AI in Healthcare
Artificial intelligence in healthcare is the next step in the ongoing global digitisation process that is enabling healthcare professionals to provide the best possible care. Thanks to machine learning and generative AI, healthcare software solutions are able to do far more for clinicians and patients alike.
The Access Group is eagerly taking that next step too with Access Evo; our AI evolution that is adding new functionality to our entire healthcare suite of software solutions so that they may continue to be amongst the very best options on the market.
Our Access Evo experience introduces Copilot - an AI assistant to provide quickfire answers and support your every move; Feeds - a personalised list of tasks and events to organise your priorities; and Spaces – custom dashboards to provide an overview of objectives and progress.
How to supercharge your team with AI
At Access we have a company ethos: the freedom to do more. Our goal is to enable our customers to be able to do more, and with Access Evo we’re enhancing our software suite to do more than it ever has before.
Access Evo is an integrated AI experience within Access products. It draws on industry knowledge and existing data to help understand workflow and opportunities for efficiencies to be made.
Access Evo is a user-focused AI-enabled software experience. It’s not a standalone tool but rather a booster – to our existing solutions and your existing workflow. Access Evo supports quicker task completion, greater data utilisation and real-time interactivity and engagement thanks to the combination of machine learning and generative AI.
Secure AI
Security is critical when it comes to AI, so we’re very proud that Access Evo has been developed to integrate with your organisation’s existing security and permissions.
Access Evo is established around a 3-tier model of security and confidentiality, ensuring that the artificial intelligence involved abides by strict rules and parameters for its data gathering and the sharing of its results or creations afterwards.
- Nothing is used in Open AI models
- Permissions are maintained per user
- Personal information remains confidential
Everyone has the right to personal confidentiality. For added reassurance, we ensure that no interactions or conversations with Access Evo are stored or shared externally. This means you can focus on the tasks at hand, confident in the knowledge that you can improve your organisation’s productivity without compromising data security.
Artificial Intelligence in healthcare
With machine learning providing far greater levels of data analysis and forecasting than ever before, and generative AI developing cutting edge simulations and providing human-like engagement, technology is beginning to shoulder the growing burden that has been on clinicians in recent years.
AI and machine learning in healthcare
According to our partner Microsoft, machine learning “uses algorithms to identify patterns within data, and those patterns are then used to create a data model that can make predictions. With increased data and experience, the results of machine learning are more accurate—much like how humans improve with more practice.”
There are three parts to machine learning being embedded and maturing: decision process, error function, and model optimisation.
Generative AI in healthcare
The future of AI in healthcare revolves around generative AI. This is the creative side of AI, and the next leap in the technology – the part that really feels like intelligence. Generative AI can produce text, images, videos but also other data. This is typically done through prompts, and is achieved through pattern recognition and generating similar creations to the information or sources studied.
When we talk about AI in healthcare applications, we are talking about things like chat services, interacting with patients on behalf of hospitals or GP surgeries to provide an initial assessment of a person’s problem or concern. AI and medical diagnosis are also tackling things like scan assessment, where AI can now start to spot anomalies such as cancer, clots, or foreign objects within an X-ray or a CT scan.
Benefits of AI in healthcare
Healthcare AI – or even AI in general – has been mulled over heavily in the media in recent years, but the reason is because it offers so much.
Frequently Asked Questions
What is AI in healthcare?
Artificial intelligence in healthcare is about the application of new, advanced computing techniques into healthcare software, so that solutions may provide further support to patients and clinicians alike.
How is AI used in healthcare?
The premise is to use these new techniques to forecast or predict outcomes using large quantities of existing data and evidence, or to be more creative – either visually in the form of simulations, or through human mimicry like chat assistants, designed to aide patient engagement. These can be an initial contact point to judge the level of necessity and priority of a patient’s complaint or concerns, helping clinicians and administrators better prioritise workload and resources.
How is AI helping in healthcare?
The goal is for technology to handle as much of the routine and repetition involved in healthcare administration and data capture, so that clinicians are free to focus on patients more, as well as their own wellbeing – be that through more rest or the opportunities to assign time for education and skill development.
Has Access partnered with anyone to develop this AI experience?
Yes, The Access Group has partnered with Microsoft to integrate their Copilot AI into Access Evo. It provides the generative AI human engagement and chat functionality.