Fostering healthcare innovation through the adoption of artificial intelligence

Leading health service providers are applying artificial intelligence to improve the safety and quality of patients and staff, allowing them to achieve technology innovation goals for better use of resources, and with greater satisfaction.

Technological innovation has been booming over the past couple of years, driven by the rapid need for digital transformation and the shift to remote working. While health care in the past has typically lagged behind other industries in technology adoption, it is imperative that hospitals and health systems move to the forefront of innovation, so they can act quickly to meet current challenges.

One of the key steps these groups can take to advance the modernization and improvement of their practices is the successful implementation, implementation and operation of AI platforms across their networks.

Many healthcare leaders are hesitant to use new technologies due to safety and accuracy concerns. Others believe they cannot afford such an investment without a guaranteed reward; However, hospitals have more to lose if they do not adopt advanced technology tools. Leading health service providers such as Novant Health are applying AI to improve the safety and quality of patients and staff, allowing them to achieve their technology innovation goals for better use of resources, and with greater satisfaction.

Benefits of using artificial intelligence in healthcare

Reduces administrative burden

Today’s health systems face the daunting task of combating the high levels of burnout experienced by doctors and nurses. according to Medical Economics Exploratory study73% of physicians report feeling overwhelmed currently, and 93% have felt overwhelmed at some point during their career. Retaining employees is very difficult, and losing employees means a greater workload for those who remain. Leaders are well aware of adding to the physician’s workload and are constantly looking for ways to reduce this burden.

On a daily basis, nurses and doctors have virtually become data entry clerks and logistics staff. Often, much of a nurse’s workday is spent on organizational documentation or tracking down needed equipment and medications. They only spend a fraction of their shift tending to patients.

Doctors and nurses are motivated to provide helpful care and to communicate with patients. Artificial intelligence and automation provide a way to simplify manual processes and time-consuming data entry tasks, allowing doctors to give patients their undivided attention and provide the best possible care.

Provides higher patient satisfaction

Consumers have become accustomed to the immediate conveniences provided by technological advances in other industries, such as airlines, retail, and banking. Healthcare is poised for a similar shift in patient experiences with AI-based tools.

These tools provide great logistics with better access, shorter wait times as well as more seamless, personalized experiences for patients. For example, an infusion center might offer a “no-wait” intravenous experience, which allows patients to schedule appointment times from their phones. When they arrive at the center, patients go straight to the injection chair and bypass the waiting room altogether, improving the experience and avoiding risks for susceptible patients. This independence and convenience makes patients more likely to keep their appointments, reducing no-shows that complicate infusion scheduling. After implementing an AI-based capacity management solution, Novant Health has seen significant improvements in patient experience, including a 43% reduction average patient waiting times.

Improves physician satisfaction

As hospitals advance their technology stack across AI and machine learning platforms, they also improve the ability of clinicians to work with them. For example, surgeons may book time across multiple hospitals, and AI systems can help coordinate those schedules. When certifying AI tools from Novant Health, the organization witnessed a 9% increase In the “Maverick Surgeon” volume, a clear increase in physician loyalty due to technologically advanced scheduling.

Some predictive analytics tools alert surgeons and schedulers of unused block time, prompting them to release it instead of leaving the operating room empty. Surgeons can optimize their schedule and make the operating room available to whoever needs it for a last-minute operation, benefiting all parties involved.

Reduce medical errors

Time is of the essence when caring for patients. Health systems that use outdated systems risk wasted time as staff face large amounts of administrative work and fewer resources required. Additionally, the pandemic has exacerbated employee burnout and made strong performance difficult. Streamlining administrative tasks and improving patient scheduling allows employees to take scheduled breaks for much-needed rest, finish shifts on time, and direct their efforts to patients. This improves the staff and patient experience and reduces the potential for medical errors, ultimately leading to better outcomes.

Best practices for applying artificial intelligence

Building consensus among leadership

Health system executives must take several important steps when integrating AI into their organizations. First, they must develop consensus among the leadership staff. Leaders should advocate for AI in their organizations by showing how it can improve safety and quality of care by proactively addressing areas of concern. The CEO and Board of Directors are likely to support solutions that deliver the safest and highest quality care to patients and staff alike, as well as solutions that reduce related costs and generate higher revenues from increased access to care.

It is also important to keep the CFO informed of all AI initiatives and their results, keeping in mind that he will eventually write the check. Instead of focusing solely on the return on investment, show financial leaders the return Cooperat To clearly state that the benefits of AI include not only improved metrics, but also the overall attractive technological advancement of the enterprise.

Choose the right partner

Health systems often operate with the mindset that, given their limited resources, they cannot take the risk of investing in advanced technology. Usually, the alternative is to build a proprietary solution, rather than finding an outside supplier. However, running the required analytics requires deep expertise in operations, data science, building scalable software, and enabling process changes on the front line. This requires a significant investment on its own and is very difficult to put together for most provider organizations.

Instead, hospitals and health systems should look for capable partners who bring this expertise Institute of Innovation and Artificial Intelligence It uses AI to enhance personalized patient care and is built on their collaboration with leading AI experts, helping them use cutting-edge technology to connect with patients, team members, and the communities they serve.

Implement using a phased approach

Another key to success in implementing AI is to take an incremental approach with each new AI effort. For example, instead of trying to implement immediately at the system level—which involves many complex risks and may lead to failure without extensive planning—leaders could start by launching a new AI program in a hospital or smaller facility to run a parallel operation with legacy systems for at least about two months.

In this way health systems can collect feedback from hospital staff, identify positive points and area for improvement, and re-evaluate before implementation elsewhere. In addition, the best way to measure success is through patient feedback, so it is essential to have a process in place to capture patients’ thoughts about their experience with scheduling and time in the clinic. At this point, any problems that appear can be addressed on a manageable scale. If all goes as planned and improvements are quickly noticed, implementation can continue on a larger scale.

Roll out AI platforms at the enterprise level

Ultimately, the goal will be to implement successful AI platforms throughout the health system organization to achieve many positive outcomes across, for all staff and patients. When considering new AI software, applicable platforms must have the ability to support an entire system, rather than a single point solution, market, or service. After taking into account any employee feedback and leadership priorities, leaders will be able to use the new and innovative platform across the organization, thus benefiting all stakeholders and putting manual and error-prone processes in the past. The platforms will also allow health systems to grow as AI companies add more algorithms.

Dr. Eric Eskioğlu is Executive Vice President and Medical and Scientific Director At Novant Health.

Mohan Giridhardas is the founder and CEO of LeanTaaS.

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