> For the complete documentation index, see [llms.txt](https://superhero.riafy.me/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://superhero.riafy.me/phase-1-deployed/why-collect-so-much-information-about-ambulances.md).

# Why collect so much information about ambulances?

Granular information helps the Superhero Network to determine which ambulance to deploy based on the patient's health condition - need for oxygen or ventilation etc.

*An estimated 50,000 people may need hospitalisation in Ernakulam district of Kerala. Total hospital bed capacity is just under 10,000 beds with around 3000 beds occupied by other patients.*

1. If the spread of COVID19 cannot be contained, transportation of patients would become a huge challenge.<br>
2. Critical patients may have to be transported to hospitals in other districts or air lifted across the state.<br>
3. Medical emergencies (other than COVID19) are expected to also elevate during this period.<br>
4. There are currently 70 ambulances registered within the Ambulance Network.<br>
5. Ambulances are going to become a precious resource, and dispatching based on the patient's health condition becomes crucial.\
   \
   Unlike normal scenario, the administrators cannot dispatch a Critical Care ambulance to a patient suffering from a relatively less dangerous medical emergency.<br>
6. The network also has Reserved Ambulances equipped to transfer COVID19 patients. Their drivers are trained to minimize contact and stay safe during the journey.<br>

| Ambulance feature | Generic words                                                                      | Medical term                                                                                                                                |
| ----------------- | ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------- |
| Defibrillator     | <p>Chest pain<br>On cardiac medication<br>Pacemaker kept<br>Cardiac history</p>    | <p>Ventricular fibrillation<br>Ventricular tachycardia<br>Cardiopulmonary arrest<br>Supraventricular tachycardia<br>Atrial fibrillation</p> |
| Oxygen            | <p>Breathing difficulty<br>Chest pain <br>Asthmatic<br>On inhaler<br>On oxygen</p> | <p>COPD patients<br>Cardiac arrest<br>MI<br>Acute pulmonary oedema</p>                                                                      |
| Suction Machine   | <p>Breathing difficulty<br>Chest-pain</p>                                          | <p>Acute pulmonary edema<br>Acute Bronchitis<br>Bronchiectasis<br>Pneumonia</p>                                                             |
| Ventilator        | <p>No response<br>Absent pulse<br>Absent breath sounds</p>                         | <p>Respiratory failure<br>Acute respiratory distress syndrome<br>Pneumonia<br>Congestive cardiac failure<br>Sepsis</p>                      |

## Use of information collected about ambulances

1. Granular data about all of the ambulances gives us the unique ability to dispatch a ambulance that is sufficient to safely transport a patient to the hospital based on his/her medical condition.<br>
2. Risk assessment system at panchayat levels can determine possible hotspots for a COVID19 outbreak. \
   \
   Using the information about the ambulances, we'll be able to determine which ones should be moved closer to these hotspots. This ensures that we can deploy critical care/reserved ambulances faster and save more lives.