Research and development of Health and Human Services Informatics

The research group of Health and Human Services Informatics (HHSI) is an internationally oriented and recognized research group. The group is integrated to the HHSI master’s and doctoral programs which rest on the educational recommendations of the International Medical Informatics Association (IMIA). The master degree program has been accredited 2012 and 2018 by IMIA.  HHSI research group plays an active role in the health and human services informatics education and development in Finland and internationally having both multidimensional and multidisciplinary research openings.

The core concepts of HHSI research paradigm are data, actions, technology, and actors that formulate the research areas of HHSI. The research focuses on the following entities of the paradigm:

Steering and organizing of information management in work processes

Development and evaluation of the health and social care service system such as information needs, flow and use; service design especially to find out the effectiveness of a digital ecosystem’s functions; business process analysis, and business process modelling.

Use of information and communication technology

Monitoring and assessing the success factors of implementing digital tools and technologies especially from sociotechnical perspective. Defining and revealing usability, data security and protection concerns and risks. Analyzing the potential of digital services in health and social care.

Knowledge management and informatics competences

Endorsing effectiveness and evidence-based studies in the form of systematic reviews, evaluation and implementation studies, and data mining of health and social data.

Exploration of citizens’ and professionals’ information, learning and competency needs as well as ICT literacy for all require resilient openings. Management and leadership in the development digitalization of services and processes need new methods and solutions.

Data models and structures

Research and evaluation of the effects of data structures used in health and social care data, e.g. data repositories, data models, structured documentation, terminologies, standards, and data sets. Exploration and mining data of registries.

Research and development of new indications for structured and unstructured health and administrative data, e.g. data repositories, data models, structured documentation, terminologies, standards, and data sets.