Voice Biometrics in Healthcare: Benefits & Challenges
Artificial Intelligence, Healthcare, Voice Biometrics

Voice Biometrics in Healthcare: Benefits & Challenges

Understanding the Increasing Demand for Voice Biometrics in Healthcare Industry

The Healthcare industry is one of the fastest growing industries in the world. It is also one of the most demanding industries as far as the biometric security is concerned. The healthcare industry has faced many challenges due to increasing fraud and identity theft cases recently.

Voice biometrics is a perfect solution for the healthcare industry to overcome these challenges because it offers high accuracy and ease of use. Voice biometrics can be used in various healthcare applications such as patient identification, medical records access, health insurance claims processing, etc.

It also offers a higher level of security than traditional methods such as passwords or fingerprints because there are no physical tokens involved; therefore, it cannot be stolen like other forms of authentication, such as credit cards.

Read More
armour365: Highly secure & language independent voice authentication
Artificial Intelligence, Voice Biometrics

armour365: Highly secure & language independent voice authentication

What Is armour365

armour365 is a voice biometrics software by Gnani.ai that has innovative features to address the growing threats of fraud and cybercrime. armour365 Voice Biometrics is a voice analytics software solution that works in conjunction with multiple contact center platforms and chat applications.

The software is designed with various advanced features, including an “anti-spoof layer” and “replay attack detection.” With “one enrollment,” armour365 offers exceptional security and customer experience for industries like Contact Centers, Banks, and Defense.

From securing customer authentication across all channels to safeguarding access to sensitive devices, armour365 is an increasingly robust solution.

Read More
Why Voice Biometrics is becoming the leading choice for Authentication
Artificial Intelligence, Voice Biometrics, Voice Technology

Why Voice Biometrics is becoming the leading choice for Authentication

Everything You Should Know About Voice Biometrics Authentication

Voice biometrics is the identification of a person by the properties of their voice. In a typical implementation, the speaker recites an array of words or phrases stored in an electronic database. The system then compares these test utterances with previously collected from known individuals.

Read More
How Can Businesses Utilize Conversational AI To Scale Rapidly
Artificial Intelligence, Conversational AI

How Can Businesses Utilize Conversational AI To Scale Rapidly

Conversational AI: Meaning, Benefits & Business Use Cases

Conversational AI allows computers to converse with humans in natural language. This has given rise to exciting possibilities for businesses and consumers alike. But how exactly does it work? What benefits, and how can business owners leverage it?

Benefits of Conversational AI

Conversational AI is a boon for businesses of all sizes. It allows them to quickly scale operations and reduce costs while improving customer experiences and driving revenue growth. Here are some of the primary benefits of conversational AI:

Read More
Artificial Intelligence, Conversational AI, Healthcare

Conversational AI in Healthcare: 5 Use Cases That Are Transforming The Industry

The Novel Coronavirus (SARS-CoV2) outbreak in early 2020 became a cause for concern across the healthcare sector. The increased load on medical establishments coupled with the growing shortage of clinical and administrative staff cost the United States healthcare industry a whopping USD 20 Billion per month. By the end of 2020, US healthcare lost over USD 320 Billion 

Almost two years later, the problems persist for global healthcare systems. Hospitals are still facing an acute shortage of staff as workloads continue to increase exponentially. Even today, as COVID-19 surges continue to erupt across the globe, medical centers are constantly expanding treatment facilities, contracting additional staff, and relying on human administrators to manage heaps of paperwork. 

Read More
conversational ai in clinical workflow automation
Conversational AI

Importance Of Conversational AI In Healthcare Workflow Automation

Understanding The Importance Of Conversational AI In Clinical Workflow Automation

There have been tremendous advancements in conversational AI in healthcare since the medicos at MIT Laboratory demonstrated the superficiality of communication between humans and machines, and this happened as early as 1966. It was called ELIZA, a natural language processing computer program. Today, conversational AI can even simulate empathy over time, thereby encouraging people to talk freely about their health-related issues.

Given the fact that technologies like machine learning keep improving with time and data, the use cases and possibilities of conversational AI in healthcare are endless and exciting.

What’s The Extent Of Digitalization In Healthcare?

