In today's fast-paced healthcare landscape, AI is revolutionizing how tasks are completed to enhance efficiency. Nowadays, tasks that once took days or weeks to complete are processed in minutes, or even seconds. Research by McKinsey revealed that AI has the potential to unlock a staggering 4.4 trillion USD in added productivity growth. By automating complex tasks and streamlining workflows, AI is not only enhancing efficiency for daily healthcare operations, but also the key driver for drug development and more.
From 10 years to 48 Hours - How AI accelerates confirmation for superbug hypotheses
Antimicrobial resistance (AMR) is a growing global health threat, as microorganisms like bacteria, fungi, and viruses become resistant to previously effective drugs. This resistance leads to the emergence of "superbugs"— bacteria immune to multiple antibiotics. According to the National Institutes of Health (NIH), an estimated 1.27 million deaths in 2019 were directly attributable to antimicrobial-resistant infections, while nearly 5 million deaths were linked to drug-resistant infections.
While there is ongoing research to find a cure, the process is hindered by the complexity of bacterial genetics and the complicated mechanisms behind resistance. As bacteria evolve rapidly, identifying the specific genetic mutations responsible for resistance requires researchers to analyze vast amounts of genetic data - a process that is slow and labor-intensive. Additionally, traditional methods of AMR research are limited by the scope of data they can handle manually. Even once potential mechanisms of resistance are identified, validating these findings can take years.
Thus, AI has the potential to significantly accelerate the pace of AMR research by generating hypotheses and identifying genetic mutations linked to resistance more efficiently. AI algorithms can quickly process large datasets, detect patterns, and predict the emergence of resistance mechanisms to reduce the time required to analyze large datasets. By applying machine learning models to these datasets, AI can uncover hidden connections between bacterial strains, resistance pathways, and environmental factors that contribute to the spread of resistance.
To better understand how bacteria acquire resistance, a team of researchers at Imperial College London spent over a decade studying the genetic mechanisms involved. Their research demonstrated how bacteria exchange genetic material, facilitating the rapid spread of resistance. Despite these findings, fully controlling antimicrobial resistance (AMR) remained a challenge, prompting the team to seek deeper insights through AI.
In collaboration with Google, the researchers tested an "AI co-scientist" system using Google’s Gemini AI models. This system was designed to assist in generating hypotheses and offering new perspectives on complex problems. When prompted with a few written sentences about bacterial resistance mechanisms, this AI co-scientist quickly generated several potential theories, one of which closely aligned with the team’s decade-long research. Within just 48 hours, the AI model not only confirmed an unpublished hypothesis, but also proposed additional hypotheses for future testing.
While the AI could not conduct experiments directly, its rapid generation of data-backed hypotheses allowed researchers to focus on experimental validation, which significantly accelerated their progress. In essence, AI serves as a powerful tool for human scientists, enhancing the speed and effectiveness of their research. Rather than replacing scientists, AI enables them to explore new opportunities in medical research and offers a promising solution to the AMR crisis.
From Hours to Seconds: Resolving talent shortage and manual tasks with AI-powered text transcription
The global healthcare sector has long faced significant talent shortages, with the World Health Organization predicting a global shortage of 11 million healthcare workers by 2030. Operational inefficiencies further aggravate this shortage, as healthcare professionals spend significant time on administrative tasks such as transcribing medical recordings. Indeed, transcription often takes hours to convert a short audio clip into accurate written documentation due to complex medical terminology and the need for precision.
Understanding these challenges, FPT has introduced AISribe, an innovative solution designed to automate documentation processes. By integrating OpenAI’s LLM with advanced Speech-to-Text models, AISribe automatically transcribes patient-doctor interactions, summarizes the content, and uploads it to systems. This ensures that medical information is accurately converted into structured electronic health records (EHRs) that comply with the HL7 FHIR format. As the data is seamlessly uploaded into hospital systems, healthcare professionals can reduce the burden of manual data entry and administrative work. Hosted on Microsoft Azure’s secure infrastructure, AISribe guarantees real-time monitoring to ensure both security and efficiency.
Specifically, one healthcare leader faced significant challenges related to documentation inefficiency and clinician burnout. After implementing AISribe, the organization achieved a remarkable 50% reduction in healthcare documentation time to around 7 minutes per patient encounter. This automation tool also enhanced healthcare worker productivity, which reduced burnout and fatigue by 70%. Additionally, documentation accuracy improved, with 75% of physicians reporting higher quality in their clinical records.
Find out more on AIScribe in our latest success story: Empowering Patient-Centric Care: Cost Down, Productivity Up and Burden Lifted with AI Solution
Faster data analysis within seconds to improve healthcare quality
One of the challenges in the healthcare industry is underutilized data. Even though healthcare institutions generate massive amounts of information, up to 70% of this data remains untapped. This is largely due to the vast volume of patient records, clinical studies, and research that healthcare organizations must process and analyze. Consequently, valuable insights are often left unexplored, hindering improvements in patient care and operational effectiveness. To address this issue, advanced data analytics is essential. By leveraging these tools, healthcare organizations can unlock hidden insights and streamline decision-making processes. Ultimately, utilizing data more effectively will enable healthcare providers to improve patient outcomes, optimize resource allocation, and improve patient care.
In response to the current challenge, FPT has developed Power Insights, a powerful AI-driven platform designed to simplify data analysis and visualization. Built on Microsoft’s Azure OpenAI technology, Power Insights combines Generative AI, Large Language Models, and FPT’s expertise in data processing, which allows users to extract actionable insights through simple conversational interactions without the need for advanced analytical tools or SQL knowledge.
Power Insights delivers analysis results in under 30 seconds, enabling quicker decision-making and reducing costs by eliminating the need for specialized recruitment and training in data analytics. The platform supports various data presentation formats, including text, tables, and charts, to make it easy to understand and share across teams. With support for over 120 languages, the platform effectively breaks down global language barriers. Additionally, its rapid analysis, user-friendly interface, and broad accessibility empower employees at all organizational levels to enhance their performance.
FPT - Unlock AI advancements in healthcare within seconds
Healthcare is rapidly evolving, and the integration of AI is becoming pivotal in driving innovation and enhancing the productivity of healthcare professionals. As AI adoption expands, data becomes increasingly central to powering these advancements. Thus, ensuring that data is handled responsibly and in compliance with stringent privacy regulations is a responsibility for every healthcare organization.
With more than a decade of experience in healthcare, FPT provides solutions that empower healthcare providers to enhance their services, optimize processes, and improve patient care. FPT brings deep expertise in healthcare and actively complies with international data security standards, including HITRUST, HIPAA, and GDPR. Moreover, with a team of over 1,000 highly skilled AI engineers, a wide partnership network with leading AI giants such as NVIDIA, Landing AI, AITOMATIC, and more, FPT also ensures that its AI solutions prioritize transparency, fairness, and privacy, while empowering healthcare organizations to embrace AI innovations with confidence.
Discover our healthcare solutions here: https://fptsoftware.com/industries/healthcare
