def update_charts(selected_status, selected_clinicians, selected_patients, start_date, end_date, selected_task, selected_task_category):
data = chart_utils.get_loaded_data('CENSUS_VISITS_BY_STATUS')
patient_roster_data = chart_utils.get_loaded_data('PATIENT_ROSTER')
if start_date:
data = data.loc[data["SCHEDULED_DATE"] >= start_date]
if end_date:
data = data.loc[data["SCHEDULED_DATE"] < end_date]
if selected_clinicians:
data = data.loc[data["ASSIGNED_TO"].isin(selected_clinicians)]
if selected_status:
data = data.loc[data["STATUS"].isin(selected_status)]
if selected_patients:
data = data.loc[data["PATIENT"].isin(selected_patients)]
if selected_task:
data = data.loc[data["TASK"].isin(selected_task)]
if selected_task_category:
data = data.loc[data["TASK_CATEGORY"].isin(selected_task_category)]
pie_charts = [
ddk.Card(
[
ddk.CardHeader("Overview of {}".format(column.title())),
chart_utils.generate_pie(data, column),
],
)
for column in ["PAYOR", "STATUS"]
]
time_series = [
ddk.DataCard(
id='visits_by_status_count',
value=data.shape[0]
),
ddk.CardHeader("Status of tasks for selected clinicians, dates, and status"),
chart_utils.generate_census_bar(data),
]
data_table = data.sort_values(by="SCHEDULED_DATE").to_dict("records")
patient_roster_chart = [
ddk.DataCard(
id='census_count',
value=patient_roster_data.shape[0]
),
ddk.CardHeader("Patient Roster Chart"),
chart_utils.generate_patient_roster_bar(patient_roster_data),
]
return patient_roster_chart, data_table, time_series, 0
def update_charts(
selected_status, selected_clinicians, selected_patients, start_date, end_date
):
data = chart_utils.get_loaded_data("SCHEDULEREPORTS_VISITSBYSTATUS","DATASET")
#print(data.columns)
if start_date:
data = data.loc[data["SCHEDULED_DATE"] > start_date]
if end_date:
data = data.loc[data["SCHEDULED_DATE"] < end_date]
if selected_clinicians:
data = data.loc[data["ASSIGNED_TO"].isin(selected_clinicians)]
if selected_status:
data = data.loc[data["STATUS"].isin(selected_status)]
if selected_patients:
data = data.loc[data["PATIENT"].isin(selected_patients)]
pie_charts = [
ddk.Card(
[
ddk.CardHeader(title="Overview of {}".format(column.title())),
chart_utils.generate_pie(data, column),
],
)
for column in ["PAYOR", "STATUS"]
]
time_series = [
ddk.DataCard(
id='total_visits_count',
value=data.shape[0]
),
ddk.CardHeader(
title="Status of tasks for selected clinicians, dates, and status"
),
chart_utils.generate_bar(data),
]
data_table = data.sort_values(by="SCHEDULED_DATE").to_dict("records")
return pie_charts, data_table, time_series, 0
def layout():
# load data for display
orders_history_data = chart_utils.get_loaded_data("VW_ORDERS_HISTORY_FULL", "DATASET")
remove_cols = ['BRANCH', 'COLUMN_MAPPING', 'COLUMN_PARAMETERS']
type_arr = chart_utils.get_options(orders_history_data, "TYPE")
physician_arr = chart_utils.get_options(orders_history_data, "PHYSICIAN")
patient_arr = chart_utils.get_options(orders_history_data, "TYPE")
remove_cols = ['BRANCH', 'PAYOR', 'INTERNAL_REFERRAL_SOURCE',]
max_date = datetime.now()
pending_df = orders_history_data.loc[
orders_history_data["DATA_SOURCE_ARRAY"].str.contains(r'ORDERSPENDINGMDS', na=True)]
history_df = orders_history_data.loc[
orders_history_data["DATA_SOURCE_ARRAY"].str.contains(r'ORDERSHISTORY', na=True)]
tbs_df = orders_history_data.loc[
orders_history_data["DATA_SOURCE_ARRAY"].str.contains(r'ORDERSTOBESENT', na=True)]
children = html.Div(
[
ddk.Row(
[
ddk.DataCard(
id='orders_tobe_sent_count',
value=tbs_df.shape[0],
label = 'To Be Sent'
),
ddk.DataCard(
id='orders_pending_mds_count',
value=pending_df.shape[0] ,
label='Pending MD Signature'
),
ddk.DataCard(
id='orders_history_count',
value=history_df.shape[0] ,
label='Total Orders'
),
]
),
ddk.Row(
[
ddk.ControlCard(
[
html.Details(
[
html.Summary("About this app"),
html.P(
"""Select attributes to fine tune graphs and tables."""