Information Technology (IT) is revolutionizing healthcare in ways that we would have never imagined. Digitalization of hospitals improves efficiency, efficacy, and the quality of service delivery. Although most hospitals are working on this, the approach taken is piecemeal. The need to develop a solid framework to address the planning and implementation of digitization of hospitals is necessary. It can result in a tectonic shift in the way care is delivered.

From healthcare centers to clinics, every corner in the healthcare sector is filled with data. Collecting data is pivotal for both healthcare providers and patients, but there is a problem:

What to do with all the data?

While collecting data is an ongoing affair, data and workflow management hasn’t been something that the healthcare industry has been successful at. Collecting data is one task, but analyzing them is no small feat. This is where healthcare providers should leverage AI.

Studies suggest that healthcare providers could save time, reduce human errors, create more accurate records, and provide better patient care by automating processes, i.e., healthcare or clinical workflow automation.

What Is Healthcare or Clinical Workflow Automation?

Healthcare or clinical workflow automation aims at improving the functionality of the healthcare system with the objective of streamlining the various processes involved to offer the best experience possible for the patients. Healthcare workflow automation focuses on processes in both operational and administrative ways.

The usage of technology to automate clinical workflows helps standardize high-volume workflows to improve efficiency in every way possible. By improving clinical or healthcare workflow, healthcare providers will be able to get things done in less time, communicate and collaborate efficiently to deliver better care for patients.

How Does Healthcare or Clinical Workflow Automation Help?

While there have been great innovations in healthcare, workflow automation is one area where there haven’t been a lot of uptakes. Let us look at some of the ways in which clinical workflow automation can be of huge help to the healthcare industry.

Increases interoperability: 

APIs and AI solutions pull data from disparate systems, thereby improving operability between different systems. Plus, different departments in healthcare organizations can collaborate better to deliver optimum care to the patient.

Reduces call center costs: 

Most of the questions that are routed to a call center are routine questions that can be handled with well-structured answers by a conversational AI.

Improves patient safety:

By automating data entry processes and using modern communication solutions, workflow automation reduces medical errors and improves patient safety.

Better resource planning: 

The planning of staffing with the help of historical data reduces the administrative burden of staff.

Efficient communication:

Embracing a clinical communication and collaboration solution which supports voice calls, video calls, and text messaging improves efficiency by a huge margin.

Better patient throughput:

Admission and discharge are two areas where delays are experienced by patients. It can be frustrating for the patient and their family. Clinical or healthcare workflow automation ensures that it streamlines these processes and expedites them by automating approval, registration, billing, and other processes.

Conversational AI In Automating Clinical Workflow

Conversational AI in healthcare is rapidly growing every year. For conversational AI to be impactful in clinical workflow, it has to integrate with the existing workflows. The technologies which make automating clinical workflow a reality are the following: Automatic Speech Recognition (ASR), Machine learning, Natural Language Processing (NLP), and virtual assistants. The combination of these technologies solves some of the most pressing problems that hospitals face in streamlining their clinical processes.

Challenges Addressed by Conversational AI in Real-World Clinical Environments:

  • Patients can reach out through any channel that they would like to, including voice, video calls, and text messaging
  • Providing vernacular language support by making sense of different speaking styles, accents, and dialects
  • Identify what is clinical conversation and what is not
  • Ability to answer queries 24/7
  • Getting the patient more engaged with self-assessment opportunities and alerting patients with timely reminders
  • Capturing medical conversations accurately
  • Understanding medical terminology
  • Knowing where to place the content in a clinical capacity
  • Pulling relevant conversations when there are multiple people in the same room
  • Providing empathetic assistance during emergency

Conversational AI & Omnichannel Analytics For Healthcare

Conversational AI, supplemented by omnichannel analytics, improves healthcare services delivery by helping patients with detailed, unambiguous, and ratified information.

Conversational AI in patient engagement provides a smooth interaction between patients and healthcare professionals with the help of analytics based on previous conversations.

The conversational AI tool helps with order procurement, prescription automation, appointment booking, treatment guidance, verification support, and so on.

Here are some of the ways in which conversational AI, coupled with omnichannel analytics, improves clinical workflow:

  • Pass information regarding treatments, hospitals, doctors, diseases, drug dosages, etc., to the patients directly.
  • They get to book appointments with doctors and healthcare providers and even place orders for medicines.
  • Helps simplify the healthcare journey for a patient by getting their treatment history and doctor’s notes.
  • Provides a unified experience for the patient and reduces operational bottlenecks for healthcare providers.
  • Since Conversational AI virtual assistants are scalable, they can manage peak hours efficiently.
  • Provide uniform patient experience across all the channels and that too in an empathetic manner.
  • Omnichannel analytics collects data from different channels and processes the information in a meaningful manner so that the hospitals can make faster and accurate decisions.

