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Åhlfeldt, Hans
Publications (10 of 96) Show all publications
Nyström, M., Vikström, A., Nilsson, G. H., Åhlfeldt, H. & Örman, H. (2010). Enriching a primary health care version of ICD-10 using SNOMED CT mapping. Journal of Biomedical Semantics, 1(7)
Open this publication in new window or tab >>Enriching a primary health care version of ICD-10 using SNOMED CT mapping
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2010 (English)In: Journal of Biomedical Semantics, ISSN 2041-1480, Vol. 1, no 7Article in journal (Refereed) Published
Abstract [en]

Background: In order to satisfy different needs, medical terminology systems musthave richer structures. This study examines whether a Swedish primary health careversion of the mono-hierarchical ICD-10 (KSH97-P) may obtain a richer structureusing category and chapter mappings from KSH97-P to SNOMED CT and SNOMEDCT’s structure. Manually-built mappings from KSH97-P’s categories and chapters toSNOMED CT’s concepts are used as a starting point

Results: The mappings are manually evaluated using computer-producedinformation and a small number of mappings are updated. A new and polyhierarchicalchapter division of KSH97-P’s categories has been created using thecategory and chapter mappings and SNOMED CT’s generic structure. In the newchapter division, most categories are included in their original chapters. Aconsiderable number of concepts are included in other chapters than their originalchapters. Most of these inclusions can be explained by ICD-10’s design. KSH97-P’scategories are also extended with attributes using the category mappings andSNOMED CT’s defining attribute relationships. About three-fourths of all conceptsreceive an attribute of type Finding site and about half of all concepts receive anattribute of type Associated morphology. Other types of attributes are less common.

Conclusions: It is possible to use mappings from KSH97-P to SNOMED CT andSNOMED CT’s structure to enrich KSH97-P’s mono-hierarchical structure with a polyhierarchicalchapter division and attributes of type Finding site and Associatedmorphology. The final mappings are available as additional files for this paper.

Place, publisher, year, edition, pages
London, United Kingdom: BioMed Central, 2010
National Category
Medical and Health Sciences Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-58030 (URN)10.1186/2041-1480-1-7 (DOI)20618919 (PubMedID)
Available from: 2010-07-21 Created: 2010-07-21 Last updated: 2018-01-12
Vikstrom, A., Nystrom, M., Åhlfeldt, H., Strender, L.-E. & Nilsson, G. H. (2010). Views of diagnosis distribution in primary care in 2.5 million encounters in Stockholm: a comparison between ICD-10 and SNOMED CT. Informatics in Primary Care, 18(1), 17-29
Open this publication in new window or tab >>Views of diagnosis distribution in primary care in 2.5 million encounters in Stockholm: a comparison between ICD-10 and SNOMED CT
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2010 (English)In: Informatics in Primary Care, ISSN 1476-0320, E-ISSN 1475-9985, Vol. 18, no 1, p. 17-29Article in journal (Refereed) Published
Abstract [en]

Background Primary care (PC) in Sweden provides ambulatory and home health care outside hospitals. Within the County Council of Stockholm coding of diagnoses in PC is mandatory and is done by general practitioners (GPs) using a Swedish primary care version of the International Statistical Classification of Diseases version 10 (ICD-10). ICD-10 has a mono-hierarchical structure. SNOMED CT is poly-hierarchical and belongs to a new generation of terminology systems with attributes (characteristics) that connect concepts in SNOMED CT and build relationships. Mapping terminologies and classifications has been pointed out as a way to attain additional advantages in describing and documenting healthcare data. A poly-hierarchical system supports the representation and aggregation of healthcare data on the basis of specific medical aspects and various levels of clinical detail. Objective To describe and compare diagnoses and health problems in KSH97-P/ICD-10 and SNOMED CT using primary care diagnostic data and to explore and exemplify complementary aggregations of diagnoses and health problems generated from a mapping to SNOMED CT. Methods We used diagnostic data collected throughout 2006 and coded in electronic patient records (EPRs) and a mapping from KSH97-P/ICD-10 to SNOMED CT to aggregate the diagnostic data with SNOMED CT defining hierarchical relationship Is a and selected attribute relationships. Results The chapter level comparison between ICD-10 and SNOMED CT showed minor differences except for infectious and digestive system disorders. The relationships chosen aggregated the diagnostic data to 2861 concepts showing a multidimensional view on different medical and specific levels and also including clinically relevant characteristics through attribute relationships. Conclusions SNOMED CT provides a different view of diagnoses and health problems on a chapter level and adds significant new views of the clinical data with aggregations generated from SNOMED CT Is a and attribute relationships. A broader use of SNOMED CT is therefore of importance when describing and developing primary care. © 2010 PHCSG, British Computer Society.

