How Is AI Used in Healthcare? Best Practices+Examples

How to ensure that everyone can access medical services, afford medical treatment, and receive quality care has become a major issue in AI-inclusive healthcare. On July 19th, at the 2024 Baidu Health Industry Ecosystem Conference held in Beijing, He Mingke, President of Baidu's Health Business Group, delivered a keynote speech emphasizing that AI should be inclusive, and technology is one of the most definitive answers to achieving health for all.

The demands of medical service scenarios are complex and diverse, and the empowerment of Artificial Intelligence (AI) is bringing about improvements in quality, efficiency, and cost reduction in healthcare. Furthermore, AI can optimize medical service processes and drive organizational changes, enhancing the operational efficiency of medical institutions and transforming the mode of medical service delivery. Ultimately, this leads to the realization of high-quality, efficient, and intelligent inclusive healthcare.

With the continuous expansion of scenarios and the emergence of innovative forms of artificial intelligence, AI-powered medical devices will become even more diverse and sophisticated. For instance, the currently popular 24/7 AI self-service intelligent inquiry center allows hospital staff to autonomously access tutorials on using internal hospital tools or learn medical knowledge shared within the medical institution through the AI help center.

An Overview of Large-scale AI Models for Healthcare

In early July, the "2024 China AI Healthcare Industry Research Report" released by Jiazi Guangnian revealed that AI technology has penetrated into every aspect of medical services, ranging from intelligent diagnosis to personalized treatment and the intelligent management of medical resources. AI technology is gradually enhancing the quality and efficiency of medical services. In practical diagnosis and other clinical applications, most of them adopt specialized large-scale AI models for healthcare, assisting in diagnosis and treatment, and deeply exploring the medical field.

Extending Tools in the Healthcare Industry: Building AI Online Help Centers with SaaS Software Tools

In the healthcare industry, AI applications in areas such as medical science popularization, medical student education, physician competency advancement, scientific research, and health management remain promising avenues for further exploration. For small or charitable medical service organizations with limited budgets, the high cost of large-scale medical AI models often poses a challenge. When it comes to healthcare management, science popularization, and the extension of medical industry applications involving internal tools within medical institutions, these organizations typically refrain from opting for costly AI large models.

Currently, various SaaS tools are available that enable the cost-effective creation of AI online help centers, eliminating the need for localized deployment or the additional search for open-source knowledge bases. One such example is HelpLook, a SaaS tool that offers a one-stop solution for building AI knowledge bases, help centers, FAQs, blogs, and more. It eliminates the requirement for a dedicated medical large model and allows for the code-free creation of AI medical assistants.

Maximizing the Value of AI: Enhancing Medical Education Quality and Personalizing Healthcare Professional Advancement

Leveraging AI to improve medical teaching quality and alleviate the burdens associated with healthcare professional training is quietly transforming the standards of training in the healthcare industry.

AI Intelligent Search

Through the help center, users can not only retrieve key information based on keyword searches (with the ability to upload images/videos) but also access AI search capabilities. By simply posing a question directly, the AI intelligently summarizes an answer based on the materials already uploaded in the help center, allowing users to self-educate on how to schedule shifts or address various common issues. This significantly reduces the burden on customer service consultations.

24/7 AI Chatbot

Earlier this year, various regions across the country introduced "Medical Insurance Xiao Zhi," whose 24/7 intelligent response capability significantly alleviated the pressure on customer service consultations in medical institutions. Embedding an AI chatbot within a help center built using HelpLook can easily address this issue. Additionally, the help center can be integrated into websites, mini-programs, apps, and other platforms, displayed at a fixed location for easy access by visitors.

By incorporating a question-and-answer robot within the AI knowledge base built using HelpLook, the need for customer service human resources can be reduced, and service response speed can be improved. Users can utilize the AI chatbot to autonomously inquire about common hospital registration procedures, map directions, or the latest doctor schedules, receiving quick and convenient answers.

Customizable header navigation / Homepage

Furthermore, HelpLook also allows for the selection of appropriate site templates and customization of navigation bars through the backend, enabling the creation of a dedicated help center for medical staffing scheduling or medical insurance systems. Additionally, its secure permission control mechanism ensures that only authorized personnel can access the knowledge base content, thereby safeguarding the security and credibility of the system's knowledge.

Secure Access Restrictions

HelpLook also employs a secure permission control mechanism to ensure the confidentiality and reliability of knowledge content. Administrators can set the access level of articles as public, private, password-protected, authorized (with verification codes), or accessible only to enterprise members, ensuring that only authorized personnel can access, edit, and manage the knowledge base content, thereby safeguarding the security and credibility of the system's knowledge. 

Data Security Protection Measures

To enhance the security of sensitive data in the medical industry, HelpLook has implemented additional safety measures such as data isolation, restricting access and operations to authorized users, and refining disaster recovery and backup plans. Additionally, it strictly controls the permissions of API keys. These measures guarantee the safety of user data on the HelpLook platform and comply with relevant data protection regulations.

Whether applying vertical medical-specific large models or utilizing SaaS tools like HelpLook to establish an AI help center, the ultimate goal is to integrate AI into the entire medical landscape and process, achieving improvements in medical service quality, efficiency, reach, and transforming the production relationships among "healthcare providers, patients, and tools." This effort aims to advance and popularize smart healthcare.

If you are interested in HelpLook, feel free to click on the "Read More" button to try building your own dedicated help center for free. You can visit the HelpLook help center or contact our customer service team to learn more about the details of building a help center and the data security measures in place.