From electronic medical records and monitoring devices, to personalized medicine and real-time decision-making, data is critical at every turn within modern healthcare. However, the sheer volume and complexity of healthcare data is posing increasing challenges on medical centers and professionals.

In the realm of technology, fields such as Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Data Science have witnessed remarkable advancements that shape the future of our world. However, as these industries flourish, the lack of diversity within their ranks has become glaringly apparent. At Cigniti, we believe in ‘building bridges and embracing togetherness’ and are committed to Diversity, Equity, and Inclusion in technology.

The nursing profession is in crisis. According to McKinsey, over 30% of surveyed nurses said they may leave their current patient care jobs in the next year, and for inpatient nurses it’s higher at 45%. Meanwhile, the average professional tenure of nurses dropped from 3.6 years to 2.8 years between 2020 and 2023. These alarming trends have healthcare systems on red alert. Ninety-four percent of surveyed health system senior executives said the nursing shortage is critical.

Get a comprehensive overview of healthcare app development, the features required, and the steps you'll need to take from ideation to launch.

One of the largest health insurance providers in the United States uses Unravel to ensure that its business-critical data applications are optimized for performance, reliability, and cost in its development environment—before they go live in production. Data and data-driven statistical analysis have always been at the core of health insurance.

Electronic Health Records (EHR) Interoperability facilitates the seamless sharing of Electronic Health Information (EHI) among various systems and stakeholders, promoting patient empowerment. This feature transforms healthcare from a hospital-centric model to a patient-centric approach, emphasizing prevention, care management, and the efficient utilization of information and technology.

With GPT taking the world by storm, the age of Generative AI has truly begun. No aspect of human endeavor will be untouched by this revolution, from arts and media to engineering and finance. In the realm of healthcare & medicine, this cutting-edge technology holds immense potential to transform patient care, diagnostics, and treatment planning.

The COVID era has changed the healthcare industry upside down. From those never-ending waiting lines to get your medical documents to be just one click away, cloud computing has been a drastic shift for the healthcare department. From high infrastructural costs to affordable cloud storage management, cloud computing for healthcare has been bliss.

Advances in medical robotics and healthcare technology — enabled by the Internet of Medical Things (IoMT), Machine Learning (ML), and Artificial Intelligence (AI) — mean that we are already seeing less invasive procedures, more accurate diagnoses, and more personalized treatment options for patients. But all these innovations depend on software which brings increased safety and security risks.

Fast Healthcare Interoperability Resources (FHIR) is a groundbreaking standard in the healthcare industry, designed to facilitate seamless data exchange between various systems. With the increasing demand for interoperability and efficient communication, Hl7 v2 FHIR-compliant APIs (application programming interfaces) have become an essential tool for healthcare providers and organizations to transfer health information from provider to provider.