),
]
),
ddk.ControlItem(
dcc.Dropdown(
options=type_arr,
multi=True,
placeholder="Select Type",
id="orders-type-selector"
# value=["Not Yet Started", "Saved"],
)
),
ddk.ControlItem(
dcc.Dropdown(
options=physician_arr,
multi=True,
placeholder="Select Physician",
id="orders-physician-selector"
# value=["Not Yet Started", "Saved"],
)
),
ddk.ControlItem(
dcc.Dropdown(
options=patient_arr,
multi=True,
placeholder="Select Patient",
id="orders-patient-selector"
# value=["Not Yet Started", "Saved"],
)
),
ddk.ControlItem(
dcc.DatePickerRange(
id="orders-date-picker",
min_date_allowed=pd.to_datetime(
orders_history_data["ORDER_DATE"].min()
),
max_date_allowed=max_date,
initial_visible_month=max_date,
start_date=max_date - timedelta(days=700),
end_date=max_date,
),
),
ddk.ControlItem(
html.Button(
id="orders-select-all-rows",
children="Select all matching records",
style={"margin": "auto"},
n_clicks=0,
)
),
],
width=25,
style={"overflow": "scroll"},
),
ddk.Card(
width=75,
children=[
ddk.CardHeader(
children=[
html.Div(
"Combined Orders View", style={"float": "left"},
),
]
),
ddk.Block(
ddk.DataTable(
columns=[
{"name": i.replace("_", " ").title(), "id": i}
for i in orders_history_data.columns if (i not in remove_cols)
],
data=orders_history_data.sort_values(by="PHYSICIAN").to_dict("records"),
filter_action="native",
page_action="native",
page_size=50,
row_selectable="multi",
id="orders-history-data-table",
style_cell={'fontSize': 12, 'font-family': 'sans-serif'},
style_table = {'overflowX': 'auto'},
),
style={"overflow": "scroll"}
),
]
),
]
),
]
)
return children
def layout():
# load data for display
episodicdata = chart_utils.get_loaded_data("AXXESS_API.RAW.MEDICARE_MCRADV_VISITPLANNING_NOAUTH", "DATASET")
pervisitdata = chart_utils.get_loaded_data("AXXESS_API.RAW.MANAGEDCARE_VISITPLANNING_NOAUTH", "DATASET")
currentepisodic = chart_utils.get_loaded_data("AXXESS_API.RAW.VW_MEDICARE_MCRADV_VISITPLANNING_CURRENT_EPISODES","DATASET")
lupa_riskdata = chart_utils.get_loaded_data("AXXESS_API.RAW.VW_MEDICARE_MCRADV_LUPA_RISK", "DATASET")
#reorder the columns
'''
new_order = ['INS_CODE',
'INITIAL_TIMELY_FILING',
'MRN',
'PATIENT',
'PATIENT_STATUS',
'DATE_OF_BIRTH',
'EPISODE_START_DATE',
'EPISODE_END_DATE',
'PHYSICIAN_NAME',
'PHYSICIAN_PHONE',
'PHYSICIAN_FACSIMILE',
'ORDERS_DETAILS',
'CONSOLIDATED_COMMENTS',
'COLOR',
'USER_UPDATE_DATE',
'NEW_COMMENTS',
'EPISODE_UNEARNED_AMOUNT',
'EPISODE_EARNED_AMOUNT',
'EPISODE_BILLED_AMOUNT',
'EPISODE_ADJUSTMENTS'
]
'''
gl_mrn_arr = chart_utils.get_options(episodicdata, "MRN")
gl_ins_code_arr = chart_utils.get_options(episodicdata, "INS_CODE")
gl_patient_arr = chart_utils.get_options(episodicdata, "PATIENT")
gl_patient_status_arr = chart_utils.get_options(episodicdata, "PATIENT_STATUS")
gl_pcc_arr = chart_utils.get_options(currentepisodic, "CASE_MANAGER_NAME")
gl_lupa_risk_arr = chart_utils.get_options(currentepisodic, "LUPA_RISK")
remove_cols = ['INS_CODE', 'OASIS_STATUS', 'OASIS_DETAILS', 'EPISODE_PRIMARY_INSURANCE_NAME', 'DATE_OF_BIRTH',
