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Healthcare Chatbots: Innovative, Efficient, and Low-cost Care

A new report from Juniper Research has found that annual cost savings derived from the adoption of chatbots in healthcare will reach $3.6 billion (€3.04 billion) globally by 2022, up from an estimated $2.8 million (€2.36 million) in 2017. This growth will average 320% per annum, as AI (artificial intelligence) powered chatbots will drive improved customer experiences for patients.- IoTnow

Experts believe that medical chatbots will play an important role in the healthcare industry soon. While the world is facing the problem of information overload, bots can help in segregating good and bad/right and wrong data. Healthcare chatbots solve the most pressing medicine industry problems-

  1. Accessibility: The human workforce might not be available in every vital situation. But bots are. Thus making appointments and scheduling simple.
  2. SOS: Healthcare chatbots can also act as an alarm in the instances of life-threatening symptoms as described by the patients. 
  3. Customization: Bots with NLP capabilities can understand voice and text-based queries efficiently. This is especially helpful for people with visual or speech impairments. 
  4. Integrations: Chatbots are compatible with IoT devices like Google Home, Alexa, etc. 
  5. Personalization: Patient-specific bots can place a call, advise first-aid, and even send notifications/messages to physicians. 

Before we delve deep into medical chatbots, let’s quickly look at what exactly is a chatbot.

Chatbots Brief History

The first-ever computer program that could communicate with humans was Eliza, developed by MIT in 1966. Subsequently, with programs passing Turing tests, e-commerce, messaging, healthcare, and other enterprises indicated a deep interest in using chatbots.

A chatbot is an artificial intelligence program that can interact, respond, advise, assist, and converse with humans. It can mimic a two-way communication between two individuals. In the initial phases of chatbot implementation, tasks like — scheduling an appointment and answering fundamental queries, were accomplished. Today, the scope of chatbots is much broader with recommendations, references, diagnosis, and even preliminary treatments.

Snapshot of Your.MD healthcare chatbot illustrating the services it provides

How are Medical Chatbots Reshaping the Healthcare Industry?

Chatbots can help in improving Patients’ engagement and experiences with the hospital/physician. The following are the proven benefits of healthcare chatbots.

Accessible Anytime and Anywhere

Today, it is possible to embed chatbots on websites, mobile apps, and even third-party apps like Facebook and WhatsApp. There’s no need for downloading them explicitly and registration/activation. For instance, Religare, a leading health insurer has its chatbot integrated into WhatsApp

Generally, hospitals and other healthcare organizations provide chatbot in-built in their app. Apart from usual support, it also helps to secure your medical records in one place. This record can also be shared with the doctor whenever it is required.

There are mental health and therapy chatbots available that provide continuous support to patients with mental illness, depression, or sleeplessness. Wysa — a mental therapy chatbot is one such example. 

Chatbots for SOS (Emergency Alarms)

During the instances of life-threatening events/symptoms, chatbots can help in raising alarm automatically. For example, if a person who complains about chest pain does not respond to messages within a stipulated time, an emergency call made by the bot to healthcare/family/friends might help in attending the needful.

Customization

Organizations can customize chatbots to decipher different languages, voice accents, and text patterns. With different modes of conversations, chatbots can simplify communications. For instance, for a person with a visual disability, computer vision could be altered. For people with speech problems, chatbots with NLP capabilities can be beneficial. 

Another remarkable development in chatbots that we’re going to witness soon is that of Emotion AI. Soon the bots would be able to understand the user’s emotions based on text, voice, or sentence structure. This feature will be a great help for understanding the sentiments of people suffering from depression or any other kind of mental illness.

Integration with Different Platforms and Personalization

Because of their omnichannel nature, one can easily integrate bots with the web, mobile, or third-party apps, and APIs. They can even work with voice assistants like Alexa and Google Home. With seamless integration, a bot can place a call, advise you on first aid, analyze your medical history and send notifications to your doctor.

Voice-enabled chatbots and multilingual chatbots are disrupting the way customers engage with chatbots. Voice-enabled chatbots increase accessibility and speed up the query process, as the user does not have to type. More than 70% of Indians face challenges while using English keyboard, and approximately 60% of them find the language to be the key barrier in adopting digital tools. Vernacular language support can personalize the services for native users and make the whole process of maintaining medical records a lot easier. For instance, to automate help desk tasks and respond to customer queries, voice-driven chatbots can be integrated.

Indian chatbots like Hitee (designed for Indian SMEs) support several Indian regional languages including Hindi, Tamil, Bengali, Telugu, Gujarati, Kannada and Malayalam.

Video conferencing chatbots can be used by private clinics and healthcare practitioners to converse with their patients.

5 Popular AI Healthcare Chatbots

  1. mfine: It is a digital health platform for on-demand healthcare services. It offers online consultation (text, audio, video), medicine delivery, follow-ups, and patient record management services.
  2. Wysa: Developed by Touchkin, Wysa is AI-powered stress, depression, and anxiety therapy chatbot. It helps people practice CBT (Cognitive Behavioral Therapy) and DBT (Dialectical behavior therapy) techniques to build resilience. For additional support, it connects people with real human coaches.
  3. Mediktor: It is an accurate AI-based symptoms checker with great NLP (Natural Language Processing) capabilities.
  4. ZINI: It provides every user with a Unique Global Health ID that can be used for managing one’s healthcare information all over the world. It also creates an emergency medical profile for the patient for urgent medical requirements.
  5. Your.MD: It provides personalized information, guidance, and healthcare support. With an in-built symptom checker, vast medical database, health plans, and journals, it is a certified application for digital healthcare support.

