From f8cf5fe50a6e49c7d6546df23b814c6e4b34ca00 Mon Sep 17 00:00:00 2001 From: Maxim Moinat Date: Fri, 9 Apr 2021 20:43:01 +0200 Subject: [PATCH] clean up docs, update concept info, add equivalence documentation. fixes #114 --- docs/ReadMe.html | 10 ++--- docs/_site.yml | 2 +- docs/images/conceptinformation.png | Bin 68590 -> 171460 bytes docs/images/equivalences.png | Bin 0 -> 27127 bytes docs/images/index_stats.png | Bin 0 -> 52709 bytes docs/index.html | 6 +-- docs/installation.html | 38 +++++++++++++----- docs/installation.md | 47 ++++++++++++++++++---- docs/readme.md | 8 ++-- docs/usage.html | 29 ++++++++++---- docs/usage.md | 62 ++++++++++++++++++++++++----- 11 files changed, 154 insertions(+), 48 deletions(-) create mode 100644 docs/images/equivalences.png create mode 100644 docs/images/index_stats.png diff --git a/docs/ReadMe.html b/docs/ReadMe.html index d0972a5..01eb7aa 100644 --- a/docs/ReadMe.html +++ b/docs/ReadMe.html @@ -302,7 +302,7 @@ - Using Usagi + Using the Application Functions @@ -337,11 +337,11 @@

Documentation readme

Contribute

Contributions to this documentation are very welcome and even a must when new features are implemented. To update the documentation, edit one of the following markdown files or create a new markdown file:

-

The configuration of the page can be found in _site.yml.

+

The configuration of the page can be found in _site.yml.

Render html

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zjev9P)9*LcD=Hp4Z;``cW*6tQEcX8#=KYT!&bRv&JgffVgz!K8Z)Q}6{i}_uXTP|G o!$pBfu)~2xNuZG|=7(q&ITmk~lh5~irZND5r>mdKI;Vst0K{VCmH+?% literal 0 HcmV?d00001 diff --git a/docs/index.html b/docs/index.html index fbab18b..084242c 100644 --- a/docs/index.html +++ b/docs/index.html @@ -302,7 +302,7 @@ - Using Usagi + Using the Application Functions @@ -335,10 +335,10 @@

Introduction

-

Usagi is a software tool created by the Observational Health Data Sciences and Informatics (OHDSI) team and is used to help in the process of mapping codes from a source system into the standard terminologies stored in the Observational Medical Outcomes Partnership (OMOP) Vocabulary (http://www.ohdsi.org/data-standardization/vocabulary-resources/). The word Usagi is Japanese for rabbit and was named after the first mapping exercise it was used for; mapping source codes used in a Japanese dataset into OMOP Vocabulary concepts.

+

Usagi is a software tool created by the Observational Health Data Sciences and Informatics (OHDSI) team and is used to help in the process of mapping codes from a source system into the standard terminologies stored in the Observational Medical Outcomes Partnership (OMOP) Vocabulary. The word Usagi is Japanese for rabbit and was named after the first mapping exercise it was used for; mapping source codes used in a Japanese dataset into OMOP Vocabulary concepts.

Mapping source codes into the OMOP Vocabulary is valuable for two main reasons:

    -
  1. When converting a raw dataset into the OMOP Common Data Model (CDM) (http://www.ohdsi.org/data-standardization/the-common-data-model/), translating source specific codes into standard concepts (i.e. RxNorm or SNOMED) translates the source data into a “common language” other CDMs follow.
  2. +
  3. When converting a raw dataset into the OMOP Common Data Model (CDM), translating source specific codes into standard concepts (i.e. RxNorm or SNOMED) translates the source data into a “common language” other CDMs follow.
  4. Having source codes tied into the OMOP Vocabulary concepts allow a researcher to leverage the power of finding relevant source codes leveraging classification terminologies in the OMOP Vocabulary (e.g. find all antipsychotic medications or find all condition codes related to heart failure).
diff --git a/docs/installation.html b/docs/installation.html index d3d1b4e..a2f34da 100644 --- a/docs/installation.html +++ b/docs/installation.html @@ -11,7 +11,7 @@ -Installation & Setup +Usagi - Installation & Setup @@ -378,7 +378,7 @@ - Using Usagi + Using the Application Functions @@ -410,15 +410,35 @@