'PHONE','PHYSICIAN_FACSIMILE', 'PHYSICIAN_NAME', 'PHYSICIAN_PHONE', 'ZIP', 'ORDERS_STATUS', 'ORDERS_DETAILS',
'EARLY_LUPA_RISK', 'LATE_LUPA_RISK', 'EARLY_ORIGINAL_PROSPECTIVE_PAY',
'LATE_ORIGINAL_PROSPECTIVE_PAY', 'TOTAL_COST', 'TOTAL_PROFIT', 'EARLY_COST', 'EARLY_PROFIT',
'LATE_COST', 'LATE_PROFIT', 'EPISODE_BILLED_AMOUNT', 'EPISODE_ADJUSTMENTS', 'EPISODE_EARNED_AMOUNT',
'EPISODE_UNEARNED_AMOUNT', 'SCHEDULE_ACTIVE', 'COMPLETED_VISITS', 'TOTAL_VISITS' , 'TOTAL_BILLABLE_HHA_VISITS'
]
max_date = pd.to_datetime(episodicdata['EPISODE_END_DATE']).max()
today = dt.now().date()
sixtydaysprior = today
sixtydaysprior += datetime.timedelta(days=-60)
#min_date = pd.to_datetime(episodicdata['EPISODE_END_DATE']).min()
children = html.Div([
# block on the right
ddk.Block(
width=100,
children=[
ddk.Row([
ddk.Block(
children=[
ddk.ControlCard(
orientation='horizontal',
width = 100,
children=[
ddk.ControlItem(
dcc.Dropdown(
options=gl_ins_code_arr,
multi=True,
placeholder="Select",
id="vp-ins-code-selector",
# value=["Not Yet Started", "Saved"],
style = {
'fontSize': 12,
'font-family': 'sans-serif',
}
),
width = 10,
label='Billing Code',
style={
'fontSize': 12,
'font-family': 'sans-serif',
}
),
ddk.ControlItem(
dcc.Dropdown(
options=gl_patient_arr,
multi=True,
placeholder="Select",
id="vp-patient-selector",
style = {
'fontSize': 12,
'font-family': 'sans-serif',
}
),
width=10,
label='Patient',
label_text_alignment='center',
style={
'fontSize': 12,
'font-family': 'sans-serif',
}
),
ddk.ControlItem(
dcc.Dropdown(
options=gl_mrn_arr,
multi=True,
placeholder="Select",
id="vp-mrn-selector",
style={
'fontSize': 12,
'font-family': 'sans-serif',
}
),
width =10,
label='MRN',
label_text_alignment='center',
style={
'fontSize': 12,
'font-family': 'sans-serif',
}
),
ddk.ControlItem(
dcc.Dropdown(
options=gl_patient_status_arr,
id="vp-patient-status-selector",
multi=True,
placeholder="Select",
value=['Active'],
style={
'fontSize': 12,
'font-family': 'sans-serif',
}
),
width = 10,
label = 'Patient Status',
label_text_alignment='center',
style={
'fontSize': 12,
'font-family': 'sans-serif',
}
),
ddk.ControlItem(
dcc.Slider(
id='vp-margin-slider',
min=-50,
max=100,
step=10,
marks={-50: '-50',
-40: '-40',
-20: '-20',
-10: '-10',
0: '0',
10: '10',
20: '20',
40: '40',
60: '60',
80: '80',
100: '100',
},
value=20,
),
width = 20,
label='Margin (%)',
label_text_alignment='center',
style={
'fontSize': 12,
'font-family': 'sans-serif',
}
),
ddk.ControlItem(
dcc.Dropdown(
options=gl_pcc_arr,
multi=True,
placeholder="select",
id="vp-case-manager-selector",
style={
'fontSize': 12,
'font-family': 'sans-serif',
}
),
width=10,
label='Case Manager',
label_text_alignment= 'center',
style={
'fontSize': 12,
'font-family': 'sans-serif',
}
),
ddk.ControlItem(
dcc.DatePickerRange(
id="vp-episode-picker",
min_date_allowed=pd.to_datetime(episodicdata['EPISODE_START_DATE'].min()
),
max_date_allowed=max_date,
initial_visible_month=max_date,
start_date=sixtydaysprior,
end_date=max_date
),
width = 20,
label='Episode Range',
