Chatbots can Ease Medical Providers' Burden, Offer Guidance to Those with COVID-19 Symptoms

COVID-19 has placed tremendous pressure on health care systems, not only for critical care but also from an anxious public looking for answers. Research from the Indiana University Kelley School of Business found that chatbots - software applications that conduct online chats via text or text-to-speech - working for reputable organizations can ease the burden on medical providers and offer trusted guidance to those with symptoms.

Researchers conducted an online experiment with 371 participants who viewed a COVID-19 screening session between a hotline agent - chatbot or human - and a user with mild or severe symptoms.

They studied whether chatbots were seen as being persuasive, providing satisfying information that likely would be followed. Their results showed a slight negative bias against chatbots' ability, perhaps due to recent press reports. When the perceived ability is the same, however, participants reported that they viewed chatbots more positively than human agents, which is good news for health care organizations struggling to meet user demand for screening services.

"The primary factor driving user response to screening hotlines - human or chatbot - is perceptions of the agent's ability," said Alan Dennis, the John T. Chambers Chair of Internet Systems at Kelley and corresponding author of the paper, "User reactions to COVID-19 screening chatbots from reputable providers." "When ability is the same, users view chatbots no differently or more positively than human agents."

Other authors on the paper, forthcoming in the Journal of the American Medical Informatics Association, are Antino Kim, assistant professor of operations and decision technologies at Kelley; and Sezgin Ayabakan, assistant professor of management information systems, and doctoral candidate Mohammad Rahimi, both at Temple University's Fox School of Business.

Even before the pandemic, chatbots were identified as a technology that could speed up how people interact with researchers and find medical information online.

"Chatbots are scalable, so they can meet an unexpected surge in demand when there is a shortage of qualified human agents," Dennis, Kim and their co-authors wrote, adding that chatbots "can provide round-the-clock service at a low operational cost.

"This positive response may be because users feel more comfortable disclosing information to a chatbot, especially socially undesirable information, because a chatbot makes no judgment," researchers wrote. "The CDC, the World Health Organization, UNICEF and other health organizations caution that the COVID-19 outbreak has provoked social stigma and discriminatory behaviors against people of certain ethnic backgrounds, as well as those perceived to have been in contact with the virus. This is truly an unfortunate situation, and perhaps chatbots can assist those who are hesitant to seek help because of the stigma."

The primary factor driving perceptions of ability was the user's trust in the provider of the screening hotline.

"Proactively informing users of the chatbot's ability is important," the authors wrote. "Users need to understand that chatbots use the same up-to-date knowledge base and follow the same set of screening protocols as human agents... Because trust in the provider strongly influences perceptions of ability, building on the organization's reputation may also prove useful."

Alan R Dennis, Antino Kim, Mohammad Rahimi, Sezgin Ayabakan.
User reactions to COVID-19 screening chatbots from reputable providers.
Journal of the American Medical Informatics Association, 2020. doi: 10.1093/jamia/ocaa167

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...