Installation & Setup

-
-

Installation and support

-

All source code and installation instructions are available on Usagi’s GitHub site: https://github.com/OHDSI/Usagi

-

Any bugs/issues/enhancements should be posted to the GitHub repository: https://github.com/OHDSI/Usagi/issues

-

Any questions/comments/feedback/discussion can be posted on the OHDSI Developer Forum: http://forums.ohdsi.org/c/developers

+
+

Installation

+

Usagi is a stand-alone java application, which requires Java 1.8 or higher to be installed. Java can be downloaded from java.com.

+

To get the latest Usagi build, download “Usagi_vx.x.x.jar” under the Releases tab.

+

After downloading, Usagi can be started simply by double clicking the jar file. Alternatively, Usagi can be opened from the commandline: java -jar Usagi_vx.x.x.jar.

-

One-time setup

-

TBD

+

One-time Setup

+

The first time you start Usagi, you will be prompted to index the vocabularies. Usagi does not come with the indexes, you have to provide the vocabulary files. To do so, follow the folllowing steps:

+
    +
  1. Get the latest version of the vocabulary from Athena. An account is required. You can select any vocabularies that you need.
  2. +
  3. When your vocabulary package is ready, download it and unzip the package.
  4. +
  5. Open Usagi as described above.
  6. +
  7. When prompted, specify the location of the downloaded vocabulary files to create the index.
    +The creation of the vocabulary index is a computationally expensive process and can take hours to complete.
  8. +
  9. When finished, the vocabulary version should be displayed in the bottom right. Statistics of your index can be viewed from Help –> Show index statistics
  10. +
+

+

When switching to a new version of Usagi, the index files can be copied over. Multiple versions of Usagi can even use the same index. The Usagi jar file and the index files just need to be in the same folder.

+

In some cases, Usagi will not be able find the vocabulary index or the index creation becomes stuck after a few hours (see issue #64). In both cases, opening Usagi from the commandline might help: java -jar Usagi_vx.x.x.jar.

+
+
+

Support

+

All source code and installation instructions are available on Usagi’s GitHub site:
+https://github.com/OHDSI/Usagi

+

Any bugs/issues/enhancements should be posted to the GitHub repository:
+https://github.com/OHDSI/Usagi/issues

+

Any questions/comments/feedback/discussion can be posted on the OHDSI Developer Forum:
+http://forums.ohdsi.org/c/developers