label_text_alignment='center',
style={
'fontSize': 12,
'font-family': 'sans-serif',
}
),
ddk.ControlItem(
dcc.Dropdown(
options=gl_lupa_risk_arr,
multi=True,
placeholder="select",
id="vp-lupa-risk-selector",
style={
'fontSize': 12,
'font-family': 'sans-serif',
}
),
width=10,
label='LUPA RISK',
label_text_alignment='center',
style={
'fontSize': 12,
'font-family': 'sans-serif',
}
),
], )
]
),
]),
ddk.Row([
ddk.Card(
children=[
ddk.CardHeader(
title="VISIT PLANNING",
children=[
html.Div(
[
ddk.Modal(
id="vp-modal-btn-outer",
children=[
html.Button(
id="vp-expand-modal",
n_clicks=0,
children="Take action",
)
],
target_id="vp-modal-content",
hide_target=True,
style={"float": "right"},
),
ddk.Block(
id="vp-modal-content",
children=html.Div(id="vp-modal-div"),
style={
"width": "50%",
"margin": "auto",
"overflow": "scroll",
},
),
ddk.DataCard(
id='vp_episodic_selected_count',
value=currentepisodic.shape[0],
label='Episodic Selected Count',
style={
'fontSize': 12,
'font-family': 'sans-serif',
}
),
]
),
],
),
ddk.Block(
dcc.Tabs(id='tabs-example',
value='tab-1',
children=[
dcc.Tab(label='EPISODIC',
children=[generate_table_layout(episodicdata, "","vp_episodic-table", "MRN", remove_cols)]
),
dcc.Tab(label='PERVISIT',
children=[generate_table_layout(pervisitdata, "","vp_pervisit-table", "MRN", remove_cols)]),
]
),
)
]
),
]),
]
)
])
return children
ddk.ControlItem(children=[
dcc.Dropdown(
id="dropdown", options=iex.companies, value="AAPL"),
ddk.ControlItem(width=50,
children=[
dcc.DatePickerRange(
id="datepicker",
start_date="2015-01-01",
end_date="2016-01-01",
display_format="YYYY-MM-DD")
])
])
],
)),
ddk.Block(children=[
ddk.DataCard(id="dc1", width=25, label="Dividend Yield", value="-"),
ddk.DataCard(id="dc2", width=25, label="Peg Ratio", value="-"),
ddk.DataCard(id="dc3", width=25, label="Beta", value="%"),
ddk.DataCard(id="dc4", width=25, label="Country", value="-"),
]),
ddk.Block(children=[
ddk.Card(rounded=True,
children=[
ddk.Graph(
id="graph",
figure={
"data": [
go.Scatter(x=iex.get_prices(
"AAPL", "2015-01-01", "2016-01-01").index,
y=iex.get_prices(
"AAPL", "2015-01-01",
),
html.Div(id="Period-dropdown"),
html.Label('Dino Type', style={'fontSize':30, 'textAlign':'center'}),
dcc.Dropdown(id='display-type', options=[], multi=True, value=[]),
]
)
),
width=8,
),
ddk.Card(
width=24,
children=[
ddk.CardHeader(title='Total Fossils Found Across All Periods'),
ddk.DataCard(value=totalFossilsFounds,
style={'width':'fit-content'}),
]
),
# ddk.Card(
# width=24,
# children=[
# ddk.CardHeader(title='Total Fossils Found'),
# ddk.DataCard(
# id='total-fossils',
# value='',
# style={'width':'fit-content'}),
# ]
# ),
# ddk.Card(
# width=40,
]),
ddk.Block(width=70,
children=[
ddk.Row([
ddk.Card(width=50,
children=dcc.Markdown(
textwrap.dedent('''
Sed ut perspiciatis unde omnis iste natus
voluptatem accusantium doloremque laudantium,
totam rem aperiam, **expect similar results next week**
ab illo inventore veritatis et quasi architecto
beatae vitae dicta sunt explicabo.
