextual models that preserve the state of the conversation, ensuring personalized patient interactions.

2. Security and Compliance

Healthcare chatbots handle sensitive patient information, making security a top priority. Developers must ensure compliance with regulations such as HIPAA (Health Insurance Portability and Accountability Act) in the U.S. and GDPR (General Data Protection Regulation) in Europe. Key practices include:

  • Data Encryption: All communication between the chatbot and the server must be encrypted using protocols like TLS (Transport Layer Security).
  • Authentication Mechanisms: Implement two-factor authentication (2FA) to verify patient identity, especially for sensitive tasks like accessing medical records.
  • Anonymization: To avoid accidental data breaches, ensure that the chatbot anonymizes data where possible.

3. Seamless Integration with EHR Systems

For chatbots to be truly effective in healthcare, they must integrate seamlessly with Electronic Health Record (EHR) systems. This requires a deep understanding of healthcare APIs like FHIR (Fast Healthcare Interoperability Resources) or HL7. Developers should aim to:

  • Enable Real-time Updates: Ensure that chatbot interactions (e.g., new appointment schedules, and symptom checks) are instantly reflected in the patient’s EHR.
  • Avoid Data Silos: Ensure that all systems (EHR, chatbot, scheduling system) can communicate with each other, eliminating data silos that can lead to fragmented patient information.

4. Scalability and Performance Optimization

In healthcare, downtime can be critical. Developers need to ensure that chatbots are scalable and capable of handling thousands of patient interactions simultaneously. Using cloud-based platforms (AWS, Google Cloud) that offer auto-scaling capabilities can help. Additionally, performance optimization can be achieved by:

  • Caching Responses: Store frequently used responses (such as FAQs) in memory to speed up interaction times.
  • Load Balancing: Implement load balancers to distribute incoming queries across servers, ensuring no single server is overwhelmed.

Tools and Platforms for Building Healthcare Chatbots

Several tools and platforms can aid developers in building healthcare chatbots with conversational UIs:

  1. Dialogflow (Google): Offers pre-built healthcare intents and integrates with Google Cloud’s healthcare APIs.
  2. Microsoft Bot Framework: A scalable platform that integrates with Azure services and offers AI-driven insights.
  3. Rasa: An open-source NLP tool that provides flexibility in creating highly customized healthcare bots.

Conclusion

Conversational UI in healthcare is transforming patient care by offering real-time, scalable, and personalized interactions through chatbots. However, for developers, building these systems goes beyond programming chatbots — it involves understanding the unique challenges of healthcare, from regulatory compliance to seamless integration with hospital systems. By focusing on NLP capabilities, ensuring security and privacy, and integrating with existing healthcare infrastructure, developers can create chatbots that not only enhance patient interaction but also alleviate the burden on healthcare providers.

References

  1. NLP in Healthcare: Opportunities and Challenges
  2. HIPAA Compliance for Chatbots

About the Author:

Shristi is a creative professional with a passion for visual storytelling. She recently transitioned from the world of video and motion graphics to the exciting field of product design at Mantra Labs. When she’s not designing, she enjoys watching movies, traveling, and sharing her experiences through vlogs.

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