diff --git a/docs/installation.md b/docs/installation.md index a66b0fd..421405d 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -1,19 +1,50 @@ --- -pagetitle: "Installation & Setup" +pagetitle: Usagi - Installation & Setup title: "Installation & Setup" --- ![](images/usagi_logo.png) -# Installation and support +# Installation +Usagi is a stand-alone java application, which requires Java 1.8 or higher to be installed. +Java can be downloaded from java.com. -All source code and installation instructions are available on Usagi’s GitHub site: +To get the latest Usagi build, download "Usagi_vx.x.x.jar" under the Releases tab. + +After downloading, Usagi can be started simply by double clicking the jar file. +Alternatively, Usagi can be opened from the commandline: `java -jar Usagi_vx.x.x.jar`. + +# One-time Setup + +The first time you start Usagi, you will be prompted to index the vocabularies. +Usagi does not come with the indexes, you have to provide the vocabulary files. +To do so, follow the folllowing steps: + +1. Get the latest version of the vocabulary from [Athena](http://athena.ohdsi.org). An account is required. You can select any vocabularies that you need. +2. When your vocabulary package is ready, download it and unzip the package. +2. Open Usagi as described above. +2. When prompted, specify the location of the downloaded vocabulary files to create the index. \ + The creation of the vocabulary index is a computationally expensive process and can take hours to complete. +3. When finished, the vocabulary version should be displayed in the bottom right. + Statistics of your index can be viewed from _Help_ --> _Show index statistics_ + +![](images/index_stats.png) + +When switching to a new version of Usagi, the index files can be copied over. +Multiple versions of Usagi can even use the same index. +The Usagi jar file and the index files just need to be in the same folder. + +In some cases, Usagi will not be able find the vocabulary index or +the index creation becomes stuck after a few hours (see [issue #64](https://github.com/OHDSI/Usagi/issues/64)). +In both cases, opening Usagi from the commandline might help: `java -jar Usagi_vx.x.x.jar`. + +# Support + +All source code and installation instructions are available on Usagi’s GitHub site: \ https://github.com/OHDSI/Usagi -Any bugs/issues/enhancements should be posted to the GitHub repository: +Any bugs/issues/enhancements should be posted to the GitHub repository: \ https://github.com/OHDSI/Usagi/issues -Any questions/comments/feedback/discussion can be posted on the OHDSI Developer Forum: http://forums.ohdsi.org/c/developers - -# One-time setup -_TBD_ \ No newline at end of file +Any questions/comments/feedback/discussion can be posted on the OHDSI Developer Forum: \ +http://forums.ohdsi.org/c/developers diff --git a/docs/readme.md b/docs/readme.md index c254e86..8fadd61 100644 --- a/docs/readme.md +++ b/docs/readme.md @@ -10,11 +10,11 @@ output: Contributions to this documentation are very welcome and even a must when new features are implemented. To update the documentation, edit one of the following markdown files or create a new markdown file: - - [index.md](https://github.com/ohdsi/usagi/blob/master/docs/index.md) - - [usage.md](https://github.com/ohdsi/usagi/blob/master/docs/usage.md) - - [installation.md](https://github.com/ohdsi/usagi/blob/master/docs/installation.md) + - index.md + - usage.md + - installation.md -The configuration of the page can be found in [_site.yml](https://github.com/ohdsi/usagi/blob/master/docs/_site.yml). +The configuration of the page can be found in _site.yml. ## Render html To generate the site from markdown files, run the following R script with the `./docs` folder as working directory. diff --git a/docs/usage.html b/docs/usage.html index 83c25d8..f15ad22 100644 --- a/docs/usage.html +++ b/docs/usage.html @@ -11,7 +11,7 @@ -Usage +Usagi - Usage @@ -378,7 +378,7 @@ - Using Usagi + Using the Application Functions @@ -409,12 +409,11 @@

Using the Application Functions

-

Importing Source Codes into Usagi

Export source codes from source system into a CSV or Excel (.xlsx) file. This should at least have columns containing the source code and an English source code description, however additional information about codes can be brought over as well (e.g. dose unit, or the description in the original language if translated). In addition to information about the source codes, the frequency of the code should preferably also be brought over, since this can help prioritize which codes should receive the most effort in mapping (e.g. you can have 1,000 source codes but only 100 are truly used within the system). If any source code information needs translating to English, use Google Translate to do that.

Note: source code extracts should be broken out by domain (i.e. drugs, procedures, conditions, observations) and not lumped into one large file.

-

Source codes are loaded into Usagi from the File –> Import codes menu. From here an “Import codes …” will display as seen in Figure 1.

+

Source codes are loaded into Usagi from the File –> Import codes menu. From here an “Import codes …” will display as seen in Figure 1.

Figure 1: Usagi Source Code Input Screen

In Figure 1, the source code terms were in Dutch and were also translated into English. Usagi will leverage the English translations to map to the standard vocabulary.

Figure 2: Telling Usagi how to Read Input File

@@ -438,7 +437,21 @@

Importing Source Codes into Usagi

Approving a Suggested Mapping

The Overview Table shows the current mapping of source codes to concepts. Right after importing source codes, this mapping contains the automatically generated suggested mappings based on term similarity and any search options. In the example in Figure 4, the English names of Dutch condition codes were mapped to standard concepts in the Condition domain, because the user restricted the search to that domain. Usagi compared the source code descriptions to concept names and synonyms to find the best match. Because the user had selected ‘Include source terms’ Usagi also considered the names and synonyms of all source concepts in the vocabulary that map to a particular concept.If Usagi is unable to make a mapping, it will map to the CONCEPT_ID = 0.