'''))),
ddk.DataCard(value='1.17',
label='Power',
trace_x=ddk.datasets.timeseries().x1,
trace_y=ddk.datasets.timeseries().y1,
width=25),
ddk.DataCard(value='5.4',
label='Efficiency',
trace_x=ddk.datasets.timeseries().x2,
trace_y=ddk.datasets.timeseries().y2,
width=25),
]),
ddk.Card(width=100,
children=ddk.Graph(
figure={
'data': [{
'x': [1, 2, 3, 4],
'y': [4, 1, 6, 9],
'line': {
def layout():
# load data for display
authorizations_data = chart_utils.get_loaded_data("VW_AUTHORIZATIONS", "DATASET")
patient_status_arr = chart_utils.get_options(authorizations_data, "PATIENTSTATUS")
discipline_arr = chart_utils.get_options(authorizations_data, "DISCIPLINE")
auth_type_arr = chart_utils.get_options(authorizations_data, "AUTHORIZATION_TYPE")
payer_arr = chart_utils.get_options(authorizations_data, "PAYER")
patient_arr = chart_utils.get_options(authorizations_data, "PATIENT")
remove_cols = ['BRANCH','COLUMN_MAPPING', 'COLUMN_PARAMETERS' ]
max_date = datetime.now()
#pending_df = authorizations_data.loc[authorizations_data["DATA_SOURCE_ARRAY"].str.contains(r'authsPENDINGMDS', na=True)]
#history_df = authorizations_data.loc[authorizations_data["DATA_SOURCE_ARRAY"].str.contains(r'authsHISTORY', na=True)]
#tbs_df = authorizations_data.loc[ authorizations_data["DATA_SOURCE_ARRAY"].str.contains(r'authsTOBESENT', na=True)]
children = html.Div(
[
ddk.Row(
[
ddk.DataCard(
id='auths_patient_status_count',
value=12 ,#tbs_df.shape[0],
label = 'Patient Status Count'
),
ddk.DataCard(
id='auths_auth_type_count',
value=13,#pending_df.shape[0] ,
label='Authorization Type Count'
),
ddk.DataCard(
id='auths_total_count',
value=authorizations_data.shape[0] ,
label='Total Authorizations'
),
]
),
ddk.Row(
[
ddk.ControlCard(
[
html.Details(
[
html.Summary("About this app"),
html.P(
"""Select attributes to fine tune graphs and tables."""
),
]
),
ddk.ControlItem(
dcc.Dropdown(
options=auth_type_arr,
multi=True,
placeholder="Select Authorization Type",
id="auths-auth-type-selector"
# value=["Not Yet Started", "Saved"],
)
),
ddk.ControlItem(
dcc.Dropdown(
options=discipline_arr,
multi=True,
placeholder="Select Discipline",
id="auths-discipline-selector"
# value=["Not Yet Started", "Saved"],
)
),
ddk.ControlItem(
dcc.Dropdown(
options=patient_arr,
multi=True,
placeholder="Select Patient",
id="auths-patient-selector"
# value=["Not Yet Started", "Saved"],
)
),
ddk.ControlItem(
dcc.Dropdown(
options=patient_status_arr,
multi=True,
placeholder="Select Discipline",
id="auths-patientstatus-selector"
# value=["Not Yet Started", "Saved"],
)
),
ddk.ControlItem(
dcc.Dropdown(
options=payer_arr,
multi=True,
placeholder="Select Payer",
id="auths-payer-selector"
# value=["Not Yet Started", "Saved"],
)
),
ddk.ControlItem(
dcc.DatePickerRange(
id="auths-date-picker",
min_date_allowed=pd.to_datetime(
authorizations_data["START_DATE"].min()
),
max_date_allowed=max_date,
initial_visible_month=max_date,
start_date=max_date - timedelta(days=700),
end_date=max_date +timedelta(days=700),
),
),
ddk.ControlItem(
html.Button(
id="auths-select-all-rows",
children="Select all matching records",
style={"margin": "auto"},
n_clicks=0,
)
),
],
width=25,
style={"overflow": "scroll"},
),
ddk.Card(
width=75,
children=[
ddk.CardHeader(
children=[
html.Div(
"Combined auths View", style={"float": "left"},
),
]
),
ddk.Block(
ddk.DataTable(
columns=[
{"name": i.replace("_", " ").title(), "id": i}
for i in authorizations_data.columns if (i not in remove_cols)
],
data=authorizations_data.sort_values(by="START_DATE").to_dict("records"),
filter_action="native",
