Artificial Intelligence is the recommended prescription for expert assistance and patient care

Translator | Cui Hao

Reviewer | Sun Shujuan

Opening

## Artificial intelligence (AI) has transformed various industries Innovation provides unlimited power, including in the healthcare field. Healthcare professionals benefit from the application of machine learning (ML), allowing them to process electronic health records (EHRs) and improve their capabilities in diagnosis and treatment. Not only is AI removing the impact of the human element in healthcare, automation and ML are also making nurses and doctors more productive and giving them deeper insights, allowing them more time to provide better, more personalized care to their patients. specialized medical services.

The benefits of artificial intelligence to health care are not limited to this. In terms of processing medical documents, artificial intelligence's automated processing can alleviate repetitive tasks and reduce human errors. At the same time, artificial intelligence is also used to improve surgeons' work efficiency and speed up medical procedures, allowing patients to experience personalized treatment and simplify the medical treatment process. Beyond this, AI-driven learning algorithms are improving diagnostic imaging and identifying infection patterns.

Although artificial intelligence brings many conveniences to health care, artificial intelligence solutions are limited by the cost of software development and the complexity of supporting programs. In addition, medical experts often complain about the lack of interpretability of AI technologies and the lack of sensitivity analysis for the final solution. But luckily, no-code AI solutions are putting AI control into the hands of doctors.

How artificial intelligence changes the field of health care

Artificial intelligence is improving the efficiency and quality of care in many aspects, especially in the convenience of management.

The average nurse in the United States spends an average of 25% of their time on supervisory and administrative tasks, many of which can be automated by artificial intelligence. The use of electronic health records (EHRs) and automated monitoring systems reduces administrative workload for caregivers, allowing them more time to care for patients. Automating repetitive tasks, such as filling out admission forms, taking notes, and scheduling follow-up visits, can also eliminate data entry errors and simplify administrative tasks. While AI makes administrative tasks more efficient, nurses still need to be responsible for patient care. If provided with self-service tools such as code-free AI processes, nurses can design their own workflows based on specific management procedures.

Artificial intelligence is also being used to streamline work in healthcare. Virtual nurses can ask patients about symptoms and provide information about health issues and medications, which can also be an effective way for patients to consult when they can't make an appointment to see a doctor. In addition, using machine learning technology and biosensing technology to obtain patient data can effectively achieve personalized treatment. Of course, artificial intelligence is also used in areas such as health monitoring and promoting patient health.

Artificial intelligence and machine learning can process massive amounts of machine data. The healthcare sector currently generates approximately 30% of the world’s data and is expected to grow at a compound annual growth rate (CAGR) of 36% by 2025. Artificial intelligence can apply deep learning methods to evaluate and normalize large unstructured data sets, thereby using these data for analysis and clinical applications.

Artificial intelligence also improves the accuracy of medical diagnosis. For example, using artificial intelligence technology, computers can be used to scan MRIs to improve the accuracy of detecting tumors. Smart devices are also being deployed in ICUs and clinical settings to monitor patients and identify the occurrence of issues such as the development of arrhythmias, treatment complications, or septic infections. At the same time, artificial intelligence also plays an important role in enhancing doctors' rescue capabilities. For this purpose, artificial intelligence provides automatic abnormality detection. It can provide real-time colon polyp detection during colonoscopy and through the use of advanced imaging technology and artificial intelligence engines. Detects tiny cancer cells in mammograms, which before this technology were often obscured by dense breast tissue, making them difficult to detect.

Drug discovery is another area where artificial intelligence is having a major impact. For example, pharmaceutical companies are using artificial intelligence to design new molecules to treat cancer and other diseases.

Challenges of using artificial intelligence in health care

While artificial intelligence continues to find new applications in health care, it still faces the following challenges:

• Data Governance – Privacy regulations such as HIPAA are designed to protect patient data, but they can also hinder the development of automated applications. For AI to continue to find new applications in therapy and EHR management, the impact of privacy laws needs to be considered.
• Optimize electronic records - Data are often scattered in multiple databases, and each type of data has its own data structure. Therefore, fragmented information needs to be centralized and standardized to support patient treatment.
• Lack of Data Scientists – There is an ongoing shortage of artificial intelligence experts. Data scientists are in high demand, with the U.S. Bureau of Labor Statistics estimating demand will grow 33% by 2030.

To address these challenges and make the most of AI technology, healthcare professionals are building their own AI solutions using no-code platforms. Putting medical experts in charge of application design makes it easier and faster to create AI-driven processes that meet administrative and patient needs and comply with regulatory requirements.

The Value of No-Code AI

There are many situations that require the application of no-code AI:

AI is ideal for repetitive tasks such as data entry, patient record maintenance, or Form filling. Artificial intelligence is increasingly used to capture and process data, including data classification, data extraction and data validation to match information with other data sources.

Artificial intelligence is effective for diagnosis because it can integrate and analyze information from multiple data sources. For example, AI can match symptoms with possible causes, allowing doctors to draw from diagnostic data beyond their expertise and reduce the likelihood of misdiagnosis. Artificial intelligence can help pinpoint the cause of disease by conducting simulations of “what-if” scenarios.

Machine learning makes it possible to improve results by learning algorithms. Interaction with training data provides additional insights and improves its results. Machine learning algorithms aid in diagnosis and treatment and create a patient profile. Artificial intelligence improves work efficiency and saves time for nurses and doctors, thereby reducing hospital operating costs.

As AI is increasingly used in healthcare, you can also expect to see more low-code/no-code tools emerging to help healthcare professionals design their own solutions. Putting experts in charge of building their own applications, this developer-independent model will be the best way to apply AI.

It’s clear that artificial intelligence is changing the way we do healthcare. Using AI and ML to automate routine tasks and add new diagnostic and treatment solutions will double the productivity of doctors and nurses, leaving more time to do what they do best—treat patients and improve their lives.

Translator Introduction

Cui Hao, 51CTO community editor and senior architect, has 18 years of software development and architecture experience and 10 years of distributed architecture experience. Formerly a technical expert at HP. He is willing to share and has written many popular technical articles with more than 600,000 reads. Author of "Principles and Practice of Distributed Architecture".

Original title: ​​Doctors Find Artificial Intelligence is the Best Prescription for Expert Assistance and Patient Care​​​, Author: Amir Atai​

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