Health Care Security: Already Bad and Getting Worse

How to optimize health IT systems for immunization drives

Article | April 15, 2021

Government bodies have organized vaccination drives from the days of paper, pen and file folders. Nations across the globe have successfully run vaccination programs on a large scale. In countries such as India, with the second-largest population, a vaccination campaign to eradicate polio was delivered at specified centers and going door-to-door. India was declared officially polio-free in March 2014. All without technology! Routine vaccination administration has always been either by a scheduled or walk-in appointment. Vaccinating populations for polio, smallpox or similar diseases has always been a part of a multi-year plan for governments.

Decoding the Future Trajectory of Healthcare with AI

Article | March 16, 2020

Artificial Intelligence (AI) is getting increasingly sophisticated day by day in its application, with enhanced efficiency and speed at a lower cost. Every single sector has been reaping benefits from AI in recent times. The Healthcare industry is no exception. Here is decoding the future trajectory of healthcare with AI. The impact of artificial intelligence in the healthcare industry through machine learning (ML) and natural language processing (NLP) is transforming care delivery. Additionally, patients are expected to gain relatively high access to their health-related information than before through various applications such as smart wearable devices and mobile electronic medical records (EMR). The personalized healthcare will authorize patients to take the wheel of their well-being, facilitate high-end healthcare, and promote better patient-provider communication to underprivileged areas. For instance, IBM Watson for Health is helping healthcare organizations to apply cognitive technology to provide a vast amount of power diagnosis and health-related information.

Preparing for the Future of Healthcare in Light of Automation

Article | February 24, 2020

Software automation accelerates processes and makes them more cost-effective, accurate, scalable, and measurable. But it also lets organizations coordinate and manage a collection of disparate systems according to business rules. These benefits offer enough value that automation is becoming an indispensable part of the enterprise toolkit. A 2019 Deloitte survey of 523 executives across industries found that 58% of organizations were already using Robotic Process Automation (RPA) and artificial intelligence (AI) combined. The top four objectives of this intelligent automation: increased productivity, cost savings, accuracy, and customer experience. How will this trend affect the healthcare job market? In the healthcare industry, examples include scheduling appointments, physician order entry, checking for allergies, ordering electronic prescriptions, validating a spreadsheet’s entries against data on a website, and manually transferring data from one system to another. Healthcare office workers tend to hate these tasks, which typically require very little decision-making, judgment, or creativity.

AI Moving into Healthcare, Regulatory Challenges Await

Article | March 13, 2020

In recent years, artificial intelligence (AI) has started to turn up everywhere you look. It powers our ever-present digital assistants; it helps recommend entertainment options and has even begun to reshape the way businesses carry out their everyday operations. As AI moves further into healthcare, regulatory challenges await. The truth is, there isn’t a single major industry that isn’t being changed by the rapid development of AI-powered technology. There is one, though, that stands out among all others: healthcare. The global healthcare industry arguably has more to gain from advances in AI than any other industry. It’s already being put to use in aiding diagnoses, monitoring patient health data to look for early warning signs of disease, and managing medication doses and prescriptions. It’s even proven adept at predicting patient mortality. At the same time, however, the adoption of AI into healthcare carries some unique risks not found elsewhere – owing to the fact that any missteps can cost lives.