Figure 5: Reviewing an Usagi Match

-

It is suggested that someone with experience with coding systems help map source codes to their associated standard vocabulary. That individual will work through code by code in the Overview Table to either accept the mapping Usagi has suggested or choose a new mapping. For example in Figure 5 we see that the Dutch term “Hoesten” which was translated to the English term “Cough”. Usagi used “Cough” and mapped it to the OMOP Vocabulary concept of “4158493-C/O - cough”. There was a matching score of 0.58 associated to this matched pair (matching scores are typically 0 to 1 with 1 being a confident match), a score of 0.58 signifies that Usagi is not very sure of how well it has mapped this Dutch code to SNOMED. Let us say in this case, we are okay with this mapping, we can approve it by hitting the green “Approve” button in the bottom right hand portion of the screen.

+

It is suggested that someone with experience with coding systems help map source codes to their associated standard vocabulary. That individual will work through code by code in the Overview Table to either accept the mapping Usagi has suggested or choose a new mapping. For example in Figure 5 we see that the Dutch term “Hoesten” which was translated to the English term “Cough”. Usagi used “Cough” and mapped it to the OMOP Vocabulary concept of “4158493-C/O - cough”. There was a matching score of 0.58 associated to this matched pair (matching scores are typically 0 to 1 with 1 being a confident match), a score of 0.58 signifies that Usagi is not very sure of how well it has mapped this Dutch code to SNOMED. Let us say in this case, we are okay with this mapping, we can approve it by hitting the green “Approve” button in the bottom right-hand portion of the screen.

+
+

Equivalence

+

In Usagi 1.4+, we can assign an equivalence status when approving. This allows the reviewer to capture how well the target concept(s) capture the meaning of the source term.

+

+

The equivalence definitions are based on the the HL7 concept map equivalence:

+
    +
  • Equal = The concepts are exactly the same (i.e. intentionally identical).
  • +
  • Equivalent = The concepts mean the same thing (i.e. extensionally identical).
  • +
  • Wider = The target contains more information than to the source.
  • +
  • Narrower = The target contains less information than the source.
  • +
  • Inexact = The target overlaps with the source, but both source and target cover additional meaning.
  • +
  • Unmatched = There is no match for this concept in the target code system.
  • +
+

Searching for a New Mapping

@@ -450,9 +463,10 @@

Searching for a New Mapping

Concept information

-

When looking for appropriate concepts to map to, it is important to consider the ‘social life’ of a concept. The meaning of a concept might depend partially on its place in the hierarchy, and sometimes there are ‘orphan concepts’ in the vocabulary with few or no hierarchical relationships, which would be ill-suited as target concepts. Usagi will often report the number of parents and children a concept has, and it also possible to show more information by pressing ALT + C, or selecting view –> Concept information in the top menu bar.

+

When looking for appropriate concepts to map to, it is important to consider the ‘social life’ of a concept. The meaning of a concept might depend partially on its place in the hierarchy, and sometimes there are ‘orphan concepts’ in the vocabulary with few or no hierarchical relationships, which would be ill-suited as target concepts. Usagi will often report the number of parents and children a concept has, and it also possible to show more information by pressing ALT + C, or selecting VIEW –> Concept information in the top menu bar.

Figure 7: Concept information panel

-

Figure 7 shows the concept information panel. It shows general information about a concept, as well as its parents, children, and other source codes that map to the concept. Users can use this panel to navigate the hierarchy and potentially choose a different target concept.

+

It shows general information about a concept, as well as its parents, children, synonyms and other source codes that map to the concept. Users can use this panel to navigate the hierarchy and potentially choose a different target concept.

+

In addition, Usagi allows to directly open Athena in your default browser for the selected concept. When a concept is selected, press ALT + W or click on View-> Athena (web). Similarly, we can search google for a source code description with ALT + G or View –> Google (web).

Auto Mapped

@@ -482,6 +496,7 @@

Updating an Usagi mapping

  • Choose File –> Apply previous mapping, and select the old Usagi mapping file. Note that the format of the previous mapping should be as created by Save or Save As. Other formats do not work.
  • Identify codes that haven’t inherited approved mappings from the old mapping, and map them as usual.
  • +

    Note: the additional info columns of the applied mapping are ignored. These are not merged with the additional information in the already opened mapping.

