Artificial Intelligence (AI) is playing an increasing role within healthcare. At the same time, AI is still an abstract or broad concept for many healthcare organizations. In practice, it is precisely concrete, well-defined applications of AI that can contribute directly to better support for healthcare professionals, reduced administrative pressure and improved information delivery. The challenge here is not in the technology itself, but in what care processes require improvement and why.

AI as a catch-all term

AI is not a stand-alone technology, but a catch-all term for various techniques and applications. Within healthcare, in particular, we see the use of Machine Learning, Natural Language Processing (NLP) and Generative AI. Each of these techniques has its own strength and application area.

Whereas Machine Learning focuses primarily on recognizing patterns and making predictions based on data, Generative AI makes it possible to work with language: understanding, summarizing and generating texts. That very combination makes AI particularly suited to healthcare environments, where large amounts of information are largely unstructured. The prerequisite, however, is that these techniques fit the daily practice of healthcare professionals.

How AI is being applied in healthcare

An important application area is the processing of unstructured information from documents such as referral letters, intake records and reports. Using AI, these documents can be automatically analyzed, relevant information recognized and presented in a structured manner. This saves time and reduces the risk of errors. For healthcare organizations, this means less administration and more focus on substantive care.

In addition, Generative AI is being used to generate summaries. Think of automatically summarizing lengthy records, reports or communication histories, so caregivers can quickly understand the core of a client or patient file without going through everything manually. This supports decision-making without replacing the professional judgment of the health care provider.

Smart search of client and patient records

Another key benefit of AI in healthcare is intelligent access to information. Instead of manually searching various systems, AI enables targeted queries on client and patient records. Relevant information is then retrieved and presented contextually, while maintaining authorizations and privacy rules. This is particularly valuable in complex healthcare environments with multiple applications and information flows.

This applies not only to files, but also to shared mailboxes, such as care administration or client administration. AI can provide insight into incoming messages, recognize topics, identify priorities and make connections between emails and existing files. This creates overview and calm in administrative processes that are often under high pressure.

AI in practice: GGZ InGeest

A concrete example of this approach is the collaboration with GGZ InGeest. In this case, Tacstone shows how AI is being deployed to better support healthcare employees in information processing and administrative tasks. The focus is on secure, accountable and scalable AI solutions that connect to existing healthcare processes and IT landscapes. You can read more about this in the GGZ InGeest case on our website.

Using AI effectively

Successfully deploying AI in healthcare requires more than just technological know-how. Healthcare processes are complex, highly regulated and vary by organization and context. What is theoretically possible with AI only proves valuable in practice when it fits in with existing practices, responsibilities, and laws and regulations.

Tacstone therefore brings not only knowledge of AI technology, but also years of experience with healthcare processes, information flows and change processes within healthcare. This combination makes it possible, together with healthcare organizations, to first get a clear picture of where change is needed, before determining how AI can contribute to it responsibly and effectively.

From technology to healthcare value

AI in healthcare is not an end in itself, but a means to unburden healthcare professionals and support the quality of care. By specifically applying AI to document processing, summaries, file access and administrative processes, space is created for what really matters: attention for the client or patient.

Tacstone helps healthcare organizations not keep AI abstract, but apply it responsibly, concretely and with value within their daily practice. Want to learn more about what Tacstone is doing with AI? Then click here.