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

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

Two Artificial Intelligences Talk to Eac…

Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

AI-Based App can Help Physicians Find Sk…

A mobile app that uses artificial intelligence, AI, to analyse images of suspected skin lesions can diagnose melanoma with very high precision. This is shown in a study led from...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Researchers Develop Deep Learning Model …

Researchers have developed a new, interpretable artificial intelligence (AI) model to predict 5-year breast cancer risk from mammograms, according to a new study published today in Radiology, a journal of...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...