in.pulse Long Covid
InovaHC's open innovation program, which aims to accelerate the technological development of startups through thematic challenges through which innovative solutions are co-developed. In this edition, carried out in partnership with the BID Lab, 4 solutions to combat Long Covid were tested at four HCFMUSP Institutes.
Challenge 1: Data collection, processing and analysis Challenge 2: Effective diagnostic protocol Challenge 3: Rehabilitation treatment for patient recovery Challenge 4: Treatment for patients with cognitive and psychiatric side-effects
Methodology applied in the program
Test conduct
Patient tests were carried out for each solution developed, in partnership with various specialized institutes at the HCFMUSP complex
IPq along with the startup PickCells
Parameter Analyzer (PPA) Platform developed for the web with interactive dashboard on Covid-19
CeAC along with the startup Agile Health Tech
Digital Browsing (Journey) WhatsAPP integrated platform with AI for patient targeting IMRea along with the startup Straloo Digital Rehabilitation
IMRea along with the startup Straloo
Digital Rehabilitation Mobile app with treatment protocols and patient monitoring
IPq along with the startup Metacognitiv
Cognitive Intervention (Fabulamente) Serious game designed to stimulate the executive functions of adult and elderly patients
Main Results
15K
data analyzed using technologies
275
patients tested the solutions at the Institutes
44
collaborators took part in the development of the pilots
The program has turned out to be highly effective in introducing innovative solutions that add value to patients' journeys and collaborators' routines, highlighting the legal instruments used, such as the Legal Framework for Startups, to enable the use of digital technologies in the hospital environment. In general, the initiatives have proved to be technically viable and embraced by users, with high potential for improvement and large-scale application.
Challenge 1:
Mapping of Long COVID symptoms with analysis of correlation between comorbidities and complications of the disease. Usability tests were carried out on the platform developed with 3 researchers.
Challenge 2:
A total of 168 patients with Long Covid symptoms were observed, leading to the creation of a predictive and diagnostic model for the disease
Challenge 3:
Of the included patients, 90% maintained a high rate of adherence to the digital rehabilitation program and had a good acceptance of remote monitoring
Challenge 4:
The Fabulamente 2 version meets the target audience for treatment of adults and the elderly suffering from cognitive aftereffects