Every new technological innovation in any industry is dependent on the availability of infrastructure to support said innovation. For instance, Electronic Medical Records (EMR) could not have been a reality without the requisite facilitation of storage and performance-enhancing tools. Solutions implementing Software-as-a-Service (SaaS) is one such requirement for innovations in healthcare.

As the world around us changes rapidly, our aging populations, as well as public health crises ramp up the workload of providers, causing patient safety risks and negatively impacting patient satisfaction. There exists an untapped potential for modern technology to propel changes in the healthcare system to increase productivity, improve the efficiency of care delivery and enhance patient satisfaction. And, Artificial Intelligence (AI) is one such technology that has offered a real opportunity for medical organizations to deliver better quality care.

As healthcare progresses towards digitization, patients increasingly take control of their treatment decisions. To meet the needs of these empowered patients, the healthcare industry is turning to digital health solutions. Digital health refers to the use of technology to improve the delivery of healthcare, and one important subset of this field is digital therapeutics (DTx).

Healthcare providers and their recipients are globally welcoming the increased adoption of Artificial Intelligence (AI), Virtual Reality (VR), blockchain, and so on. The field of healthcare has always been at the forefront of technological innovation, with advancements constantly being made to improve patient outcomes and quality of care. 

The frequency of patients seeking access to telehealth services has risen dramatically since the pandemic in 2020. Consequently, there has been a consistent increase in the development of two-way telecommunications technologies to enable better Remote Patient Monitoring (RPM) and care delivery. 

Electronic Health Records (EHR) have completely transformed the way hospitals operate and enhanced the quality of care delivery. Scheduling appointments, allocating prescriptions, and viewing diagnostic data have all become simple processes because of EHR-based digitalization. However, there remain many bottlenecks that have stood in the way of seamless industry-wide adoption of EHR.

The integration of digital technology has become an integral part of every industry, whether it is for conducting business, medical implementations, or customer engagement. When it comes to medicine, EHR (Electronic Health Record) systems have become the backbone of healthcare organizations.  The implementation of EHR systems is now no longer seen as a luxury but a necessity for those looking to tap into the digital health space.

With the advent of Artificial Intelligence (AI), businesses have dramatically changed their operations and processes. As AI applications and tools have developed, businesses have been able to make more informed decisions and automate repetitive tasks, resulting in more efficient and effective operations. One of the most advanced AI algorithms that have gained prominence across various industries is Generative AI.

It is well known that Electronic Health Records (EHR) arose out of the need for a more portable and integrable alternative to paper-based clinical documentation. While it is a no-brainer for enterprise healthcare organizations to opt for EHR, a fast-increasing number of small practices are also catching up to this trend. 

The digital revolution has brought disruption in every field and mental healthcare is no exception. COVID-19 has provided us with an opportunity to improve the access to healthcare services.