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Medical dictation software allows healthcare professionals to record their voices using a microphone, which the software then converts into written text. To maximize the benefits of this technology, it’s advisable for physicians to clearly outline how they’d like their patient visits documented and summarized.
This software aims to streamline the clinical documentation workflow, giving doctors more time to concentrate on patient care. By reducing fatigue and workload, medical dictation solutions serve as valuable tools for nurses, doctors, and other healthcare providers to transcribe their voice recordings and dictate text. The output can be stored in a hospital’s digital records for easy access.
While free medical dictation apps may seem appealing, they often come with significant limitations. These programs are typically not designed with the specific needs of healthcare professionals in mind.
As a result, many of these non-specialized dictation tools lack crucial features like HIPAA compliance, medical terminology, and seamless integration with electronic medical records. Additionally, their usability may be restricted in both scope and interface design.
Here are three notable options for free dictation software:
Google Docs offers a voice typing feature that can greatly enhance productivity for those in the healthcare sector.
Many applications utilize Google services, and the Voice Typing tool is particularly effective for collaboration on Google Docs or Slides. It’s straightforward: just open a Google Doc, select the voice-to-text option, and dictate your content. The text shows up in the document, where you can easily check for any mistakes using a typical interface and mouse.
However, a downside is that voice typing only works within Google Docs and Slides, and you must use the Chrome browser to access it. Yet, for professionals seeking a free transcription solution, you can always copy your dictated notes into your EMR.
Microsoft Dictate is a free feature in Microsoft Office that operates effectively in Word, PowerPoint, and Outlook. To start using it in Word, simply select “Home,” followed by “Start dictating.” This feature supports voice commands for punctuation and formatting while composing or editing documents.
While Google’s version includes additional voice commands that enhance its functionality, Microsoft Dictate has its own limitations, particularly concerning medical vocabulary. On the plus side, if you already own Microsoft Office, this feature comes at no extra cost.
Speechnotes is an online voice recognition tool based on Google’s speech recognition engine. One notable advantage is that it can be installed as a Chrome extension, making it accessible wherever you use Chrome. This means that medical professionals can potentially enter notes directly into EMR fields using Speechnotes.
Free healthcare dictation applications often lack the value and quality you would find in their paid counterparts. Currently, there are no transcription programs tailored for healthcare that offer a completely free version. While many allow you to try them out at no cost, ongoing usage typically requires a subscription or purchase.
Here are several reasons why investing in medical dictation software is a wise choice:
Applications that handle health information must comply with HIPAA regulations. Software specifically designed for medical dictation should offer higher levels of security for Protected Health Information (PHI) compared to available free options. It is always advisable to consult with the product’s technical team before implementing any software into your practice.
One of the primary benefits of a healthcare dictation application is its ease of integration with Electronic Medical Records (EMR). Most physicians require a dictation setup that functions smoothly across different devices and systems.
Medical dictation software is specifically designed to meet the needs of healthcare providers, often including features such as voice commands for abbreviations, comprehensive medical vocabulary, and enhanced accessibility for suppliers.
Having reliable training resources and responsive customer support can be invaluable for users seeking guidance or assistance in optimizing the use of their dictation software.
With various applications, medical dictation technology provides a highly personalized, hands-free documentation experience. Its straightforward setup enhances both the accuracy of documentation and the overall physician’s experience while saving valuable time.
Meet SimboAlphus, the Ambient AI Medical Scribe that generates 100% accurate notes from natural conversations between doctors and patients.
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Simbo.ai is an AI-powered medical scribe that assists physicians in creating clinical documentation. It observes doctor-patient interactions and generates clinical notes for the physician in real-time, allowing doctors to prioritize patient care over administrative duties.
Supported by four patents, the technology is based on Connectionist and Symbolic AI methods, and its unique architecture, Brain Inspired Spoken Language Understanding (BISLU), utilizes General Intelligence Predictive and Corrective Microarchitecture (GIPCA).
Simbo’s goal is to simplify data collection and medical documentation. Unlike standard voice-to-text programs, Simbo understands context, enabling healthcare providers to speak naturally while it accurately generates clinically relevant notes enriched with essential structured data.
