The mere mention of Artificial Intelligence might conjure the image of complex data, apps, and connected devices in your mind. AI is increasingly getting sophisticated at what humans do, more quickly and at a relatively lower cost. When we talk about the stories of transformation AI has brought in everyday lives, the healthcare industry exhibits the most successful story of all time.

AI has certainly revolutionized health organizations by regulating medical science, raising life expectancy, healthcare systems, and organizational workforce efficiency.

The recent advancement and trends in the healthcare industry have improved the productivity and efficiency of care delivery and led to reductions in staff retention. At the same time, the question arises, how is AI making this happen?

What is the impact of AI on healthcare, health practitioners, the workforce, and organizations?

This article provides a unique vantage point from the frontline of healthcare delivery (health workforce), telling you how the healthcare transformation by AI has changed organizational processes. Let’s start by addressing the adoption of AI in healthcare.

Adoption of AI in healthcare

According to recent studies, the global market size for Artificial Intelligence in healthcare is estimated to project over 28 million USD by the year 2025. The healthcare experts say that AI is the cost-effective solution to save trillions of dollars of administrative and relocating costs, creating new drugs and research studies to eradicate diseases.

Most healthcare organizations have now adopted AI-driven RPA (Robotic process automation) systems, healthcare app development solutions, chatbots etc. The AI automated systems help manage standard workflow like scheduling patient appointments, claims management, hospital, medicine supply chain management, etc.

This shift from the “digital workforce” to the “AI workforce” has empowered true interoperability by connecting humans to datasets and ultimately leading to actionable insights. Hence this may not come as a surprise that the early adoption of AI in healthcare has led to a 39% increase in healthcare jobs and up to 70% cost saving in healthcare administration.

Now, let’s see how this adoption directly impacts the workforce and healthcare organizations.

AI transformation impact on workforce and health organizations

Below are the ways how AI impacts healthcare delivery, remodeled workflows, training, and communication in organizations.

AI-powered predictive care

AI and predictive analytics help organizations predict a patient’s potential symptoms and risk of developing a chronic disease. This has significantly declined conditions influenced by SDOH such as congestive heart failure, diabetes, COPD (chronic obstructive pulmonary disease), digestive disorders, etc. These chronic diseases account for over three-quarters of all fatalities worldwide.

Such an increase in chronic diseases can shake the healthcare organization’s budget by millions and can lead to the global shortage of healthcare personnel.

Thankfully, AI predictive care can rescue hospitals from similar circumstances by predicting and recommending preventative measures even before the disease starts progressing.

Better patient and staff experience

According to several psychological studies, patients have a direct influence on whether or not they recover. Before AI, patients strived with limited healthcare resources, and physicians suffered from hour long burnouts. This asked for a system that enhances work experience for the staff as well as the patient’s experience with the hospital.

Post AI implementation, healthcare network systems have reduced waiting time, optimized staff workflow, and alleviated the ever-increasing administration burden. Artificial Intelligence systems reinstate deep learning and provide the best possible healthcare solution through physical or digital communication by learning from each patient’s diagnosis and procedure performed. 

Moreover, connected care that connects location, people, systems, hardware, and services has positively established solid healthcare that helps patients avail health solutions anytime and anywhere in the world.

Decision making in health organizations

Improving care asks for the alignment of big health data with appropriate and timely decisions. AI-based predictive analytics have supported clinical health decision-making and actions along with prioritizing administrative tasks.

Health organizations can now run ahead of their services by using pattern recognition to identify patients at risk. The AI analytics also updates the staff of other health related factors such as lifestyle, genomic, environmental, etc., that could deteriorate a patient’s life.

Administrative drug and medicinal research

The journey from the research lab to a patient is a long and costly affair. According to Biomedical research studies, it takes an average of 10-12 years for a drug to reach a patient from the lab. Only five out of five thousand drugs that pass pre-clinical testing ever make it to human testing, and one out of these five is approved for human use.

Furthermore, for healthcare research organizations, it costs millions to merely approve tests and resources for drug development. By directing the recent advancements, AI has successfully streamlined the process of drug discovery and medicine repurposing by outcasting repeated tests. This has cut down the time and cost of the organizations saving them a fortune.

Smart devices: intelligent devices and machines

Smart devices offer everything from real-time monitoring of patients in the ICU to improving surgical complications. Inserting intelligent algorithms into smart healthcare systems has reduced cognitive burdens from physicians while ensuring that patients receive attentive care.

Not only this, AI, through its machine learning algorithms, can synthesize highly complex data sets to illuminate new options for targeting therapies for unique conditions.

Telehealth and IoMT

IoMT (Internet of Medical Things) is the amalgamation of medical devices and applications that connect healthcare technology systems to networking technologies. The AI-powered IoMT market consists of vital medical monitors, wearables (smartwatch/Fitbit), clinic-hospital settings, telemedicine in healthcare, and other services.

Telehealth is another field that supports automated image diagnosis, personal health companion, etc., where AI finds its place in worklist assignment, triaging, orchestration, and many more processes.

Artificial Intelligence has already placed its foot in automated immuno-histochemical measurement systems that are responsible for specific automated diagnosis.

Wrapping Up!

Artificial Intelligence technology is not just limited to benefiting health organizations and the workforce. As we foresee the future of AI in healthcare, it is mandatory for all medical professionals to get familiar with the impact the technology carries on everyday hospital ecosystems.

The essential AI healthcare solutions such as healthcare app development, chatbots, EHRs (Electronic Health Records), cloud migration, etc., can shape the future of digital healthcare for every organization.