Gianluca Fontana

ORCID: 0000-0002-8973-0012
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About
Contact & Profiles
Research Areas
  • Telemedicine and Telehealth Implementation
  • Mobile Health and mHealth Applications
  • COVID-19 and healthcare impacts
  • SARS-CoV-2 detection and testing
  • SARS-CoV-2 and COVID-19 Research
  • Electronic Health Records Systems
  • Healthcare Policy and Management
  • Health Policy Implementation Science
  • Simulation-Based Education in Healthcare
  • Patient Satisfaction in Healthcare
  • Medical Malpractice and Liability Issues
  • Healthcare Systems and Reforms
  • Ethics in Clinical Research
  • Global Maternal and Child Health
  • Non-Invasive Vital Sign Monitoring
  • Digital Mental Health Interventions
  • Biosensors and Analytical Detection
  • Respiratory Support and Mechanisms
  • Advances in Oncology and Radiotherapy
  • Artificial Intelligence in Healthcare
  • Clinical practice guidelines implementation
  • Chronic Disease Management Strategies
  • Business Strategies and Innovation
  • Meta-analysis and systematic reviews
  • Artificial Intelligence in Healthcare and Education

Imperial College London
2015-2023

Roche (Switzerland)
2022

Azienda Unita' Sanitaria Locale Di Modena
2021

University of Ljubljana
2021

Japan Society
2021

Inserm
2021

Sorbonne Université
2021

Centre de Recherche des Cordeliers
2021

Université Paris Cité
2021

Galicia Sur Biomedical Foundation
2021

Accurate antibody tests are essential to monitor the SARS-CoV-2 pandemic. Lateral flow immunoassays (LFIAs) can deliver testing at scale. However, reported performance varies, and sensitivity analyses have generally been conducted on serum from hospitalised patients. For use in community testing, evaluation of finger-prick self-tests, non-hospitalised individuals, is required.Sensitivity analysis was 276 participants. All had tested positive for by reverse transcription PCR were ≥21 days...

10.1136/thoraxjnl-2020-215732 article EN other-oa Thorax 2020-08-12

To evaluate the performance of new lateral flow immunoassays (LFIAs) suitable for use in a national coronavirus disease 2019 (covid-19) seroprevalence programme (real time assessment community transmission 2-React 2). Diagnostic accuracy study. Laboratory analyses were performed United Kingdom at Imperial College, London and university facilities London. Research clinics finger prick sampling run two affiliated NHS trusts. Sensitivity on sera stored from 320 previous participants React 2...

10.1136/bmj.n423 article EN cc-by BMJ 2021-03-02

With the onset of COVID-19, general practitioners (GPs) and patients worldwide swiftly transitioned from face-to-face to digital remote consultations. There is a need evaluate how this global shift has impacted patient care, healthcare providers, carer experience, health systems. We explored GPs' perspectives on main benefits challenges using virtual care. GPs across 20 countries completed an online questionnaire between June-September 2020. perceptions barriers were free-text questions....

10.1371/journal.pdig.0000029 article EN cc-by PLOS Digital Health 2022-05-16

Abstract Background This study assesses acceptability and usability of home-based self-testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies using lateral flow immunoassays (LFIA). Methods We carried out public involvement pilot testing in 315 volunteers to improve usability. Feedback was obtained through online discussions, questionnaires, observations, interviews people who tried the test at home. informed design a nationally representative survey adults...

10.1093/cid/ciaa1178 article EN cc-by-nc-nd Clinical Infectious Diseases 2020-08-06

Objectives To determine the safety and effectiveness of home oximetry monitoring pathways for patients with COVID-19 in English National Health Service. Design Retrospective, multisite, observational study suspected or proven COVID-19. Setting This analysed patient data from four pilot sites England across primary secondary care settings. Participants A total 1338 participants were enrolled a programme sites. excluded if oxygen saturations at rest enrolment not available. Data 908 included...

10.1136/bmjopen-2021-049235 article EN cc-by-nc-nd BMJ Open 2021-09-01

Objectives To explore whether hospitalisations for ambulatory care sensitive conditions (ACSCs) are associated with low access to primary care. Design Observational cohort study over 2008 2012 using the Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics (HES) databases. Setting English secondary Participants A random sample of 300 000 patients. Main outcome measures Emergency hospitalisation an ACSC. Results Over long term, patients ACSC had on average 2.33 (2.17...

10.1136/bmjopen-2016-015704 article EN cc-by BMJ Open 2017-08-01

There is a widely acknowledged time lag in health care between an invention or innovation and its widespread use across system. Much known about the factors that can aid uptake of innovations within discrete organizations. Less what needs to be done enable transform large systems care. This article describes results in-depth case studies aimed at assessing role key agents agencies facilitate rapid adoption innovations. The studies—from Argentina, England, Nepal, Singapore, Sweden, United...

10.1377/hlthaff.2015.0406 article EN Health Affairs 2015-12-01

Background In recent decades, virtual care has emerged as a promising option to support primary delivery. However, despite the potential, adoption rates remained low. With outbreak of COVID-19, it suddenly been pushed forefront As we progress into second year COVID-19 pandemic, there is need and opportunity review impact remote had in settings reassess its potential future role. Objective This study aims explore perspectives general practitioners (GPs) family doctors on (1) use during (2)...

