Samuel Gluck

Samuel Gluck

Adelaide Medical School

Faculty of Health and Medical Sciences


I am interested in the using patient own technology in the automatic measurement of patient function. We have developed a smartphone app that remotely reports participants step and GPs data wirelessly. We have been using this technology to define activity and participation in several different populations while advancing the technology.

While its limited as an outcome measure due to limited smartphone ownership in elderly, hospital populations we are now exploring the possibility of using the step and GPS data to improve risk prediction. We are focusing on hospital readmission and peri-operative risk. Hoping not only to improve the risk prediction of mortality and readmission but to provide the patient with an individualised anticipated recovery profile using patient centred outcomes, like time spent active or time spent at home.

Use of step and location data to predict readmission to hospital and patient centred long-term outcomes in patients with heart failure

Patients with heath failure are frequently admitted to hospital. While we can predict which patients will get readmitted within a 12 month period with relative accuracy, predicting when exactly this will happen is currently not possible.  By using patients own smartphones and an app with have created we believe that it will be possible to detect when the patient is walking less, with reduced cadence and spending more time at home. We believe this data  can be used to predict, more accurately when the patient will be admitted to hospital. We aim to recruit 200 patinets with known hearth failure and monitor them over a 12 month period and examine the data in a machine  learning environment to discover what elements of this data more accurately predict readmission.

 

The use of step and GPS data to predict readmission and patient centred long-term outcomes in patients admitted under general medicine

Patients admitted under general medicine have a 30% chance of being readmitted to hospital within 1 year. While we can predict which patients will get readmitted within a 12 month period with relative accuracy (ROC>0.9),  predicting when exactly this will happen is currently not possible.  By using patients own smartphones and an app with have created we believe that it will be possible to detect when the patient is walking less, with reduced  cadence and spending more time at home. We believe this data can be used to predict, more accurately when the patient will be admitted to hospital. We aim to recruit 300 patients admitted under general medicine at the  RAH.

 

The feasibility of using a smartphone app to predict preoperative outcomes.

We are also recruiting 500 patients to a study to assess the feasibility of using smartphone data to improve the accuracy of the prediction of number of hospital free days at 90 days.

 

 

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  • Appointments

    Date Position Institution name
    2017 ICU Registrar Royal Adelaide Hospital, Adelaide
    2016 Senior Clinical Lecturer University of Adelaide, Adelaide
    2016 - 2017 ICU Registrar Flinders Medical Centre, Bedford Park
    2016 Associate Lecturer is Simulation University of Adelaide, Adelaide
    2016 - 2016 Lecturer University of South Australia, Adelaide
    2015 - 2016 ICU Senior Registrar Royal Adelaide Hospital, Adelaide
    2015 - 2015 Retrieval Registrar South Australia Ambulance Service
    2014 - 2015 ICU Senior Registrar Royal Adelaide Hospital, Adelaide
    2013 - 2015 ICU Registrar Royal Adelaide Hospital, Adelaide
    2010 - 2012 Core Trainee ACCS Anaesthetics Portsmouth Hospitals NHS Trust, Portsmouth
    2008 - 2009 Foundation Trainee Health and Social Security
  • Education

    Date Institution name Country Title
    2001 - 2008 University of Cambridge, Cambridge United Kingdom MB (Bachelor of Medicine)
    2001 - 2008 University of Cambridge, Cambridge United Kingdom BChir (Bachelor of Surgery)
    2001 - 2008 University of Cambridge, Cambridge United Kingdom MA (Master of Arts)
    2001 - 2004 University of Cambridge, Cambridge United Kingdom BA (Bachelor of Arts)
  • Postgraduate Training

    Date Title Institution Country
    MRCA(UK) Royal College of Anaesthetists (UK) United Kingdom
  • Research Interests

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  • Committee Memberships

    Date Role Committee Institution Country
    2019 - ongoing Representative Australia and New Zealand Intensive Care Society - Novice Investigator Group ANZICS Australia
    2016 - ongoing Member South Australia Salaried Medical Officiers Council SASMOA Australia

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