In heavily regulated industries such as healthcare, digital innovation is often slowly adopted. However, healthcare is embracing AI as fast as almost any industry and is already seeing benefits. From streamlining operations, acting as an augmented intelligence tool for doctors to help with diagnoses, to enhancing patient outcomes, AI is rapidly becoming an integral part of modern healthcare. AI is not only improving diagnostic accuracy but also optimizing treatment plans, reducing operational costs, and helping better interact with patients.
AI Augmented Diagnostics
The practice and techniques of diagnosis is something that physicians take years to learn. Traditional methods for diagnosing conditions and illnesses rely on the subjective interpretation of medical images, data, and patients symptoms. As a result, interpretations are subjective and can vary between practitioners. However, now with the help of AI, practitioners can use AI as an augmented intelligence tool to help provide more objectivity to the process. AI systems can analyze medical images with remarkable speed and accuracy and help doctors make better informed diagnoses.
Computers are really good at looking at large amounts of data quickly and spotting patterns and outliers in data. This proves very useful when looking at medical images. AI is helping doctors to better diagnose a variety of different diseases and conditions by looking at x-rays, scans, and medical images. For example, AI can help diagnose over fifty eye diseases by analyzing retinal scans with a high degree of accuracy. In fact, these models are getting so good they are shown to be as accurate as world-leading experts in identifying complex eye conditions, such as diabetic retinopathy and age-related macular degeneration.
By quickly processing vast amounts of data such as patient data, clinical trial data, and the latest published medical research and literature, AI systems are able to quickly digest and synthesize this data and then help doctors provide hyperpersonalized evidence-based treatment recommendations that align with current medical standards and practices. This is a great example of where AI is being used as an augmented intelligence tool to not replace humans, but help them do their jobs faster and with additional data points.
Data-driven healthcare
Predictive analytics is another pattern of AI that is having a significant impact on healthcare. By analyzing past and current patient data, AI systems can predict with a high degree of accuracy the likelihood of diseases and complications in individuals. This allows both doctors and patients to take preventative measures before a condition becomes critical.
For patients in a hospital setting, there is a real risk of life-threatening conditions such as drug-resistant infections or sepsis. For conditions that can quickly turn critical and life-threatening, early detection is crucial. Now, with the help of AI early fast detection is possible. With the help of AI, models are able to analyze patient data and quickly identify subtle changes in a patient’s condition that might indicate the early stages of sepsis.
Enhancing Operational Efficiency
Beyond patient care, AI is also transforming the operational side of healthcare. Hospitals and clinics are complex environments where efficiency, or inefficiency, can directly impact patient outcomes. AI is helping to optimize many different aspects of back office operations from helping with scheduling staff to supply chain management.
The Mayo Clinic, an early adopter of both automation and AI technologies, has implemented an AI tool to help better predict patient no-shows. By analyzing different factors such as appointment history, demographics, and even weather patterns, the AI system can predict when patients are likely to miss an appointment. This information helps the clinic to optimize scheduling, reduce wait times, and improve overall patient care.
Similarly, AI-enabled chatbots are being adopted in many industries and healthcare is no exception. Chatbots are being adopted to handle many routine inquiries and administrative tasks. This allows patients and loved ones looking for information to get answers quickly and it frees up healthcare professionals to focus on patient care. For example, the UK’s National Health Service (NHS) has implemented AI chatbots to provide talking therapies to adults.
Healthcare providers are faced with a heavy administrative workload. As a result, overburdened staff create bottlenecks slowing down patient care. By having AI chatbots act as the first point of contact for the patient to perform e-triage and assessments, patients feel like their initial needs are being met while at the same time healthcare professionals are able to focus on higher value patient-related tasks.
By enhancing diagnostic accuracy, enabling predictive analytics, and streamlining operations, AI is already having positive impacts on the healthcare industry. As AI continues to evolve, its integration into healthcare will only deepen, leading to more personalized, efficient, and effective patient care.