10.2196/30099 article EN cc-by JMIR Research Protocols 2021-07-19

There is a growing need for alternative methodologies to evaluate digital health solutions in short timeframe and at relatively low cost. Simulation-based research (SBR) methods have been proposed as an methodology evaluating solutions; however, few studies described the applicability of SBR such solutions. This study used feasibility user experience clinical decision support (CDS) tool matching cancer patients trials. Twenty-five clinicians staff were recruited match 10 synthetic patient...

10.1177/14604582221087890 article EN cc-by-nc Health Informatics Journal 2022-04-01

The National Health Service (NHS) in England, UK, collects a huge amount of health-care data. It has one the most comprehensive, longitudinal patient-level datasets world. If properly utilised and connected, these data could have substantial effect on quality sustainability care lead to discoveries solutions that would benefit patients UK worldwide. However, NHS does not currently resources skills capture value its is investing strengthening own capabilities, as shown by launch Digital...

10.1016/s2589-7500(19)30225-0 article EN cc-by-nc-nd The Lancet Digital Health 2019-12-23

Abstract Simulation-based research (SBR) methods have been proposed as an alternative methodology for evaluating digital health solutions; however, applicability remains to be established. This study used SBR evaluate a clinical decision support (CDS) tool matching cancer patients trials. 25 clinicians and staff were recruited match 10 synthetic patient cases trials using both the CDS publicly available online trial databases. Participants significantly more likely report having sufficient...

10.1101/2021.05.30.21257718 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2021-06-01

Abstract Background With the onset of COVID-19, general practitioners (GPs) and patients worldwide swiftly transitioned from face-to-face to digital remote consultations. There is a need evaluate how this global shift has impacted patient care, healthcare providers, carer experience, health systems. Objective We explored GPs’ perspectives on main benefits challenges using care. Methods GPs across 20 countries completed an online questionnaire between June – September 2020. perceptions...

10.1101/2021.07.28.21261021 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2021-07-29

Coronavirus 2019 (COVID-19) has catalysed digital transformation in the health space. However, it remains a challenge to generate timely and cost-effective evidence for technologies (DHTs) ensure their safety efficacy. Traditional methods, such as randomised controlled trials (RCTs), are ill-suited assessing DHTs reasons of speed, agility, cost context. Clinical simulation using high-fidelity synthetic patient cases is emerging promising yet underexplored method evaluate DHTs. It offers...

10.7861/fhj.2022-0145 article EN Future Healthcare Journal 2023-06-27

Abstract Objectives To determine the safety and effectiveness of home oximetry monitoring pathways safe for Covid-19 patients in English NHS Design This was a retrospective, multi-site, observational study with suspected or proven Setting analysed patient data from four pilot sites North West London, Slough, South Tees Watford across primary secondary care settings. Participants 1338 participants were enrolled programme at one sites. excluded if oxygen saturations are rest enrolment not...

10.1101/2020.12.16.20248302 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2020-12-16

e13552 Background: Cancer clinical trials require matching patients to strict, and sometimes lengthy, eligibility criteria. NAVIFY Clinical Trial Match (CTM) is a digital solution that uses data on an individual patient’s condition, genomic alterations institution’s postal code automatically find suitable trials. We assessed the efficiency, accuracy cognitive burden of CTM cancer in UK. Methods: 10 clinicians (8 medical doctors, 2 trial practitioners) participated. Synthetic patient cases...

10.1200/jco.2021.39.15_suppl.e13552 article EN Journal of Clinical Oncology 2021-05-20

Abstract In healthcare, novel AI solutions are being created to address some of the biggest challenges in prognosis, diagnosis, and treatment disease, as well clinician workflows service improvement. The emergence generative presents a compelling opportunity revolutionize diagnostics, planning, medical research, patient engagement. hypothesized uses broad, ranging from education, providing information patients, generating synthetic data for validation tools, analysis continuous wearables...

10.1093/eurpub/ckae144.821 article EN cc-by-nc European Journal of Public Health 2024-10-28

ABSTRACT Background Quick, cheap and accurate point-of-care testing is urgently needed to enable frequent, large-scale contain COVID-19. Lateral flow tests for antigen antibody detection are an obvious candidate use in community-wide testing, because they quick relative lab-processed tests. However, their low accuracy has limited adoption. We develop a new methodology increase the diagnostic of combination cheap, inaccurate index with correlated or discordant outcomes, illustrate its...

10.1101/2021.06.15.21257351 preprint EN cc-by-nd medRxiv (Cold Spring Harbor Laboratory) 2021-06-16

e14063 Background: Simulation-based research (SBR) methods involve setting up structured scenarios to replicate real-world situations, with the aim of eliciting reactions and behaviours. SBR is useful for evaluation new healthcare solutions without compromising patient safety or navigating complex ethical review processes. However, there are few trials using digital health interventions (DHIs), adoption which has been hindered in NHS due a lack evidence-base their efficacy. could be an...

10.1200/jco.2020.38.15_suppl.e14063 article EN Journal of Clinical Oncology 2020-05-20
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