Liliana Laranjo

Liliana Laranjo
The University of Sydney

MD MPH PhD

About

92
Publications
38,879
Reads
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1,918
Citations
Introduction
Liliana Laranjo (MD MPH PhD) is a Medical Doctor with a Master of Public Health from Harvard University, and a PhD in Health informatics. Liliana is a Research Fellow at the Centre for Health Informatics, Australian Institute of Health Innovation, at Macquarie University (Sydney, Australia). Her current research focuses on person-centred health informatics, online social networks, artificial intelligence, and behaviour change informatics.
Education
July 2011
Harvard University
Field of study
  • Program in Clinical Effectiveness
June 2010 - August 2013
Harvard School of Public Health
Field of study
  • Master of Public Health - Clinical Effectiveness
January 2001 - June 2007
Lisbon's Faculty of Medicine
Field of study

Publications

Publications (92)
Article
Full-text available
Objective: Our aim was to evaluate the use and effectiveness of interventions using social networking sites (SNSs) to change health behaviors. Materials and methods: Five databases were scanned using a predefined search strategy. Studies were included if they focused on patients/consumers, involved an SNS intervention, had an outcome related to...
Article
Background: Patients with type 2 diabetes mellitus (DM) have a central role in managing their disease, but the effective adoption of self-management behaviours is often challenging. Objectives: The main objective of this study was to assess the facilitators, barriers and expectations in the self-management of type 2 DM, as perceived by patients....
Article
Full-text available
Until recently, the medical record was seen exclusively as being the property of health institutions and doctors. Its great technical and scientific components, as well as the personal characteristics attributed by each doctor, have been the reasons appointed for that control. However, nowadays throughout the world that paradigm has been changing....
Article
Full-text available
Objectives To investigate the feasibility of the be.well app and its personalization approach which regularly considers users’ preferences, amongst university students. Methods We conducted a mixed-methods, pre-post experiment, where participants used the app for 2 months. Eligibility criteria included: age 18–34 years; owning an iPhone with Inter...
Article
Full-text available
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 to evaluate how this global shift has impacted patient care, healthcare providers, patient and carer experience, and health systems. We explored GPs’ perspectives on the main benefits...
Article
Full-text available
Background: Hypertension is the most common modifiable risk factor for cardiovascular diseases in South Asia. Machine learning (ML) models have been shown to outperform clinical risk predictions compared to statistical methods, but studies using ML to predict hypertension at the population level are lacking. This study used ML approaches in a datas...
Article
Social factors play a role in e-cigarette uptake, but Australian evidence is limited. This study evaluated associations between social factors and e-cigarette intention and use. Australian participants surveyed between March 2019 and July 2019 using a cross-sectional survey design, measuring e-cigarette intentions and use, and factors including sm...
Preprint
BACKGROUND Atrial fibrillation (AF) is an increasingly common chronic health condition in which integrated care, that is multidisciplinary and patient-centric, is recommended yet challenging to implement. Methods and analysis: CHAT-AF is a 6-month randomised controlled trial of adult patients with AF (n=385) allocated in a ratio 4:1 to AF-support o...
Article
Background: Atrial fibrillation (AF) is an increasingly common chronic health condition for which integrated care that is multidisciplinary and patient-centric is recommended yet challenging to implement. Objective: The aim of Coordinating Health Care With Artificial Intelligence-Supported Technology in AF is to evaluate the feasibility and pote...
Preprint
BACKGROUND Heart failure is one of the leading causes of hospitalisation, morbidity, and mortality in the world. Heart failure self-management is challenging and involves a set of self-care behaviours required to reduce the risk of deterioration, identify signs and symptoms of exacerbation, and avoid hospitalisation. Mobile applications (apps) have...
Article
Background: Mobile apps have the potential to support patients with heart failure and facilitate disease self-management, but this area of research is recent and rapidly evolving, with inconsistent results for efficacy. So far, most of the published studies evaluated the feasibility of a specific app or assessed the quality of apps available in ap...
Article
Background The use of telehealth interventions, such as the remote monitoring of patient clinical data (e.g. blood pressure, blood glucose, heart rate, medication use), has been proposed as a strategy to better manage chronic conditions and to reduce the impact on patients and healthcare systems. The use of algorithms for data acquisition, analysis...
Preprint
BACKGROUND Heart failure is a common cause of hospitalization and patient self-management is essential to avoid decompensation and readmissions. Mobile applications (apps) seem promising in supporting heart failure self-management. OBJECTIVE This study systematically reviews the evidence on the impact of heart failure self-management apps on healt...
Article
Background: Heart failure self-management is essential to avoid decompensation and readmissions. Mobile apps seem promising in supporting heart failure self-management, and there has been a rapid growth in publications in this area. However, to date, systematic reviews have mostly focused on remote monitoring interventions using nonapp types of mo...
