A telemedicine app can have plenty of features to develop. But what technologies will be used, and how can you stand out for your app? It includes implementing ongoing healthcare technology trends, including artificial intelligence, the internet of things, cloud technologies, etc., with telehealth application development. Let’s discuss these healthcare technology trends in brief.
Artificial Intelligence:
A great example of an Artificial Intelligence use case is chatbots. It is understood that doctors can’t be available all the time. Therefore, chatbots are better replacements to answer users’ questions about the doctor’s schedule, competency, etc. Chatbots can even reverse a consultation if a patient doesn’t have any specific requests. But chatbots also have limitations as they can’t prescribe medicines or set up a treatment plan, they can only automate some routine processes to save doctors valuable time.
IoT:
The Internet of Things is also a most sought-after name among healthcare technologies. IoT-based wearables let doctors monitor patients’ conditions and receive notifications in case of emergency. Gadgets like fitness trackers, stress meters, scales, and others let doctors collect patients’ health statistics and adjust the treatment plan accordingly. With Smart drug dispensers, physicians can set a pill schedule without involving patients. A dispenser then will send notifications to the user’s phone when it’s time to take pills.
Cloud Storage:
You have only two options when storing all gathered data, either cloud or on-premise. With an on-premise model, you’ll have to invest a hefty amount in renting a place for servers, buying the hardware, and building a fault-tolerant network. Then you will be able to get the storage that you can manipulate and scale as per your requirements. And the expense to maintain the whole system is way costlier than the cloud storage.
If you go with cloud storage, for example-Amazon S3, you will be charged $0,022 per month for a gigabyte of space. However, the price majorly depends on the region and the amount of space you need; still, it will cost you significantly cheaper than if you go for an on-premise model. Also, you will benefit from a ready-made security system from Amazon that reduces development costs.
Blockchain:
Blockchain technology allows data sharing among doctors and patients in a secure encrypted format. The technology sees a higher rate of adoption in healthcare to offer a secure data transfer ease in telehealth applications. Using its distributed networks, healthcare professionals can seamlessly share patient information.
Big Data:
As everyone knows that healthcare organizations deal with a large amount of data from generation to its processing. Big data enables them to collect and analyze EHRs (electronic health records). Using this information, they can provide better care to patients, deliver a more accurate diagnosis, conduct medical research, and reduce healthcare costs. In addition to this, big data analytics techniques can be used to prepare a proper dose of medicines and treatment plans for individuals in remote areas.
Deep Learning:
Integrating deep learning into the telemedicine app helps obtain insights from vast amounts of medical data. Using this technology, healthcare service providers can make more accurate predictions about a patient’s well-being.
Source: https://www.dreamsoft4u.com/blog/how-much-does-it-cost-to-build-a-telehealth-application
Because experiencing the technology for the first time in a different kind of a thrill.
With the advent of radio and telephone, telemedicine was a far cry but not that far due to the growing need for remote medical assistance.Currently, telemedicine has also grown on its users just like any other technology.
EMRs enjoy upper hands over paper records when integrated with custom telehealth software development.Telehealth software solutions and EMR have made medical services more productive and dynamic.
Significantly, the best telemedicine frameworks should pair flawlessly with other IT solutions.Electronic Health Records(EHR) center around the holistic wellbeing of the patient—going past standard clinical information gathered in the medical practitioner's office and comprehensive of a more extensive view on a patient's medical condition.
They work to impart data to other medical care providers, like labs and specialists, so they contain data from every one of the doctors associated with the patient's medical consideration.When these two frameworks blend in a custom telehealth software development, they produce a force to be reckoned with of clinical proficiency.
This situation can make it challenging to focus on the data you need.