    When the vocabulary is updated, follow these steps:

    1. Download the new vocabulary files from Athena
    2. diff --git a/docs/usage.md b/docs/usage.md index d4dfc4c..3edf3d2 100644 --- a/docs/usage.md +++ b/docs/usage.md @@ -1,17 +1,20 @@ --- -pagetitle: Usage +pagetitle: Usagi - Usage title: Using the Application Functions --- -![](images/usagi_logo.png) - # Importing Source Codes into Usagi -Export source codes from source system into a CSV or Excel (.xlsx) file. This should at least have columns containing the **source code** and an English **source code description**, however additional information about codes can be brought over as well (e.g. dose unit, or the description in the original language if translated). In addition to information about the source codes, the **frequency of the code** should preferably also be brought over, since this can help prioritize which codes should receive the most effort in mapping (e.g. you can have 1,000 source codes but only 100 are truly used within the system). If any source code information needs translating to English, use Google Translate to do that. +Export source codes from source system into a CSV or Excel (.xlsx) file. +This should at least have columns containing the **source code** and an English **source code description**, +however additional information about codes can be brought over as well (e.g. dose unit, or the description in the original language if translated). +In addition to information about the source codes, the **frequency of the code** should preferably also be brought over, +since this can help prioritize which codes should receive the most effort in mapping (e.g. you can have 1,000 source codes but only 100 are truly used within the system). +If any source code information needs translating to English, use Google Translate to do that. Note: source code extracts should be broken out by domain (i.e. drugs, procedures, conditions, observations) and not lumped into one large file. -Source codes are loaded into Usagi from the File --> Import codes menu. From here an “Import codes ...” will display as seen in Figure 1. +Source codes are loaded into Usagi from the _File --> Import codes_ menu. From here an “Import codes ...” will display as seen in Figure 1. ![](images/usagiimport.png) **Figure 1: Usagi Source Code Input Screen** @@ -50,12 +53,37 @@ Note that in any of the tables, you can right-click to select the columns that a # Approving a Suggested Mapping -The Overview Table shows the current mapping of source codes to concepts. Right after importing source codes, this mapping contains the automatically generated suggested mappings based on term similarity and any search options. In the example in Figure 4, the English names of Dutch condition codes were mapped to standard concepts in the Condition domain, because the user restricted the search to that domain. Usagi compared the source code descriptions to concept names and synonyms to find the best match. Because the user had selected 'Include source terms' Usagi also considered the names and synonyms of all source concepts in the vocabulary that map to a particular concept.If Usagi is unable to make a mapping, it will map to the CONCEPT_ID = 0. +The Overview Table shows the current mapping of source codes to concepts. +Right after importing source codes, this mapping contains the automatically generated suggested mappings based on term similarity and any search options. +In the example in Figure 4, the English names of Dutch condition codes were mapped to standard concepts in the Condition domain, because the user restricted the search to that domain. +Usagi compared the source code descriptions to concept names and synonyms to find the best match. +Because the user had selected 'Include source terms' Usagi also considered the names and synonyms of all source concepts in the vocabulary that map to a particular concept.If Usagi is unable to make a mapping, it will map to the CONCEPT_ID = 0. ![](images/usagiscreen2.png) **Figure 5: Reviewing an Usagi Match** -It is suggested that someone with experience with coding systems help map source codes to their associated standard vocabulary. That individual will work through code by code in the Overview Table to either accept the mapping Usagi has suggested or choose a new mapping. For example in Figure 5 we see that the Dutch term “Hoesten” which was translated to the English term “Cough”. Usagi used “Cough” and mapped it to the OMOP Vocabulary concept of “4158493-C/O - cough”. There was a matching score of 0.58 associated to this matched pair (matching scores are typically 0 to 1 with 1 being a confident match), a score of 0.58 signifies that Usagi is not very sure of how well it has mapped this Dutch code to SNOMED. Let us say in this case, we are okay with this mapping, we can approve it by hitting the green “Approve” button in the bottom right hand portion of the screen. +It is suggested that someone with experience with coding systems help map source codes to their associated standard vocabulary. +That individual will work through code by code in the Overview Table to