def _get_data_tooltip(self):
if self.GetData() is None:
return None
enc = gmEMRStructItems.cEncounter(
aPK_obj=list(self._data.values())[0]['data'])
return enc.format(with_docs=False,
with_tests=False,
with_vaccinations=False,
with_family_history=False)
def test_encounter_edit_area_panel():
app = wx.PyWidgetTester(size=(200, 300))
#emr = pat.emr
#enc = emr.active_encounter
enc = gmEMRStructItems.cEncounter(1)
#pnl =
cEncounterEditAreaPnl(app.frame, -1, encounter=enc)
app.frame.Show(True)
app.MainLoop()
def test_encounter_edit_area_dialog():
app = wx.PyWidgetTester(size=(200, 300))
#emr = pat.emr
#enc = emr.active_encounter
enc = gmEMRStructItems.cEncounter(1)
dlg = cEncounterEditAreaDlg(parent=app.frame,
id=-1,
size=(400, 400),
encounter=enc)
dlg.ShowModal()
def _get_data_tooltip(self): if self.GetData() is None: return None enc = gmEMRStructItems.cEncounter(aPK_obj = self._data.values()[0]['data']) return enc.format ( with_docs = False, with_tests = False, with_vaccinations = False, with_family_history = False )
def _get_very_recent_encounter(pk_identity):
cfg_db = gmCfg.cCfgSQL()
min_ttl = cfg_db.get2 (
option = u'encounter.minimum_ttl',
workplace = gmPraxis.gmCurrentPraxisBranch().active_workplace,
bias = u'user',
default = u'1 hour 30 minutes'
)
cmd = u"""
SELECT pk_encounter
FROM clin.v_most_recent_encounters
WHERE
pk_patient = %s
and
last_affirmed > (now() - %s::interval)
ORDER BY
last_affirmed DESC"""
rows, idx = gmPG2.run_ro_queries(queries = [{'cmd': cmd, 'args': [pk_identity, min_ttl]}])
if len(rows) == 0:
_log.debug('no <very recent> encounter (younger than [%s]) found' % min_ttl)
return None
_log.debug('"very recent" encounter [%s] found and re-activated', rows[0][0])
return gmEMRStructItems.cEncounter(aPK_obj = rows[0][0])
def __refresh_history(self, patient=None):
emr = patient.emr
sort_key_list = []
date_format4sorting = '%Y %m %d %H %M %S'
now = gmDateTime.pydt_now_here()
data = {}
# undated entries
# pregnancy
edc = emr.EDC
if edc is not None:
sort_key = '99999 edc'
if emr.EDC_is_fishy:
label = _('EDC (!?!): %s') % gmDateTime.pydt_strftime(edc, format = '%Y %b %d')
tt = _(
'The Expected Date of Confinement is rather questionable.\n'
'\n'
'Please check patient age, patient gender, time until/since EDC.'
)
else:
label = _('EDC: %s') % gmDateTime.pydt_strftime(edc, format = '%Y %b %d')
tt = ''
sort_key_list.append(sort_key)
data[sort_key] = [label, tt]
# family history
fhxs = emr.get_family_history()
for fhx in fhxs:
sort_key = '99998 %s::%s' % (fhx['l10n_relation'], fhx['pk_family_history'])
sort_key_list.append(sort_key)
#gmDateTime.pydt_strftime(fhx['when_known_to_patient'], format = '%Y %m %d %H %M %S')
label = '%s%s: %s' % (fhx['l10n_relation'], gmTools.coalesce(fhx['age_noted'], '', ' (@ %s)'), fhx['condition'])
data[sort_key] = [label, fhx]
del fhxs
# dated entries
issues = [
i for i in emr.get_health_issues()
if ((i['clinically_relevant'] is False) or (i['is_active'] is False))
]
for issue in issues:
last_encounter = emr.get_last_encounter(issue_id = issue['pk_health_issue'])
linked_encounter = gmEMRStructItems.cEncounter(issue['pk_encounter'])
when_candidates = [issue['modified_when'], linked_encounter['last_affirmed']]
if last_encounter is not None:
when_candidates.append(last_encounter['last_affirmed'])
if (patient['dob'] is not None) and (issue['age_noted'] is not None):
when_candidates.append(patient['dob'] + issue['age_noted'])
if issue['is_active']:
# sort active issues by time of most recent clinical access, which
# means the most recent of:
# issue.modified_when
# last_encounter.last_affirmed
# linked_encounter.last_affirmed
# dob + age
relevant_date = max(when_candidates)
