AI Systems Are Transforming Healthcare Delivery and Outcomes

AI Systems Are Transforming Healthcare Delivery and Outcomes

Artificial intelligence simplifies & increases the accuracy of processes such as medical chart reviews. It is transforming healthcare delivery and outcomes.

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Artificial intelligence (AI) and machine learning (ML) algorithms work with comprehensive and accurate data and the arrival of Big Data has considerably improved the opportunities to utilize these technologies. The potential for AI and ML in the healthcare field is immense. These algorithms can identify patterns in the data collected and help healthcare providers detect warning signs at an early stage itself. They can also assist providers in clinical decision-making. Artificial intelligence can be applied in medical report diagnosis, medical record retrieval, medical record storage, virtual consultation, tracking of infectious disease outbreaks, treatment of chronic and/or rare diseases, and many other areas of healthcare. In healthcare, AI signifies healthcare providers gaining access to huge data sets of life-saving information. From the point of view of the patient, AI allows physicians to personalize their care and ensure better outcomes.

Here’s a look at the applications of AI in healthcare.

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Diagnosis and disease screening: AI and machine learning can assist in diagnosing health conditions by evaluating the symptoms.

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Assistance with surgery: Studies have shown that robotic-guided surgery can ensure minimum post-operative complications.

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Customized or personalized care: Machine learning can be used to provide personalized care for patients based on their unique conditions and requirements.

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Clinical decision support: AI and ML are being used to develop clinical decision support platforms which will inform physicians regarding how their peers managed cases of a similar type. Algorithms can also provide guidance in choosing a better treatment option to treat specific conditions, for example, say an infection.

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Providing health coaching and ensuring adherence: These technologies can help physicians digitally monitor their patients, checking whether they have taken the prescribed medications. AI can also detect gaps in people’s healthcare-seeking behavior and predict who might opt out of a health program or treatment course.

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Performance of health workers: The data captured by health workers can be tracked and used to focus their efforts on areas where they are most needed.

Webmd.com has listed a few practical applications of AI in medicine.

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Robots in action: In 2017, Dell Technologies launched Milo, a 2-foot-tall, visually expressive robot that teaches autistic kids ages 5 to 17 how to detect signs of emotion. This technology is now being used in educational facilities in twentyseven U.S. states.

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Assistance for ALS (Amyotrophic Lateral Sclerosis) patients: Eye-tracking glasses that employ BCI (brain-computer interface) technology help patients who have lost the ability to speak or move to communicate again. Patients can “type” with their eyes onto a monitor that vocalizes their thoughts via computerized decoding. The technology also helps them use email, read books and stay connected to the world.

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Identifying a trial fibrillation: Cardiac arrhythmias such as atrial fibrillation increase the risk of heart attacks or strokes. AI software can more accurately identify arrhythmias from an EKG or electrocardiogram than a human expert.

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Radiology: In the near future, AI may help develop next-generation radiology tools that enable “virtual” biopsies of tumors.

The webmd.com article goes on to highlight the fact that Johns Hopkins Hospital reported a 30% reduction in patient wait time before admittance after they launched a digital command center in 2016 to improve patient experience, minimize risk, and streamline workflow. Moreover, a 2016 study from UCLA published in Nature Scientific Reports says that a deep-learning computer program, using a special microscope, identified cancer cells with 95.5% accuracy. Bodies like the WHO and ITU, researchers, as well as many start-ups are seriously considering and implementing AI technology.

There are some important considerations to note when adopting artificial intelligence in healthcare. Data is the most important element and AI and ML algorithms can work well only with accurate data. Any inaccuracies including human error in the data collected could prove detrimental. AI users must also give due importance to privacy and ethics standards when collecting, accessing and using patient data. Another important consideration is to get all users on board regarding the new technology and ensure that they understand its working.

Artificial intelligence simplifies and increases the accuracy of processes such as medical chart reviews, making precise information available to users. Top hospitals and other healthcare settings across the nation are adopting AI and data analytics to improve and streamline care. In resource-poor settings around the world also, this technology can be used to predict, model and slow the spread of infectious diseases and support health programs in several ways. Of course there are challenges involved in the implementation of such innovative technology but reliable AI systems have immense potential for improving healthcare delivery around the world.

www.mosmedicalrecordreview.com

918-221-7791