either accept the mapping Usagi has suggested or choose a new mapping. +For example in Figure 5 we see that the Dutch term “Hoesten” which was translated to the English term “Cough”. +Usagi used “Cough” and mapped it to the OMOP Vocabulary concept of “4158493-C/O - cough”. +There was a matching score of 0.58 associated to this matched pair (matching scores are typically 0 to 1 with 1 being a confident match), +a score of 0.58 signifies that Usagi is not very sure of how well it has mapped this Dutch code to SNOMED. +Let us say in this case, we are okay with this mapping, we can approve it by hitting the green “Approve” button in the bottom right-hand portion of the screen. + +## Equivalence +In Usagi 1.4+, we can assign an equivalence status when approving. +This allows the reviewer to capture how well the target concept(s) capture the meaning of the source term. + +![](images/equivalences.png) + +The equivalence definitions are based on the [the HL7 concept map equivalence](https://www.hl7.org/fhir/codesystem-concept-map-equivalence.html): + +- **Equal** = The concepts are exactly the same (i.e. intentionally identical). +- **Equivalent** = The concepts mean the same thing (i.e. extensionally identical). +- **Wider** = The target contains more information than to the source. +- **Narrower** = The target contains less information than the source. +- **Inexact** = The target overlaps with the source, but both source and target cover additional meaning. +- **Unmatched** = There is no match for this concept in the target code system. # Searching for a New Mapping @@ -72,12 +100,19 @@ When we apply these search criteria we find “254761-Cough” and feel this may # Concept information -When looking for appropriate concepts to map to, it is important to consider the 'social life' of a concept. The meaning of a concept might depend partially on its place in the hierarchy, and sometimes there are 'orphan concepts' in the vocabulary with few or no hierarchical relationships, which would be ill-suited as target concepts. Usagi will often report the number of parents and children a concept has, and it also possible to show more information by pressing ALT + C, or selecting _view_ --> _Concept information_ in the top menu bar. +When looking for appropriate concepts to map to, it is important to consider the 'social life' of a concept. +The meaning of a concept might depend partially on its place in the hierarchy, and sometimes there are 'orphan concepts' in the vocabulary with few or no hierarchical relationships, which would be ill-suited as target concepts. +Usagi will often report the number of parents and children a concept has, and it also possible to show more information by pressing _ALT + C_, or selecting _VIEW_ --> _Concept information_ in the top menu bar. ![](images/conceptinformation.png) **Figure 7: Concept information panel** -Figure 7 shows the concept information panel. It shows general information about a concept, as well as its parents, children, and other source codes that map to the concept. Users can use this panel to navigate the hierarchy and potentially choose a different target concept. +It shows general information about a concept, as well as its parents, children, synonyms and other source codes that map to the concept. +Users can use this panel to navigate the hierarchy and potentially choose a different target concept. + +In addition, Usagi allows to directly open [Athena](https://athena.ohdsi.org/) in your default browser for the selected concept. +When a concept is selected, press _ALT + W_ or click on _View-> Athena (web)_. +Similarly, we can search google for a source code description with _ALT + G_ or _View --> Google (web)_. # Auto Mapped @@ -104,14 +139,19 @@ After selecting the SOURCE_VOCABULARY_ID, you give your export CSV a name and sa # Updating an Usagi mapping -Often a mapping is not a one-time effort. As data is updated perhaps new source codes are added, and also the vocabulary is updated regularly, perhaps requiring an update of the mapping. +Often a mapping is not a one-time effort. +As data is updated perhaps new source codes are added, and also the vocabulary is updated regularly, perhaps requiring an update of the mapping. When the set of source codes is updated the following steps can be followed to support the update: 1. Import the new source code file -1. Choose _File_ --> _Apply previous mapping_, and select the old Usagi mapping file. Note that the format of the previous mapping should be as created by _Save_ or _Save As_. Other formats do not work. +1. Choose _File_ --> _Apply previous mapping_, and select the old Usagi mapping file. + Note that the format of the previous mapping should be as created by _Save_ or _Save As_. Other formats do not work. 1. Identify codes that haven't inherited approved mappings from the old mapping, and map them as usual. +Note: the additional info columns of the applied mapping are ignored. +These are **not merged** with the additional information in the already opened mapping. + When the vocabulary is updated, follow these steps: 1. Download the new vocabulary files from Athena