Top 5 Uses of Artificial Intelligence in Healthcare to Improve Patient Care and Hospital Efficiency | Examples of the use of artificial intelligence in healthcare

Artificial intelligence (AI) is revolutionizing the way healthcare is delivered today. An industry evidence-based, data-driven approach to medicine combined with artificial intelligence is set to change both the practice of medicine and how treatment is delivered.

AI is already being used to redefine how people manage their health and access care, automate care plans and help with tedious tasks. It can reduce medical errors, improve diagnostic efficiency and outcomes, help optimize revenue and streamline processes.

Today, powerful and revolutionary developments are taking place in healthcare. Combining insights and shared knowledge with data from individual health care experiences helps improve care delivery. These opportunities create a force multiplier effect that provides more data to develop understanding and share knowledge.

According to a report by the US National Library of Medicine, it is estimated
that AI applications could reduce annual US health care costs by $150 billion by 2026.

AI: A Major Disruption in Healthcare

One technology cannot be used to describe AI. Instead, it encompasses a wide range of research and technological advances that support functions such as voice recognition, natural language processing (NLP), image processing, and more.

These fields are profiting from advances in algorithms, vast computing power, and sophisticated analytical techniques such as machine learning (ML) and deep learning.

Although true artificial intelligence, defined as “the ability of a machine to imitate intelligent human behavior,” is still elusive, Gartner believes that artificial intelligence is on the verge of becoming one of the most significant transformative forces in the healthcare industry.

The era of artificial intelligence/smart machines will be the most disruptive in IT history, according to Gartner. Given the simultaneous developments in genomics, immunotherapy, nanomedicine, sensors, and many other significant advances within a similar time trajectory, disruption is expected to significantly impact the healthcare industry, especially its already overburdened professionals.

Through continuous monitoring and coaching, AI-based technology will play a significant role in helping people maintain their health by providing early diagnosis, personalized treatment and more effective monitoring.

Top 5 Uses of Artificial Intelligence in Healthcare

With AI spending in the healthcare and pharmaceutical industries expected to grow from $463 million in 2019 to over $2 billion by 2025, let’s take a look at the 5 most important applications of AI in healthcare .

1. Robotic operations under the control of artificial intelligence

The revolution in the surgical sector has been caused by artificial intelligence technology in the form of collaborative robots. Making small incisions, you can see a revolution in terms of cutting depth and speed.

In general, a surgeon’s knowledge can change the outcome of a surgery, especially one that involves a new or complex procedure. Even the most talented surgeons can work more efficiently when artificial intelligence is used to reduce discrepancies on a case-by-case basis.

Artificial intelligence robots reduce the chance of tremors or other unintended movements during surgery because they are precise. For example, robots controlled by artificial intelligence are able to perform fundamental tasks such as precision cutting and sewing, functioning with greater precision and miniaturization.

Artificial intelligence-assisted robotic surgery was used by surgeons at Maastricht University Medical Center in the Netherlands to close blood arteries as small as 0.03 to 0.08 mm wide. In addition, AI-powered computers can create new surgical techniques using information from previous procedures.

2. Precision medicine for chronic diseases

One of the most useful applications of artificial intelligence in healthcare is precision medicine. It is based on vast amounts of data generated by a number of breakthrough technical advances, including affordable genome sequencing, advanced biotechnologies, and patient-owned home medical devices.

Keep in mind that deep learning techniques for powerful supercomputers are the foundation of precision medicine. As a result, the cognitive abilities of doctors are used at a new level. Intel created a deep learning algorithm in partnership with the Scripps Research Institute, located in California, USA.

With 85% accuracy, he was able to locate 23 people who were at high risk for cardiovascular disease but had been missed by conventional statistical methods.

3. Automation of document flow of administrative operations

One of the options for using artificial intelligence in healthcare is the automation of administrative operations. This ensures that healthcare professionals prioritize important work, allowing doctors, assistants and nurses to spend less time on routine duties. The healthcare sector could save an estimated $18 billion as a result of the application of artificial intelligence.

