Healthcare providers in the United States are using artificial intelligence (AI) more and more to improve how they talk with patients and to reduce the workload on doctors and nurses. One common AI tool is chatbots and AI answering services. These tools help manage phone calls and patient messages. But, AI systems also have problems. This article talks about how important it is for doctors and nurses to check the chatbot replies before they are sent to patients. It focuses on how medical office managers, owners, and IT staff can use AI chatbots in a way that keeps patient care good.<\/p>\n
AI chatbots are used a lot in healthcare to handle simple patient questions, sort requests, send reminders for medicine, and watch symptoms from far away. For example, the University of Pennsylvania\u2019s Abramson Cancer Center made a texting system called Penny. This chatbot checks on patients who take oral chemotherapy. It asks if they are taking their medicine and how they feel physically and mentally. These systems help keep contact between visits when patients might not see their doctor for weeks.<\/p>\n
Northwell Health uses chatbots for different patient groups. These include women after giving birth and patients with long-term illnesses. The chatbot changes its questions depending on the patient\u2019s diagnosis. This helps watch health and guide patients to follow their care plans. UC San Diego Health uses chatbots inside patient portals like MyChart. The chatbot writes draft answers to simple patient questions. This lets doctors and nurses focus on harder tasks.<\/p>\n
Many patients like texting with chatbots more than phone calls. Texting lets them reply when it is convenient. A study showed 78.6% of patients preferred chatbot replies over doctor replies. This was because chatbot messages were more detailed and caring.<\/p>\n
AI chatbots work fast, but to be correct and sound human, doctors and nurses must check the replies. Many healthcare experts say it is important to balance automation with human input:<\/p>\n
Dr. Christopher Longhurst from UC San Diego Health says, \u201ca clinician absolutely has to remain in the loop and be engaged with the message\u201d to stop errors and make sure replies do not feel robotic or cold.<\/p>\n<\/li>\n
Dr. Lawrence Shulman from Abramson Cancer Center says patients on complex treatments like oral chemotherapy need quick and reliable answers, which happens only if clinicians review the responses.<\/p>\n<\/li>\n
Dr. Jeffrey Ferranti from Northwell Health points out that doctors can get tired from too much work, and AI helps lessen this. But, he warns that clinical judgment can\u2019t be replaced, so doctor oversight is still needed.<\/p>\n<\/li>\n<\/ul>\n
These experts agree chatbot drafts must be checked by healthcare providers before sending. This check makes sure advice is right and caring. It also helps patients trust the care they get.<\/p>\n
If chatbots work alone without doctors checking, some problems can happen:<\/p>\n
Wrong Medical Information:<\/strong> AI uses data and rules, but may not understand a patient\u2019s condition fully. Wrong advice can cause serious health problems.<\/p>\n<\/li>\n Cold Replies:<\/strong> If replies don\u2019t feel personal, patients can feel alone or not understood. This hurts the patient-doctor relationship.<\/p>\n<\/li>\n Legal and Privacy Issues:<\/strong> Doctors must follow laws like HIPAA to keep patient data safe. Without review, private health data could be shared wrongly.<\/p>\n<\/li>\n Less Patient Involvement:<\/strong> Patrick Boyle, an AI expert, says just having a chatbot does not mean patients will use it. Patients need clear info about how chatbots work and must agree to use them to stay involved.<\/p>\n<\/li>\n<\/ul>\n Doctor review helps lower these risks. It makes sure AI tools help communication instead of causing problems.<\/p>\n <\/p>\n