Place, publisher, year, edition, pages
The British Computer Society, 2010
Keywords
Classification; Diagnosis; ICD-10; Medical records systems computerised; Primary care; SNOMED CT
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-57019 (URN)20429975 (PubMedID)
Available from: 2010-06-14 Created: 2010-06-09 Last updated: 2017-12-12
Nyström, M., Vikström, A., Nilsson, G. H., Örman, H. & Åhlfeldt, H. (2010). Visualization of disease distribution with SNOMED CT and ICD-10. In: Safran, Charles; Reti, Shane; Marin, Heimar (Ed.), MEDINFO 2010 - Proceedings of the 13th World Congress on Medical Informatics: . Paper presented at 13th International Congress on Medical Informatics (MEDINFO 2010), 12-15 September 2010, Cape Town, South Africa (pp. 1100-1103). Amsterdam: IOS Press, 160
Open this publication in new window or tab >>Visualization of disease distribution with SNOMED CT and ICD-10
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2010 (English)In: MEDINFO 2010 - Proceedings of the 13th World Congress on Medical Informatics / [ed] Safran, Charles; Reti, Shane; Marin, Heimar, Amsterdam: IOS Press, 2010, Vol. 160, p. 1100-1103Conference paper, Published paper (Refereed)
Abstract [en]

Methods for presentation of disease and health problem distribution in a health care environment rely among other things on the inherent structure of the controlled terminology used for coding. In the present study, this aspect is explored with a focus on ICD-10 and SNOMED CT. The distribution of 2,5 million diagnostic codes from primary health care in the Stockholm region is presented and analyzed through the “lenses” of ICD-10 and SNOMED CT. The patient encounters, originally coded with a reduced set of ICD-10 codes used in primary health care in Sweden, were mapped to SNOMED CT concepts through a mapping table. The method used for utilizing the richer structure of SNOMED CT as compared to ICD-10 is presented, together with examples of produced disease distributions. Implications of the proposed method for enriching a traditional classification such as ICD-10 through mappings to SNOMED CT are discussed.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2010
Series
Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365 ; 160
Keywords
Visualization, Disease distribution, Health problems, ICD-10, SNOMED CT, Terminology models
National Category
Computer and Information Sciences Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
urn:nbn:se:liu:diva-60128 (URN)10.3233/978-1-60750-588-4-1100 (DOI)20841854 (PubMedID)978-1-60750-587-7 (ISBN)
Conference
13th International Congress on Medical Informatics (MEDINFO 2010), 12-15 September 2010, Cape Town, South Africa
Available from: 2010-10-06 Created: 2010-10-06 Last updated: 2018-01-12Bibliographically approved
Chen, R., Klein, G. O., Sundvall, E., Karlsson, D. & Åhlfeldt, H. (2009). Archetype-based conversion of EHR content models: pilot experience with a regional EHR system. BMC Medical Informatics and Decision Making, 9(33)
Open this publication in new window or tab >>Archetype-based conversion of EHR content models: pilot experience with a regional EHR system
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2009 (English)In: BMC Medical Informatics and Decision Making, ISSN 1472-6947, E-ISSN 1472-6947, Vol. 9, no 33Article in journal (Refereed) Published
Abstract [en]

