Transforming healthcare delivery with digital tools and AI

11 November, Thursday, 12:30 – 14:00

Hear about innovative programs, projects, and good practices from various organizations thru these lightning talks.

Health-Circuit: Digital health tool for personalised continuum of care management: Cluster randomized controlled trial
Presented by: Carmen Herranz
This study evaluates the potential of a digital health tool, Health-Circuit, for improving the management of complex chronic patients with risk of hospitalization, as well as the operational capacity of health teams in the community. The current study assesses the prototype, aiming at fostering patients’ self-efficacy and enhancing management of unplanned events, facilitating collaborative work across the system. The mHealth tool showed good usability score and high acceptance rate. The intervention group used less healthcare resources, increased patients’ empowerment and had better perception of continuity of care. Completeness of technological developments and large-scale assessment of Health-Circuit is encouraged. 

Development of an App to support clinical decision-making and promote the standardization of practice of pediatric nurses
Presented by: Ana Gil Carrasco
The presenters will talk about the E-pedia development project, an innovative App with support resources for the pediatric nurses’ practice, which provides tools and content based on scientific evidence for making clinical decisions and solving doubts.
E-pedia contains scales, algorithms, procedures, tables, images, videos and calculators, designed to permit the user to obtain information in an intuitive, agile and interactive way, offering updated and customizable content, with instant access at the bedside.
This project aims to promote evidence-based clinical practice and thus generate greater homogeneity, safety and quality of care for patient’s benefit.

Patient-centered care at Grup Mutuam with Ekon Health platform
Presented by: Fernando Leeson
Digital transformation is a key concept and a lever to boost the quality of services provided in the health sector and guide them properly.
Providing healthcare professionals with a comprehensive management tool with a patient-centric added value allows, in addition to covering clinical and care functions, a personal humanistic orientation for each patient and their “Preferences, Wishes and Values”.
Grup Mutuam has successfuly opted for Ekon Health solution to meet its functional and technical requirements: a Patient-centric tool that focuses on both individual patient and Clinical-Healthcare needs with an integral Patient Journey Map.

Impact of the implementation of an in-hospital multidisciplinary 3D planning Unit (4 years’ experience)
Presented by: Arnau Valls Esteve
In recent decades, disruptive technologies such as new medical imaging tools and 3D Printing (3DP) are impacting healthcare providing novel and personalized solutions for complex clinical treatments, improving resident training and surgery planning.
In some surgical services it begins to be gold-standard practice for certain complex interventions. Hospitals begin to integrate 3DP, moving manufacturing of medical devices from plant-to-bedside.
The presenters will share the experience, impact and results of the implementation of an in-house multidisciplinary 3D planning service in a tertiary specialized hospital and its implication in COVID-19: SJD Barcelona Children’s Hospital 3D4H Unit born in 2015.

Innovative UVC technology – decontamination solutions dedicated to hospitals & medical sectors
Presented by: Mateusz Grabka
Attendees will be provided with a comprehensive insight into the benefits of innovative UVC technology and its contribution to environmental microbiology safety within European healthcare sectors. Gain exposure to the latest high-level detailed analysis of ESKAPE pathogen laboratory testing undertaken through the use of UVC in 2021.
The presentation is highly beneficial and informative to those who manage infection prevention teams, epidemiologists, and professionals that have a direct interest in the reduction of hospital-acquired infections.

COVID-19 pandemic: Effect on patient utilization of telemedicine in Dubai Health Authority (DHA)
Presented by: Dr. Nouf Alnoon
Presenters will share their experience with telemedicine to provide care in Primary health care setting, the effect of the COVID-19 Pandemic on utilization of telemedicine and their experience, as well as future aspect of telemedicine utilization in Dubai.

How did we manage to start remote care process in few weeks?
Presented by: Dr. Paula Turunen
The presenters will share their experience. The key factors were strong external forcing factor (COVID-19) and multi-professional team which knew the needs of professionals, understood IT challenges and security requirements when planning the implementation. The timing was crucial and they were able to respond to the need quickly.

Telehealth adoption by international patients at a major US academic medical center during COVID-19
Presented by: Benjamin Seo
The majority of international patients traveling to the US, approximately 100,000 to 200,000 unique patients annually, are treated at major Academic Medical Centers (AMCs). With medical travel significantly disrupted by the pandemic, US AMCs have been working quickly to understand global telehealth regulations in order to maintain access for these patients. In this study, we examine the adoption of telehealth for international patients at Cedars-Sinai Medical Center (CSMC), a tertiary care 886-bed AMC located in Los Angeles, California that receives 2,300 unique international patients from over 100 countries annually.

Developing a tele-neonatology program in response to the COVID-19 Pandemic
Presented by: Simon Minford
Presenters will provide an overview of services and geography of the hospitals involved in the program, the problems they faced during the COVID lockdown, a walkthrough of initial tele-neonatology rapid implementation program, improvement of initial implementation with additional equipment, evaluation and insight from staff and families, video of a remote surgical consultation, and how to apply learning from this project to future challenges.

Artificial Intelligence-based predictive algorithm for strategic planning of surgical demand and compliance with waiting lists deadlines
Presented by: Dr. Juan A. Hueto-Madrid
Fitting resources and surgical capacity to demand at hospitals has been always a challenge in countries with universal healthcare systems with guaranteed waiting time for surgical procedures.
Is it possible to predict months in advance the evolution of demand and surgical waiting lists to make a proper allocation of sessions to departments?
We present ALBA, an AI and Machine Learning algorithms-based tool at the Catalan Institute of Health to manage waiting lists, prediction of surgical demand and the allocation of surgical resources at hospitals.

Enabling an Artificial Intelligence and machine learning infrastructure to improve patient care and outcomes by improving healthcare data analytics
Presented by: Luis Magalhaes
Attendees will learn the description of the development of an AI/ML infrastructure & the application of AI/ML learning models in a federated/local network. They will also understand how EHR-based patient data analytics can detect undiagnosed / misdiagnosed / rare disease patients. As well as discover how AI/ML technologies can enrich patient data and thereby support drug development and epidemiology.

Is informed consent necessary when using Artificial Intelligence as clinical decision support?
Presented by: Prof. Tom Balthazar
Artificial Intelligence (AI) can be used in different ways. During the diagnostic process it can help the physician to analyze data. During the therapeutic process AI can help the doctor to choose the best therapy.
A new question is if it is always necessary to inform the patient about the utilization of AI and to obtain his consent.
There is no doubt that a patient has a right to be informed about his health status and has to give his consent before starting a proposed treatment.
Does this change when Artificial Intelligence was used to support the decisional process?