Preprint
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 to evaluate how this global shift has impacted patient care, healthcare providers, patient and carer experience, and health systems. OBJECTIVE We explored GPs’ perspective...
Article
Background The success of electronic medical records (EMRs) is dependent on implementation features, such as usability and fit with clinical processes. The use of EMRs in mental health settings brings additional and specific challenges owing to the personal, detailed, narrative, and exploratory nature of the assessment, diagnosis, and treatment in...
Article
Speech summarization techniques take human speech as input and then output an abridged version as text or speech. Speech summarization has applications in many domains from information technology to health care, for example improving speech archives or reducing clinical documentation burden. This scoping review maps close to 2 decades of speech sum...
Preprint
Full-text available
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 to evaluate how this global shift has impacted patient care, healthcare providers, patient and carer experience, and health systems. Objective: We explored GPs' perspectiv...
Preprint
BACKGROUND The success of electronic medical records (EMRs) is dependent on implementation features, such as usability and fit with clinical processes. The use of EMRs in mental health settings brings additional and specific challenges, due to the personal, detailed, narrative, and exploratory nature of assessment, diagnosis, and treatment in this...
Preprint
Full-text available
BACKGROUND In recent decades, virtual care has emerged as a promising option to support primary care delivery. However, despite the potential, adoption rates remained low. With the outbreak of COVID-19, it has suddenly been pushed to the forefront of care delivery. As we progress into the second year of the COVID-19 pandemic, there is a need and op...
Article
Background: In recent decades, virtual care has emerged as a promising option to support primary care delivery. However, despite the potential, adoption rates remained low. With the outbreak of COVID-19, it has suddenly been pushed to the forefront of care delivery. As we progress into the second year of the COVID-19 pandemic, there is a need and...
Article
Given that the one-size-fits-all approach to mobile health interventions have limited effects, a personalized approach might be necessary to promote healthy behaviors and prevent chronic conditions. Our systematic review aims to evaluate the effectiveness of personalized mobile interventions on lifestyle behaviors (i.e., physical activity, diet, sm...
Article
Full-text available
Objective To determine the effectiveness of physical activity interventions involving mobile applications (apps) or trackers with automated and continuous self-monitoring and feedback. Design Systematic review and meta-analysis. Data sources PubMed and seven additional databases, from 2007 to 2020. Study selection Randomised controlled trials in...
Article
Issue addressed E‐cigarette awareness and use has increased globally, but little is known about the social factors that influence uptake in Australia. We explored the reasons why people started, continued and stopped using e‐cigarettes in Australia. Methods This was a qualitative study comprising 14 semi‐structured interviews with past and current...
Article
Full-text available
Background Smartphone apps, fitness trackers, and online social networks have shown promise in weight management and physical activity interventions. However, there are knowledge gaps in identifying the most effective and engaging interventions and intervention features preferred by their users. Objective This 6-month pilot study on a social networ...
Article
Full-text available
To inform the development of automated summarization of clinical conversations, this study sought to estimate the proportion of doctor-patient communication in general practice (GP) consultations used for generating a consultation summary. Two researchers with a medical degree read the transcripts of 44 GP consultations and highlighted the phrases...
Article
Full-text available
Objective: The study sought to understand the potential roles of a future artificial intelligence (AI) documentation assistant in primary care consultations and to identify implications for doctors, patients, healthcare system, and technology design from the perspective of general practitioners. Materials and methods: Co-design workshops with ge...
Preprint
Speech summarisation techniques take human speech as input and then output an abridged version as text or speech. Speech summarisation has applications in many domains from information technology to health care, for example improving speech archives or reducing clinical documentation burden. This scoping review maps the speech summarisation literat...
Research
Full-text available
This special issue invites submissions that feature original research on designing, developing and evaluating CAs for healthcare and well-being. These CAs aim at improving healthcare outcomes and services, and satisfy unique application needs (e.g., safety, trust, and user experience). A suitable submission must also demonstrate its relevance to AC...
Article
Full-text available
Background Healthy behaviors are crucial for maintaining a person’s health and well-being. The effects of health behavior interventions are mediated by individual and contextual factors that vary over time. Recently emerging smartphone-based ecological momentary interventions (EMIs) can use real-time user reports (ecological momentary assessments [...
Preprint
BACKGROUND Healthy behaviors are crucial for maintaining a person’s health and well-being. The effects of health behavior interventions are mediated by individual and contextual factors that vary over time. Recently emerging smartphone-based ecological momentary interventions (EMIs) can use real-time user reports (ecological momentary assessments [...
