The Future of Connected Health Devices

The Future of Connected Health Devices
Health device makers, to date, have primarily targeted consumers who are either fitness focused or chronically ill. But between these two extremes sits a large, fragmented and often overlooked population who seek better information to effectively manage their health. Our research suggests that successful solution providers will approach this market opportunity as an ecosystem of partners - with an integrated solution that extends beyond the device itself. By plugging the information gap for these consumers, solution providers can help fuel healthcare innovation.

For some years now, medical device makers have provided products and services for consumers who are extremely health or fitness conscious as well as those who need to be regularly monitored because of a serious health risk. And they've been quite successful within these consumer segments. At the end of 2009, the size of the global medical device market was US$290 billion.

As impressive as this is, device makers are generally overlooking a far larger consumer segment that we call Information Seekers. These consumers are relatively healthy, but could use some help managing a health-related challenge. They are looking for solutions that can provide missing information to help them gain greater control over their conditions and ultimately lead healthier, more independent lives.

Download The Future of Connected Health Devices (.pdf, 1.949 KB).

Download from eHealthNews.eu Portal's mirror: The Future of Connected Health Devices (.pdf, 1.949 KB).

Most Popular Now

European Artificial Intelligence Act Com…

The European Artificial Intelligence Act (AI Act), the world's first comprehensive regulation on artificial intelligence, enters into force. The AI Act is designed to ensure that AI developed and used...

Patient Safety must be Central to the De…

An EPR system brings together different patient information in one place, making it easier to access for healthcare professionals. This information can include patients' own notes, test results, observations by...

Generative AI can Not yet Reliably Read …

It may someday be possible to use Large Language Models (LLM) to automatically read clinical notes in medical records and reliably and efficiently extract relevant information to support patient care...

ChatGPT Shows Promise in Answering Patie…

The groundbreaking ChatGPT chatbot shows potential as a time-saving tool for responding to patient questions sent to the urologist's office, suggests a study in the September issue of Urology Practice®...

Survey: Most Americans Comfortable with …

Artificial intelligence (AI) is all around us - from smart home devices to entertainment and social media algorithms. But is AI okay in healthcare? A new national survey commissioned by...

AI can Help Rule out Abnormal Pathology …

A commercial artificial intelligence (AI) tool used off-label was effective at excluding pathology and had equal or lower rates of critical misses on chest X-ray than radiologists, according to a...

AI Spots Cancer and Viral Infections at …

Researchers at the Centre for Genomic Regulation (CRG), the University of the Basque Country (UPV/EHU), Donostia International Physics Center (DIPC) and the Fundación Biofisica Bizkaia (FBB, located in Biofisika Institute)...

Video Gaming Improves Mental Well-Being

A pioneering study titled "Causal effect of video gaming on mental well-being in Japan 2020-2022," published in Nature Human Behaviour, has conducted the most comprehensive investigation to date on the...

New Diabetes Research Links Blood Glucos…

As part of its ongoing exploration of vocal biomarkers and the role they can play in enhancing health outcomes, Klick Labs published a new study in Scientific Reports - confirming...

Machine learning helps identify rheumato…

A machine-learning tool created by Weill Cornell Medicine and Hospital for Special Surgery (HSS) investigators can help distinguish subtypes of rheumatoid arthritis (RA), which may help scientists find ways to...

New AI Software could Make Diagnosing De…

Although Alzheimer's is the most common cause of dementia - a catchall term for cognitive deficits that impact daily living, like the loss of memory or language - it's not...

A New AI Tool for Cancer

Scientists at Harvard Medical School have designed a versatile, ChatGPT-like AI model capable of performing an array of diagnostic tasks across multiple forms of cancers. The new AI system, described Sept...