Ultimately, Simbo enhances the workflow for patients, staff, and especially providers, enabling hassle-free documentation and fostering more interactive patient engagement, while alleviating the burdens associated with EMRs. This innovative solution can save practitioners up to 90 minutes each day.
Artificial intelligence in healthcare, often referred to as Deep Medicine, encompasses the utilization of Machine Learning algorithms and software to emulate human reasoning in the analysis, presentation, and understanding of intricate medical and healthcare data. Essentially, AI empowers computer algorithms to draw conclusions based exclusively on the data they receive. This technology has revolutionized various industries globally and holds the potential to significantly transform healthcare.
As Artificial Intelligence (AI) technologies become increasingly integrated into modern business practices and everyday life, their application in healthcare is also on the rise. AI offers numerous opportunities to assist healthcare providers in a variety of patient care and administrative tasks. While many AI and healthcare technologies are pertinent to the sector, the specific strategies they support can differ widely.
Machine Learning stands out as one of the most prevalent forms of Artificial Intelligence used in healthcare. It serves as a fundamental technique underlying numerous AI and healthcare technology approaches, with several adaptations available. One of the most common applications of traditional Machine Learning in healthcare is precision medicine, leveraging AI to deliver tailored treatments to patients.
Deep learning, a subset of AI, is also employed in healthcare for speech recognition, primarily through Natural Language Processing (NLP). A notable implementation of AI in this field involves NLP applications capable of interpreting and categorizing clinical documentation. These NLP systems can sift through unstructured clinical notes, providing valuable insights into quality improvement, optimizing processes, and ultimately yielding better patient outcomes.
There are many administrative roles for Artificial Intelligence in healthcare, although its impact in hospital settings may not be as revolutionary compared to direct patient care. Nonetheless, AI can enhance efficiency in various administrative tasks. Applications of AI in the healthcare sector range from claims processing and clinical documentation to revenue cycle management and the organization of medical records.
In earlier decades, expert systems utilizing rule-based variations dominated the landscape of AI in healthcare. Even today, AI continues to play a crucial role in providing clinical decision support. Many Electronic Health Record (EHR) systems now incorporate rule sets within their software. These expert systems require collaboration between human specialists and engineers to develop extensive rules within specific knowledge domains, proving effective and straightforward to utilize.
AI brings several benefits over traditional analytics and clinical decision-making protocols. Learning algorithms can enhance their precision and accuracy as they interact with data, allowing healthcare professionals to gain unprecedented insights into diagnostics, care processes, treatment diversity, and patient outcomes.
The primary challenge facing AI in healthcare lies not in the technology’s capability, but rather in ensuring its seamless integration into daily clinical practice. Over time, it’s likely that clinicians will gravitate towards tasks requiring specialized skills and the highest levels of cognitive function.
Electronic medical records (EMRs) are digital collections of a patient’s medical information that are stored on a computer. They include vital details about a patient’s medical history, such as diagnoses, medications, test results, allergies, immunizations, and treatment plans. These records are accessible to all healthcare providers involved in a patient’s care, allowing for informed recommendations and decisions. EMRs are also commonly referred to as electronic health records (EHRs).
Healthcare professionals need to invest as much time in learning how to use these systems as they do in documenting patient care on paper. One downside of EMRs is their length, which can make it challenging and time-consuming for providers to sift through information. However, EMRs also offer significant benefits, including decision-support tools that alert users to potential issues, like drug interactions. It is essential to document the thought process behind treatment decisions in the record, ensuring a strong partnership between the patient and the provider.
EMRs play a crucial role in how healthcare professionals manage medical records, deliver treatments, and handle financial matters. Beyond enhancing the quality of patient care, EMR systems support incentive programs for healthcare organizations. They facilitate secure sharing of data with patients and other providers, help in more accurate diagnoses, reduce medical errors, and improve the safety of care. Additionally, these systems enhance communication between patients and providers, increasing the convenience of healthcare services and the reliability of medication prescribing.
