Learn how machine learning powers medical search engines—tackle high data volume and complexity for better results.
Should I build a data lake? What are the benefits and challenges of data lakes?
The future of clinical trials might very much depend on AI-based technology—specifically on machine learning.
Electronic medical records processing, compared to paper-based systems, is much more convenient—but it also brings about another huge advantage.
By standardizing nurse triage guidelines through automation, triage systems can help ease the burden on modern medical care.
The integration of AI in radiotherapy has been gaining momentum in recent years, here’s why.
Healthcare and data lake can go hand-in-hand to save lives, and this is how the healthcare industry has been utilizing the technology.
Incorporating healthcare datasets for machine learning is a growing trend today — with better performance as well.
Learn how small healthcare data boosts patient care, streamlines operations, and cuts costs. Discover practical strategies in our blog post.
The COVID pandemic sped up changes in health care and especially its changes in data acquisition and use.
Explore how EMR software centralizes communication, tracks performance, and streamlines healthcare workflows. Learn more in our blog post.
Build a user-friendly patient portal that tracks treatment history and enables direct communication—discover best practices in our guide.
Reading heart rate variability is vital in the COVID pandemic era, but doing so requires making sense of what’s been called ‘mathematical chaos’.
Explore HRV analysis software features and learn how custom solutions extract heart rate variability and RSA metrics for deeper insights.
Medical trend for 5 years: can we predict it? Surely! Check out this article to know all the trends in the healthcare industry.
Telehealth has become a booming industry in the past year but not without its share of setbacks. Thanks to business innovators, that might all soon change.
Learn how clinical trials select patients and how machine learning can enhance therapy testing results. Read our article for expert insights.
What are the best triage assistant stacks for building a smart app in 2021? We take a look in this article.
In this article, you will learn the stages of drug development and how pharmaceutical scientists develop new medicines.
Learn how data risk patterns in medicine aid hypothesis building and disease risk analysis. Explore key data mining techniques in our article.
Real-time data benefits speak for themselves, but that doesn’t mean it's easy to implement, or right for every organization.
AI Symptoms checkers are increasingly critical to augmenting your medical workforce make diagnosis with symptoms.
Learn more about telemedicine in nursing and how it transforms the healthcare industry making it more accessible to everyone.
In this article, you will learn about case studies of biosignals processing with Python, and the best tools and libraries for biosignals processing.
How is Big Data driving the future of healthcare? This overview covers the state of Big Data Research in Medicine in 2021
Discover how hospital tracking systems optimize workflows, increase bed turnover, and improve patient care. Learn how it works in our guide.
Explore top pharmacy delivery solutions—overcome challenges, optimize operations, and enhance customer satisfaction. Read our guide.
Learn how to tackle pharmacy delivery challenges and implement solutions that streamline operations and boost customer satisfaction.
Learn how nursing home software like PointClickCare streamlines processes, frees staff for patient care, and boosts efficiency.
Today, we will discuss use of neural networks in healthcare, and how humankind can benefit from it.
Explore why healthcare adopts machine learning and see successful AI implementations in the medical sector.
Learn how healthcare institutions can adopt new technologies—explore benefits, challenges, and best practices for digital transformation.
In this article, we will discuss effective medical applications development and their impact on the modern healthcare system.
In this article, we will discuss software that can provide the highest clinical data protection level and provide patient data-sensitive solutions.
In this comprehensive guide, we'll go over concepts like telemedicine, telemedicine doctor, and what you need to create your own service.
In this article, we'll review openEHR and FHIR, their management and storage for health data in 2021.
Explore healthcare surveillance software: applications in hospitals, monitoring capabilities, and potential use cases for improved patient safety.
Discover why real-time patient alerting matters for healthcare providers and how notification systems elevate care delivery and outcomes.
Big data for better health: clinic data structure, how a medical institution can benefit from a database management system.
Triage analytics in healthcare. In what way do big data analytics help with claims segmentation and triage in the medical industry.
Machine learning in medicine. How ML and AI work for the healthcare industry, influence an institution’s workflow and what the business outcomes are.
Welcome to big data in medicine guide. In this article we will explore the role of data analytics in healthcare and its potential for healthcare.
Welcome to a quick guide to sklearn package. Learning the basics of scikit learn, main features, installing recommendations.
A guide to chatbot for medical enterprise. Exploring key advantages, use cases and prospects for a modern healthcare facility.
Explore clinical variant analysis in cancer: powerful tools, deep data, and how precision insights fight deadly diseases.
Discover the power of genomic analytics and learn how genetic data tools drive breakthroughs in research and patient care. Read on!
In this blog post we’ll explore the fundamentals of healthcare management software, how it helps, why introduce it to a facility.
Explore how healthcare software boosts efficiency, patient care, and growth. Discover why custom apps are essential.