Laparoscopic surgeries are often automatically recorded from the point of view of the endoscope’s lens. This is thanks to built-in recording equipment that accompanies many commercial endoscopic systems. What isn’t easy is reviewing all those hours of footage to find something that may be useful for training clinicians or that may be used to improve […]
Tag: Informatics
Cloud Tech for Life Sciences Research: Interview with Kara Dennis, Managing Director of mHealth at Medidata Solutions
Medidata Solutions is a global provider of cloud-based technology and data analytics for clinical research. They work with a variety of life sciences clients who conduct studies to gather, store and analyze data to help assess the safety and efficacy of their products before bringing them to market. Amassing and securely storing the enormous amounts […]
Artificial Intelligence Helps Improve MRI Imaging of Strokes
High resolution MRI scans of the brain can take around thirty minutes to perform, but in the case of a stroke this can be much too long to wait. Typically, if MRI is used, a stroke patient is rushed through so that fewer imaging slices are taken, resulting in a much lower quality image. Compared […]
VoxelCloud Automated Medical Image Analysis: Interview with Xiaowei Ding, CEO of VoxelCloud
VoxelCloud, a startup based out of Los Angeles and with a presence in Suzhou and Shanghai, China, has developed a suite of artificial intelligence and cloud computing technologies to assist doctors in interpreting medical images. The technology provides fully automated medical imaging analysis, and can be used with various imaging techniques, such as computed tomography […]
Augmented Reality System to Help Understand Medical Conditions and Assist in Patient Education
At the Birmingham City University in the United Kingdom researchers are working on an augmented reality system that would help clinicians manipulate and interact with patient imaging scans, related anatomical models, and data from electronic medical records. Many practical use cases for this technology is envisioned, including helping to relay to patients the effects of their […]
Using Watson to Diagnose Skin Cancer: Interview with IBM Computer Vision Scientist, Noel Codella
With an approximate 100,000 people in the US diagnosed with melanoma each year and a total of 5 million diagnosed with a variety of other skin cancers, a lot of research has gone into improving current methods of early detection and speeding up diagnoses. Unfortunately, in addition to a highly-trained pair of eyes and significant […]
PerfectLum on Dell’s Ultrasharp UP3017 Monitor FDA Cleared for Diagnostic Use
QUBYX, a Wilmington, Delaware-based company that develops computer monitor calibration tools, has received FDA clearance for its PerfectLum system to be used with the 4K Dell Ultrasharp UP3017 display for viewing DICOM images, including basing diagnoses off of them. The package can be purchased as one, which includes the monitor, PerfectLum software, and an X-Rite i1 […]
Interview: Momentum Software Links Trained Responders with Nearby Medical Emergencies
The progress of emergency medicine and the technology that’s inside of modern ambulances helped to save millions of people around the world. Yet, in many cases the response time to acute life threatening situations is still too long, with too many people dying that could have been rescued. Modern technologies, such as automatic stoplight signaling, are […]
Infervision’s Artificial Intelligence Software Detects Suspected Tumors on Standard Imaging Scans
Infervision, a Chinese company, has been integrating deep learning artificial intelligence to the practice of radiology in order to improve the detection rates of early stage tumors. The technology relies on analyzing tens of thousands of X-rays and CT scans that have been used to perform a diagnosis and to use that base of knowledge […]
Health Datapalooza 2017 Day 2: Consumer Tech Ecosystems, Healthcare Policy and Two Big RWJF Announcements
Ensuring that a conference discussing health did indeed practice what it preached, day two of this year’s Health Datapalooza got off to an early start with a Stride Health-sponsored 3 and 5 mile fun run. Back at the conference venue, the day’s content began on the main stage with Dr. Mark McClellan, Director of the Duke […]
DELTA Software Improves Detection of Safety Differences in Medical Devices: Interview with Dr. Frederic Resnic
Researchers are solving the issue of chronic underreporting of medical device adverse events. In the New England Journal of Medicine last month, they described their use of DELTA (Data Extraction and Longitudinal Analysis), a statistics software that prospectively monitors safety events stored in registries and databases. Moving forward from the current voluntary reporting method by physicians and patients, […]
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Neural Network Learns to Diagnose Congenital Catracts
In two newly published studies in Nature Biomedical Engineering, researchers trained a neural network to diagnose congenital cataracts with the same level of accuracy as individual ophthalmologists. Congenital cataracts is a rare disease that results in clouding of the eye’s lens and is responsible for about 10% of childhood vision loss worldwide. The AI, a novel […]
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The First EMR to Integrate with Watson (INTERVIEW)
At Medgadget we’re optimistic about the potential of IBM‘s Watson computer to improve clinical workflow and efficiency, which is why we were excited to learn about the first integration of Watson into an EMR. Modernizing Medicine has staked its claim in a relatively crowded EMR space by focusing on specialty-based medicine, such as dermatology and ophthalmology, as well as offering a structured data framework enabled by their mobile-compatible system. We spoke to the company’s CEO, Dan Cane, last year and decided to follow up with him again to learn more about the Watson integration and recap what the company does for those who have not heard about it.
Shiv Gaglani, Medgadget: What was the impetus for starting Modernizing Medicine?
A Specialized and Structured EMR: Interview with Modernizing Medicine Co-Founder and CEO, Daniel Cane
In large part due to 2009′s Health Information Technology for Economic and Clinical Health (HITECH) Act, there has been a proliferation of electronic medical record systems. Many of the largest providers, such as Johns Hopkins and Kaiser Permanente, have seen a consolidation onto large systems like Epic, while many small to middle-sized providers continue to use direct to consumer type systems such as Practice Fusion. These systems are competing for market share and thus have built products that can be used by everyone from family physicians to neurosurgeons, often in a one-size-fits-all fashion.
We recently came across a relatively new EMR called Modernizing Medicine, which had a presence at both TEDMED and CONVERGE this year, that announced today that it received $14 million in equity funding. Their approach is to build focused systems for key specialties, starting with dermatology and moving to opthalmology and even orthopedic and plastic surgery. We had the opportunity to speak with Modernizing Medicine’s CEO and Co-founder, Daniel Cane, who is no stranger to building tech solutions for large industries; as an undergraduate at Cornell in the late 1990s he co-founded Blackboard, the largest learning management system in education.