To know more about how AI is innovating the healthcare industry in bringing the digital health era, check out our webinar on ‘Digital Health Beyond COVID-19: Bringing the Hospital to the Customer’ on our YouTube channel.

We specialize in building custom AI-powered chatbots specific to your business requirements. Feel free to drop us a word at hello@mantralabsglobal.com to know more.

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Smart Manufacturing Dashboards: A Real-Time Guide for Data-Driven Ops

Smart Manufacturing starts with real-time visibility.

Manufacturing companies today generate data by the second through sensors, machines, ERP systems, and MES platforms. But without real-time insights, even the most advanced production lines are essentially flying blind.

Manufacturers are implementing real-time dashboards that serve as control towers for their daily operations, enabling them to shift from reactive to proactive decision-making. These tools are essential to the evolution of Smart Manufacturing, where connected systems, automation, and intelligent analytics come together to drive measurable impact.

Data is available, but what’s missing is timely action.

For many plant leaders and COOs, one challenge persists: operational data is dispersed throughout systems, delayed, or hidden in spreadsheets. And this delay turns into a liability.

Real-time dashboards help uncover critical answers:

  • What caused downtime during last night’s shift?
  • Was there a delay in maintenance response?
  • Did a specific inventory threshold trigger a quality issue?

By converting raw inputs into real-time manufacturing analytics, dashboards make operational intelligence accessible to operators, supervisors, and leadership alike, enabling teams to anticipate problems rather than react to them.

1. Why Static Reports Fall Short

  • Reports often arrive late—after downtime, delays, or defects have occurred.
  • Disconnected data across ERP, MES, and sensors limits cross-functional insights.
  • Static formats lack embedded logic for proactive decision support.

2. What Real-Time Dashboards Enable

Line performance and downtime trends
Track OEE in real time and identify underperforming lines.

Predictive maintenance alerts
Utilize historical and sensor data to identify potential part failures in advance.

Inventory heat maps & reorder thresholds
Anticipate stockouts or overstocks based on dynamic reorder points.

Quality metrics linked to operator actions
Isolate shifts or procedures correlated with spikes in defects or rework.

These insights allow production teams to drive day-to-day operations in line with Smart Manufacturing principles.

3. Dashboards That Drive Action

Role-based dashboards
Dashboards can be configured for machine operators, shift supervisors, and plant managers, each with a tailored view of KPIs.

Embedded alerts and nudges
Real-time prompts, like “Line 4 below efficiency threshold for 15+ minutes,” reduce response times and minimize disruptions.

Cross-functional drill-downs
Teams can identify root causes more quickly because users can move from plant-wide overviews to detailed machine-level data in seconds.

4. What Powers These Dashboards

Data lakehouse integration
Unified access to ERP, MES, IoT sensor, and QA systems—ensuring reliable and timely manufacturing analytics.

ETL pipelines
Real-time data ingestion from high-frequency sources with minimal latency.

Visualization tools
Custom builds using Power BI, or customized solutions designed for frontline usability and operational impact.

Smart Manufacturing in Action: Reducing Market Response Time from 48 Hours to 30 Minutes

Mantra Labs partnered with a North American die-casting manufacturer to unify its operational data into a real-time dashboard. Fragmented data, manual reporting, delayed pricing decisions, and inconsistent data quality hindered operational efficiency and strategic decision-making.

Tech Enablement:

  • Centralized Data Hub with real-time access to critical business insights.
  • Automated report generation with data ingestion and processing.
  • Accurate price modeling with real-time visibility into metal price trends, cost impacts, and customer-specific pricing scenarios. 
  • Proactive market analysis with intuitive Power BI dashboards and reports.

Business Outcomes:

  • Faster response to machine alerts
  • Quality incidents traced to specific operator workflows
  • 4X faster access to insights led to improved inventory optimization.

As this case shows, real-time dashboards are not just operational tools—they’re strategic enablers. 

(Learn More: Powering the Future of Metal Manufacturing with Data Engineering)

Key Takeaways: Smart Manufacturing Dashboards at a Glance

AspectWhat You Should Know
1. Why Static Reports Fall ShortDelayed insights after issues occur
Disconnected systems (ERP, MES, sensors)
No real-time alerts or embedded decision logic
2. What Real-Time Dashboards EnableTrack OEE and downtime in real-time
Predictive maintenance using sensor data
Dynamic inventory heat maps
Quality linked to operators
3. Dashboards That Drive ActionRole-based views (operator to CEO)
Embedded alerts like “Line 4 down for 15+ mins”
Drilldowns from plant-level to machine-level
4. What Powers These DashboardsUnified Data Lakehouse (ERP + IoT + MES)
Real-time ETL pipelines
Power BI or custom dashboards built for frontline usability

Conclusion

Smart Manufacturing dashboards aren’t just analytics tools—they’re productivity engines. Dashboards that deliver real-time insight empower frontline teams to make faster, better decisions—whether it’s adjusting production schedules, triggering preventive maintenance, or responding to inventory fluctuations.

Explore how Mantra Labs can help you unlock operations intelligence that’s actually usable.

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