Diagnostikare: Operational efficiency increased by 39% with symptom checker
Diagnostikare, a provider that is disrupting the digital healthcare space in Mexico, proposed an entirely new method of access to health services for individuals via employers, pharmacy clinics, and insurance companies. By enhancing their platform with a symptom checker, an integral part of the patient journey, Diagnostikare reduced their number of unnecessary visits, improved their quality of visits, and increased their platform's operational efficiency by 39%.
Digital health platform
Diagnostikare’s key objectives
Personalized health services
- Understand patients’ needs before the medical consultation
- Provide appropriate tools and guidance for remote patients
Decision-support tools for doctors
- Equip doctors with initial patient data ahead of visits
- Ensure up-to-date patient information in EHR systems
Flexible approach to business models
- Ability to create a centralized base of health solutions
- Base solution adaptable to a variety of health-related sectors
The solution: Digital health platform with integrated symptom checker
The digital health platform built by Diagnostikare is based on three important elements: artificial intelligence, data, and healthcare professionals. They are the key drivers of the platform’s accessibility, accuracy, and optimization. Users can initially analyze their health and get quality, trustworthy guidance at any time, day or night. The accuracy of the inference engine compared with the final diagnosis determined by Diagnostikare’s physicians reaches 85%. The next steps suggested by the symptom checker match users’ actual conditions.
While Diagnostikare offers a variety of digital health services, its platform proposes two key user journeys: first, interacting with a symptom checker, then a booking system. It leads users through a personalized health checkup that collects basic health information and translates the data into a triage level. The same information populates Diagnostikare´s healthcare back office and EHR and is available in the doctor’s panel.
Note: The information in the images shown is simulated, random information.
This basic user flow can be attached to multiple types of organizations—healthcare providers, employee benefits, insurance companies, and pharmacy clinics. Users can enter Diagnostikare’s platform with tier-based or subscription models.
The technology: Infermedica API
Diagnostikare has decided to build its health platform with the support and use of Infermedica API. Leveraging the capacities of our API gave Diagnostikare flexible access to an inference engine and a variety of features of Infermedica’s platform. With these perks, plus the involvement of engineers, data scientists, and health professionals, Diagnostikare can effectively analyze their patients’ symptoms, see a list of possible conditions, and triage levels.
Additional custom solutions we implemented
- Patient records updated with information obtained with the symptom checker
- GPs presented with patient information and the most probable conditions to support their clinicians during the visits
- Ability to match triage level and patient’s acuity within the booking system, so the patients presenting with higher triage levels can be connected to general practitioners more quickly
Outcomes with the symptom checker
Since its launch, Diagnostikare’s symptom checker has been used over 20,000 times. It provided patients with initial information, connected them to relevant medical services, and helped physicians to deliver better care. Possible conditions proposed by the inference engine matched final diagnoses by physicians in 85% of cases.
As the symptom checker is mandatory for every user entering Diagnostikare’s health platform, it strongly influences patient flow and organizational efficiency. Access to patient information helped shorten the average visit time from 20 to 12.5 minutes. It also helped Diagnostikare limit unnecessary visits. Users who are not yet sure if they should consult with a physician are asked to fill in the symptom checker first. Only 20–30% of those users decided to then schedule a visit, creating more room for other patients and helping Diagnostikare scale up its services.
The information provided by the symptom checker allowed Diagnostikare to achieve a 39% increase in operational efficiency measured as the average time from patient intake to closing the patient case. This outcome is directly related to the symptom assessment and triage level mapping, thanks to which urgent patients can be consulted in just 15 minutes and those with mild symptoms within 1 to 3 hours.
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