Software Engineering Insights

Hospital-based healthcare services are not always viable when it comes to people with special health conditions or geriatric care. Issues with traveling come in the way of healthcare for this class of citizens. Additionally, lengthy hospital stays are reported to cause deterioration in certain medical conditions, especially autoimmune ailments. 

The lack of information prioritization in the current healthcare climate has put strict limits on the care that clinicians can provide. To resolve this, innovators of Electronic Health Record (EHR) systems must introduce ways to plan for a patient's health management. This blog discusses how EHR's capabilities can be optimized and extended to make this move.

The Agile development teams are frequently releasing application updates. To avoid delays or failures, they focus on every aspect of the delivery cycle. The DevOps team has started involving the database code in CI/CD pipeline, which was earlier limited to application code only. By doing this, it is ensured that changes in the DB (new features, updates, or bug fixes) reach users as fast as possible.

Biotech and pharmaceutical companies are required to comply with regulations enforced by the US Food and Drug Administration (FDA). Among these regulations is the Current Good Manufacturing Practice (CGMP) which governs the quality control of not just manufacturing practices and facilities but also the technology components of the drug production process.

Telemedicine can simply be defined as online healthcare and diagnosis through apps and videoconferencing. It is lately becoming a widely accepted alternative to physical patient-doctor consultation. Global attention towards providing sustainable telemedicine services has exploded. This has especially been witnessed throughout the accessibility struggles faced during the COVID-19 crisis. 

It’s been more than a decade that DevOps as a practice has been bridging the gap between the development and operations teams. It’s breaking down the silos between the two and automating the delivery cycle. Just like we implement DevOps to the delivery pipeline (to deal with the varying development environment), it is time that we start doing the same for databases.

Finance industry processes are becoming more foolproof and efficient due to automation. There is plenty of evidence to showcase the growing impact of Machine Learning (ML) and its wide acceptance across various use cases in capital markets.

The radiology wing of hospital systems and diagnostic centers generates an abundance of sensitive data. However, they often lack the analytics infrastructure to access and parse the data efficiently. To make the most of this available big data, radiologists are leveraging AI-based imaging analytics.

Technology is spreading its wings to provide a profusion of opportunities. We have millions of smart, interconnected devices and complex systems that are enabling us to do much more than human potentiality. But the hard fact is, these systems are not foolproof and highly vulnerable to cyber-attacks. 

The COVID-19 pandemic has put tremendous pressure on the healthcare system, globally. Hospitals have experienced a surge in the volume of patients. The hospital staff has been asked to perform roles they were unfamiliar with. Many hospitals even stopped elective procedures and consultations to ensure that COVID-affected patients are attended well.