Article
Full-text available
Objective To evaluate the impact of sharing electronic health records (EHRs) with patients and map it across six domains of quality of care (ie, patient-centredness, effectiveness, efficiency, timeliness, equity and safety). Design Systematic review and meta-analysis. Data sources CINAHL, Cochrane, Embase, HMIC, Medline/PubMed and PsycINFO, from...
Article
Full-text available
Background: Having patients self-manage their health conditions is a widely promoted concept, but many patients struggle to practice it effectively. Moreover, few studies have analyzed the nature of work required from patients and how such work fits into the context of their daily life. Objective: This study aimed to review the characteristics of p...
Article
Objectives The aim of this study was to explore how e-cigarette users in Australia accessed e-cigarette information and advertising on social media platforms. Methods The mixed-methods study design included a survey and semi-structured interviews. Data were collected from March 2019 to July 2019 in Australia. Interviews were conducted following su...
Preprint
Diabetes mellitus is a leading cause of concern among non-communicable diseases worldwide, with its prevalence increasing every day. Studies have shown that it is possible to prevent type 2 diabetes in high risk people if they adopt a healthy lifestyle, such as exercising regularly, eating nutritious food and maintaining an ideal weight. Mobile app...
Preprint
Diabetes mellitus is a leading cause of concern among non-communicable diseases worldwide, with its prevalence increasing every day. Studies have shown that it is possible to prevent type 2 diabetes in high risk people if they adopt a healthy lifestyle, such as exercising regularly, eating nutritious food and maintaining an ideal weight. Mobile app...
Preprint
UNSTRUCTURED Effective behavior change interventions may require ongoing personalized support for users. Rapid developments in digital technology and artificial intelligence are giving rise to more advanced types of personalized interventions that can analyze large amounts of data to provide real-time, contextualized support. Despite growing resear...
Preprint
Full-text available
BACKGROUND Smartphone applications (apps), fitness trackers, and online social networks have shown promise in weight management and physical activity interventions. However, knowledge gaps remain regarding which are the most effective and engaging interventions, and what intervention features are preferred by their users. OBJECTIVE This 6-month st...
Article
Full-text available
We are all together in a fight against the COVID-19 pandemic. Chatbots, if effectively designed and deployed, could help us by sharing up-to-date information quickly, encouraging desired health impacting behaviors, and lessening the psychological damage caused by fear and isolation. Despite this potential, the risk of amplifying misinformation and...
Conference Paper
Full-text available
Conversational agents have increasingly been deployed in healthcare applications. However, significant challenges remain in developing this technology. Recent research in this area has highlighted that: i) patient safety was rarely evaluated; ii) health outcomes were poorly measured, and iii) no standardised evaluation methods were employed. The co...
Preprint
UNSTRUCTURED Objectives: To investigate the use, impact, and performance of remote monitoring algorithms across various types of chronic conditions. Methods: A literature search of MEDLINE complete, CINHAL complete, and EMBASE was performed using search terms relating to the concepts of remote monitoring, chronic conditions, and data processing alg...
Preprint
Full-text available
Background Bayesian modelling and statistical text analysis rely on informed probability priors to encourage good solutions. Objective This paper empirically analyses whether text in medical discharge reports follow Zipf’s law, a commonly assumed statistical property of language where word frequency follows a discrete power-law distribution. Meth...
Article
Full-text available
Background: Conversational agents (CAs) are systems that mimic human conversations using text or spoken language. Their widely used examples include voice-activated systems such as Apple Siri, Google Assistant, Amazon Alexa, and Microsoft Cortana. The use of CAs in health care has been on the rise, but concerns about their potential safety risks o...
Article
Full-text available
Background: The personalization of conversational agents with natural language user interfaces is seeing increasing use in health care applications, shaping the content, structure, or purpose of the dialogue between humans and conversational agents. Objective: The goal of this systematic review was to understand the ways in which personalization h...
Article
Context: E-cigarettes were introduced to support smoking cessation, but their popularity has increased among nonsmokers, challenging current perspectives on their safety and effectiveness as a public health intervention. The objective of this systematic review was to identify and synthesize current evidence on the influence of social factors on e-...
Article
Full-text available
Clinicians spend a large amount of time on clinical documentation of patient encounters, often impacting quality of care and clinician satisfaction, and causing physician burnout. Advances in artificial intelligence (AI) and machine learning (ML) open the possibility of automating clinical documentation with digital scribes, using speech recognitio...
Preprint
BACKGROUND Self-management (or self-care) is widely promoted but many patients struggle to practise it effectively. Moreover, few studies have analysed the nature and volume of work required from patients in self-care and how such work fits into the context of their daily life. OBJECTIVE To review the characteristics of patient work in adult patie...
Article
Full-text available
Background: Having patients self-manage their health conditions is a widely promoted concept, but many patients struggle to practice it effectively. Moreover, few studies have analyzed the nature of work required from patients and how such work fits into the context of their daily life. Objective: This study aimed to review the characteristics o...
