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Key benefits of speech recognition technology for saas in healthcare

Key benefits of speech recognition technology for saas in healthcare

The healthcare industry is an open field for tech innivations. One of the most promising technologies in the sector is voice recognition. Let’s take a close look at the benefits voice recognition technology can provide for healthcare, and how SAAS companies can benefit from adopting it.

Key Benefits of Speech Recognition Technology

In light of the global pandemic, a growing number of SaaS businesses are seeking to tap into the healthcare sector. In fact, IT and medical services are among the most promising industries, attracting international investors and showing a high potential for growth.

While established names and solutions offering speech recognition in healthcare are represented, the market is wide-open to new players offering better pricing and customizable solutions.

Let’s take a close look at why voice recognition technology in healthcare is so promising, and how SaaS companies can benefit from adopting it.


The global healthcare sector has been experiencing a shortage of medical workers and caring staff. Should it be necessary that part of a team go on a mandatory quarantine, due to exposure to COVID or other diseases, a hospital may experience a lack of resources to accommodate the needs of its patients. Moreover, given how long it takes to earn the proper qualifications combined with the extremely high global competition rates, recruiting new healthcare professionals is no small task.

As a result, hospitals and clinics have had to find ways to optimize their processes — for example, by adopting voice recognition technology in healthcare.

The statistics are bleak: on average, it is not uncommon for a medical worker to spend up to 6 hours a day simply filling in medical records. Be it due to sleep deprivation, whatever the cause, patients are not getting the dedicated support that they deserve. Furthermore, existing medical speech to text solutions are often cumbersome, relying on the user to dictate all punctuation in slow motion and often require subsequent manual transcription.

Given the seriousness of the situation, there is a growing need for an effective time-saving solution that allows physicians to focus on saving lives rather than arguing over grammar and punctuation with medical dictation for Mac software.


The basic software solution for healthcare professionals is simple: medical speech to text conversion.

However, to stand out from the competition, SaaS companies who are willing to address this challenge need to focus their development and marketing efforts on the following benefits of voice recognition software in healthcare:

  1. Accessibility from any device, including smartphones, tablets, and PC recording devices.

  2. Voice recognition medical transcription with time-saving and hassle-free automatic punctuation. 

  3. Error-free transfer of data to standard medical records (e.g. the EHR form in the US).

  4. Voice recognition medical glossary that allows the user to select their regional accent and dictation speed.  

  5. AI analytics of Big Data based on the patient’s medical history.

  6. Possibility to export medical speech recognition data to popular clinical IT platforms such as  Cerner, Allscripts, EMIS, CSC, McKesson, Health, Sectra, and others.

  7. No need for further edits or rewording.

  8. Decreases or totally eliminates transcription costs provided by third parties with the help of voice recognition healthcare solutions.

  9. An intuitive interface that clearly shows each action.

  10. Using speech recognition in healthcare for better mobility: allows for on-the-go dictation rather than returning to the office to make records.


Seeking to offer more functionality, SaaS companies can apply speech recognition technology in healthcare in combination with the remote control access of medical devices and document systems.

For instance, a caregiver, whose voice has been previously added to the software, can give voice commands to medical devices that serve patients. Some applications include:

  • maternal and infant care devices (monitoring and alerting devices)

  • oximeter (a small device measuring how well oxygen binds to the red blood cells)

  • medical monitors measuring blood pressure, ECG, and EEG

Remote control access ensures faster operation when dealing with multiple patients and also reduces human contact, which is especially precious in the times of Covid-19. At the same time, it is of the utmost importance to ensure that speech to text medical transcription is enacted only by authorized users, sends commands only via secure Wi-Fi protocols, and is capable of distinguishing clear messages in noisy environments.

Speaking of document creation, it is important to highlight that there has been a steady growth in the adoption of EHR (electronic health records) globally — WHO indicates an increase of 46% in the last 5 years. The EHR market hit $31 billion in 2019 and is expected to increase. These systems often further integrate with pharmacy and laboratory systems, which provides additional opportunities for speech recognition in healthcare SaaS providers. 

Reaping the benefits of speech recognition technology in healthcare, along with EHR systems, should be a key priority for health-tech companies in both developed and developing countries. Being highly condemned as a ‘time waster’ (filling in documents still takes almost half of a physician’s time), electronic medical records do not resolve the issue of paperwork unless SaaS providers improve them with voice recognition healthcare solutions.