page_action="native",
page_size=50,
row_selectable="multi",
id="auths-history-data-table",
style_cell={'fontSize': 12, 'font-family': 'sans-serif'},
style_table = {'overflowX': 'auto'},
),
style={"overflow": "scroll"}
),
]
),
]
),
]
)
return children
def layout():
# load data for display
orders_history_data = chart_utils.get_loaded_data("VIEW_ORDERSHISTORY", "DATASET")
orders_pending_mds_data = chart_utils.get_loaded_data("VIEW_ORDERSMANAGEMENT_ORDERSPENDINGMDS", "DATASET")
orders_tobe_sent_data = chart_utils.get_loaded_data("VIEW_ORDERSTOBESENT", "DATASET")
max_date = datetime.now()
order_number_data = pd.concat(
[orders_history_data["ORDER_NUMBER"], orders_pending_mds_data["ORDER_NUMBER"],
orders_tobe_sent_data["ORDER_NUMBER"]])
physician_data = pd.concat(
[orders_history_data["PHYSICIAN"], orders_pending_mds_data["PHYSICIAN"],
orders_tobe_sent_data["PHYSICIAN"]])
ordertype_data = pd.concat(
[orders_history_data["TYPE"], orders_pending_mds_data["TYPE"],
orders_tobe_sent_data["TYPE"]])
patient_data = pd.concat(
[orders_history_data["PATIENT"], orders_pending_mds_data["PATIENT"],
orders_tobe_sent_data["PATIENT"]])
children = html.Div(
[
ddk.Row(
[
ddk.DataCard(
id='orders_tobe_sent_count',
value=orders_tobe_sent_data.shape[0],
label = 'To Be Sent'
),
ddk.DataCard(
id='orders_pending_mds_count',
value=orders_pending_mds_data.shape[0] ,
label='Pending MD Signature'
),
ddk.DataCard(
id='orders_history_count',
value=orders_history_data.shape[0] ,
label='Total Orders'
),
]
),
ddk.Row(
[
ddk.ControlCard(
[
html.Details(
[
html.Summary("About this app"),
html.P(
"""Select attributes to fine tune graphs and tables."""
),
]
),
ddk.ControlItem(
dcc.Dropdown(
options=[
{"label": orderstype, "value": orderstype}
for orderstype in sorted(
[
orderstype
for orderstype in ordertype_data.unique()
if orderstype
]
)
],
multi=True,
placeholder="Select Type",
id="orders-type-selector"
# value=["Not Yet Started", "Saved"],
)
),
ddk.ControlItem(
dcc.Dropdown(
options=[
{"label": physician, "value": physician}
for physician in sorted(
[
physician
for physician in physician_data.unique()
if physician
]
)
],
multi=True,
placeholder="Select Physician",
id="orders-physician-selector"
# value=["Not Yet Started", "Saved"],
)
),
ddk.ControlItem(
dcc.Dropdown(
options=[
{"label": patient, "value": patient}
for patient in sorted(
[
patient
for patient in patient_data.unique()
if patient
]
)
],
multi=True,
placeholder="Select Patient",
id="orders-patient-selector"
# value=["Not Yet Started", "Saved"],
)
),
ddk.ControlItem(
dcc.DatePickerRange(
id="order-date-picker",
min_date_allowed=pd.to_datetime(
orders_history_data["ORDER_DATE"].min()
),
max_date_allowed=max_date,
initial_visible_month=max_date,
start_date=max_date - timedelta(days=30),
end_date=max_date,
),
),
ddk.ControlItem(
html.Button(
id="orders_tob_esent-select-all-rows",
children="Select all matching records",
style={"margin": "auto"},
n_clicks=0,
)
),
],
width=30,
style={"overflow": "scroll"},
),
ddk.Card(
children=[
ddk.CardHeader(
children=[
html.Div(
"Table of selected tasks", style={"float": "left"},
),
]
),
ddk.Block(
ddk.DataTable(
columns=[
{"name": i.replace("_", " ").title(), "id": i}
for i in orders_history_data.columns if (i != 'BRANCH')
],
data=orders_history_data.sort_values(by="PHYSICIAN").to_dict("records"),
filter_action="native",
page_action="native",
page_size=50,
row_selectable="multi",
id="orders-history-data-table",
style_cell={'fontSize': 12, 'font-family': 'sans-serif'}
),
style={"overflow": "scroll"}
),
]
),
]
),
]
)
return children
