How to increase adoption of machine learning in the healthcare industry?

Healthcare

The 21st century is turning out to be an era of data-driven decisions. After the outbreak of the global pandemic, it is obvious that industries are generating and operating on data analysis and organizations which utilize these data points to their full potential along with the technological advancements would be able to stay relevant in the coming future.

Artificial intelligence and machine learning are bringing along very exciting opportunities to transform the industries. Artificial Intelligence and Machine learning algorithms are considering different factors and elements that affect the decision making and help in delivering a simple and comprehensive course of the action for the organizations. 

Artificial Intelligence and machine learning has a lot of potential to revolutionize and turn around situations for industries and healthcare and wellness is no exception in this situation. 

Industries are witnessing a shift to consumerism and pushing the organizations to consumer-focused solutions & offerings and like other industries, healthcare industry is also witnessing this transition especially post the outbreak of the global pandemic, pushing the healthcare professionals and institutions to focus on the value-based care and enhance the health outcomes for their patients. 

Healthcare industry is evolving rapidly and raising the average life expectancy across the globe but as individual’s longevity increases, the healthcare industry is seeing an increase in the demand for healthcare services which is further leading to increase in costs. The cost and demand for care is rising at an increasing rate, therefore, the need for digital healthcare technologies is felt like never before. 

It is becoming increasingly important to provide smooth and integrated care to the patients by making full utilization of the new connected ecosystem which is being introduced in the industry by custom healthcare software development companies. Today, healthcare providers, patients, payers and other stakeholders are adopting these technologies very quickly to simplify the healthcare procedures because these digital healthcare technologies are helping in providing quicker, more accurate diagnosis along with amplified R&D capabilities. 

Advertisement

Machine learning solutions in the healthcare industry use the increasing amount of data which is being generated by the industry specially after the introduction of IoT based solutions to improve the overall healthcare service experience. These technological advancements provide promising solutions for healthcare providers and seekers. 

It helps in increasing the overall productivity and efficiency of the care delivery system and allows the healthcare facilities to provide better care to its patients. Machine learning can help improve the experience of the healthcare professionals, providing them extended bandwidth to address patient’s requirements and reducing the burnout. 

Building on automation and machine learning solutions has the potential to change the situations in the healthcare industry and will help healthcare providers address some of the challenges they are facing in the changing situations. 

To increase the adoption of artificial intelligence and machine learning solutions across the healthcare industry, it is important for healthcare facilities to understand that these technological advancements will lead to better outcomes and enhance the efficiency of their care delivery. It is important to understand that these digital technologies will improve the day-to-day life of healthcare professionals. It will help in getting life-saving procedures faster to market with a better success rate. 

Despite the increasing awareness about the benefits of artificial intelligence and machine learning based solutions, there are still many healthcare institutions which are still reserved when it comes to experimenting with new healthcare innovations due to their privacy concerns or other reasons like organizations’ silos and resistance which needs to change. 

When it comes to adopting digital healthcare technologies like artificial intelligence and machine learning, it is not just the healthcare institutions which are involved in the process. One needs to consider other stakeholders as well, like patients, their families, payers etc. It is equally important to get your patients on-board with such a decision. To have a smooth transition, it is important for healthcare institutions to inform their patients about the benefits these digital healthcare technologies will bring along with itself for the patients. 

One needs to be transparent about the benefits of these solutions and how they work. Unless the patient is an expert, these solutions are a bit complex and would require a thorough understanding for better utilization. Patients need to understand how these technological advancements can improve the care delivery for them. Also, when the lives and treatment outcomes are at stake, it is important to ensure transparency for both healthcare providers and patients. 

While the healthcare facilities are trying to adopt artificial intelligence and machine learning based solutions, it is observed that the admin staff resists such changes as a huge chunk of the healthcare employees believes that AI & ML automation will eliminate jobs. Moreover, healthcare institutions believe that their healthcare workers lack the skills which are required to function smoothly post the implementation of these digital healthcare technologies. Here, it is important to understand that the implementation of such technologies would cause a shift in requirement of skills needed in the workforce but would not eliminate jobs, rather it would complement the working of the healthcare professionals and the admin staff around. It would create opportunities for their healthcare professionals and providers rather than eliminating them.

To increase the adoption of machine learning based solutions in the healthcare industry, it is important for healthcare facilities to foster a digital culture in their institutions and further augment their staff with healthcare innovations for smooth implementation of the technologies. One needs to consider their healthcare employees the foundation which would help them with easy implementation and further foster a digital culture across the organization. 

Artificial intelligence and machine learning solutions are presenting opportunities that can completely turn around the care standards of healthcare institutions, improve their operational efficiencies and help healthcare professional take better and informed decisions which is worth the effort and investment healthcare industry require at the beginning of the adoption process for these digital healthcare technologies while partnering with AI development companies. Before the adoption of these advanced technologies, it is essential to understand that a successful integration implies coordinating people, processes and technology for any healthcare organization. 

Author


Nora is a copywriter and content writer for Daffodil Software. She specializes in ghost blogging, email marketing campaigns and content for sales pages. She works closely with B2C and B2B businesses providing digital marketing content that gains social media attention and increases your search engine visibility. 

Share