Preprint
Full-text available
BACKGROUND Conversational agents (CAs) are systems that mimic human conversations using text or spoken language. Their widely-used examples include voice-activated systems like Apple Siri, Google Assistant, Amazon Alexa, or Microsoft Cortana. The use of CAs in healthcare has been on the rise, but concerns about their potential safety risks often re...
Preprint
BACKGROUND The personalization of conversational agents with natural language user interfaces is seeing increasing use in health care applications, shaping the content, structure, or purpose of the dialogue between humans and conversational agents. OBJECTIVE The goal of this systematic review was to understand the ways in which personalization has...
Article
Full-text available
Background: Recent advances in natural language processing and artificial intelligence have led to widespread adoption of speech recognition technologies. In consumer health applications, speech recognition is usually applied to support interactions with conversational agents for data collection, decision support, and patient monitoring. However,...
Preprint
BACKGROUND Recent advances in natural language processing and artificial intelligence have led to widespread adoption of speech recognition technologies. In consumer health applications, speech recognition is usually applied to support interactions with conversational agents for data collection, decision support, and patient monitoring. However, li...
Article
Although various methods have been developed to evaluate conversational interfaces, there has been a lack of methods specifically focusing on evaluating user experience. This paper reviews the understandings of user experience (UX) in conversational interfaces literature and examines the six questionnaires commonly used for evaluating conversationa...
Article
Full-text available
Objective The objective of this study is to characterize the dynamic structure of primary care consultations by identifying typical activities and their inter-relationships to inform the design of automated approaches to clinical documentation using natural language processing and summarization methods. Materials and Methods This is an observation...
Article
Full-text available
Background Despite many health benefits of physical activity, nearly a third of the world’s adult population is insufficiently active. Technological interventions, such as mobile apps, wearable trackers, and Web-based social networks, offer great promise in promoting physical activity, but little is known about users’ acceptability and long-term en...
Article
Full-text available
Mobile health (mHealth) technologies have increasingly been used in interventions to promote physical activity (PA), yet, they often have high attrition rates. Integrating social features into mHealth has the potential to engage users; however, little is known about the efficacy and user engagement of such interventions. Thus, the aim of this syste...
Article
Full-text available
Current generation electronic health records suffer a number of problems that make them inefficient and associated with poor clinical satisfaction. Digital scribes or intelligent documentation support systems, take advantage of advances in speech recognition, natural language processing and artificial intelligence, to automate the clinical document...
Article
Full-text available
The original version of the published Article contained an error in the spelling of the third Author’s name. “John Halamaka” has been changed to “John Halamka”. This has been corrected in the HTML and PDF version of the Article.
Article
Full-text available
Introduction Self-management is widely promoted but less attention is focused on the work required from patients. To date, many individuals struggle to practise self-management. ‘Patient work’, a concept that examines the ‘work’ involved in self-management, is an approach to understanding the tasks, effort, time and context from patient perspective...
Preprint
BACKGROUND Technological interventions such as mobile applications (apps), online social networks and wearable trackers have the potential to influence physical activity; yet, few studies have examined the efficacy of an intervention bundle combining these different technologies. OBJECTIVE To pilot test an intervention composed of a social network...
Article
Full-text available
Background Technological interventions such as mobile apps, Web-based social networks, and wearable trackers have the potential to influence physical activity; yet, only a few studies have examined the efficacy of an intervention bundle combining these different technologies. Objective This study aimed to pilot test an intervention composed of a s...
Article
Full-text available
Introduction: Management of diabetes mellitus is largely dependent on patients’ active participation in care. The ‘Patient Activation Measure 13’ assesses patients’ knowledge, skills, and confidence in self-care. We aimed to translate, culturally adapt, and validate the ‘Patient Activation Measure 13’ to Portuguese, in people with type 2 diabetes....
Chapter
Social media are a powerful means of communication among health-care professionals, patients and the public. Their use has been increasing steadily globally, transforming the way that people exchange information, interact and collaborate. Physicians are using more and more social networks to connect with broader audiences, communicate with their pa...
Article
Full-text available
Introduction Providing patients with access to electronic health records (EHRs) has emerged as a promising solution to improve quality of care and safety. As the efforts to develop and implement EHR-based data sharing platforms mature and scale up worldwide, there is a need to evaluate the impact of these interventions and to weigh their relative r...
Article
Full-text available
Objective: Our objective was to review the characteristics, current applications, and evaluation measures of conversational agents with unconstrained natural language input capabilities used for health-related purposes. Methods: We searched PubMed, Embase, CINAHL, PsycInfo, and ACM Digital using a predefined search strategy. Studies were include...