Author Archives: Upendra Jith

About Upendra Jith

Upendrajith completed his Master's in English and has been a commercial content developer for the past three years. He's more inclined to develop content with a 'street-smart' delivery on topics such as technology, media, or anything he can get his hands on. He has a fixation on lyrics, dark poetry, media, technology, and flow arts.

A Guide to Healthcare Revenue Cycle Management Software

23 February 2026 Healthcare

At its core, Revenue Cycle Management (RCM) software is the financial command center for a healthcare practice. It's the system that tracks and manages every dollar from the moment a patient schedules an appointment to the day their final balance …

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HIPAA Compliant Software Development: A Practical Guide

18 February 2026 Healthcare

Building HIPAA-compliant software isn’t just about adding a layer of encryption at the end. It’s a fundamental commitment to embedding security and privacy into every single stage of the development lifecycle, from the first brainstorming session to the final deployment …

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Healthcare Automation Services for Better Care & Operations

16 February 2026 Healthcare

Imagine a world where your doctor isn’t bogged down by paperwork, where administrative errors are a thing of the past, and where the focus is squarely on patient well-being. This isn’t science fiction. It’s what healthcare automation services are making …

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AI in Healthcare Diagnostics for Transforming Patient Care

14 February 2026 Healthcare

Picture a future, happening right now, where diseases are caught earlier and diagnosed with more accuracy than ever before. This is the new reality being built by AI in healthcare diagnostics. These intelligent systems aren’t replacing clinicians; they’re acting as …

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An Essential Guide to Healthcare Data Engineering

12 February 2026 Healthcare

At its core, healthcare data engineering is all about building the digital plumbing that collects, stores, and reliably moves massive amounts of health information. It takes all the fragmented data from countless sources, think electronic medical records (EMRs), lab results, …

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