Big data in Digital Healthcare: Lessons Learnt and Recommendations for General Practice

The authors of this article propose recommendations for guidelines and regulations of data use in healthcare centering on the creation of a unique global patient ID that can integrate data from a variety of healthcare providers. In addition, they expand upon the topic by discussing potential pitfalls of Big Data such as the lack of diversity in Big Data research, and the security and transparency risks posed by machine learning algorithms.

Source: Asian Development Bank

Date of Publication: February 21, 2023

Gender Equality and Big Data

This report provides background context on how big data can be used to facilitate and assess progress towards SDG 5 “Achieve gender equality and empower all women and girls”. It examines successes and challenges in the use of big data to improve the lives of women and girls and identifies concrete data innovation projects that have considered the gender dimension from across the development sector.

Last modified: February 21, 2023

Language: English

Source: UN Women

Year of Publication: 2018

Integrating Big Data into the Monitoring and Evaluation of Development Programs

This report provides guidelines for evaluators, evaluation and program managers, policymakers, and funding agencies on how to take advantage of the rapidly emerging field of big data in the design and implementation of systems for monitoring and evaluating development programs. The report draws on interviews conducted with a sample of international development experts from UN agencies, bilateral aid agencies, multilateral development banks, and civil society, as well as data analysts specializing in development applications. It also draws on a review of the existing literature as well as active participation in a number of recent conferences and workshops related to the use of new data sources.

Last modified: February 21, 2023

Language: English

Source: UN Global Pulse

Year of Publication: 2016

The State of Mobile Data For Social Good Report

This report outlines the value of harnessing mobile data for social good and provides an analysis of the gaps. Its aim is to survey the landscape today, assess the current barriers to scale, and make recommendations for a way forward. The report reviews the challenges the field is currently facing and discusses a range of issues preventing mobile data from being used for social good. These challenges come from both the demand and supply side of mobile data and from the lack of coordination among stakeholders.

Last modified: February 21, 2023

Language: English

Source: UN Global Pulse, GSMA

Year of Publication: 2017

Harnessing Big Data for Social Good: A grand challenge for social work

This article looks at how Big Data can be used in social work and how to build the capacity to deploy such digital resources to discover and apply social solutions to benefit society. The Grand Challenges for Social Work are designed to focus a world of thought and action on the most compelling and critical social issues of our day. Each grand challenge is a broad but discrete concept where social work expertise and leadership can be brought to bear on bold new ideas, scientific exploration, and surprising innovations.

Last modified: February 21, 2023

Language: English

Source: American Academy for Social Work and Social Welfare

Year of Publication: 2015

Data mining can play a critical role in COVID-19-linked mental health studies

This research examines data mining as an emerging technique in COVID-19-linked mental health studies. It presents two common data mining-based techniques with empirical examples to prove their merits in assisting mental health research. The techniques are a text-mining approach and the analysis of Internet search behaviors.

Last modified: February 21, 2023

Language: English

Source: Asian Journal of Psychiatry

Year of Publication: 2020

Big Data and Positive Social Change in the Developing World: A White Paper For Practitioners and Researchers

This white paper was produced by a group of activists, researchers, and data experts who met at the Rockefeller Foundation’s Bellagio Centre to discuss the question of whether, and how, big data is becoming a resource for positive social change in low- and middle-income countries (LMICs). The authors focus on the uses of big data in LMICs in ways that are locally driven and locally relevant for societal processes. The working definition of big data in the paper includes but is not limited to, sources such as social media, mobile phone use, digitally mediated transactions, online news media, and administrative records.

Last modified: February 21, 2023

Language: English

Source: Rockefeller Foundation

Year of Publication: 2014

Applying Big Data Methods to Understanding Human Behavior and Health

This article explores the role that Big Data methods can play in understanding human behavior and health. It specifically looks into its application in psychology. In this paper, the authors describe how machine learning methods such as clustering and deep learning can be applied to big datasets to solve complex psychological problems.

Last modified: February 21, 2023

Language: English

Source: Frontiers in Computational Neuroscience

Year of Publication: 2018

Harnessing the Potential of Big Data in Post-Pandemic Southeast Asia

This report explores the potential of Big Data applications and opportunities in three public service sectors of post-pandemic Southeast Asia—health care, social protection and assistance, and education. It provides policymakers with a baseline to understand the scope of policy options available in their pursuit of economic recovery. There is still much uncertainty on timing, particularly as the trajectory of the pandemic i.e., new COVID-19 mutations remain unclear and countries await the development and distribution of more vaccines. While COVID-19’s impact on Southeast Asia has been significant, the report provides hope.

Last modified: February 17, 2023

Language: English

Source: Heredity

Year of Publication: 2022

Liberia Interpersonal Communication and Counseling Curriculum

To be effective and trusted, health providers must show empathy and the ability to effectively communicate with their clients. Technical competence plays a large role in delivering high-quality care; however, additional factors identified as affecting the quality of care delivered by health providers include their communication skills, values, beliefs, attitudes, knowledge, perceptions of their role, social and workplace norms, structural context, and level of supervision.

The interpersonal communication and counseling (IPCC) curriculum was developed by a multidisciplinary team from the Liberia Ministry of Health (MOH) along with its national and international development partners and in collaboration with Breakthrough ACTION Liberia. This IPCC curriculum focuses on building skills related to communication, empathy, and compassion in order to support service providers in delivering more effective and responsive care. Building a service provider’s communication and counseling skills will lead to a better understanding of a client’s perspective, improved relationships between providers and clients, and ultimately, a greater sense of trust and confidence in the health system.

This training manual is designed for health providers who are in contact with clients at health facilities in Liberia. It is an interactive training manual that teaches counseling, communication, and motivation skills using hands-on practices such as problem-solving, post-training coaching and mentorship, self-reflection, peer review, and visual reminders. These approaches aim to build skills that will promote health provider empathy for clients, improve client-provider interaction, client experience, quality of care and ultimately improve health outcomes.

Curriculum Resources

Source: Johns Hopkins Center for Communication Programs

Date of Publication: February 15, 2023