Category Archives: Big Data

The future of Clinical Trials: how AI & Big Tech could help drug development

new drug process(CB Insights) – Testing new drugs is a slow, expensive, and manual process. Artificial intelligence has the potential to disrupt every stage of the clinical trials process — from matching eligible patients to studies to monitoring adherence and data collection.

    The process is inefficient for other stakeholders too: drug trials average nearly a decade, costing up to billions of dollars. Many trials fail due to enrollment issues. The $65B clinical trials market needs a makeover.

clinical trial phases

Artificial intelligence is touted as the magic bullet for everything, and the technology could have huge potential for streamlining the clunky clinical trial process, from IoT for remote monitoring, to machine learning for EHR processing, to AI-based cybersecurity for data protection.

Click here for more…

Will wearable devices make us healthier?

the Economist - wearable devices(The ECONOMIST) – Health- and life-insurance companies seem to think wearable devices can actually make users healthier. They are increasingly underwriting the cost of a range of wearables, including devices from Fitbit, Garmin and Polar.

Aetna and UnitedHealthcare, two big American health insurers, recently created a plan that subsidised the cost of Apple’s pricey watch. Customers of other insurers willing to upload their movement data can obtain a discount on health or life insurance. The more active they are, the greater the financial reward.

    Yang Zheng, the boss of Ping An Health Insurance in Shanghai, says that 1.5m customers are already uploading activity data every day. But are these efforts any more than a gimmick? Wearables have long been a bit of a joke, with some complaining that their “time to drawer”—the time it takes for people to lose interest and abandon them—can be measured in months.

Click here for more…

eHealth Exchange selects InterSystems to support expansion

ehealth
InterSystems, a global leader in information technology platforms for health, business, and government applications, announced it has been selected by the eHealth Exchange and took the challenge.

The eHealth Exchange has unique roots and began as a federal program initiative under the Office of the National Coordinator for Health IT (ONC), which helped to incubate it as part of the NwHIN efforts. The eHealth Exchange is now supported by The Sequoia Project and has blossomed into a rapidly growing community of exchange partners.

Consider what happened with the DICOM protocol, radiology industry agreed the same image protocol to exchange radiological images through different platforms: High Resolution images flowing through the network, available also for post-processing tasks.
dicom-logo-e1479849233486

This harmonization generated a branch industry from scratch: Carestream, GE Healthcare, Philips as well as Siemens Healthineers: eHealth Exchange is doing the same, put in place a kind of standard to share healthcare information accordingly.

Thinking future applications, an enourmous amount of healthcare data could be used for analysis via Deep Learning AI (Artificial Intelligence) to identify inferences not visibile to humans: diseases clusterization, possible risk causes and trends, the applications could be incredible.

bridge-patient-portal

From a patient stand point, the advantage of a common health data protocol could be the possibility to access to any of the health information, collected in different facilities, avoiding any possible missing data: give to your own phisician access to your own data automatically, without taking old-fashioned CD could be fantastic.

I do think we’ll hear soon news from InterSystems whcih has the technological capabilities to reach the goal.