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Could AI And Healthcare Chatbots Help Clinicians Communicate With Patients?

Posted on April 25, 2017 I Written By

Anne Zieger is veteran healthcare consultant and analyst with 20 years of industry experience. Zieger formerly served as editor-in-chief of FierceHealthcare.com and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. Contact her at @ziegerhealth on Twitter or visit her site at Zieger Healthcare.

AI-driven chatbots are becoming increasingly popular for a number of reasons, including improving technology and a need to automate some routine processes. (I’d also argue that these models are emerging because millennials and Gen Z-ers have spent their lives immersed in online-based social environments, and are far less likely to be afraid of or uncomfortable with such things.)

Given the maturation of the technology, I’m not surprised to see a number of AI-driven chatbots for healthcare emerging.  Some of these merely capture symptoms, such as the diabetes, CHF and mental health monitoring options by Sense.ly.

But other AI-based chatbots attempt to go much further. One emerging company, X2ai, is rolling out a psychology-oriented chatbot offering mental health counseling, Another, UK-based startup Babylon Health, offers a text-only mobile apps which provides medical evaluations and screenings. The app is being pilot-tested with the National Health Service, where early reports say that it’s diagnosing and triaging patients successfully.

One area I haven’t seen explored, though, is using a chatbot to help doctors handle routine communications with patients. Such an app could not only triage patients, as with the NHS example, but also respond to routine email messages.

Scheduling and administration

The reality is that while doctors and nurses are used to screening patients via telephone, they’re afraid of being swamped by tons of electronic patient messages. Many feel that if they agree to respond to patient email messages via a patient portal, they’ll spend too much time doing so. With most already time-starved, it’s not surprising that they’re worried about this.

But a combination of AI and healthcare chatbot technology could reduce their time required to engage patients. In fact, the right solution could address a few medical practice workflow issues at one time.

First, it could triage and route patient concerns to doctors and advanced practice nurses, something that’s done now by unqualified clerks or extremely busy nurses. For example, the patient would be able to tell the chatbot why they wanted to schedule a visit, with the chatbot teasing out some nuances in their situation. Then, the chatbot could kick the information over to the patient’s provider, who could, with a few clicks, forward a request to schedule either an urgent or standard consult.

Perhaps just as important, the AI technology could sit atop messages sent between provider and patient. If the patient message asked a routine question – such as when their test results would be ready – the system could bounce back a templated message stating, for instance, that test results typically take five business days to post on the patient portal. It could also send templated responses to requests for medical records, questions about doctor availability or types of insurance accepted and so on.

Diagnosis and triage

Meanwhile, if the AI concludes that the patient has a health concern to address, it could send back a link to the chatbot, which would ask pertinent questions and send the responses to the treating clinician. At that point, if things look questionable, the doctor might choose to intervene with their own email message or phone call.

Of course, providers will probably be worried about relying on a chatbot for patient triage, especially the legal consequences if the bot misses something important. But over time, if health chatbot pilots like the UK example offer good results, they may eventually be ready to give this approach a shot.

Also, patients may be uncertain about working with a chatbot at first. But if physicians stress that they’re not trying put them off, but rather, to save time so they can take their time when patients need them, I think they’ll be satisfied.

I admit that under ideal circumstances, clinicians would have more time to communicate with patients directly. But the truth is, they simply don’t, and pressuring them to take phone calls or respond to every online message from patients won’t work.

Besides, as providers work to prepare for value-based care, they’ll need not only physician extenders, but physician extender-extenders like chatbots to engage patients and keep track of their needs. So let’s give them a shot.

The Personalization of Healthcare and Healthcare Chatbots

Posted on April 20, 2017 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

At HIMSS 2017, I did a plethora of videos where I was interviewing people and even more where people were interviewing me. Many of those videos are just now starting to leak out onto the internet. One of those videos where I was interviewed was with the team from Availity. They had a great team there that interviewed a bunch of the HIMSS Social Media Ambassadors including me.

I’ll admit that I was pretty tired when I did this interview at the end of the day, right before the New Media Meetup at HIMSS. However, I think the interview shares some high-level views on what’s happening in healthcare IT and important topics coming out of the conference. Check out the full video to learn the details:

I like that I talked about the personalization of healthcare and then healthcare chatbots in the same video interview. Some people might see these as opposites. How can talking with a healthcare chatbot be more personal than a human?

The answer to that question has two parts. First, a chatbot can quickly analyze a lot more information to personalize the experience than a human can do. Notice that I said personalization and not personal. There’s a subtle but important difference in those two words. Second, I didn’t clarify this in the video, but the healthcare chatbot will not fully replace the care provider. Instead, it will just replace the care provider from having to do the mundane tasks that the providers hate doing. Done correctly, the healthcare chatbot will fee up the providers to be able to focus on providing patients a more personalized and personal experience. That’s something we would all welcome in healthcare.

All of this health data we are amassing on patients is going to make both the healthcare chatbot and the human healthcare provider better able to give you a personalized experience. That’s a great thing.

Since in the video I also recommended that people follow Rasu Shrestha, MD, you may also want to check out the video interview Rasu did with Availity:

I love the idea that we go to conferences to not just learn something, but to unlearn things. Rasu is great!