Emerging mHealth: Paths for Growth

In developing this report, commissioned by PwC, the Economist Intelligence Unit conducted two surveys in ten countries: Brazil, China, Denmark, Germany, India, South Africa, Spain, Turkey, the UK and the US. The first survey asked 1,027 patients - with a broad distribution of economic backgrounds, ages, levels of education and states of health - about their opinions on various aspects of mHealth. The second survey queried 433 doctors and 345 executives from payer organisations. The respondents in the doctor group were drawn from the public sector (46%) and the private sector (49%) or were independent physicians (5%). The group is more urban (67%) than suburban (24%) or rural (10%), with 45% practicing in primary care, 45% in secondary care and 10% in tertiary care. The executives from payer organisations responding to the survey are roughly evenly divided between the public and the private sector, with 55% C-suite or above.

In addition, the research included extensive desk research and 20 in-depth interviews of senior executives from healthcare providers and payers, technology and telecommunications companies and industry organisations, as well as leading experts from academia, think-tanks and non-governmental organisations.

Finally, the EIU commissioned internal reports on mHealth for nine of the countries covered by the survey from its country experts.

Download: Emerging mHealth: Paths for Growth (.pdf, 1.974 KB).

Download from eHealthNews.eu: Emerging mHealth: Paths for Growth (.pdf, 1.974 KB).

Most Popular Now

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

Northern Ireland Completes Nationwide Ro…

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality. An ambitious technology project to...

Highland Marketing Announced as Official…

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Groundbreaking TACIT Algorithm Offers Ne…

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment...

The Many Ways that AI Enters Rheumatolog…

High-resolution computed tomography (HRCT) is the standard to diagnose and assess progression in interstitial lung disease (ILD), a key feature in systemic sclerosis (SSc). But AI-assisted interpretation has the potential...