Pravin Vazirani of Chetu Discusses AI-Powered Innovations in Healthcare Software and Device Solutions
Remote Healthcare
The demand from patients and the benefits for the healthcare industry explains why Statista reports that global revenue for “Online Doctor Consultations” will increase from US$9.46bn in 2024 to US$11.52bn by 2029.
Telemedicine has quickly become an accessible healthcare option for patients who live in remote rural areas, are homebound, or are on the go. It’s a way for patients to get the care they need without the hassle, inconvenience, or inability to leave their homes.
To meet this need without sacrificing patient privacy or care, we create reliable virtual visitation software that helps patients and physicians feel like they’re meeting in person, even if they’re hundreds of miles apart. These features include HIPAA-compliant video conferences, AI-driven chatbots, e-prescriptions (eRx) and Electronic Medication Administration Records (EMAR).
Chetu tech experts also build software for wearable devices like smartwatches that track a user’s heart rate, sleep patterns, physical activity and more. Our programmers develop cutting-edge wearable device apps so users can monitor their metrics and progress from their phone or smartwatch and healthcare professionals can monitor remotely.
Not only do our developers build telemedicine software, but they also create customised telemedicine apps that keep patients and providers in touch with each other. A telemedicine app allows patients to search for doctors, book appointments conveniently, message their doctor’s office, make payments, video chat with physicians and nurses and read reviews. As for providers, they can utilise our intuitive apps for onboarding purposes, managing appointments, monitoring patients, using eRx and reviewing valuable reports and analytics.
The impact of AI in remote health is felt in virtual care, chatbots, remote patient monitoring, personalised treatment plans and predictive analytics. These allow physicians and other healthcare professionals to focus on patient outcomes often associated with chronic diseases, medication and other medical history issues. Machine Learning is a critical technology that allows AI-powered healthcare platforms to analyse patient data in real time, minimising human error and making accurate diagnoses in the early stages of a disease.
Specialty Healthcare
Practising a specialty, such as dentistry, radiology, surgery, ophthalmology and dermatology, allows physicians to expertly guide patients through their medical journey and examine specific areas that affect them. With modern healthcare technology like medical imaging, clinicians can accurately diagnose and treat multiple specialty medical conditions.
Chetu develops custom medical imaging processing software that seamlessly integrates into various medical imaging tools and systems. Our developers comply with DICOM, the international medical imaging data exchange standard and PACS to store, retrieve, manage and distribute medical images.
Like most of our technology, we implement AI solutions such as quantitative image analysis, automated lesion detection and image reconstruction. This advanced implementation provides radiologists with accurate diagnoses, predictive analytics, and reduced patient radiation exposure. Earlier, more accurate diagnoses can also lead to healthier long-term patient outcomes.
Doctors can also use AI platforms to determine the most effective medication for each patient based on their medical histories, genetic makeup and lifestyles. The pharmaceutical industry is using AI systems to develop more effective drugs faster.
AI is a transformative technology revolutionising all aspects of healthcare and Chetu is working with healthcare professionals to streamline operations and elevate patient care. As yesterday’s science fiction becomes today’s reality, Chetu is poised to shape the future of healthcare technology.
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