Standardization of Interoperability in Health care Information Systems
Alexander Ask, Joel Berghé, Morgan Ericsson
Abstract
Alexander Ask, Joel Berghé, Morgan Ericsson
Abstract
This study examines the interoperability issues of\nHealth care Information Systems, (HIS). With the evolution\nof big data, Internet of Things, smart devices, Value\nBased Health care and categorization of patient groups for\noutcome measurements there is a great need for better HISs\nwhich in an effective way is able to share data with each\nother. Standardization is one recognized way of achieving\ninteroperability in information systems. Hence, in this case\nstudy we have researched the architectural drivers of hospital\nwhich incorporates interoperability and which interoperability\ncharacteristics can be standardized via existing health carefocused\nopen standard.\nOur results, gathered via nine semi-structured interviews\nand analyzed through a thematic analysis, show that HISs\nobjectives are hindered by both design constraints and by\ntechnical, semantic and process interoperability issues. It also\nshows that there are open standards which are applicable\nto these, however this raised the question of why they in a\nbroad scale are not. We therefore also discuss the possibility\nof adding a forth category to the three previous forces that in\nmake up interoperability [15], [26]. This forth force we call\ninteroperability climate and it is defined as: Organizations’\nreadiness to interact with each other under unanimously\ndefined terms. It is inspired by the ”climate of innovation”\nand ”innovation value-fit” in the theory of Innovation\nImplementation by Klein & Sorra [16]. It incorporates the\nidea of how a bad climate of innovation and low intensity\ninnovation value-fit can prevent interoperability in HISs.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This study examines the interoperability issues of\nHealth care Information Systems, (HIS). With the evolution\nof big data, Internet of Things, smart devices, Value\nBased Health care and categorization of patient groups for\noutcome measurements there is a great need for better HISs\nwhich in an effective way is able to share data with each\nother. Standardization is one recognized way of achieving\ninteroperability in information systems. Hence, in this case\nstudy we have researched the architectural drivers of hospital\nwhich incorporates interoperability and which interoperability\ncharacteristics can be standardized via existing health carefocused\nopen standard.\nOur results, gathered via nine semi-structured interviews\nand analyzed through a thematic analysis, show that HISs\nobjectives are hindered by both design constraints and by\ntechnical, semantic and process interoperability issues. It also\nshows that there are open standards which are applicable\nto these, however this raised the question of why they in a\nbroad scale are not. We therefore also discuss the possibility\nof adding a forth category to the three previous forces that in\nmake up interoperability [15], [26]. This forth force we call\ninteroperability climate and it is defined as: Organizations’\nreadiness to interact with each other under unanimously\ndefined terms. It is inspired by the ”climate of innovation”\nand ”innovation value-fit” in the theory of Innovation\nImplementation by Klein & Sorra [16]. It incorporates the\nidea of how a bad climate of innovation and low intensity\ninnovation value-fit can prevent interoperability in HISs.
Key concepts: Interoperability, Standardization, Cross-domain interoperability, Semantic interoperability, Knowledge management, Computer science, Health care, Data science