01 / Clinical Health Management
Finding patterns of disease associations can help identify population of patients potentially at risks.
ANIS (Anàlisis d'Informació Sanitària) helps understand the true complexity of the population to be served, for better prevention and clinical outcomes.
04 / Streamlining emergency departments
Crowding and excessive waiting times are a universal problem in emergency departments. APIS builds predictive models from your data to anticipate, starting at the triage point, the path that patients will follow, their major risks, and whether they will need hospitalization at the end of the day.
02 / Territorial Management
Agencies planning and funding territories, as well as multi-site organizations, need to understand how patients move across the system and how they use resources. ALOE helps them place the resources and efforts where they have maximum effect.
05 / A marketplace for hospital bed transfers
When a patient needs to be transfered to another hospital, professionals start a long, error-prone process of finding a suitable bed in collaborator centers. MINT is a smartphone app that lets them perform this process in a few clicks, reducing patient waiting time, staff burden, and administrative errors.
03 / Cost-analysis Management
A small percentage of users consumes most of the resources. Discovering their profiles, and catching before their requirements skyrocket, is usually not possible with traditional statistical tools. ACIS uses your data to forecast usage and suggest preventive care actions.
06 / Human-resource management
Managing human resources in healthcare is not an easy task, due to absenteeism, specialized roles, and unexpected work peaks.
ARUM (Anàlisi de Recursos Humans) helps you discover patterns in these behaviors to plan better and ahead.
Amalfi Analytics is a spinoff of the LARCA research group of
Universitat Politècnica de Catalunya (UPC)
CEO and scientific director
COO and medical director
Professor and coordinator of a research lab at UPC, with over 20 years of experience in Machine Learning and AI research and tech transfer.
Leads a team of data scientists and software engineers.
Physician and biologist, with over 25 years of experience in clinical management at all levels (hospital,primary, planning, data analysis). Leads a team of experts in clinical pharmacy, medicine, medical documentation, health economy, and innovation in healthcare.
CTO and software architect
Computer and Data Scientist, with experience in a IoT startup. He leads the technical development of high-quality, scalable, leading-edge technology products.
Tel: (+34) 665 321 426
Headquarters: Edifici MediaTIC, Mstartup space, floor 2
Roc Boronat 117
08018 Barcelona, Spain