else:
# sort IN-active issues by best guess of real clinical start
# means either:
# - dob + age
# or the earliest of:
# - issue.modified_when
# - last_encounter.last_affirmed
# - linked_encounter.last_affirmed
if (patient['dob'] is not None) and (issue['age_noted'] is not None):
relevant_date = patient['dob'] + issue['age_noted']
else:
relevant_date = min(when_candidates)
sort_key = '%s::%s' % (gmDateTime.pydt_strftime(relevant_date, format = date_format4sorting), issue['pk_health_issue'])
relevant_date_str = gmDateTime.pydt_strftime(relevant_date, format = '%Y %b')
if issue['age_noted'] is None:
encounter = gmEMRStructItems.cEncounter(issue['pk_encounter'])
age = _(' (entered %s ago)') % gmDateTime.format_interval_medically(now - encounter['started'])
else:
age = ' (@ %s)' % gmDateTime.format_interval_medically(issue['age_noted'])
sort_key_list.append(sort_key)
data[sort_key] = ['%s %s%s' % (relevant_date_str, issue['description'], age), issue]
del issues
stays = emr.get_hospital_stays()
for stay in stays:
sort_key = '%s::%s' % (gmDateTime.pydt_strftime(stay['admission'], format = date_format4sorting), stay['pk_hospital_stay'])
label = '%s %s: %s (%s)' % (
gmDateTime.pydt_strftime(stay['admission'], format = '%Y %b'),
stay['hospital'],
stay['episode'],
_('%s ago') % gmDateTime.format_interval_medically(now - stay['admission'])
)
sort_key_list.append(sort_key)
data[sort_key] = [label, stay]
del stays
procs = emr.get_performed_procedures()
for proc in procs:
sort_key = '%s::%s' % (gmDateTime.pydt_strftime(proc['clin_when'], format = date_format4sorting), proc['pk_procedure'])
label = '%s%s %s (%s @ %s)' % (
gmDateTime.pydt_strftime(proc['clin_when'], format = '%Y %b'),
gmTools.bool2subst(proc['is_ongoing'], gmTools.u_ellipsis, '', ''),
proc['performed_procedure'],
_('%s ago') % gmDateTime.format_interval_medically(now - proc['clin_when']),
gmDateTime.format_interval_medically(proc['clin_when'] - patient['dob'])
)
sort_key_list.append(sort_key)
data[sort_key] = [label, proc]
del procs
vaccs = emr.get_latest_vaccinations()
for ind, tmp in vaccs.items():
no_of_shots, vacc = tmp
sort_key = '%s::%s::%s' % (gmDateTime.pydt_strftime(vacc['date_given'], format = date_format4sorting), vacc['pk_vaccination'], ind)
label = _('%s Vacc: %s (latest of %s: %s ago)') % (
gmDateTime.pydt_strftime(vacc['date_given'], format = '%Y %b'),
ind,
no_of_shots,
gmDateTime.format_interval_medically(now - vacc['date_given'])
)
sort_key_list.append(sort_key)
data[sort_key] = [label, vacc]
del vaccs
for abuse in [ a for a in emr.abused_substances if a['harmful_use_type'] == 3 ]:
sort_key = '%s::%s' % (gmDateTime.pydt_strftime(abuse['last_checked_when'], format = date_format4sorting), abuse['substance'])
label = _('Hx of addiction: %s') % abuse['substance']
sort_key_list.append(sort_key)
data[sort_key] = [label, abuse]
sort_key_list.sort()
sort_key_list.reverse()
list_items = []
list_data = []
for key in sort_key_list:
label, item = data[key]
list_items.append(label)
list_data.append(item)
self._LCTRL_history.set_string_items(items = list_items)
self._LCTRL_history.set_data(data = list_data)
def __refresh_history(self, patient=None):
emr = patient.emr
sort_key_list = []
date_format4sorting = '%Y %m %d %H %M %S'
now = gmDateTime.pydt_now_here()
data = {}
# undated entries
# pregnancy
edc = emr.EDC
if edc is not None:
sort_key = '99999 edc'
if emr.EDC_is_fishy:
label = _('EDC (!?!): %s') % gmDateTime.pydt_strftime(edc, format = '%Y %b %d')
tt = _(
'The Expected Date of Confinement is rather questionable.\n'
'\n'
'Please check patient age, patient gender, time until/since EDC.'