They say, “errare humanum est”, but in a doctor’s case, mistakes can cost lives. In fact, in the USA, medical malpractice is second to motor vehicle accidents as a leading cause of injury. Some 440,000 people die globally due to untimely care and preventable medical errors (Journal of Patient Safety). Johns Hopkins University stresses that physician malpractice is the third-leading cause of death in the US.

Typical medical errors, which could be avoided with the help of voice recognition medical transcription, include:

  • prescription of the wrong medication

  • infections acquired inside the hospital

  • errors related to anesthesia

  • untimely diagnosis and/or delay in treatment

  • absence of an adequate follow-up/monitoring following treatment

  • misinterpretation of test results

  • technical failures

  • inadequate information flow, e.g. if a patient is transferred to another facility

  • lack of knowledge or resources to provide proper consultation

  • inaccurate voice recognition medical transcription if poorly developed software is used

  • patient-related issues (e.g. reluctance to give written consent for risky treatment)

Addressing these issues opens enormous business opportunities for new voice recognition software in healthcare. Check the boxes, check the competition, seize the market, and develop something outstanding.


Paperwork optimization is one of the key benefits of voice recognition software in healthcare.

The illegible penmanship of a doctor is legendary. Feeling time pressure and having to deal with a high workload, physicians tend to reduce their paperwork as much as possible, which can lead to calligraphy that is not always easy to understand.

With the adoption of electronic health records, the problem of bureaucracy remains unsolved. Firstly, some seasoned professionals of senior age may have little experience with PC, leading to data entry taking more time than handwriting and thus requiring the hiring of additional administrative staff. Secondly, human errors may occur during data entry.

Here is where SaaS providers can offer benefits of speech recognition technology in healthcare:

  • medical speech recognition provides error-free speech to text medical transcription

  • voice recognition software in healthcare provides instant results, meaning that there is no need to hire an external transcriber whos job it is to go over the audio to create notes from a recording

  • voice recognition medical transcription relies on pre-installed medical vocabulary, which ensures correct phrase matching and eliminates the possibility of human error due to the transcriber’s unawareness

  • voice recognition medical records can be imported to EHR systems in real-time

  • if treatment requires visiting more healthcare specialists, they will all be able to instantly access clear, error-free records based on medical speech recognition


Jonathon Dreyer from Nuance Communications discusses the various areas that voice recognition is being integrated into mobile health applications at the mHealth Summit.

Voice recognition medical solutions are much broader than one may think. Here are 10 examples of SaaS providers finding their own niche in voice-based healthtech:

  1. ConversationHEALTH creates voice chatbots for pharma companies, which read aloud the benefits of the medication to prescribers.

  2. Kiroku specializes in medical speech to text transcription, specifically for dentists.

  3. Canary Speech uses speech recognition in healthcare practices such as depression, stress, Alzheimer’s, or Parkinson’s treatment.

  4. WinterLight Labs develops vocal biomarkers in the mental health sector, targeting cases of dementia, aphasia, Alzheimer’s disease, or depression.

  5. Aiva Health integrates Amazon Echo to ensure remote communication via voice recognition medical transcription between the care manager and the nursing staff.

  6. Syllable creates voice-based chatbots capable of booking appointments, answering common questions, collecting data for forms, etc.

  7. Voiceitt empowers people with speaking issues to convert their speech into effective communication.

  8. Ava creates automatic subtitles for any kind of communication, thus improving inclusivity for deaf people.

  9. Cuida Health targets elderly people as a one-stop-shop for setting alerts to take medication, communicate with family members, manage hospital appointments, and share their health data remotely.

  10. Memory Lane enables seniors to record stories of their life and share them with their dear ones.

The above are just some examples of how to apply voice recognition technology in healthcare. The market is booming, and there are plenty of opportunities to enter it.


If you are a SaaS provider looking to tap into the healthcare industry, medical speech recognition is definitely a technology to look into. 

Firstly, medical speech recognition saves a physician’s time and eliminates human error.

Secondly, speech to text medical transcription empowers people with reading, hearing, or speaking disabilities.

Finally, voice recognition healthcare apps have endless opportunities for synergies, from EHR integration to remote medical device management and chatbot consultants.

If you are feeling inspired after learning more about the tech side of speech recognition in healthcare, we will be glad to guide you further.

October 28, 2020