In Healthcare — Artificial intelligence (AI) has been making a lot of inroads over the past few years as it offers ground-breaking tools that reform patient care, drive productivity with better workflow, and significantly improve results. Personalized treatment planning, clinical copilots, and AI-based scribes are three exciting applications that will reshape how employees in patient-facing roles can work to provide a tailored care solution. That, in turn, also strengthens the ability of the personalized treatment approach for these tools.
Personalized treatment has been a goal in healthcare for some time. It is an approach that seeks to offer individual patients care tailored specifically around their unique characteristics (genetic, biomarker profile), preferences, and needs. Till now, this has meant that clinicians have had to manually sift through patient records, history, and other data sources on a one-by-one basis – that information is then used in the creation of an individualized treatment plan. Although this is a time-consuming procedure, when done manually, it would sometimes result in inconsistencies of care.
With the integration of AI in healthcare, the face of personalized treatment changed drastically. Today, AI-powered tools scale to process massive amounts of data rapidly and with high accuracy, identifying patterns or insights that are impossible for humans. This has given rise to precise treatment graphs that are also dynamic and do not depend much on the state of health at a point in time.
The Role of Clinical Copilot in Personalized Care
Clinical copilot helps healthcare practitioners in their decision-making processes. These systems are designed to work in conjunction with clinicians, providing real-time insights and recommendations made possible by a comprehensive examination of patient data.
One of the most important benefits that AI brings is their capacity to learn and evolve. As they train on more data and are used by clinicians, these systems get better at tuning their algorithms to help provide personalized recommendations that become increasingly accurate over time. This flexible, responsive way of working means treatment plans are more likely to develop with the needs of the person at the center – making it much better than the traditional one-size-fits-all approach.
Artificial Intelligence (AI) Scribes Relieve Administrative Hassles and Improve Accuracy
Another major disruption in the healthcare space is AI-driven scribes. They are meant to help facilitate the documentation process by essentially transcribing and organizing clinical notes. This not only alleviates the administrative burden on healthcare providers but also means you get all your information recorded in a specific way. AI scribes ensure that the necessary information is documented accurately and readily available so clinicians can spend more time delivering care and less time typing.
Additionally, AI scribes are designed to cooperate with clinical copilot for greater efficiency in delivering care. Scribes automatically add data to the copilot system, which helps ensure that any future recommendations from the copilot are rooted in complete and current information.
AI Charts for Personalized Treatment
The benefits of personalized treatment charts are highly dynamic tools that change as the patient’s condition changes. Through AI, the charts are improved because they can analyze data across a variety of sources and deliver real-time updates that show how the patient’s doing. Clinicians can then quickly alter treatment plans, ensuring that the patient is receiving their most effective care at all times.
One instance where AI is useful is to identify minor alterations in the patient’s state, for example, AI could analyze lab results or other data to predict patients at a high risk for deterioration and highlight areas of the treatment plan that ought to be changed. It is a proactive method, which may reduce complications and ultimately patient outcomes.
The Future of AI in Personalized Treatment
The potential applications of AI, from personalized treatment charts and clinical copilot to ‘scribe’-less medical documentation, are just the tip of the iceberg when it comes to future advancements in healthcare. With AI, these tools will become even more intelligent than they already are and continue to provide better understanding on how best to optimize them.
What this shows is that the key to personalized healthcare in the future will be AI’s ability to take unstructured, large-scale data to pinpoint actionable, personalized treatment suggestions. Personalized care of AI is not new; however, what is changing rapidly with advances in technology is that it allows us to deliver tailored treatment plans for each patient. These include clinical copilot guiding physicians through patient interactions and AI scribes to deliver real-time insights, trimming the administrative burden from their day-to-day lives. These technologies will become more vital for delivering high-quality, personalized healthcare as they continue to develop.
