The whole idea of artificial intelligence in healthcare is not new. AI has been applied in medical practice for some time, actually. But always new applications keep emerging.
People like to read about innovations because it gives the feeling of “the future is now.” But the feeling comes and goes. To make it last, one needs to experience innovation. What are the stoppers? Adopting new technical means being pricy? Or simply accepting things the way they are, with endless paperwork and an unbelievable workload? Do filling out medical charts and progress notes, writing referral letters and discharge summaries, ordering tests and procedures, filling out insurance forms, and completing death certificates sound familiar?
Not to mention the treatment itself!
The good news is hours of doctors’ time can be freed up with AI-powered solutions at your medical institution.
Challenges that Could be Solved by Artificial Intelligence in Healthcare
In ways that can really improve the practice, because AI is not a buzzword but a powerful tool right here for you to use.
Documentation goes first. The biggest time stealer and pain in the neck. Imagine how much time could be saved (and necks not aching!) by an AI-powered EMR system that automatically extracts information from test results, imaging studies, and other sources to populate patient charts, reducing the need for manual data entry.
And every computer-assisted examination like mammography will not only detect suspicious regions in medical images but also record and summarize those findings.
You can even have doctors’ voice notes transcribed in real time so they have their observations in text form and nothing slips away—minus one reason for paper for note-taking.
And how about old records piling up in archives, especially handwritten, or wrinkled, or faded? It could take months of labor to digitize them for further use. Computer Vision + Natural Language Processing, both subfields of AI, turn months into minutes. Ask us for a demo and see for yourself what a data extraction solution by Tensorway can do.
But managing the existing data is the tip of the iceberg. Benefit from predictions.
Models trained on terabytes of patient data predict future health outcomes, allowing doctors to manage and treat conditions before it’s too late.
Drug development, another extremely data-rich field, profits from AI which algorithms analyze data from clinical trials and identify patterns and trends to find new drug candidates and maximize drug efficacy and safety.
And the recommendation systems? The latest findings from the medical literature that doctors haven’t gotten around to in their tight schedules will assist them in decision-making, improving patient outcomes, and reducing the risk of errors, which is especially valuable in critical situations. A recommendation system trained on clinical trials enables prescription audit—and thus minimizes associated errors and adverse events.
And of course, you’ve heard about how AI is applied in surgery, where Computer Vision can significantly facilitate invasive procedures by providing accurate information on the location and orientation of surgical instruments in the body. And imagine that prior to the intervention, doctors have insights from X-rays, CT scans, and MRIs delivered to them straight by the AI.
More to Automating Medical Services and Solutions with AI-Based Software
Analyzing medical images or predicting health outcomes is not the only application of AI and ML in medtech. Your business can greatly benefit from automating procedures that previously required human supervision.
A recommendation system can analyze a doctor's schedule and propose the patient the best available time for an appointment or notify a patient to do a regular checkup, in case you seek to improve your telemedicine app.
Medical documents can be automatically digitized and added to the databases, saving lots of time and costs. And automatic systems for inventory management and periodic automatic replenishment will reduce costs and ensure that all necessary items are available in sufficient quantities.
Those use cases are impressive, but what’s more important is that it’s available for you right now. Tensorway’s AI development is focused on results that will help you achieve more by making less effort. If you want to know how we make amazing things like that happen, see our podcast:
And we do think we have every right to tell you that AI will lead you to greater results in healthcare practice. We originate from software company Anadea which has extensive experience in building software for healthcare institutions and medical apps, from EHR to apps for medical devices. It was when award-winning DL engineers had joined the Anadea team that we decided to deliver specifically AI-powered solutions under a new brand name. Anadea’s clients are proud of working with the company, and this is the attitude we do everything to preserve.
So whether you are looking to improve your healthcare facility operation or power your medical mobile app with AI, you know what to do. Tell us what you need, and we’ll figure out how to make it beautiful AND working.
Data extraction using AI refers to the automatic identification and extraction of relevant information from unstructured or semi-structured data sources, such as text documents or images.
AI in Healthcare
Artificial Intelligence (AI) is transforming healthcare by streamlining operations and enhancing patient care. Its impact is far-reaching.
Deep Learning (DL)
Deep learning is a subfield of AI that uses algorithms inspired by the structure and function of the brain, called neural networks, to process and analyze even bigger amounts of data.