EMR benefits for physicians:
EMRs enhance both the quality of patient care and the efficiency of physicians’ work. Given the fast pace of medical advancements, doctors need to stay updated on various topics—something that’s challenging when relying solely on paper records. This is where digital systems come into play.
EMRs streamline access to information and connections, significantly improving the physicians’ experience. They provide data in ways that traditional paper files cannot, using visuals such as graphs and pie charts to track cholesterol, blood pressure, and weight, which helps physicians monitor changes over time. This capability enables better chronic disease management and more effective screenings, ultimately improving patient care quality. EMRs can also notify physicians when certain screening measures are no longer effective, prompting them to adopt new strategies.
EMR benefits for patients:
Utilizing EMR systems enhances patient care quality and safety. Physicians can easily prescribe medication and check if a patient has received similar prescriptions from other doctors. With a few clicks, they can access detailed patient histories and allergies, enabling comprehensive, personalized care.
EMRs place patients at the heart of the healthcare process. Clinical summaries are shared with patients typically within three business days, detailing their visit, treatments received, medications prescribed, follow-up dates, and more. These summaries help patients remember important information and ask questions they may have. The software may also link to videos, articles, and images tailored to each patient’s healthcare situation, simplifying their understanding.
These resources are tailored for individual patients, making them easier to digest, and empowering them to make informed decisions about surgeries and other procedures. Patients can request electronic copies of their medical records whenever needed, and if they switch providers, their EMR can be seamlessly transferred, providing a comprehensive overview of their medical history.
EMR benefits for hospitals:
Maintaining paper charts requires significant space, which grows as time passes. Transitioning to electronic records helps free up office space and eliminates the need to allocate specific storage for files.
Electronic medical records are faster and more efficient than paper records. Learning to use the software is relatively straightforward since many people are already comfortable with technology, meaning staff will require minimal training.
While the initial transition can be challenging due to unfamiliarity, the long-term benefits include smoother practices. With the right technological tools, such as voice recognition for note-taking, physicians can input information quickly during patient consultations.
Information is encrypted:
Security is a key advantage of electronic medical records. Unlike paper records, which can be easily accessed, browsed, copied, or leaked, EMRs are safeguarded by encryption technologies that restrict unauthorized access to patient data. Many EMR systems also comply with HIPAA regulations, further ensuring patient confidentiality.
In today’s India, behavioral health practices of all sizes are still relying on outdated paper-based systems or generic office software, which does little to streamline their operations. Some providers believe that the cost of electronic health records (EHR) software is prohibitively high, while others feel that current EHR applications lack the features specific to their needs. However, advancements in cloud computing have led to the introduction of highly secure cloud-based EHR solutions.
EHR vendors are now customizing their software to cater specifically to behavioral health practices by offering EHR applications through Software as a Service (SaaS) models. As an EHR vendor ourselves, we recognize that the cost of EHR software can be a concern.
One significant benefit of implementing electronic health record software in a behavioral health practice is that it ensures documentation is consistently completed with all necessary details. This can help prevent billing and reimbursement issues, leading to a smoother revenue flow for the practice.
It’s unfortunate but true that many prescriptions for psychotropic medications meant to aid patients can be prone to abuse. This is why behavioral health professionals increasingly rely on prescription tracking capabilities. By tracking prescriptions electronically, providers can ensure that patients are receiving medication from a single source, minimizing the risk of patients misusing the system to obtain multiple prescriptions for the same medication from various doctors and pharmacies. Additionally, tracking allows doctors to verify that their patients are consistently filling their prescriptions.
Given the nature of behavioral health disorders, patients often see multiple providers to receive a wide range of services. With various components to coordinate, using EHR software becomes crucial for behavioral health practices, as it enhances communication among providers and helps prevent unnecessary duplication of services. After all, a patient might not be in a position to recognize redundant care; they depend on professionals to assess the effectiveness of the services they receive.
We want to ensure a seamless process for staff when determining how many units a patient has left for authorization. Failing to do so could jeopardize the continuity of care for the patient and lead to denied claims.
