Artificial intelligence (AI) helps patients learn more about their condition and make decisions about diagnosis and treatment. That’s the message some healthcare startups are trying to share with people and healthcare workers about the potential of AI.
Hype drives trends and innovation, and is often associated with technological tools in the medical field, such as AI. But recently, especially with the rise of his ChatGPT, there has been an increase in efforts to make information available to patients in a more accessible way. With a focus on democratizing healthcare, the potential of AI to enhance patient care and resource management for healthcare workers creates hope. The question is, can AI really empower patients?
Determining the role of AI
A developer created an AI tool for matching patients to clinical trials within the healthcare industry. But as AI continues to advance, insiders question whether it is an ethical means of helping patients, and whether it can truly support medical diagnosis and treatment.
In a 2021 study, researchers found that people are reluctant to adopt AI in healthcare due to subjective beliefs that the algorithms involved and human medical decision-making are difficult to understand. clarified. People were hesitant to use medical AI, even though it proved to be a more cost-effective and scalable solution than human practitioners.
Regarding subjective knowledge, researchers believe that patients understand how human doctors make decisions, but not how AI makes similar decisions. suggests there is. “In practice, patient objective knowledge is equally low for human medical decision-making and AI decision-making,” says study author Romain Caddario, assistant professor of marketing at the Erasmus University Rotterdam School of Management. added Mr.
recreate human connections
Pharmaceutical companies are innovating in the area of AI, with companies in this space filing 607 AI-related filings in the past six months, according to GlobalData. GlobalData estimates that the overall AI market will be worth $383.3 billion in 2030, which he expects to grow at a CAGR of 21% from 2022 to 2030. means
GlobalData is the parent company of pharmaceutical technology.
In addition, start-ups are also developing AI tools to communicate their potential to enhance healthcare.
DataRobot, an AI platform, aims to provide intelligence and enable access to enhance patient empowerment. Sally Embry, Chief Technology Officer for Healthcare at DataRobot, said, citing the findings of the Stanford Medical School report, “Data and the ability to derive insights from that data at scale are critical to the democratization of healthcare. It is emphasized as an important requirement,” he said.
DataRobot explores patient-centered care and the need to focus on individuals before they become patients. “Individuals are empowered to access data so they can manage their health end-to-end,” says Embry.
But despite the growing potential of AI, people still value the doctor-patient relationship. “Previous studies have shown that patients know their doctors better,” says Caddario. As a result of the familiarity, patients feel that doctors are more able to consider their unique characteristics and take responsibility, he added.
Can AI really understand?
Pharmaceutical manufacturers use intelligent virtual assistants to support patient access to a range of therapies, medication information and education to support medication adherence, symptom assessment and triage, clinical trial programs, and financial assistance programs . Companies are positioning these as enabling a more efficient and convenient platform for engaging with patients.
Brian Anderson, vice president and general manager of Amelia, an enterprise conversational AI provider for healthcare, explains how AI can be expected to help patients better understand their diagnosis and treatment: I am commenting. Patient understanding enables access to information about diagnosis and treatment options. “
Some might argue that AI’s impact is in the democratization of healthcare, rather than aiming to help patients gain greater insight into diagnosis and treatment. “I don’t know if AI is about ‘understanding more’ than broader access,” Caddario said.
AI has potential, for example, when patients live in rural areas and find it difficult to find a dermatologist. AI can help make quick triage decisions to determine if a person needs to be consulted as soon as possible, Caddario said.
Improving access to healthcare
As ChatGPT becomes more of a term in the healthcare industry, the conversation shifts to how conversational AI can help patients access information and education about their health. “Conversational AI is playing a big role in supporting patients in many areas of healthcare,” says Anderson.
Call centers, websites, and portals are among the capabilities of AI assistants that enhance traditional channels. Today, patients expect more accessible communication in their preferred language and self-service capabilities that allow them to engage across channels, says Anderson. Examples of these include chat functionality, incoming and outgoing voice, text, and email to support disease and treatment management.
Accelerate adoption
“Overall, the healthcare industry is a relatively slow adopter of AI,” says Anderson. “However, the introduction and accessibility of large language models has accelerated various AI technologies such as conversational AI,” Anderson elaborates.
Healthcare automation company Notable released a Patient AI tool in April 2023 that uses large language models and the technology behind ChatGPT (GPT) to extend personalization in healthcare. The tool reviews email records and third-party data to capture millions of data points to facilitate social and clinical patient understanding. The tool automatically converts these into patient-specific recommendations.
“Large-scale language models represent a major advance in the field of AI,” the researchers say in a 2023 study about the role of large-scale language models in education, especially natural language processing (NLP). Developers use large amounts of text data to train models to generate text, answer questions, and complete language-related operations that mimic human output.
Despite advances in technology, ethical issues remain in the medical AI field. “Healthcare organizations looking to deploy AI will need to carefully address patient consent, regulatory and governance issues, and data security and privacy concerns,” says Anderson. The researchers of the 2021 study on AI concluded, “It is clear that we are at a tipping point when it comes to the convergence of medical practice and technology application.” Over the next decade, AI in healthcare will focus on how this technology can help improve clinical outcomes and develop data assets and tools. However, translational research in AI healthcare applications is essential to overcoming obstacles and pursuing opportunities.