Background: Exchange of Electronic Health Record (EHR) data between systems from different suppliers is a major challenge. EHR communication based on archetype methodology has been developed by openEHR and CEN/ISO. The experience of using archetypes in deployed EHR systems is quite limited today. Currently deployed EHR systems with large user bases have their own proprietary way of representing clinical content using various models. This study was designed to investigate the feasibility of representing EHR content models from a regional EHR system as openEHR archetypes and inversely to convert archetypes to the proprietary format. Methods: The openEHR EHR Reference Model (RM) and Archetype Model (AM) specifications were used. The template model of the Cambio COSMIC, a regional EHR product from Sweden, was analyzed and compared to the openEHR RM and AM. This study was focused on the convertibility of the EHR semantic models. A semantic mapping between the openEHR RM/AM and the COSMIC template model was produced and used as the basis for developing prototype software that performs automated bidirectional conversion between openEHR archetypes and COSMIC templates. Results: Automated bi-directional conversion between openEHR archetype format and COSMIC template format has been achieved. Several archetypes from the openEHR Clinical Knowledge Repository have been imported into COSMIC, preserving most of the structural and terminology related constraints. COSMIC templates from a large regional installation were successfully converted into the openEHR archetype format. The conversion from the COSMIC templates into archetype format preserves nearly all structural and semantic definitions of the original content models. A strategy of gradually adding archetype support to legacy EHR systems was formulated in order to allow sharing of clinical content models defined using different formats. Conclusion: The openEHR RM and AM are expressive enough to represent the existing clinical content models from the template based EHR system tested and legacy content models can automatically be converted to archetype format for sharing of knowledge. With some limitations, internationally available archetypes could be converted to the legacy EHR models. Archetype support can be added to legacy EHR systems in an incremental way allowing a migration path to interoperability based on standards.

Place, publisher, year, edition, pages
BMC, 2009
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-19912 (URN)10.1186/1472-6947-9-33 (DOI)
Note
Original Publication: Rong Chen, Gunnar O Klein, Erik Sundvall, Daniel Karlsson and Hans Åhlfeldt, Archetype-based conversion of EHR content models: pilot experience with a regional EHR system, 2009, BMC MEDICAL INFORMATICS AND DECISION MAKING, (9), 33. http://dx.doi.org/10.1186/1472-6947-9-33 Licensee: BioMed Central http://www.biomedcentral.com/ Available from: 2009-08-25 Created: 2009-08-14 Last updated: 2017-12-13Bibliographically approved
Nyström, M., Merkel, M., Ahrenberg, L., Zweigenbaum, P., Petersson, H. & Åhlfeldt, H. (2009). Creating a medical English-Swedish dictionary using interactive word alignment (1ed.). In: Salonee Priya (Ed.), Lexicography: The Changing Landscape (pp. 131-157). Hyderabad, India: The Icfai University Press
Open this publication in new window or tab >>Creating a medical English-Swedish dictionary using interactive word alignment
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2009 (English)In: Lexicography: The Changing Landscape / [ed] Salonee Priya, Hyderabad, India: The Icfai University Press , 2009, 1, p. 131-157Chapter in book (Other academic)
Abstract [sv]

Lexicography is a realm of growing academic specialization. Dictionaries map meaning onto use. We have innumerable dictionaries on different subjects and for different purposes which we keep referring to, time and again. Despite the frequency with which dictionaries are unquestioningly consulted, many have little idea of what actually goes into making them or how meanings are definitively ascertained. We have become so accustomed to using dictionaries that we fail to take notice of the effort and time spent in their making. Understanding the finer nuances of the art of dictionary-making will be of interest to everyone. With changing times and the penetration of technology, the bulkier forms of dictionaries have given way to softer forms. This book updates the reader to the changing notions of the lexicon and dictionary-making in the new realm of modern technology and newer electronic tools. The book introduces us to lexicography and leads us to dictionaries for general and specific purposes. It examines dictionary compilation and research and enables compilers, users, educators and publishers to look anew at the art of lexicography. It duly takes into account the fact that dictionaries are meant to fulfill the needs of specific user groups and reflects the same in the chapters devoted to various professional dictionaries, which have recently achieved widespread recognition in the lexicographical literature. A good read for students of linguistics, teachers and translators apart from general readers interested in knowing the intricate art of making a dictionary.

