Every day, healthcare professionals must find the information that matters most for patient care within large volumes of data. This may include key care episodes, changes in test results or information related to the treatment and follow-up of a specific condition. Such information is needed before appointments, during patient encounters, and when planning care and supporting clinical decision-making.
The challenge is not only the volume of information, but also that relevant details may be distributed across multiple sources and different parts of the patient record. Searching for information and reviewing it takes time, places an additional burden on professionals, and can delay the formation of a complete picture of the patient’s situation.
By reducing the time spent searching for information, navigating between screens, and conducting manual queries, healthcare professionals can focus more on patient interactions, clinical assessment, and the delivery of care.
To address this need, Tieto Caretech offers Lifecare Kide AI Assistant. Kide integrates AI-assisted information retrieval into the Lifecare Electronic Health Record (EHR) and healthcare professionals’ daily workflows. Based on the professional’s information needs, Kide generates summaries of patient data, helping professionals gain a comprehensive view of the patient’s situation without switching to a separate application or work environment.
AI helps professionals make better use of information
With Kide, users can describe their information needs in natural language and in their own words. Kide generates summaries based on those needs, helps professionals find relevant information faster, and reduces the time spent on manual information retrieval.
Users can continue exploring the information by asking follow-up questions and refining the summary according to specific time periods, diagnoses, medications, or test results.
For example, before an appointment, a healthcare professional can ask Kide to “summarize the patient’s coronary artery disease” or “summarize the information relevant to the patient’s reason for the visit”. Kide then compiles the relevant patient information into a clear summary, helping the professional prepare for the appointment while reducing the need for manual information retrieval.
Kide supports information discovery, summarization, and the creation of a comprehensive patient overview. The healthcare professional always evaluates the content generated by Kide and decides how it should be used in clinical practice.
A comprehensive data foundation and AI ecosystem
Lifecare Kide AI Assistant will be available to the Finnish healthcare professionals by the end of 2026. Kide uses information stored in Lifecare EHR, including clinical notes, diagnoses, risks, medications, appointments, laboratory results, and imaging data.
Kide’s flexible architecture supports the use of additional Lifecare content and external data sources, including information available through the Kanta Services*). It also enables third-party AI solutions to be integrated into Lifecare workflows. By bringing together comprehensive patient information and AI-assisted capabilities within the familiar Lifecare environment, Kide supports a more complete understanding of the patient’s situation.
Tieto Caretech also aims to extend the use of Kide to social care as part of Lifecare EHR Social Care. In social care, Kide can help professionals gather and summarize information relevant to a client’s situation, such as service history, plans, decisions, and case notes. This supports a clearer understanding of the client’s overall situation and service journey while freeing up more time for client interactions, assessment, and service planning.
Responsibly integrated into the clinical workflow
When developing AI solutions for healthcare, security, reliability, and transparency are essential. Lifecare Kide AI Assistant is designed to support professional work within the Lifecare environment while meeting the requirements related to handling patient information.
The development of Kide considers the specific characteristics of the healthcare environment, including data protection, role-based access to information, and the ability for professionals to review source information in its original context within the patient record.
Healthcare professionals always retain responsibility for evaluating how AI-generated summaries are used in clinical practice.
Towards an AI-assisted clinical workflow
The adoption of AI in healthcare is not merely a technological shift. It is also about ensuring that patient information is made available at the right time and as part of professionals’ existing workflows.
Lifecare Kide AI Assistant is part of the ongoing AI development within the Lifecare product family. Its goal is to make AI a natural part of healthcare professionals’ daily work and to help them use patient information more efficiently, securely, and effectively.
*) The Kanta Services are digital services used by Finnish social welfare and health care sectors and the public. They enable more effective social welfare and health care services throughout Finland.

