Simple blood result data collection format model classes for clinicedc/edc projects
Project description
edc-lab-results
Simple blood result data collection format for django models
- In this design
a specimen requisition for a panel is completed first (SubjectRequisition)
result is received and entered into a result form
if a result is admnormal or gradable, an ActionItem is created.
Building the Model
Below we create a model class with BloodResultsModelMixin. On the class we specify the lab_panel and limit the FK the requisitions of this panel using limit_choices_to.
# models.py
from edc_lab.model_mixins import CrfWithRequisitionModelMixin, requisition_fk_options
from edc_lab_panels.panels import chemistry_panel
class BloodResultsFbc(
CrfWithRequisitionModelMixin,
BloodResultsModelMixin,
BaseUuidModel,
):
lab_panel = fbc_panel
requisition = models.ForeignKey(
limit_choices_to={"panel__name": fbc_panel.name}, **requisition_fk_options
)
class Meta(CrfWithActionModelMixin.Meta, BaseUuidModel.Meta):
verbose_name = "Blood Result: FBC"
verbose_name_plural = "Blood Results: FBC"
The above example has no fields for results, so let’s add some model mixins, one for each result item.
# models.py
class BloodResultsFbc(
CrfWithRequisitionModelMixin,
HaemoglobinModelMixin,
HctModelMixin,
RbcModelMixin,
WbcModelMixin,
PlateletsModelMixin,
MchModelMixin,
MchcModelMixin,
McvModelMixin,
BloodResultsModelMixin,
CrfStatusModelMixin,
BaseUuidModel,
):
lab_panel = fbc_panel
requisition = models.ForeignKey(
limit_choices_to={"panel__name": fbc_panel.name}, **requisition_fk_options
)
class Meta(CrfWithActionModelMixin.Meta, BaseUuidModel.Meta):
verbose_name = "Blood Result: FBC"
verbose_name_plural = "Blood Results: FBC"
If an ActionItem is to be created because of an abnormal or reportable result item, add the ActionItem.
# models.py
class BloodResultsFbc(
CrfWithActionModelMixin,
CrfWithRequisitionModelMixin,
HaemoglobinModelMixin,
HctModelMixin,
RbcModelMixin,
WbcModelMixin,
PlateletsModelMixin,
MchModelMixin,
MchcModelMixin,
McvModelMixin,
BloodResultsModelMixin,
CrfStatusModelMixin,
BaseUuidModel,
):
action_name = BLOOD_RESULTS_FBC_ACTION
lab_panel = fbc_panel
requisition = models.ForeignKey(
limit_choices_to={"panel__name": fbc_panel.name}, **requisition_fk_options
)
class Meta(CrfWithActionModelMixin.Meta, BaseUuidModel.Meta):
verbose_name = "Blood Result: FBC"
verbose_name_plural = "Blood Results: FBC"
Building the ModeForm class
The ModelForm class just needs the Model class and the panel. In this case BloodResultsFbc and fbc_panel.
# forms.py
class BloodResultsFbcFormValidator(BloodResultsFormValidatorMixin, CrfFormValidator):
panel = fbc_panel
class BloodResultsFbcForm(ActionItemCrfFormMixin, CrfModelFormMixin, forms.ModelForm):
form_validator_cls = BloodResultsFbcFormValidator
class Meta(ActionItemCrfFormMixin.Meta):
model = BloodResultsFbc
fields = "__all__"
Building the ModelAdmin class
The ModelAdmin class needs the Model class, ModelForm class and the panel.
# admin.py
@admin.register(BloodResultsFbc, site=intecomm_subject_admin)
class BloodResultsFbcAdmin(BloodResultsModelAdminMixin, CrfModelAdmin):
form = BloodResultsFbcForm
fieldsets = BloodResultFieldset(
BloodResultsFbc.lab_panel,
model_cls=BloodResultsFbc,
extra_fieldsets=[(-1, action_fieldset_tuple)],
).fieldsets
The SubjectRequistion ModelAdmin class
When using autocomplete for the subject requsition FK on the result form ModelAdmin class, the subject requsition model admin class needs to filter the search results passed to the autocomplete control.
If all result models are prefixed with “bloodresult”, you can filter on the path name like this:
# admin.py
@admin.register(SubjectRequisition, site=intecomm_subject_admin)
class SubjectRequisitionAdmin(RequisitionAdminMixin, CrfModelAdmin):
form = SubjectRequisitionForm
# ...
def get_search_results(self, request, queryset, search_term):
queryset, use_distinct = super().get_search_results(request, queryset, search_term)
path = urlsplit(request.META.get("HTTP_REFERER")).path
query = urlsplit(request.META.get("HTTP_REFERER")).query
if "bloodresult" in str(path):
attrs = parse_qs(str(query))
try:
subject_visit = attrs.get("subject_visit")[0]
except (TypeError, IndexError):
pass
else:
queryset = queryset.filter(subject_visit=subject_visit, is_drawn=YES)
return queryset, use_distinct
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file edc_lab_results-0.3.15.tar.gz
.
File metadata
- Download URL: edc_lab_results-0.3.15.tar.gz
- Upload date:
- Size: 40.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bb07e491b286d77b1190bcc6bde544a7977c7ade23258d591ccc2f3cea540167 |
|
MD5 | 7e844c8635a21619b7056f4167bd310e |
|
BLAKE2b-256 | 66be3e411014051709b1969c9cd183112bf72cbd39e303b58ca28eb6261922df |
File details
Details for the file edc_lab_results-0.3.15-py3-none-any.whl
.
File metadata
- Download URL: edc_lab_results-0.3.15-py3-none-any.whl
- Upload date:
- Size: 47.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f9a766b3be9df2f307d7b94a314693b2af3ce1bcb885b121c64062988a00932a |
|
MD5 | 4bcfda012f872ac4af6a8e387fdc614c |
|
BLAKE2b-256 | f51edfb493e553e5c98c839dd4263cdd8a7e14b76c6bfbe49fb2957b398ee8db |