Views of diagnosis distribution in primary care in 2.5 million encounters in Stockholm: a comparison between ICD-10 and SNOMED CT
<strong>Background</strong> 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 Intern...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BCS, The Chartered Institute for IT
2010-03-01
|
| Series: | Journal of Innovation in Health Informatics |
| Subjects: | |
| Online Access: | http://hijournal.bcs.org/index.php/jhi/article/view/750 |
| _version_ | 1819259722328440832 |
|---|---|
| author | Anna Vikström Mikael Nyström Hans Åhlfeldt Lars-Erik Strender Gunnar Nilsson |
| author_facet | Anna Vikström Mikael Nyström Hans Åhlfeldt Lars-Erik Strender Gunnar Nilsson |
| author_sort | Anna Vikström |
| collection | DOAJ |
| description | <strong>Background</strong> 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 amono-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.
<strong>Objective</strong> 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.
<strong>Methods</strong> 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.
<strong>Results</strong> 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.
<strong>Conclusions</strong> 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 fromSNOMED CT Is a and attribute relationships. A broader use of SNOMED CT is therefore of importance when describing and developing primary care. |
| first_indexed | 2024-12-23T19:14:32Z |
| format | Article |
| id | doaj.art-72d74e06a38341f389060b1fd0b7e5d1 |
| institution | Directory Open Access Journal |
| issn | 2058-4555 2058-4563 |
| language | English |
| last_indexed | 2024-12-23T19:14:32Z |
| publishDate | 2010-03-01 |
| publisher | BCS, The Chartered Institute for IT |
| record_format | Article |
| series | Journal of Innovation in Health Informatics |
| spelling | doaj.art-72d74e06a38341f389060b1fd0b7e5d12022-12-21T17:34:22ZengBCS, The Chartered Institute for ITJournal of Innovation in Health Informatics2058-45552058-45632010-03-01181172910.14236/jhi.v18i1.750692Views of diagnosis distribution in primary care in 2.5 million encounters in Stockholm: a comparison between ICD-10 and SNOMED CTAnna VikströmMikael NyströmHans ÅhlfeldtLars-Erik StrenderGunnar Nilsson<strong>Background</strong> 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 amono-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. <strong>Objective</strong> 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. <strong>Methods</strong> 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. <strong>Results</strong> 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. <strong>Conclusions</strong> 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 fromSNOMED CT Is a and attribute relationships. A broader use of SNOMED CT is therefore of importance when describing and developing primary care.http://hijournal.bcs.org/index.php/jhi/article/view/750ClassificationdiagnosisICD-10medical records systems computerisedprimary careSNOMED CT |
| spellingShingle | Anna Vikström Mikael Nyström Hans Åhlfeldt Lars-Erik Strender Gunnar Nilsson Views of diagnosis distribution in primary care in 2.5 million encounters in Stockholm: a comparison between ICD-10 and SNOMED CT Journal of Innovation in Health Informatics Classification diagnosis ICD-10 medical records systems computerised primary care SNOMED CT |
| title | Views of diagnosis distribution in primary care in 2.5 million encounters in Stockholm: a comparison between ICD-10 and SNOMED CT |
| title_full | Views of diagnosis distribution in primary care in 2.5 million encounters in Stockholm: a comparison between ICD-10 and SNOMED CT |
| title_fullStr | Views of diagnosis distribution in primary care in 2.5 million encounters in Stockholm: a comparison between ICD-10 and SNOMED CT |
| title_full_unstemmed | Views of diagnosis distribution in primary care in 2.5 million encounters in Stockholm: a comparison between ICD-10 and SNOMED CT |
| title_short | Views of diagnosis distribution in primary care in 2.5 million encounters in Stockholm: a comparison between ICD-10 and SNOMED CT |
| title_sort | views of diagnosis distribution in primary care in 2 5 million encounters in stockholm a comparison between icd 10 and snomed ct |
| topic | Classification diagnosis ICD-10 medical records systems computerised primary care SNOMED CT |
| url | http://hijournal.bcs.org/index.php/jhi/article/view/750 |
| work_keys_str_mv | AT annavikstrom viewsofdiagnosisdistributioninprimarycarein25millionencountersinstockholmacomparisonbetweenicd10andsnomedct AT mikaelnystrom viewsofdiagnosisdistributioninprimarycarein25millionencountersinstockholmacomparisonbetweenicd10andsnomedct AT hansahlfeldt viewsofdiagnosisdistributioninprimarycarein25millionencountersinstockholmacomparisonbetweenicd10andsnomedct AT larserikstrender viewsofdiagnosisdistributioninprimarycarein25millionencountersinstockholmacomparisonbetweenicd10andsnomedct AT gunnarnilsson viewsofdiagnosisdistributioninprimarycarein25millionencountersinstockholmacomparisonbetweenicd10andsnomedct |