Tech Innovations: How AI is Enhancing Patient Care through Healthcare Apps

6 min readJan 18, 2024

Artificial intelligence (AI) has undoubtedly touched people’s lives, but it has also impacted their longevity — through innovative patient care.

The integration of AI in healthcare apps has enabled medical practitioners to offer tailored patient services. Remote monitoring, consultation, medical data analysis to enhanced decision-making — AI has transformed healthcare service standards. So, medical institutes are keen on using and investing in the best healthcare apps for patients.

Moreover, AI-based apps help doctors offer accurate services with a faster turnaround period. This saves sufficient time, which can be spent on preparing treatment plans and diagnoses. For instance, generative AI in healthcare is refining diagnoses.

This post explores how AI is fast-forwarding healthcare services and shaping a better tomorrow for patients.

Empowering Patients and Doctors with Improved Telehealth Services

One of the significant contributions of artificial intelligence in healthcare is enhanced telehealth services. Let’s understand how this benefits both medical professionals and patients by looking at two scenarios.

Suppose you’re a patient residing in a location lacking substantial medical facilities. You may have to visit a nearby town or city to avail of these services. However, it may not always be possible or economically feasible.

Likewise, a doctor lacking sufficient staff in their hospital may struggle to handle patient appointments. Administrative tasks can be time-consuming or complex even if they have the needed staff.

What is the perfect solution for both cases? An AI-based telehealth application that connects doctors to patients while elevating patient care. Here are the benefits –

Administrative support, booking appointments, and tackling related tasks
Offering real-time medical data to physicians during remote consultations
Enabling patients to describe their health issues through simple app-based questions

Besides, AI technology in healthcare helps medical practitioners improve patient care by storing the session details efficiently. We’ll delve into that in the following sections.

Real-Time Medical Transcription: A Boon for Doctors

Patient interactions and consultations require substantial note-making by the doctors/physicians. Be it in-person or remote consultations, the session notes help create treatment plans and prescriptions. So, information accuracy is a vital factor here.

Doctors have resorted to artificial intelligence as EHR-based documentation and transcription can be time-consuming. Real-time speech-to-text AI transcription applications speed up the process during remote consultations. These can also be beneficial during in-person visits.

The apps transcribe information accurately while incorporating essential medical terminology. Also, machine learning-based apps can learn medical jargon efficiently over time. It assists doctors in creating a rich, accurate, and shareable source of medical data that boosts virtual diagnosis.

A significant use of AI in healthcare transcription is overcoming language barriers. For example, if the doctor isn’t comfortable with the language the patient speaks, these AI apps offer real-time translation. It will reduce the requirement for a translator and make the process seamless.

But what if a doctor isn’t available for a remote consultation? What if the patient needs to resolve some issues about appointments on their own?

Let’s see how AI helps them in those situations.

AI-Powered Chatbots for Patient Assistance and Personalized Treatment

The implementations of artificial intelligence in the medical field have changed the personalization of patient services. AI-powered chatbots play a major role in assisting medical staff and simplifying their daily responsibilities. They are the prime examples of conversational AI in healthcare.

Primarily, AI-powered chatbot apps installed on hospital websites allow patients to ask questions freely. They can enquire about the available services, schedule appointments, and cancel appointments. The tool offers the necessary information and guides the patients, improving their overall user experience.

Plus, these chatbots are accessible on WhatsApp after the customers have shared their phone numbers with the hospital. So, doctors or nurses can send scheduled reminder messages to patients about appointments or dosage. Asking patients about any side effects is also possible through the apps.

This makes the chatbots on-demand platforms for offering personalized healthcare services. When a patient asks for their medical records like prescriptions or reports, chatbots can provide those easily. It benefits the hospital staff as their call lines stay free for handling emergencies.

AI in Medicine: How is it Revolutionizing Drug Development?

AI in medicine and healthcare has become relevant as doctors utilize modern technology for drug development.

It might take around 12 years to launch a drug after testing it against different genetic mutations, cell types, and diseases. It’s a time-consuming and expensive process that is often difficult for researchers to manage. However, AI can speed up the testing and experiments.

Software applications based on machine learning make accurate predictions about processed medical data, enhancing experimentation. Further, the algorithms can deduce the side effects of the drug and its associated chemical compounds.

That’s not all! AI helps doctors understand the interactions between diseases and new molecules. The algorithms also calculate 3D shapes of proteins from sequences of amino acids. All this rapidly improves research and experiments, which enhances the drug’s quality.

Moreover, AI for medicine and drug research enhances molecular simulations and determines drug properties. These benefits reduce the expenses for executing candidate tests and slower traditional testing methods.

Exploring the Features of Top Medical AI Apps

One of the significant examples of AI in healthcare is how the technology is embedded into usable apps. Doctors are utilizing apps for complex tasks like radiology imaging to save time and streamline operations. Let’s take a closer look at some AI-based apps.

Aidoc for Radiology Solutions

Amongst the famous AI in healthcare examples is Aidoc, which utilizes deep learning algorithms to offer accurate radiology diagnoses. It examines medical images like X-rays and MRIs to identify complications. The app also assists doctors in –

Detecting imaging discrepancies and providing quality improvement advice
Prioritizing cases as per the detected anomalies, ensuring they receive prompt action
Tracking treatment effectiveness, disease progression, and improving patient care
Improved workload management through follow-up notifications from the app

Gauss Surgical for Perioperative Care

Gauss Surgical is a company implementing AI in medical field applications through data analytics to enhance patient safety and surgical procedures. Essential features of these applications comprise –

Assisting doctors by providing real-time insights and feedback during surgeries

Assisting doctors by providing real-time insights and feedback during surgeries
Analyzing surgical data and providing valuable insights to improve surgical operations and patient care
Aiding quality assurance and compliance with regulatory standards for surgical processes
Improve existing procedures and decrease complications during surgeries

These medical AI apps enable doctors to increase operational efficiency and save time on every task. Also, the decision support facilities let doctors build better patient-centric strategies that impact personalization.

The Bottom Line

AI and healthcare will always stay connected due to the modern requirements of rising health concerns. Doctors will require more medical artificial intelligence support to improve diagnosis, treatment, and disease detection. Generative AI healthcare will also contribute to uncovering better medical solutions and cures.

Moving forward, hospitals and research centers might collaborate with new-age healthcare AI startups. The objective will be to improve patient care personalization and focus more on drug discovery. AI used in healthcare is also influencing the development of new vaccines to prevent disease outbreaks. The analytics features of AI apps can aid in disease prediction.

So, if you are a hospital owner or a doctor looking to elevate patient services, partnering with an AI app development company can help. They can offer a customized solution based on your requirements and service drawbacks. This can also enhance your AI use in healthcare strategies for the medical facility.