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Insight

03 Mar 2017: Digital Health

The Signify Innovator Series: St. Joseph Health

As part of our Innovator Series, Signify Research was able to meet up with Dr. Michael Marino, DO, MBA who is Chief, IS Operations/Clinical Systems, at St. Joseph Health, an Integrated Healthcare Delivery System. I spoke with Dr. Marino about how St. Joseph’s was pioneering the use of technology for patient engagement, population health management and telehealth.

Insight

15 Feb 2017: Digital Health, Healthcare IT

Initial Takeaways from PHM Vendor 2016 Financial Results

Many of the larger EHR vendors that are active in population health management have recently released their Q4 2016 and full year results, with more to follow shortly. Signify Research examines what we can take away so far.

Insight

15 Feb 2017: Healthcare IT, Medical Imaging

User-Specificity Key for Cloud Adoption in Imaging IT?

The quaint English phrase “Good things come to those who wait” is apt advice to industry stakeholders bullish on the adoption of cloud technology for imaging IT. After a decade of wholesale change to imaging IT, there is little evidence to show cloud adoption has progressed towards the mainstream. Yet, a growing array of cloud-based imaging IT solutions are now available and cloud is again being widely debated.

Insight

15 Feb 2017: AI in Healthcare, Healthcare IT, Medical Imaging

Deep Learning in Medical Imaging: A $300M Market by 2021

Deep learning will increasingly be used in the interpretation of medical images to address many long-standing industry challenges. This will lead to a $300 million market by 2021, according to a new report by Signify Research, an independent supplier of market intelligence and consultancy to the global healthcare technology industry.

Insight

27 Jan 2017: AI in Healthcare, Healthcare IT, Medical Imaging

Quantitative Imaging Market to Exceed $500M in 2021

The market for Quantitative Imaging Software1 comprises a wide range of software tools that provide automated measurements of anatomical structures, for various body sites and across multiple modalities. These tools vary in complexity, from tools that provide size measurements, to tools that provide more advanced metrics, such as perfusion analysis and texture analysis.

Insight

27 Jan 2017: Healthcare IT, Medical Imaging

Digging into GE & Philips Annual Results

Two of the largest global health technology vendors released their Q4 2016 and full year 2016 results in the last week. We dig into the key takeaways for both GE Healthcare and Philips Health Tech divisions.

Insight

27 Jan 2017: Digital Health

Time to Move Beyond Meaningful Use & MACRA

Meaningful Use targets set by the Centers for Medicare and Medicaid Services (CMS) have served a purpose in rapidly bringing patient engagement and population health management (PHM) to the forefront of the US healthcare industry.

Insight

10 Jan 2017: Healthcare IT

Significant Barriers Still Exist for Risk-Sharing Contracting

After the strongest hint yet from Prime Minister Theresa May that the U.K. will look to extract itself from the European Union (EU) single market (a so-called hard Brexit), it seems right to review early speculation on the outlook for medical imaging and healthcare IT.

Insight

10 Jan 2017: AI in Healthcare, Healthcare IT, Medical Imaging

Machine Learning in Radiology – Vendors Must Prove The ROI

Machine learning was undoubtedly one of the hottest topics in radiology last year, with a steady stream of academic research papers highlighting how machine learning, particularly deep learning, can outperform traditional algorithms or manual processes in certain use-cases.

Insight

19 Dec 2016: Healthcare IT, Medical Imaging

Back to the future: Top themes from RSNA 2016

Greeted with fiercely mild weather for late November/early December, the 102nd RSNA show already had the feel of being a bit different. Of course, there was the packed program of fascinating research and exhibition halls bursting with advanced imaging hardware and cutting-edge IT solutions. But there was also the growing feeling, perhaps spurred by the theme “Beyond Imaging,” that radiology is in a mode of transition.

Insight

08 Dec 2016: Healthcare IT, Medical Imaging

RSNA Imaging IT: Innovation Under The Surface

Probably the standout from RSNA is just how big imaging informatics and clinical data management has become at RSNA. Boths

Insight

08 Dec 2016: AI in Healthcare, Healthcare IT, Medical Imaging

RSNA: Deep Learning Takes Centre Stage, but Beware the Hype

Artificial Intelligence was undoubtedly one of the key themes at this year’s RSNA, featuring prominently on the exhibition floor and in several scientific sessions. At least 20 companies displayed products featuring AI technologies and a handful more used AI as a key part of their marketing messages, even if the use-case wasn’t entirely clear.

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