How to Effectively Wield Emerging Tech in Healthcare
Emerging technologies such as ChatGPT, metaverse, and natural language processing-based tools have become increasingly prevalent in the healthcare market. While these technologies offer great potential, they can also present challenges for health facilities. In a panel session titled “The Double-Edged Sword of Emerging Technology,” industry experts shared their experiences and insights on effectively implementing these technologies.
One example is Aster DM Healthcare, which recently entered the metaverse through its Medcare Women & Children Hospital. Johns Hopkins Aramco Healthcare has leveraged AI to improve the speed of diagnosis for diabetic retinopathy and reduce the risk of sepsis by 5% using cognitive AI and computing models. Karkinos Healthcare has been using natural language processing (NLP) to automate the translation and transcription of clinical notes.
Before adopting these new technologies, it is crucial to consider their use case and ensure they align with the needs and preferences of clinicians. Forcing technology on healthcare professionals who are not receptive to it can hinder adoption and effectiveness. Scalability is another important factor to consider, as technologies must be able to accommodate the growing population and demands of healthcare.
When it comes to AI, organizations like Johns Hopkins Aramco Healthcare must decide whether to borrow or purchase existing solutions or develop their own in-house. The availability of large amounts of data required for AI algorithms often makes purchasing proven solutions more practical. Additionally, the cost of implementing new technologies should be thoroughly discussed with business stakeholders to avoid incomplete projects and wasted resources.
Generative AI has been a hot topic in recent months, and health leaders agree on the need for regulation. The lack of international governance and the FDA’s clearance of AI usage without guaranteeing accuracy raise concerns about accountability when AI fails. While AI has the potential to enhance medical practice, it should be used to complement and support healthcare professionals rather than replace them.
In conclusion, effectively wielding emerging technologies in healthcare requires careful consideration of use cases, scalability, adoption strategies, and cost. Regulation and responsible use of AI are essential for ensuring patient safety and maintaining the integrity of medical practice. By striking a balance between innovation and practicality, healthcare organizations can harness the power of emerging tech to improve patient outcomes and make healthcare more affordable and efficient.
