AI in Healthcare Marketing and Patient Engagement: Personalising Care

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Healthcare used to be a lot heartless, which has made people lose trust in these organisations. This needs to change for the improvement of that industry. Patients want care that is both accessible and personalised. There are many application of generative AI in healthcare that helps with exactly that.

AI is helping healthcare workers to interact with patients in better ways. AI is helping build trust between healthcare providers and patients, which also improves health outcomes.

AI In Healthcare Marketing

Healthcare marketing has to be a lot more customised than it used to be. There were mass emails and announcements going out with hardly any customisation. But with AI, healthcare organisations can cater to the needs of every single patient.

1. More Personalised Messages

AI technology could browse patient history, internet search, and even wearables, so they would be aware of what people need. A patient who was searching for flu symptoms, for example, would receive messages to get flu shots. Or an individual with diabetes would receive advice on how to manage the disease.

2. Patient Need Prediction

AI is also able to recognise patterns in the data and predict what the next patient’s need will be. If there has been a history where it has been ascertained that an individual is likely to have a heart issue, AI can prompt the doctor to get a heart checkup before the time elapses.

3. Improved Content

With the help of AI, writing has become a lot less time-consuming. It can help with blog ideas that can interest people about the work healthcare providers are doing daily. Improving rank on search engines is very necessary nowadays, and AI can help in that too.

Generative AI’s Role in Patient Engagement

Patients want their healthcare organisation to be a lot more reachable. If they have issues or questions about whatever is happening with their health, they should be able to reach people, which is not the case right now. Moreover, making appointments is also a hassle due to wait times or office hours. AI can help solve these issues in certain ways

1. Overnight Chatbots

Humans can only do so much, but AI chatbots aren’t bound by these needs. These can answer questions of concerned patients or their families. They can also set reminders for visits or medications for the patients so that they are a lot more relaxed. Waiting on the phone for hours is very frustrating as well. Patients would not need to do that anymore, no matter what time it is. Neither do they have to take time off their workday to make an appointment or ask a question. The process becomes quicker and simpler for everyone.

2. Smarter Scheduling

The AI will be able to suggest visit times that will be compatible with a patient’s schedule and reduce no-shows by sending helpful reminders. It will also track when someone consistently misses visits and remind staff to follow up by phone.

3. Seeing the Whole Patient Journey

And there is also the capability of AI solutions to monitor the patient journey all the way from initial website visit through to follow-ups after treatment. When patients are falling off or being lost at a certain point, providers can identify this and optimise accordingly.

4. Patients’ Feelings

AI can also review patient surveys and comments. This helps them find the general areas that receive the most complaints during the care. Whatever patients have an issue with, AI can analyse it and help the organisation fix the issue. Manually recognising a pattern can take a lot longer, but with AI, the issue should be detected a lot quicker, helping the patients and the healthcare providers.

5. Safety and Privacy

In medicine, there is a lot of sensitive data. If AI is being incorporated in that space, privacy should be a main concern. Patient information is protected at all costs and there are strict rules around it. Being responsible with this type of information is very important. So, private data needs to be handled in a smart way.

AI will not replace humans. It will only try to make repetitive tasks a lot simpler. Allowing healthcare providers to focus on what matters most, which is the patients.