How can AI help medical workers? “The real power of AI is to be able to improve workflows that save time,” says John Whyte, the chief medical officer of WebMD. “Physician burnout has increased dramatically over the last few years.” Whyte says that using AI to record and organize information can cut down time consuming and tedious tasks, freeing up clinicians to see more patients. Doctors at the #HIMSS24 conference earlier this week showed how generative AI technologies are already cutting down their administrative workload by recording and organizing notes — saving clinicians at some companies up to three hours a day. If you’re in the healthcare industry, how is AI improving your work? Weigh in below.
By leveraging AI technologies in healthcare from a marketing standpoint, marketers can streamline their processes, improve targeting and personalization for patient acquisition, and ultimately achieve better results with their marketing efforts.
AI significantly enhances the precision of patient care and facilitates more effective collaboration with fellow healthcare experts. Moreover, AI plays a pivotal role in swiftly examining vast volumes of data, enabling the identification of valuable patterns and trends that contribute to informed decision-making regarding patient treatment and outcomes. Undoubtedly, AI has successfully streamlined procedures and elevated the quality of healthcare provided across the industry.
I'm most excited about AI's potential in mental health, especially in screening and assessment. When we can start comparing individuals' symptoms, demographics, ethnicity, etc., against large data sets, it'll be a true game changer.
At AvoMD we built a clinician support solution that utilizes AI in the EHR to reduce burnout. Use cases include: AI chart review, care gap analysis, evidence-based documentation and order drafting, referrals and more!
I use it to improve my written content for patient education.
Love it! reducing burden here and moving forward.
Such a powerful tool. AI has already benefited most offices just by its incredible organizational skills. However, In my present entrepreneurial endeavor working within the healthcare industry, I have decided to concentrate more on patient care. I am of the strong belief that there will be no substitution for the human touch.
I am very optimistic about AI enhancing the efficiency and quality of care. I agree that use cases and workflow optimizations must be carefully selected. We currently use AI to suggest appropriate ICD-10 diagnoses in real-time during dictation and typing notes. AI can predict patients at risk for no-shows, enabling the practice to reach out to these patients proactively. We are also exploring the feasibility of generating summary notes for referring physicians, as well as the AI classification and filing of scanned documents
Scalable occupational medicine and employee health solutions. Medicolegal experience.
1yDoes the AI machine go next to the fax machine or is it two more rows of tabs in Epic? In seriousness we need to take a look at work flows and evaluated whether adding something to do poorly designed workflows, redesigning or eliminating the work flow altogether is the most optimal solution. Sure we can do bad work faster but could we also simply eliminate it? AI holds tremendous promise but in the rush to deploy it we need to make sure generative AI is actually accurate this will rely on transparency and more in depth understanding of training data. If AI machine learning is deployed in diagnostics, which it no doubt will, we need to be able to define sensitivity and specificity to understand false positives and false negatives. Nothing is perfect but we have to understand our tools and their limitations. Hopefully ambient scribing will at least be slightly less off-putting than dictating notes during a patient encounter which I witnessed as a medical student. I don't recall a single patient looking comfortable while the attending was doing that.