Search for dissertations about: "SNOMED-CT"

Showing result 1 - 5 of 6 swedish dissertations containing the word SNOMED-CT.

  1. 1. Terminology systems for health problems and procedures in primary care

    Author : Anna Vikström; Karolinska Institutet; Karolinska Institutet; []
    Keywords : MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; terminology systems;

    Abstract : Background and overall aim: Semantic interoperability addresses issues of how to best facilitate the coding, transmission and use of meaning across seamless health services, between providers, patients, citizens and authorities, and in research and training. One requirement for electronic patient record systems and their semantic interoperability is the consistent use of modern terminology systems. READ MORE

  2. 2. Enrichment of Terminology Systems for Use and Reuse in Medical Information Systems

    Author : Mikael Nyström; Hans Åhlfeldt; Håkan Örman; Ronald Cornet; Linköpings universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; Information technology; Informationsteknik;

    Abstract : Electronic health record systems (EHR) are used to store relevant heath facts about patients. The main use of the EHR is in the care of the patient, but an additional use is to reuse the EHR information to locate and evaluate clinical evidence for treatments. READ MORE

  3. 3. Scalability and Semantic Sustainability in Electronic Health Record Systems

    Author : Erik Sundvall; Håkan Örman; Magnus Borga; Hans Åhlfeldt; Dipak Kalra; Linköpings universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; NATURAL SCIENCES; MEDICAL AND HEALTH SCIENCES;

    Abstract : This work is a small contribution to the greater goal of making software systems used in healthcare more useful and sustainable. To come closer to that goal, health record data will need to be more computable and easier to exchange between systems. READ MORE

  4. 4. From Disorder to Order : Extracting clinical findings from unstructured text

    Author : Maria Skeppstedt; Hercules Dalianis; Gunnar Nilsson; Beáta Megyesi; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Text mining; named entity recognition; clinical language processing; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : Medical disorders and findings are examples of important information in health record text. Through developing methods for automatically extracting these entities from the health record text, the possibility of making use of the information by automatic computerised processes increases. READ MORE

  5. 5. Exploring openEHR-based clinical guidelines in acute stroke care and research

    Author : Nadim Anani; Karolinska Institutet; Karolinska Institutet; []
    Keywords : MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP;

    Abstract : Largely speaking, health information systems today are not able to exchange data between each other and understand the data’s meaning automatically by means of their information technology components. This lack of ‘interoperability’ also leads to patients experiencing an undesired discontinuity in their care. READ MORE