)
else:
label = _('EDC: %s') % gmDateTime.pydt_strftime(edc, format = '%Y %b %d')
tt = ''
sort_key_list.append(sort_key)
data[sort_key] = [label, tt]
# family history
fhxs = emr.get_family_history()
for fhx in fhxs:
sort_key = '99998 %s::%s' % (fhx['l10n_relation'], fhx['pk_family_history'])
sort_key_list.append(sort_key)
#gmDateTime.pydt_strftime(fhx['when_known_to_patient'], format = '%Y %m %d %H %M %S')
label = '%s%s: %s' % (fhx['l10n_relation'], gmTools.coalesce(fhx['age_noted'], '', ' (@ %s)'), fhx['condition'])
data[sort_key] = [label, fhx]
del fhxs
# dated entries
issues = [
i for i in emr.get_health_issues()
if ((i['clinically_relevant'] is False) or (i['is_active'] is False))
]
for issue in issues:
last_encounter = emr.get_last_encounter(issue_id = issue['pk_health_issue'])
linked_encounter = gmEMRStructItems.cEncounter(issue['pk_encounter'])
when_candidates = [issue['modified_when'], linked_encounter['last_affirmed']]
if last_encounter is not None:
when_candidates.append(last_encounter['last_affirmed'])
if (patient['dob'] is not None) and (issue['age_noted'] is not None):
when_candidates.append(patient['dob'] + issue['age_noted'])
if issue['is_active']:
# sort active issues by time of most recent clinical access, which
# means the most recent of:
# issue.modified_when
# last_encounter.last_affirmed
# linked_encounter.last_affirmed
# dob + age
relevant_date = max(when_candidates)
else:
# sort IN-active issues by best guess of real clinical start
# means either:
# - dob + age
# or the earliest of:
# - issue.modified_when
# - last_encounter.last_affirmed
# - linked_encounter.last_affirmed
if (patient['dob'] is not None) and (issue['age_noted'] is not None):
relevant_date = patient['dob'] + issue['age_noted']
else:
relevant_date = min(when_candidates)
sort_key = '%s::%s' % (gmDateTime.pydt_strftime(relevant_date, format = date_format4sorting), issue['pk_health_issue'])
relevant_date_str = gmDateTime.pydt_strftime(relevant_date, format = '%Y %b')
if issue['age_noted'] is None:
encounter = gmEMRStructItems.cEncounter(issue['pk_encounter'])
age = _(' (entered %s ago)') % gmDateTime.format_interval_medically(now - encounter['started'])
else:
age = ' (@ %s)' % gmDateTime.format_interval_medically(issue['age_noted'])
sort_key_list.append(sort_key)
data[sort_key] = ['%s %s%s' % (relevant_date_str, issue['description'], age), issue]
del issues
stays = emr.get_hospital_stays()
for stay in stays:
sort_key = '%s::%s' % (gmDateTime.pydt_strftime(stay['admission'], format = date_format4sorting), stay['pk_hospital_stay'])
label = '%s %s: %s (%s)' % (
gmDateTime.pydt_strftime(stay['admission'], format = '%Y %b'),
stay['hospital'],
stay['episode'],
_('%s ago') % gmDateTime.format_interval_medically(now - stay['admission'])
)
sort_key_list.append(sort_key)
data[sort_key] = [label, stay]
del stays
procs = emr.get_performed_procedures()
for proc in procs:
sort_key = '%s::%s' % (gmDateTime.pydt_strftime(proc['clin_when'], format = date_format4sorting), proc['pk_procedure'])
label = '%s%s %s (%s @ %s)' % (
gmDateTime.pydt_strftime(proc['clin_when'], format = '%Y %b'),
gmTools.bool2subst(proc['is_ongoing'], gmTools.u_ellipsis, '', ''),
proc['performed_procedure'],
_('%s ago') % gmDateTime.format_interval_medically(now - proc['clin_when']),
gmDateTime.format_interval_medically(proc['clin_when'] - patient['dob'])
)
sort_key_list.append(sort_key)
data[sort_key] = [label, proc]
del procs
vaccs = emr.get_latest_vaccinations()
for ind, tmp in vaccs.items():
no_of_shots, vacc = tmp
sort_key = '%s::%s::%s' % (gmDateTime.pydt_strftime(vacc['date_given'], format = date_format4sorting), vacc['pk_vaccination'], ind)
label = _('%s Vacc: %s (latest of %s: %s ago)') % (
gmDateTime.pydt_strftime(vacc['date_given'], format = '%Y %b'),
ind,
no_of_shots,
gmDateTime.format_interval_medically(now - vacc['date_given'])
)
sort_key_list.append(sort_key)
data[sort_key] = [label, vacc]
del vaccs
for abuse in [ a for a in emr.abused_substances if a['use_type'] == gmMedication.USE_TYPE_PREVIOUSLY_ADDICTED ]:
sort_key = '%s::%s' % (gmDateTime.pydt_strftime(abuse['last_checked_when'], format = date_format4sorting), abuse['substance'])
label = _('Hx of addiction: %s') % abuse['substance']
sort_key_list.append(sort_key)
data[sort_key] = [label, abuse]
sort_key_list.sort()
sort_key_list.reverse()
list_items = []
list_data = []
for key in sort_key_list:
label, item = data[key]
list_items.append(label)
list_data.append(item)
self._LCTRL_history.set_string_items(items = list_items)
self._LCTRL_history.set_data(data = list_data)