Place, publisher, year, edition, pages
Hyderabad, India: The Icfai University Press, 2009 Edition: 1
National Category
General Language Studies and Linguistics Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-52612 (URN)978-81-314-2438-4 (ISBN)8-131-42-438-3 (ISBN)
Available from: 2010-01-05 Created: 2010-01-05 Last updated: 2018-01-12Bibliographically approved
Chen, R., Georgii-Hemming, P. & Åhlfeldt, H. (2009). Representing a chemotherapy guideline using openEHR and rules. In: Klaus-Peter Adlassnig, Bernd Blobel, John Mantas, Izet Masic (Ed.), Medical Informatics in a United and Healthy Europe: . Paper presented at MIE 2009 – The XXIInd International Congress of the European Federation for Medical Informatics (pp. 653-657). IOS Press, 150
Open this publication in new window or tab >>Representing a chemotherapy guideline using openEHR and rules
2009 (English)In: Medical Informatics in a United and Healthy Europe / [ed] Klaus-Peter Adlassnig, Bernd Blobel, John Mantas, Izet Masic, IOS Press, 2009, Vol. 150, p. 653-657Conference paper, Published paper (Refereed)
Abstract [en]

Computerized guidelines can provide decision support and facilitate the use of clinical guidelines. Several computerized guideline representation models (GRMs) exist but the poor interoperability between the guideline systems and the Electronic Health Record (EHR) systems limits their clinical usefulness. In this study we analyzed the clinical use of a published lymphoma chemotherapy guideline. We found that existing GRMs have limitations that can make it difficult to meet the clinical requirements. We hypothesized that guidelines could be represented as data and logic using openEHR archetypes, templates and rules. The design was tested by implementing the lymphoma guideline. We conclude that using the openEHR models and rules to represent chemotherapy guidelines is feasible and confers several advantages both from a clinical and from an informatics perspective.

Place, publisher, year, edition, pages
IOS Press, 2009
Series
Studies in Health Technology and Informatics, ISSN 0926-9630 ; 150
National Category
Computer and Information Sciences Medical Laboratory and Measurements Technologies
Identifiers
urn:nbn:se:liu:diva-21864 (URN)10.3233/978-1-60750-044-5-653 (DOI)000326889500137 ()978-1-60750-044-5 (ISBN)
Conference
MIE 2009 – The XXIInd International Congress of the European Federation for Medical Informatics
Available from: 2009-10-06 Created: 2009-10-06 Last updated: 2018-01-13Bibliographically approved
Chen, R., Garde, S., Beale, T., Nyström, M., Karlsson, D., Klein, G. O. & Åhlfeldt, H. (2008). An Archetype-based Testing Framework. In: Andersen, SK; Klein, GO; Schulz, S; Aarts, J; Mazzoleni, MC (Ed.), EHEALTH BEYOND THE HORIZON: GET IT THERE. Paper presented at International Conference of the European Federation for Medical Informatics 2008 (MIE2008) (pp. 401-406). Amsterdam: IOS Press, 136
Open this publication in new window or tab >>An Archetype-based Testing Framework
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2008 (English)In: EHEALTH BEYOND THE HORIZON: GET IT THERE / [ed] Andersen, SK; Klein, GO; Schulz, S; Aarts, J; Mazzoleni, MC, Amsterdam: IOS Press, 2008, Vol. 136, p. 401-406Conference paper, Published paper (Refereed)
Abstract [en]

With the introduction of EHR two-level modelling and archetype methodologies pioneered by openEHR and standardized by CEN/ISO, we are one step closer to semantic interoperability and future-proof adaptive healthcare information systems. Along with the opportunities, there are also challenges. Archetypes provide the full semantics of EHR data explicitly to surrounding systems in a platform-independent way, yet it is up to the receiving system to interpret the semantics and process the data accordingly. In this paper we propose a design of an archetype-based platform-independent testing framework for validating implementations of the openEHR archetype formalism as a means of improving quality and interoperability of EHRs.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2008
Series
Studies in health technology and informatics, ISSN 0926-9630 ; 136
Keywords
Computerized Medical Record Systems, EPR-CPR-EMR, Standards, Knowledge-based systems, Archetypes, openEHR, EHR, Testing, Semantic Interoperability
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-51367 (URN)000274308700066 ()978-1-58603-864-9 (ISBN)
Conference
International Conference of the European Federation for Medical Informatics 2008 (MIE2008)
Available from: 2009-10-29 Created: 2009-10-29 Last updated: 2015-06-10
Petersson, H., Gill, H. & Åhlfeldt, H. (2008). Improving Inter-Rater Reliability through Coding Scheme Reorganization: Managing Signs and Symptoms. In: The First Conference on Text and Data Mining of Clinical Documents Louhi08,2008 (pp. 54). Turku: TUCS General Publications
Open this publication in new window or tab >>Improving Inter-Rater Reliability through Coding Scheme Reorganization: Managing Signs and Symptoms
2008 (English)In: The First Conference on Text and Data Mining of Clinical Documents Louhi08,2008, Turku: TUCS General Publications , 2008, p. 54-Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Turku: TUCS General Publications, 2008
Keywords
medical informatics
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-42974 (URN)70359 (Local ID)70359 (Archive number)70359 (OAI)
Available from: 2009-10-10 Created: 2009-10-10
Sundvall, E., Qamar, R., Nyström, M., Forss, M., Petersson, H., Åhlfeldt, H. & Rector, A. (2008). Integration of Tools for Binding Archetypes to SNOMED CT. BMC Medical Informatics and Decision Making, 8(S7)
Open this publication in new window or tab >>Integration of Tools for Binding Archetypes to SNOMED CT
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2008 (English)In: BMC Medical Informatics and Decision Making, ISSN 1472-6947, E-ISSN 1472-6947, Vol. 8, no S7Article in journal (Refereed) Published
Abstract [en]

