Floor is a digital care worker who can take over the actions, thinking and communication of care providers. Floor does this by using Robotic Process Automation (RPA) and Artificial Intelligence (AI). Floor interacts with almost all applications. Floor's activities are repetitive and standardized in nature, but can be individually personalized and scaled up per organization. This includes: registration of new patients, quality registration, preparation of outpatient consultations, importing radiology images, home anamnesis, and many other administrative tasks. The time and costs of the implementation are low, which means that Floor can start within a few weeks!
The advantages of a digital care assistant are:
• More time for the patient/client: The workload of caregivers is reduced because administrative tasks are taken over by Floor. Floor is available 24/7.
• Direct cost reduction: Floor will be working in your area within two weeks.
• Extremely accurate: Floor eliminates the risk of inconsistency, delays and human error. This improves the quality and speed of repetitive processes.
• Seamless integration: Floor connects seamlessly to the current application landscape of your healthcare institution, so that no adjustments or integration of existing applications is required.
AI software development refers to the process of creating, developing and deploying software applications that use artificial intelligence (AI) techniques and algorithms. The goal of AI software development is to provide computer systems with the ability to mimic human intelligence and perform tasks that normally require human intelligence.
In AI software development, there are several techniques and approaches that can be used, including:
Machine Learning (ML): This is one of the most popular and widely used techniques in AI software development. Machine learning algorithms allow computers to learn from data and recognize patterns without being explicitly programmed. This allows machines to make predictions, make decisions and perform tasks based on the knowledge learned.
Natural Language Processing (NLP): NLP enables computers to understand and process natural language, such as written text and spoken words. With NLP, AI systems can understand human speech, answer questions and even have conversations.
Computer Vision: Computer Vision is an area within AI software development that focuses on processing, analyzing, and understanding visual information, such as images and videos. Using computer vision, AI systems can recognize objects, understand scenes and even identify faces.
Deep Learning: Deep learning is a subfield of machine learning that uses artificial neural networks. These networks are capable of learning and recognizing complex patterns in large amounts of data. Deep learning is especially useful in solving complex problems, such as image recognition and natural language processing.
Expert systems: Expert systems are AI systems that capture knowledge from experts in a specific field and use this knowledge to make decisions and solve problems. These systems can be used in various domains such as medicine, finance and engineering.
AI software development encompasses the entire process of identifying problems that can be solved using AI techniques, collecting and preparing data, designing and training AI models, and finally implementing and integrating these models into existing software applications.
AI software development has had a huge impact on various industries and application areas such as healthcare, finance, transportation, marketing and more. AI systems are used to solve complex problems, automate processes, improve customer service, and extract valuable insights from large data sets. With the continuous advancement in AI technologies, AI software development is expected to play an even more prominent role in the future.