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Digital Transformation in Healthcare: Bane or a Boon?

What exactly comes to your mind when we say ‘Digital Advancements’? What’s the first thing you think of when you hear the word? Is it cloud technology? Digital transformation? Gen-AI? Blockchain? Or everything that caters to Digital Transformation as a whole? We know that the last sentence is the one you’ll prefer. But has it ever come across your mind why digital transformation solutions are taking all the limelight from different industries?

Types of Healthcare Software Systems on the rise in 2024

The emergence of digital transformation technologies led to a nationwide change, causing a profound impact on various industries throughout the world. Among the conventional sectors affected by it, the healthcare industry emerged prominently. Interestingly, it not only disrupted but also provided a significant impetus to the healthcare sector, thereby positively influencing the different types of healthcare software and the medical software industry.

16 Top Hospital KPIs for 2024 Reporting

A hospital key performance indicator (KPI) is a quantifiable measure that monitors the quality of healthcare provided by the hospital and measures the overall success of the business. Like many other service providers, hospitals depend on their customers (patients) to run their business. However, in order to thrive, they must also operate sustainably and mange costs. A successful hospital runs efficiently, provides life saving services and plays a valuable role in driving public health measures.

Countly's Framework for Ensuring HIPAA Compliance in Healthcare Analytics

In certain sectors, data is not just valuable—it's SACRED. This is especially true in healthcare, where the stakes are incredibly high and the need for precise measures is paramount. In the healthcare sector, data is not just any asset; it's a highly sensitive compilation of patient information that demands the highest levels of privacy, security, and accessibility.

A Simple Guide to Medical Insurance Claims

Insurance companies and third-party administrators are increasingly turning to automated data extraction to expedite the processing of medical insurance claims. This approach serves as a better alternative to time-intensive manual claim management. Leveraging AI technology allows them to efficiently extract crucial data from documents, eliminating manual data entry errors and significantly reducing processing times.

Government's Cybersecurity Regulatory Framework Expands to Healthcare and Other Industries

Cyberattacks are devastating, especially when they derail real-world critical services like healthcare. An especially troubling attack field is ransomware: In 2022, 66% of U.S. hospitals were targeted in ransomware attacks, an increase of almost 50% from 2021, and 289 hospitals were affected by successful ransomware attack incidents. Healthcare organizations paid the ransom in about 61% of ransomware incidents, the highest rate of any industry.

How to Automate Data Extraction from Patient Registration Forms in Healthcare

Automating data extraction from patient registration forms in healthcare is crucial to enhancing patient care efficiency, accuracy, and overall quality. Over 71% of surveyed clinicians in the USA agreed that the volume of patient data available to them is overwhelming. This abundance of data highlights the importance of streamlining the extraction process. Manual extraction is time-consuming and prone to errors, hindering patient safety.

Health Care Outside of the Box

How enterprise-grade data management creates better and more efficient care. In the last few years, the acceptance of telehealth has become more widespread as patients and providers found they could maintain continuity through phone and video collaboration, instead of in-person visits. In many cases, a level of care that once required a drive to the clinic or hospital could be delivered over a mobile phone or laptop, with no travel and no waiting room.

Top 3 Healthcare and Life Sciences Data + AI Predictions for 2024

This year may be the most innovative on record. Recent advances in AI are beginning to transform how we live and work. And the potential impacts of artificial intelligence (AI) on the healthcare and life sciences industries are expected to be far-reaching. It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment.

Quality Assurance in MedTech: Safeguarding Excellence and Innovation

With advancements occurring at a rapid rate, it becomes extremely crucial to ensure the overall safety & quality of healthcare solutions in this MedTech's dynamic landscape. Just as technology has taken the entire world by storm, it is playing an extensive role in the advancement of the healthcare industry, which further enhances the significance of Quality Assurance (QA) and software testing services.