The recent advancements in Artificial Intelligence (AI) have sparked a mix of excitement and apprehension, with some fearing its perceived overreach. However, within the workplace, especially in the healthcare industry, AI holds tremendous potential for driving positive outcomes and transforming data intelligence into actionable insights.
Beyond its capacity to minimise human error, AI’s ability to efficiently track past mistakes and continuously learn from vast datasets underscores its profound impact. These attributes, among others, have positioned AI as a powerful ally in healthcare innovation.
But, firstly, what is Artificial Intelligence?
In simple terms, AI is the capability of machines to imitate human intelligence. It allows computers to learn from data, recognise patterns, and make decisions without explicit programming. It is a powerful tool that professionals, like those in healthcare, can leverage in their day-to-day roles to make proactive and data-driven decisions, allowing them more time to focus on caring for their patients.
After considering this, the team at Radar Healthcare have compiled a list of the benefits AI can have in the healthcare sector and the different ways in which it can be utilised.
What are the benefits of AI in healthcare technology?
Improved risk assessment
Through advanced algorithms and data analysis, AI can swiftly evaluate patient data, medical history, and other relevant factors to identify potential risks and predict health outcomes more accurately. This proactive approach enables healthcare providers to intervene early, potentially preventing diseases or complications before they escalate, thereby saving lives and reducing healthcare costs.
Enhanced quality of care
By leveraging machine learning and natural language processing, AI systems can analyse vast amounts of medical records, treatment guidelines, and patient data to assist healthcare professionals in making informed decisions. This not only leads to more accurate diagnoses and treatment plans, but also ensures that patients receive personalised care tailored to their unique needs and conditions, ultimately improving health outcomes and patient satisfaction.
Efficient compliance management
Efficient compliance management is crucial in the healthcare industry to adhere to regulations and standards while maintaining patient privacy and data security. AI-powered solutions can automate compliance processes, such as auditing medical records for accuracy and identifying potential violations, saving time and resources for healthcare organisations. By streamlining these tasks, AI helps ensure that healthcare providers remain compliant with regulations like HIPAA (Health Insurance Portability and Accountability Act) and GDPR (General Data Protection Regulation), mitigating legal risks and safeguarding patient trust.
Proactive risk mitigation
Proactive risk mitigation is another key advantage of AI in healthcare technology. By continuously monitoring patient data in real-time, AI systems can detect anomalies and early warning signs of potential health issues, allowing healthcare providers to intervene promptly. Whether it’s identifying deteriorating patient conditions in hospital settings or tracking vital signs remotely through wearable devices, AI enables proactive interventions that can prevent adverse events, reduce hospital readmissions, and improve overall patient outcomes.
Personalised risk management strategies
Personalised risk management strategies are revolutionising healthcare by tailoring treatments and interventions to individual patient’s needs and characteristics. AI algorithms analyse vast amounts of patient data, including genetic information, lifestyle factors, and treatment responses, to develop personalised risk profiles and treatment plans. This precision medicine approach not only improves the efficacy of treatments but also minimises side effects and unnecessary procedures, leading to better patient outcomes and satisfaction.
What are the different ways in which AI can be utilised in the healthcare sector?
X-Ray analysis
Thanks to its limitless sources of information across the internet, AI can detect abnormalities in X-rays quickly and efficiently – leaving more time for doctors to spend with their patients.
A study completed by the University of Warwick suggested that an AI analysis of an X-ray was just as accurate, if not more so, than that of a doctor’s, and could ultimately work as a very reliable second opinion.
Not only this, but the same study revealed that AI was able to distinguish serious conditions from more treatable ones after a simple scan, which would allow doctors to diagnose and treat their patients faster.
Surgical robots
Many industries choose to utilise the power of physical robots, as they are extremely efficient when it comes to lifting, carrying, delivering, and much more. With this in mind, it is no surprise that the healthcare industry is also no stranger to AI-powered robots. One very popular use for AI robots is that of disinfection – especially after the COVID-19 pandemic.
While humans can do this job, robots ensure that every possible area is disinfected, without needing to physically touch anything. This, in turn, minimises the risk of bacteria transfer.
As well as this, while robots have been used in surgical settings since the 1980s, modern advancements mean that they can assist surgeons by holding necessary equipment perfectly still – something that a human would, despite great effort, struggle to achieve.
Machine learning
This technique refers to one of the most common uses of AI, as it allows the technology to, as the name suggests, learn from the data it is presented. For example, at Radar Healthcare, our Analytics Software comes equipped with the power to produce performance reports on demand, eliminating the need for someone to manually sift through data.
This also means that, as the encrypted AI learns more about your business and the issues you wish to avoid, it can automatically trigger an alert if something goes wrong. For example, one of the main issues that care workers in residential homes face is that of residents tripping and falling.
With AI software at the helm, it becomes feasible to discern patterns, such as recurrent incidents unfolding over time. Take, for instance, a scenario where an individual is frequently experiencing trips or falls. Such occurrences might be indicative of environmental factors or problematic pathways. Detecting such trends enables a proactive stance, potentially prompting a medical assessment of the individual’s mobility needs. Subsequently, this alert could initiate a structured workflow, perhaps mandating an audit to eliminate potential tripping hazards within the individual’s environment.
By swiftly addressing such issues, comprehensive actions are undertaken and meticulously logged, ensuring robust oversight. This systematic approach not only safeguards the well-being of residents and staff, but also lays the groundwork for future preventive measures.
Virtual health assistants
Most people will have spoken to a chatbot in their lifetime, whether they were trying to book a GP appointment or researching a rash on their arm. While real people can be hired to monitor these chats, AI can utilise natural language processing (NLP) to be conversational, offering reassurance as well as answers.
This could, in theory, minimise hospital and GP waiting times, as people could seek and receive advice in a matter of minutes.
As well as this, medical staff could use their time to focus on patients with more complex symptoms, not to mention the reduction in overheads and scaling issues (as chatbots can effectively handle several cases at once).
Care planning software
In a care home setting, AI could be used to create rotas for different staff members, as well as medication schedules for residents. It could be employed to keep track of dietary requirements, visitors, day trips, and much more, meaning carers have more time to spend with their patients.
Workflow optimisation
Finally, we have the most simple, yet possibly the most useful way to employ AI – using it to streamline and simplify routine tasks. Think PDPs (performance development plans), keeping a (virtual) finger on the pulse of new healthcare trends and discoveries, to even answering phones – the possibilities are almost endless, especially when it comes to an industry as crucial as the healthcare system.
Conclusion
While the rapid evolution of AI may evoke concerns, its trajectory promises to be increasingly beneficial for industries, particularly healthcare. By leveraging AI’s capabilities, and innovative software that leverages AI technology, healthcare professionals can reduce their workload, freeing up their time to do what they do best – caring for their patients.