Medicare, insurance companies, and accrediting agencies are continuously raising their standards for service delivery, highlighting the need for behavioral health providers to communicate essential information with them using electronic health record software. An EHR system becomes an essential tool in maintaining high-quality care for every patient.
Behavioral health professionals should leverage the latest software and technology developments to enhance the efficiency of their operations. Now that you understand the importance of EHR software, you and your fellow stakeholders can evaluate potential electronic health record options and determine which software might be the best fit for your practice.
Simbo.AI has been recognized as the winner of NASSCOM CoE’s Healthcare Innovation Challenge (HIC) in the Prescription Digitization Segment. Recently, Simbo.ai introduced its flagship cloud-based application programming interface (API) platform, SimboAlpha, which empowers healthcare professionals to create voice-based Electronic Medical Records (EMR).
Simbo.ai’s flagship product is entirely hands-free, enabling doctors and medical practitioners to generate medical records simply by dictating them. Its advanced speech-to-text technology converts spoken words into text seamlessly. Current approaches to Natural Language Understanding (NLU) typically focus on AI models trained for intent classification, but they often limit the system’s ability to understand language in a human-like way.
Universal NLU is an innovative method designed to comprehend human language in a more natural manner. It takes spoken utterances as input and produces Human Thought Representations as output. If the spoken content falls within the domain of Universal NLU, it will generate detailed thoughts; otherwise, it creates more basic representations. Universal NLU continuously gathers information for further processing and distinguishes between language-specific syntax and semantic meaning, making it adaptable to any spoken language.
Natural Language Processing (NLP) is primarily conducted through intent classification models applied to sentences. While segmenting sentences in written text is relatively straightforward, spoken language tends to be a continuous flow of words produced by speech-to-text engines, making the extraction of intents from streaming audio quite complex.
Current solutions often require users to adapt their behavior, such as inserting pauses or using wake words, which can be effective but may feel unnatural, especially in settings where patients and doctors are engaged in fluid conversations. Existing models typically rely on punctuation-rich text generated by Speech-to-Text systems, which depend heavily on pauses and language structure. Our research is now focused on a hybrid approach that incorporates pauses, meaning accumulation, and centom theory.
GIPCA (General Intelligence Predictive and Corrective Architecture) is a proprietary framework that serves as a fundamental component of BISLU (Brain-Inspired Spoken Language Understanding). Its name reflects its dual capability to not only predict outputs but also correct them. By employing both supervised and unsupervised learning techniques, it operates successfully with considerably smaller training datasets. BISLU is designed as a cohesive Spoken Language Understanding framework utilizing general intelligence algorithms that extend beyond traditional AI/ML, offering a versatile language comprehension model. It integrates approaches such as Artificial Neural Networks (ANN), Symbolic AI, Knowledge Bases, Predictive Memories, and various other brain-inspired algorithms to accomplish this goal.
Voice technology is quickly becoming the next big thing in self-service healthcare, offering a more “human” experience that allows users to find information rapidly without needing to navigate complex interfaces. While we are still in the early stages of exploring its potential, the benefits for both practitioners and patients are significant, particularly for the elderly, disabled individuals, those with chronic conditions, or residents of rural areas.
Key applications of voice technology include managing diseases—like tracking symptoms, journaling, and ensuring medication adherence—as well as collecting data and reducing costs. In the future, we might even see advancements in diagnostic tools that utilize voice biomarkers, such as tone, inflection, and breathing patterns, to identify abnormalities. Like any new technology, voice solutions must address specific business challenges, such as engaging patients between appointments, enhancing access for those in clinical trials, and improving overall treatment outcomes.
Healthcare organizations are investing in innovation hubs, staffed with executives like chief information officers, chief digital officers, and tech-savvy chief nursing officers. These individuals focus on exploring the technology landscape for new use cases that meet genuine customer needs.
While Apple’s iPhone exemplifies a product-centric model where consumers may not realize they need it, we must find a balance between pioneering new technologies and being responsive to market demands rather than merely testing dream concepts. One of the most promising applications for voice tech lies in tracking symptoms for patients with chronic illnesses, who typically see their doctors only every few months. Voice assistants can help log symptoms and remind patients to take their medications or schedule their next appointments. Some hospitals are even trialing automated interactive calls using voice technology, since even the most highly trained clinicians still face numerous administrative responsibilities.