Clinical or Healthcare Automation Market in 2021

The global healthcare workflow solutions market accounted for US $8.26 billion in 2021 and is predicted to be worth around US $23.99 billion by 2030 with a registered CAGR of 12.6% during the forecast period 2022 to 2030.

As per reports, in 2021, the largest market for clinical workflow solutions was North America with a market share of 40.7% and the fastest growing market for the same was Asia Pacific (mainly China, India, Japan and South Korea) with a CAGR of 14%.


Conversational AI in healthcare is not only to answer basic queries of patients, but it is also to provide actionable and personalized interactions. The omnichannel analytics from conversational AI interactions offers valuable business intelligence that can be leveraged to optimize workflows and improve communication.

Would you like to work with a conversational AI-based virtual assistant to automate your clinical workflow? We will be more than happy to empower your healthcare center with Gnani’s solution.

Frequently Asked Questions

What is conversational AI in healthcare?

Conversational Artificial Intelligence (AI) has remarkably raised the service quality bar, by automating tedious processes. The AI technology enabled the healthcare workers to identify symptoms immediately and categorize critical patients from the less critical ones and plan the appointments accordingly.

What type of AI is used in healthcare?

A common use of artificial intelligence in healthcare involves NLP applications that can understand and classify clinical documentation.

How can AI help healthcare workers?

Using pattern recognition, AI can assist healthcare providers with more informed clinical decision-making and enable patients to take an active role in their own health. It can automate repetitive tasks, allowing healthcare providers to focus on higher-level cognitive tasks and patient care.

Read More
voice biometrics in healthcare featured image
Voice Biometrics

How Voice Biometrics In Healthcare Is Improving Data Privacy & Protection

The healthcare sector is increasingly embracing technology to solve challenges, especially after the pandemic exposed the strains on the system. Telehealth backed by extensive electronic health records (EHR) is fast becoming the norm; EHR adoption rates are skyrocketing at 89%. But most physicians report that accessing these records is not user-friendly while patients are rightly concerned about their data security.

Voice Biometrics can facilitate a more secure system where healthcare professionals can access medical records with no friction while patients can see their collective records. Both groups can have access to updated, accurate information within minutes whenever they need it. At the same time, a voice biometrics system can reduce fraud and high operational costs.

Let’s take an in-depth look at how implementing voice biometrics in healthcare can make an organization more efficient.

Read More
conversational AI in Patient Engagement featured image
Customer Service Automation, Voice Biometrics

How Conversational AI Can Boost Patient Engagement & Overcome Challenges

In our last blog post Future Of Healthcare And Patient Engagement Platforms, we have seen how the patient engagement platform is helping healthcare professionals deliver better care to their patients and what patients really expect from a patient engagement platform.

In this one, let us see how Conversational AI has the ability to make patient engagement platforms even more accessible for the patients.

Voice AI To Maximize Engagement

Voice AI is an AI-based automation interface that can provide a human-like conversational experience to the user. It uses Speech Recognition and Natural Language Processing (NLP) to clearly understand what the user speaks and deliver a prompt reply in a natural conversational manner.

Read More
Conversational AI

Future Of Healthcare & Patient Engagement Software | Gnani

The current pandemic has not only affected businesses negatively but also fast-forwarded technology adoption. It has compelled us to learn how to embrace technology to deliver a better customer experience.

The healthcare industry has always been a quick adopter of the latest technologies to save lives and improve the patient experience. AI and Robotics, in particular, have taken the medical field to the next level. With smart wearables and remote patient monitoring, healthcare professionals can treat their patients easily and monitor their vitals closely. 

Patient engagement platform has come up with a drastic change in gathering both functional and actionable patient health information that improves the patient experience, and reduces costs for patients and healthcare care providers. It provides a path involving patients in their care and transforms health systems into a patient-centric model.The evolution of patient engagement platforms has allowed healthcare professionals to deliver a more holistic experience and satisfaction.

Let’s dive deeper and understand the importance of the patient engagement platforms and see how AI is driving its growth.

Read More