Category: Healthcare
Learn how IT and cloud development drive better patient outcomes, streamline clinical workflows, and strengthen healthcare data security. Topics include EHR integration, HIPAA compliance, cloud infrastructure on AWS, and scalable healthtech software solutions.

Modernizing healthcare software is an imminent step for those organizations that struggle with outdated legacy systems, resulting in high maintenance costs, security flaws, ineffective workflows, and limited interoperability – problems that can jeopardize patient care and compliance. The article will shed light on how these challenges can be addressed with healthcare application modernization and highlight practical strategies to create a more patient-centered, agile, and secure healthcare environment.
The blog discusses:
- benefits of healthcare software modernization
- legacy IT systems type
- practices for successful modernization
- challenges and solutions
- healthcare system improvement cases

How automation, including methods such as AI, ML, and RPA, is transforming healthcare is by addressing key challenges and enhancing patient care, administrative efficiency, and data management. This article explores the transformative power of medical automation and demonstrates its capacity to optimize operations and improve effectiveness. Continue reading to discover how these technologies are being implemented to refine workflows, reduce manual tasks, and empower healthcare professionals with enhanced insights for better decision-making.
The blog discusses:
- the definition of automation in healthcare
- why it’s important
- what can be automated in healthcare
- technologies for automation
- implementation challenges
Data is fundamentally reshaping the healthcare landscape, and business intelligence (BI), along with data analytics, are proving to be powerful engines for enhancing both operational efficiency and the quality of patient care. This article examines the fundamental components, key benefits, diverse use cases, and essential tools that define the application of business intelligence within the medical industry. Read on to gain insights into modern business intelligence concepts, particularly the empowering shift towards self-service analytics accessible directly by medical professionals at the point of care.
The blog discusses:
- definition of business intelligence in healthcare
- ways of information collection
- components of a BI system
- implementation challenges with solutions
- BI healthcare use cases
- future trends
On-premises, Application Service Provider (ASP), Software as a Service (SaaS), and cloud-based services are the four main categories of Electronic Health Record (EHR) systems that are examined in this article. Their respective features, benefits, and potential drawbacks are highlighted to serve as a guide for healthcare organizations to select the EHR system that would be the best fit for their operational needs and objectives.
The blog discusses:
- definition of EHR system
- the difference between EHR and EMR
- types of health record systems
- a guide on how to implement the EHR software
- challenges of implementation
One data breach costs $3.7 million in lost revenues. Learn about the essential EHR features to patch all the vulnerabilities and keep patient data safe.
Rapid growth forces many businesses to start migrating their software solutions from on-premise to the cloud. Some companies even go forward by adopting the cloud-first strategy and build software right in the cloud. A solid cloud strategy helps achieve scalability, availability, cost efficiency and increase performance. Here, the healthcare industry is not an exception and […]
Get to know how your hospital can benefit from a web based medical billing system and what features it should include.