What AI can do with unstructured data in healthcare
Improve data protection and minimize paperwork
Most security disasters in the healthcare industry are caused first by human error and misuse and physical theft and hacking second. Electronic Health Records or EHRs not only structure patient information but also allow for safe access and more personalized care.
Increase diagnostics accuracy
In the US alone, over 12 million patients are misdiagnosed annually. Deep learning applied to healthcare can radically improve that statistic: Instead of following a routine checklist, healthcare professionals can benefit from the informative by-product of algorithms that can read data using computer vision, text and sound recognition, and natural language processing.
Boost clinical performance
Running any medical facility is a complex, multi-faceted undertaking rife with the possibility of making unfortunate decisions. The obvious, well-documented risk level is high. Data-driven software provides clinicians with the opportunity to make better sense of their data – schedule more efficiently, create smarter reports with Business Intelligence, and automatically manage supplies. Making these decisions with far greater ease saves time and allows medical staff more time to concentrate on medicine.
Uncover AI opportunities in Healthcare
Medical image analysis using computer vision
Use computer vision on various radiology studies to identify tumors, patterns, and disease progression or regression.
Precision medicine using patient data analytics
Provide personalized healthcare by analyzing the full medical history through Electronic Health Records. Use the information you already have to create finely-focused treatment.
Simplified data management with Natural Language Processing
Incorporate speech recognition and NLP to record clinical documentation, make medical data more accessible to patients, and perform medical policy assessment.
Intelligent administrative workflow assistance
Transform how you do your healthcare business with ML for clinical data analysis and management. Eliminate routine tasks for medical staff and apply smart scheduling to save time for doctors and patients.
Faster and more accurate pharmaceutical research
Automate research efforts using machine learning algorithms. Save months or even years of research and deliver a cure faster by feeding AI billions of already available data points.
Medical fraud and data security solutions
Apply predictive analytics and deep learning techniques to predict fraud, detect suspicious behavior in real time, prevent patient data breach, and avoid upcoding.
Patient monitoring using wearables
Collect and make use of data generated by human bodies. Track chronic diseases, incorporate medical recommendations into patient lifestyles, and predict disorders.
We had a brilliant experience working with AltexSoft. They delivered great solutions using cutting edge techniques. The quality of their work was excellent and was all delivered on time. The team was a pleasure to work with.
Leighton Howard,Founder & CEO at GenericsWeb, Australia
After trialing a few different outsourced software developers without success, we were delighted to learn that AltexSoft takes a different approach. Not only do they have depth of talent and experience, but they also promote ownership of the projects and look after their staff to maintain tacit knowledge on the team. The team always takes time to fully understand the scope of the project and does not over-commit in terms of time or technical outcomes. All of this leads to high quality delivery of projects in a timely fashion which end users will love.
Marko Cadez,CEO at Fareboom - Best Travel Store company, United States
AltexSoft’s commitment to precision in the overall planning and execution of the full development cycle ensures sustainable application growth with minimum redesign requirements and typical time wasted on short term, throw away projects. I highly recommend AltexSoft to well informed and educated clients who appreciate and understand the benefits of a holistic approach to application design and development, resulting in minimum cost of development and ownership.