Clinical Intelligence

This interdisciplinary research group aims to create a comprehensive digital solution for the continuum of care for surgical patients.

The goal is to create an artificial intelligence algorithm for optimizing patient flow without compromising patient safety. Clinical intelligence follows the patient from the general practitioner to hospital treatment and municipal rehabilitation. A central goal is to place the patient at the center of communication between the actors in the process. It can be relatives, general practitioner, physiotherapist, home nurse, social worker and medical staff at hospital. The patients will be monitored by sensor-based technology at home, and the patient's own registrations are minimized.

Meet our team

Project Lead

Ole Rahbek

Ole Rahbek, MD, PhD
Professor, Consultant

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Søren Kold

Søren Kold, MD, PhD
Professor, Consultant

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Dialogue

The dialogue team ensures communication between the hospital and the citizen via a mobile App.

Lili Worre Høpfner Jensen

Lili Worre Høpfner Jensen, BSN
PhD-student

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Tina Lyngholm Jensen

Tina Lyngholm Jensen
Research Nurse
Department of Orthopaedics, Aalborg
Aalborg University Hospital
E-mail: tina.jensen.1@rn.dk

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Sensor Technology

We are working to individualize patient treatment. The team is working on technologies that will be able to record heart rate, temperature, mobilization, joint mobility, sleep and signs of infection via activity trackers, digital patches and thermography. Data collection will predict when rehabilitation fails or if there are any complications to the surgery such as infection.

Shaoping Bai

Shaoping Bai, PhD
Professor
Aalborg University
Department of Materials and Production
E-mail: shb@mp.aau.dk

Ming Shen

Ming Shen, PhD
Associate Professor
Aalborg University
Department of Electronic Systems
Antennas, Propagation and Millimeter-Wave Systems (APMS) Section
E-mail: mish@es.aau.dk