Advanced voice assistants that utilize language processing can grasp the context of conversations between doctors and patients, enabling them to automatically generate patient notes. Others allow physicians to dictate their notes through speech-to-text functionality. Research shows that patients interacting with virtual assistants tend to retain information better than those who read traditional pamphlets. As voice analytics and speech recognition technologies continue to evolve, we can expect to see shifts in how people search for information.
In today’s healthcare landscape, artificial intelligence is becoming increasingly prevalent, leading to transformative digital advancements. As new tools and resources emerge, many developed nations are actively adopting AI-driven technologies, particularly voice-activated and digital assistants, marking a significant shift from a physician-centered approach to a model that prioritizes patients.
Electronic Health Records (EHR) play a crucial role in converting patient information from physical files to digital formats. While EHRs have done an admirable job of securely collecting and storing patient data, they have evolved beyond just record-keeping in recent years.
In medical facilities worldwide, information technology has become essential for healthcare providers. EHRs have transitioned from simple storage solutions to comprehensive systems that facilitate data sharing among physicians, patients, and specialists. Some software offers valuable insights that support clinical decision-making by giving healthcare professionals a broader understanding of patient histories and treatment options. Overall, EHRs are positively impacting public health outcomes across the globe.
Most healthcare providers recognize that electronic data systems enhance patient care, while some also appreciate the clinical benefits these tools bring to their practices. Many medical institutions are exploring technological advancements such as data standardization, artificial intelligence, and predictive analytics to optimize EHR systems and refocus their efforts on improving patient care.
How EHRs Enhance Patient Care:
Electronic health records, once viewed merely as data entry systems, are now placing patients at the center of their care. These digital solutions boast advanced features that facilitate the analysis of patient information, enable communication among healthcare professionals, and allow for secure information sharing. Today’s EHR systems provide essential tools that help streamline operations and enhance patient outcomes. Below are some key ways EHRs have demonstrated their ability to improve patient care over time.
EHR software is vital in closing the gap between patients and providers. Its integrated features assist clinics in daily operations while enhancing patient satisfaction. When visits overwhelm patients with information, they may not fully grasp what is shared. However, through patient portals, they can access important documents at their convenience. Additionally, the ability to send online prescriptions directly to their preferred pharmacies boosts patient satisfaction and adherence. When patients feel informed about their health journey, they’re more likely to follow their provider’s recommendations. Keeping them engaged throughout the process fosters compliance and a smoother experience.
Electronic medical records offer robust management tools that help monitor various health conditions. They assist healthcare providers in reminding patients about check-ups and screenings. EHR systems can also identify risk factors and health habits, enhancing preventive care strategies. By receiving timely reminders for essential screenings, patients can better educate themselves and address potential health risks. Early detection of health issues can be life-saving and can help prevent complications.
Clinic-based EHR systems enable administrative staff to collect, record, store, and monitor patient health information seamlessly. Healthcare providers, including doctors, nurses, and lab technicians, gain a comprehensive view of patient interactions, leading to improved outcomes. EHRs centralize patient data, allowing for the identification of health trends and better analytics that support decision-making. This results in more effective treatment plans and ultimately enhances the quality of clinical care patients receive.
Final Words
The transition from traditional medical record systems to EHRs has a significant impact on the quality of patient care delivered. With the help of SimboAI, the future of healthcare is here! From intelligent robots to e-prescriptions, SimboAI is revolutionizing the landscape of Medicare.
Medical transcription (MT) is the process of converting voice reports recorded by physicians and other healthcare professionals into written text. Typically, a hospital’s MT team receives audio files that contain dictation of various medical documents from healthcare providers. These audio files are then transcribed into text format.
Medical transcription (MT) refers to the manual process of converting voice reports dictated by medical professionals into written text. The MT team at a hospital usually handles audio files provided by healthcare providers, transforming them into text documents. This transcription is usually done digitally and then integrated into the hospital’s Electronic Health Record (EHR) or Electronic Medical Record (EMR) system.