Background

The Archetype formalism and the associated Archetype Definition Language have been proposed as an ISO standard for specifying models of components of electronic healthcare records as a means of achieving interoperability between clinical systems. This paper presents an archetype editor with support for manual or semi-automatic creation of bindings between archetypes and terminology systems.

Methods

Lexical and semantic methods are applied in order to obtain automatic mapping suggestions. Information visualisation methods are also used to assist the user in exploration and selection of mappings.

Results

An integrated tool for archetype authoring, semi-automatic SNOMED CT terminology binding assistance and terminology visualization was created and released as open source.

Conclusion

Finding the right terms to bind is a difficult task but the effort to achieve terminology bindings may be reduced with the help of the described approach. The methods and tools presented are general, but here only bindings between SNOMED CT and archetypes based on the openEHR reference model are presented in detail.

Background

The Archetype formalism and the associated Archetype Definition Language have been proposed as an ISO standard for specifying models of components of electronic healthcare records as a means of achieving interoperability between clinical systems. This paper presents an archetype editor with support for manual or semi-automatic creation of bindings between archetypes and terminology systems.

Methods

Lexical and semantic methods are applied in order to obtain automatic mapping suggestions. Information visualisation methods are also used to assist the user in exploration and selection of mappings.

Results

An integrated tool for archetype authoring, semi-automatic SNOMED CT terminology binding assistance and terminology visualization was created and released as open source.

Conclusion

Finding the right terms to bind is a difficult task but the effort to achieve terminology bindings may be reduced with the help of the described approach. The methods and tools presented are general, but here only bindings between SNOMED CT and archetypes based on the openEHR reference model are presented in detail.

Place, publisher, year, edition, pages
Springer, 2008
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-43812 (URN)10.1186/1472-6947-8-S1-S7 (DOI)000277030600007 ()74857 (Local ID)74857 (Archive number)74857 (OAI)
Note

Original Publication: Erik Sundvall, Rahil Qamar, Mikael Nyström, Mattias Forss, Håkan Petersson, Hans Åhlfeldt and Alan Rector, Integration of Tools for Binding Archetypes to SNOMED CT, 2008, BMC Medical Informatics and Decision Making, (8), S7. http://dx.doi.org/10.1186/1472-6947-8-S1-S7 Licensee: BioMed Central http://www.biomedcentral.com/

Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2017-12-13
Nyström, M., Sundvall, E., Eneling, M., Karlsson, D., Petersson, H. & Åhlfeldt, H. (2008). Introduction to openEHR basic principles. In: : . Paper presented at International Congress od the European Federation for Medical Informatics, Göteborg.
Open this publication in new window or tab >>Introduction to openEHR basic principles
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2008 (English)Conference paper, Published paper (Refereed)
National Category
Biomedical Laboratory Science/Technology
Identifiers
urn:nbn:se:liu:diva-61150 (URN)
Conference
International Congress od the European Federation for Medical Informatics, Göteborg
Available from: 2010-11-04 Created: 2010-11-04 Last updated: 2015-09-22
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