More than 90% of doctors believe that tedious administrative work is the main reason for their burnout. The operating room does not define the hospital. Medical staff have to perform a number of tedious administrative tasks, such as billing and patient appointments.

Both clinical and non-clinical staff will benefit from the use of AI for administrative activities. With minimal user intervention, the AI-based system can manage all recurring administrative tasks. Medical staff will be able to focus on high-initiative work in health care settings that require a human aspect.

4. Chatbots with artificial intelligence support in primary care

With chatbots, artificial intelligence can improve primary care and triage. With the use of chatbots, interacting with patients is quite simple and provides quick responses in the conversation. By avoiding unnecessary trips to the doctor, they can save money. Chatbots can even help healthcare providers meet patient expectations while improving patient outcomes when used appropriately.

Chatbots encourage patients to proactively add information about their health using a comprehensive communication strategy that enables physicians to improve patient care, reduce costs, and increase patient satisfaction.

Thus, primary care can be automated and run seamlessly thanks to artificial intelligence, allowing clinicians to focus on critical and urgent patients. Also, AI solutions for healthcare take a more humane stance. To provide compassionate care to patients 24/7, hospitals can use digital humans as medical assistants.

5. 24/7 virtual nurse assistant

The market for virtual healthcare assistants is expected to grow from approximately $600 million in 2021 to more than $5 billion by 2028. We can in a certain way “credit” the epidemic of COVID-19 for the rise in popularity of intelligent assistants.

Health workers were overwhelmed as most conventional health centers were closed. They had to care for both patients with Coronarivus infection and patients who could only communicate with their doctors via phone or video chat.

Patients needed someone to talk to, whether it was to get a prescription for a medication they were taking or simply for advice on how to handle unusual circumstances. for this reason, virtual assistants have proven to be (literally) a lifesaver.

Virtual assistants can help with a number of different activities beyond maintaining patient data, including:

  • Scheduling medical treatment and doctor’s appointments, and offering patients the option to postpone or cancel them.
  • Answering any questions patients may have about their appointment, such as “How do I prepare for my visit?”
  • Questioning patients on the progress of their recovery and reminding them of any post-visit or discharge responsibilities.
  • Reducing wait times by asking about symptoms in advance and relaying that information to the doctor.
  • Allows those with chronic conditions to refill their medications without going to a clinic.

Doctors and nurses will have much more time to care for patients instead of performing administrative activities when virtual assistants manage all these tasks for the medical staff.

Virtual paramedics are a great tool to ensure patients know what to do after each appointment and relieve their anxiety about health symptoms as they are available 24/7 and will patiently answer questions or concerns as often as needed.

AI will change the game in healthcare

The global market for artificial intelligence in healthcare is projected to grow from $4.9 billion in 2020 to $45.2 billion in 2026. The use of artificial intelligence in healthcare is critical as it helps improve diagnostic accuracy, makes clinicians more accessible and organizes patient data.

With ten years of real-world experience, we at Cigniti know how to use AI in healthcare for the benefit of patients, doctors, researchers and support staff. Our team is proficient in various subsets of AI and leverages industry best practices to develop advanced AI healthcare solutions that improve healthcare delivery and medical research in a safe, ethical and patient-friendly manner.

Learn more about our digital solutions that can make interacting with your customers easier, faster and more secure.Contact ustoday!

  • Cigniti is a world-leading AI and IP-based digital assurance and digital engineering firm with offices in India, US, Canada, UK, UAE, Australia, South Africa, Czech Republic and Singapore. We help companies accelerate their digital transformation at various stages of digital adoption and help them achieve market leadership.

https://www.cigniti.com/blog/ai-use-cases-healthcare-patient-care-hospital-efficiency/ Top 5 Uses of Artificial Intelligence in Healthcare to Improve Patient Care and Hospital Efficiency | Examples of the use of artificial intelligence in healthcare

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