Today, the medical field increasingly relies on Advanced Speech Recognition Software and Medical Transcription Software (MTS) for transcription tasks.
Digital Medical Transcription:
Healthcare providers have demanding schedules, often filled with patient appointments that can run longer than planned, followed by extensive data entry into EHRs. Emergencies can further complicate their workload, leading to a complete reshuffling of their day’s agenda.
Digital medical transcription streamlines this process, allowing healthcare professionals to cut down on tedious data entry and focus more on patient care. This approach is gaining popularity worldwide, with the global medical transcription market valued at approximately $5 billion and projected to reach nearly $7 billion by 2024.
In the medical transcription process, a transcriptionist listens to audio recordings made by healthcare professionals and transcribes them into written documents, all while ensuring accuracy. This is a crucial aspect of the healthcare sector, as it frees up valuable time for physicians to concentrate on patient care.
A variety of medical reports require transcription, including physical examination records, patient discharge summaries, emergency room documents, x-ray reports, operative notes, and chart entries. Let’s delve into the steps involved in the transcription process.
1. Professional Medical Dictation:
The process of medical transcription starts when a healthcare provider records patient information using a digital recording device, such as a phone or handheld recorder. It is essential that these medical professionals utilize high-quality recording equipment to ensure the clarity of the recordings and the accuracy of the transcribed texts.
2. Sending Voice Files:
Once the audio files are complete, they can be safely uploaded to a secure server, allowing medical transcriptionists to access and begin their work on them.
3. Converting Voice Files to Text:
In this phase, transcriptionists play the audio files back, often using foot pedals, to type exactly what they hear while setting aside editing tasks for later. If any recordings are unclear or incomplete, the professional who made the recording is contacted for clarification.
4. Editing the Transcription Files:
After transcription, the files undergo thorough proofreading and editing. Any mistakes or inconsistencies are corrected. We take pride in maintaining a 98.5% accuracy rate at Fast Chart, ensuring that providers receive precise, structured, and easily shareable medical documents.
5. Delivering the Final Documents:
The final step involves submitting the edited documents back to the medical facility, using various methods such as fax, modem, email, or secure internet transfer. Timeliness is essential in ensuring these documents reach the facility without delay.
Here are some essential points that highlight the importance of medical transcriptionists:
Medical transcriptionists, often known as healthcare documentation specialists, employ electronic tools to transform voice recordings made by physicians and healthcare workers into structured reports. They may also edit medical records for accuracy before submitting them for review and approval.
In today’s tech-driven world, we are pushing the boundaries of what’s possible with NeuroSymbolic AI to achieve a human-like understanding of our environment. Our Brain-Inspired Spoken Language Understanding (BISLU), paired with a proprietary Thought Representation Ecosystem, enables the development of intelligent, low-power technology. Essentially, whether you express your thoughts in a single line or multiple sentences, BISLU will accurately grasp what you’re communicating.
➞ We are proud to introduce the world’s first Thought Representation Ecosystem, which features innovative tools designed to effortlessly represent complex human-like thought patterns on computers. We utilize a unique language called ETML (Extended Thought Mark-up Language) to encode structured data that reflects human thoughts.
➞ Simbo.AI is built on the BISLU architecture, allowing it to understand humans in a uniquely human-like way. Instead of relying on traditional intent-based AI classification, BISLU employs Universal NLU.
➞ Thanks to Universal NLU, Simbo can seamlessly convert speech into thought representations, setting it apart as a truly unique solution. SimboAlpha serves as a Smart Voice-Based Assistant for Doctors, essentially functioning as a Digital Secretary. It accommodates various native and Indian English accents, and it is trained on both international and Indian clinical terminology. Even in noisy environments, SimboAlpha demonstrates remarkable accuracy. This technology leverages Neural Networks trained on over 10 million audio recordings, combined with a state-of-the-art Speech-To-Text Engine and Clinical NLU.
