Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How Generative AI Helps Predictive AI
 Originally published in Forbes, August 21, 2024 This is the...
4 Ways Machine Learning Can Perpetuate Injustice and What to Do About It
 Originally published in Built In, July 12, 2024 When ML...
The Great AI Myth: These 3 Misconceptions Fuel It
 Originally published in Forbes, July 29, 2024 The hottest thing...
Where FICO Gets Its Data for Screening Two-Thirds of All Card Transactions
 Originally published in The European Business Review, March 21,...
SHARE THIS:

CONTINUE READING: Access the complete article in InformationWeek, where it was originally published.  

8 years ago
Predictive Analytics, Wearables Data Driving EHR Growth

 

Electronic health records may not be new, but they are gaining strong adoption. That’s driven by trends such as integration with predictive analytics systems and telemedicine.

Healthcare providers have been investing in electronic health record (EHR) technology over the past several years, and the trend shows no sign of letting up. That’s according to a new report from market research firm Technavio that looked at the size of the market, its expected growth, and the trends that will impact it over the next several years.

The research firm is forecasting the global EHR market to grow at a compound annual growth rate (CAGR) of more than 5%, exceeding $28 billion by 2020.


Register using code PATIMES16 and receive 15% off conference passes.

“There is greater adoption of EHR in developed economies as compared to developing economies owing to the IT budget constraints in developing countries,” lead analyst Amit Sharma, wrote in a July 4 statement. “The adoption of EHR systems in the European healthcare IT market is increasing at an exponential rate so as to increase the quality of patient care.”

Technavio identified three big trends that are impacting the market and driving the growth of EHR. The first is the increased adoption of predictive analytics.

The research firm noted that predictive analytics integrated with EHR technology has led to emerging research opportunities.

For instance, one use-case is for medical teams to use predictive modeling technology integrated with cloud-based EHR solutions to monitor the spread of the flu in real-time and predict where the virus will spread next. In another implementation, the University of Colorado Health has implemented predictive analytics in EHR systems to increase the efficiency of operating rooms.

Health and Fitness Devices

Wearables and other health and fitness devices used by patients represent another area of growth for EHR and healthcare applications. Indeed, healthcare CIOs interviewed by InformationWeek have also said that data collection by fitness and other healthcare devices is a significant emerging trend for IT healthcare.

Connecting these devices with patient electronic health records could allow doctors and other medical providers to access health data including heart rate, glucose level, and cholesterol levels. Using the information gathered, doctors will have the most recent and relevant information about the patient in order to prepare electronic prescriptions based on the information gathered.

Technavio noted that Apple, Google, and Samsung have all created their own health and fitness applications and devices.

“The major challenge for vendors in the market will be to integrate EHR, telemedicine, and other IT systems of hospitals seamlessly and to make devices interoperable,” Sharma noted.

Author Bio:

Jessica Davis has spent a career covering the intersection of business and technology at titles including IDG’s Infoworld, Ziff Davis Enterprise’s eWeek and Channel Insider, and Penton Technology’s MSPmentor.

Leave a Reply