diff --git a/app/gotify/migrations/0001_initial.py b/app/gotify/migrations/0001_initial.py
index caaa452..ea1335f 100644
--- a/app/gotify/migrations/0001_initial.py
+++ b/app/gotify/migrations/0001_initial.py
@@ -1,4 +1,4 @@
-# Generated by Django 4.2.3 on 2023-07-30 21:15
+# Generated by Django 4.2.3 on 2023-08-24 13:02
from django.conf import settings
from django.db import migrations, models
diff --git a/app/medwings/migrations/0001_initial.py b/app/medwings/migrations/0001_initial.py
index 5711d5c..30227c3 100644
--- a/app/medwings/migrations/0001_initial.py
+++ b/app/medwings/migrations/0001_initial.py
@@ -1,4 +1,4 @@
-# Generated by Django 4.2.3 on 2023-07-30 21:15
+# Generated by Django 4.2.3 on 2023-08-24 13:02
from django.conf import settings
from django.db import migrations, models
@@ -11,8 +11,8 @@ class Migration(migrations.Migration):
initial = True
dependencies = [
- migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('auth', '0012_alter_user_first_name_max_length'),
+ migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
@@ -31,7 +31,7 @@ class Migration(migrations.Migration):
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('recorded', models.DateTimeField(unique=True, validators=[medwings.validators.AbstractRecordValidator.recorded], verbose_name='Time at which measurement was taken')),
- ('value_celsius', models.DecimalField(decimal_places=2, max_digits=5, unique=True, validators=[medwings.validators.BodyTempRecordValidator.value_celsius], verbose_name='Body Temperature (°C)')),
+ ('value_celsius', models.DecimalField(decimal_places=2, max_digits=5, validators=[medwings.validators.BodyTempRecordValidator.value_celsius], verbose_name='Body Temperature (°C)')),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
),
diff --git a/app/medwings/models.py b/app/medwings/models.py
index b362247..4e787ab 100644
--- a/app/medwings/models.py
+++ b/app/medwings/models.py
@@ -27,7 +27,7 @@ class BloodPressureRecord(models.Model):
class BodyTempRecord(models.Model):
user = models.ForeignKey(User, on_delete=models.CASCADE)
recorded = models.DateTimeField(validators=[validators.BodyTempRecordValidator.recorded], unique=True, verbose_name="Time at which measurement was taken")
- value_celsius = models.DecimalField(max_digits=5, decimal_places=2, validators=[validators.BodyTempRecordValidator.value_celsius], unique=True, verbose_name="Body Temperature (\u00B0C)")
+ value_celsius = models.DecimalField(max_digits=5, decimal_places=2, validators=[validators.BodyTempRecordValidator.value_celsius], verbose_name="Body Temperature (\u00B0C)")
class HeartRateRecord(models.Model):
diff --git a/app/medwings/templates/medwings/index.html b/app/medwings/templates/medwings/index.html
index 155dafd..f5248e8 100644
--- a/app/medwings/templates/medwings/index.html
+++ b/app/medwings/templates/medwings/index.html
@@ -5,23 +5,21 @@
{% endblock title %}
{% block content %}
-
-
-
-
-
MedwingS
+
+
+
+
Welcome to
+
Medwings
+
The Mobile Early Deterioration Warning System
-
The Mobile Early Deterioration Warning System
- We understand that after receiving medical care, you may still have concerns about your health, particularly if you're at
- risk of sudden health changes.
- That's where we come in.
+ Welcome to Medwings, a pioneering research project at the intersection of medical science and technology.
+ With a focus on data-driven diagnostics, and cutting-edge medical devices, Medwings is committed to shaping the future of healthcare.
Our platform leverages smart medical sensor devices to keep track of your vital signs - such as heart rate,
- blood pressure, and body temperature - providing you and your healthcare team with a detailed and continuous
- picture of your health status.
+ blood pressure, and body temperature - providing you with a detailed and continuous picture of your health status.
{% if not request.user.is_authenticated %}
@@ -36,21 +34,19 @@
{% endif %}
- Our unique feature is the ability to calculate your Modified Early Warning Score (MEWS) from your vitals data.
- This system is used widely in healthcare settings to detect early signs of deterioration.
- Now, it is available for you, right in the comfort of your home or on the go.
-
-
+ Medwings has the ability to calculate your Modified Early Warning Score (MEWS) from your vitals data.
Prompted by periodic reminders, you'll be asked to take measurements which will be sent automatically to our platform.
Here, we calculate your MEWS and generate alerts if we detect an increased risk of health deterioration.
-
- While we take care of your monitoring needs, you can enjoy your daily activities with peace of mind, knowing that a
- dedicated team has your health in their sights.
- Stay in control of your health with us, your personal health guardian.
-
+ Stay in control of your health with us, your personal health guardian.
Welcome aboard!