AI holds immense potential in the healthcare sector. While Symbolic AI is often viewed as a rule-based engine with certain limitations, the fusion of statistical AI, like Artificial Neural Networks, with Symbolic AI shows promise and remains an area of active research. We believe this decade will be dominated by advancements in NeuroSymbolic AI. Our research focuses on deconstructing massive AI models into several stages, adhering to valid symbolic representations.
➞ Our investigation not only propels us towards achieving explainable AI through NeuroSymbolic AI but also facilitates the training of models using minimal data. This approach allows us to work with higher-order datasets, such as paragraphs and narratives, without the need for extensive datasets.
➞ Our NeuroSymbolic AI architecture is founded on GIPCA (General Intelligence Predictive and Corrective Architecture). BISLU is constructed on this GIPCA framework, providing an innovative alternative to traditional NLU models that often train as intent-classification systems. These conventional intent models typically deal with a limited set of intents, restricting the ability of computers to understand humans in a truly empathetic manner.
➞ Universal NLU aims to comprehend human expression at a human level, processing a stream of spoken utterances to produce Human Thought Representations. If the utterance aligns with the domain knowledge of Universal NLU, it generates high-resolution thoughts; otherwise, low-resolution thoughts are produced. This system remains continuously vigilant, extracting information for ongoing processing.
Our passionate team is composed of talented AI Research Scientists, Software Engineers, UI-UX Designers, and Clinical Specialists, all working together with a shared mission to improve healthcare intelligence. We function at the vital crossroads of Deep Learning and UX Research to bring this vision to life. We’ve created a unique, patent-pending technology that outperforms current speech recognition systems in both speed and accuracy.
Mr. Baljit Singh is the Co-Founder and CEO of Simbo.ai. With a Master’s degree in Technology from IIT Delhi, he boasts two decades of experience in technology, business, strategy, and management. His deep expertise lies in Artificial Intelligence, Software Design, and the Integrated Circuit Design Industry.
Mr. Praveen Prakash holds the position of CTO and Co-Founder at Simbo.ai, also with a Master’s degree from IIT Delhi. He manages all aspects of Technology Development and Deployment. Beginning his career in Software Engineering at the turn of the millennium, his dedication to healthcare—stemming from his family background—has driven him to improve health and wellness. Prior to joining Simbo.ai, he made noteworthy contributions at mTatva, enhancing the experiences of patients and healthcare providers, and is now focused on increasing Doctor productivity.
Mr. Rakesh Chandra, Director of the Clinical team at mTatva, oversees Delivery and Operations for B2B clients. He began as a trainee at mTatva and rose to the director position in six years, showcasing the growth opportunities within the organization through commitment and solid mentorship. Rakesh is driven by a passion for creating innovative, disruptive digital products and is always on the lookout for ideas that defy convention. Customer management is a key focus for him, and he takes personal responsibility for ensuring a seamless onboarding experience for new clients, always aiming for their complete satisfaction.
At Simbo.ai, we believe that Artificial Intelligence reaches its fullest potential only when wielded by skilled users. That’s why our advancements in conversational AI begin with careful listening, thorough analysis, and a deep understanding of the individual needs of those we serve. Our Medical Scientists and Computer Scientists work in close collaboration to equip healthcare professionals with high-quality tools and services powered by Artificial Intelligence.
Our mission is to provide robust AI-assisted analytical tools that enhance the Digital Voice platform, efficiently capturing patient narratives across all major Electronic Health Records (EHR) systems through secure, cloud-based speech recognition and transcription. From Scientific Research to Clinical Diagnostics, our aim is to empower healthcare professionals with the digital solutions necessary to navigate the ever-changing landscape of Medicine.
We are a diverse combination of experienced scientists and entrepreneurs, combining knowledge from medical sciences, Artificial Intelligence, and multiple life sciences fields. The well-being of patients remains our top priority, which is why we furnish Doctors with state-of-the-art technology that enables them to deliver the highest standard of patient care. Simbo.ai is at the cutting edge of innovation, and adopting SimboAlpha is the next crucial step in helping our Doctors reconnect with their true passion—caring for patients.
Simbo is making doctors' and patients' lives better. Connect now to know more.
Schedule Demo Now© Since 2019, Simbo AI.