As per a report by MarketsandMarkets, the global healthcare IoT market size is anticipated to increase from USD 127.7 billion in 2024 to USD 289.2 billion by 2028 at a CAGR of 17.8% over the forecasted period.

As of 2024, the Office for Civil Rights (OCR) has settled 142 cases of HIPAA violations, resulting in various covered entities facing over $142 million in penalties for non-compliance. These penalties, although significant, represent only a fraction of the consequences for violating HIPAA.

The incorporation of information technology since the mid-90s increased productivity among different sectors around the world. There’s no two ways about it. Healthcare on the other hand was one industry that took its own course to transition from a largely paper-based process to digitization.

Not too long ago, healthcare was all about personal connections between doctors and patients, using handwritten notes and talking directly. But as healthcare grew and more information about patients came in, it became clear that we needed a better and more organized way of doing things. Hospitals and clinics had to change how they worked, aiming for smoother processes, quicker decision-making, and better communication among healthcare workers.

The healthcare industry is on a constant lookout for digital solutions to conduct the financial, administrative, and clinical operations of a hospital. These days, these are largely carried out by means of a set of informatics tools, collectively known as Hospital Information Systems (HIS). In addition to a  patient's health information, inventory and personnel data are also stored, managed, and transmitted across a HIS.

Fast Healthcare Interoperability Resources (FHIR) is a healthcare data exchange standard created by Health Level Seven or HL7. Having developed advanced tools for safe and secure data exchange such as EMR, Diagnostic Data, or PHI – FHIR has given a boost to the healthcare sector.

Ever since the intense scrutiny faced by organizations that developed COVID vaccines, pharmacovigilance has become a hotly discussed area of interest. The practice of pharmacovigilance basically aims to reduce the entry of drugs with adverse side effects into regular circulation. Artificial Intelligence (AI) has been permeating this field in recent years due to the immense potential for automated pharmaceutical discovery that it offers.

To me, nothing seems more fascinating than the fact that machine, a manifestation of human knowledge, could be developed to such an extent that it is able to be on par with human. Be it self-driving vehicles, the infamous Chess match or Google's Alpha Go, technology is giving end-to-end competition to humans. With the rapid advancement of technology and automation, there is rarely a field left untouched by machines. One such field is the healthcare industry.

In today's interconnected world, it has become crucial for brands to maintain relevance and uniqueness across all communication channels while ensuring a consistent and seamless customer experience. However, despite having advanced analytics systems and marketing automation programs, a significant challenge remains—connecting the dots and unifying data from various disparate systems.  

In the current healthcare landscape, personalization of patient care has become a top research priority and finds a place in active discussions around the improvement of healthcare workflows. The Digital Twin concept is at the forefront of these discussions as it is paving the way for the creation of groundbreaking digital applications that facilitate enhanced precision medicine, clinical trials, and population health.