Medial EarlySign

28/01/2021

As the value of data is being realized across the healthcare sector, many questions are being asked on how to oversee the research and insights properly. CEO, Ori Geva, shares his thoughts on the matter.

http://bit.ly/36kAfmV

There are many variations on the old mariner’s rhyme as it is now applied to oceans of data—especially in healthcare. But now, the deluge of daily data is not only overwhelming, it’s spawning a plethora of “magic wand” solutions, each claiming to somehow make sense of it all.

28/01/2021

Artificial intelligence (AI) and machine learning have just begun to make substantial impacts in the healthcare sector across 2020. As these technologies continue to advance, the potential for continued constructive impacts progresses as well. http://bit.ly/35CcpCX

Cancer diagnosis including digital pathology, telehealth and physician access are just some of the areas where AI can have outsize impact in 2021.

25/01/2021

AI has the potential to do a lot of good in 2021. Within the healthcare sector, there is much room for AI, machine learning and predictive analytics to revolutionize the way care is delivered. Across many other sectors, the power of AI can bring about some much needed change. http://bit.ly/2KffK3s

There's more attention on AI’s influence than ever before. Let's make it count.

19/01/2021

The healthcare sector has only just begun to experience the positive impact brought by artificial intelligence. AI has fueled the reshaping of significant methods through which disparate electronic data can now be optimized, amongst them- early detection of various diseases.

At EarlySign, our solutions are totally focused on the power of early detection. By empowering healthcare professionals with the predictive tools needed to identify patients who are potentially vulnerable to high-risk diseases down the road, we enable them to focus on delivering pre-emptive care at a crucial time. http://bit.ly/38HviXb

How Artificial Intelligence is Reshaping the Healthcare Sector By CIOReview - The healthcare sector is adopting artificial intelligence because it helps build reliable predictive tools for...

15/01/2021

2020 was the year that shed light on the major gaps in our health care systems. With the new year comes signs of hope for the strong framework to be built with the assistance of advanced analytics. Medial EarlySign CEO, Ori Geva, shares his thoughts: http://bit.ly/3oJwSNJ

Significant disruption and the impact on care delivery underscore the tectonic change our health systems have experienced over the course of 2020. Along...

06/01/2021

With encouraging news of the vaccines against COVID-19 and the upcoming global roll-out on the horizon, we must not grow complacent in following CDC regulations. Now is the time where AI-powered clinical solutions can prove highly impactful by utilizing predictive measures to assist in minimizing the impact of coronavirus. Through reducing the care management burden by more accurately stratifying those at the highest risk for complications, we can create deeper and more personalized understanding of disease progress across both infectious and chronic complications. EarlySign’s AI-powered Infectious and chronic bundles help healthcare providers identify and prioritize patients that would benefit most from both in-person and digital early interventions. Learn more about how AI is changing the future of medicine. https://zd.net/3m1yhhH http://bit.ly/3avG6sF

The coronavirus pandemic has caused significant shifts in how healthcare is delivered. How many of these advances will last beyond the virus?

28/12/2020

2020 was a year like no other. We have witnessed devastating loss and changes on a global scale, yet in parallel, we have seen demonstrations of great courage, sacrifice, and ingenuity in battling this pandemic. We are grateful that 2020 has also brought out the best in us, rising to meet many challenges and doing so with grace and dignity. From Medial Early Sign, we wish you and your loved ones a Healthy Holiday season and a Happy New Year!

07/12/2020

Being chosen as a finalist to participate in stage 2 of the Centers for Medicare and Medicaid Services AI Challenge is an accomplishment we are humbled to receive. Partnering together, Geisinger and Medial EarlySign are working towards reshaping the integration of clinical care with AI-driven insights by utilizing the shared knowledge of our dynamic teams. As part of a national effort guided by CMS, we are striving to find a solution to achieve the Quadruple Aim of improving the patient experience of care, improving the health of populations, reducing cost, and improving clinical care provider satisfaction.

03/12/2020

Chosen as a finalist for the CMS AI Challenge along with our partner Geisinger, Medial EarlySign is ready to take this opportunity head-on. As CEO, Ori Geva said, “Geisinger’s deep understanding and commitment to patient care augmented with our machine learning modeling allowed us to excel as a team. This challenge has proven to us the depth and value of our medical AI modeling framework and the power it gives our healthcare clients to handle complex clinical predictive modeling at scale.” We look forward to great things to come. https://bit.ly/2Hr9l3B

Geisinger and Medial EarlySign have advanced to the final round of the CMS Artificial Intelligence Health Outcomes Challenge with their solution to reduce hospital admissions and adverse events.

02/12/2020

The use of AI in healthcare has various challenges Ori Geva, CEO of Medial EarlySign shares his thoughts on the hurdles to be overcome through participating in the CMS AI Challenge alongside partner Geisinger. https://bit.ly/37pAHQN

During the competition of the CMS AI Challenge, we were up against real challenges. Challenges that come along with the introduction of AI, such as providing...

01/12/2020

CEO Ori Geva shares his thoughts on the potential impacts that Medial EarlySign, alongside our partner Geisinger, can have by participating as a finalist in stage 2 of the CMS AI Challenge. To read more: https://bit.ly/36pad2j

The AI-based solution submitted by the joint team, comprised of Geisinger and Medial EarlySign, has been chosen as a finalist to participate in stage 2...

23/11/2020

Together, Medial EarlySign and Geisinger have devoted considerable resources to build an accurate set of AI based models—designed to support clinical workflow and provide transparency along with clinical value. Earning finalist status in the CMS AI challenge recognizes the hard work and dedication of our joint team to pursue the larger goal of improving health and outcomes. With our wealth of data science and clinical product development knowledge, we look forward to what the future of this project will bring for our team!

19/11/2020

Together with Geisinger, we began a journey to address a national healthcare challenge to build an AI-based solution to help predict patient health outcomes aimed at revolutionizing healthcare. Launched under the auspices of CMS, we competed against over 300 other brilliant solutions seeking to develop solutions to keep patients healthier. After 18-months of development and two stages of judging, we announce that Geisinger and Medial EarlySign are one of 7 entrants that have been chosen to compete in the next stage of the CMS AI Challenge.
https://bit.ly/2UAoDpQ

Geisinger, Medial EarlySign partnership one of seven entries chosen for final round   DANVILLE, PA – November 18, 2020 – Geisinger has been selected as one of seven finalists in the Centers for Medicare & Medicaid (CMS) Artificial Intelligence Health Outcomes Challenge. Geisinger partnered with...

13/11/2020

At Medial EarlySign™, we have advanced the use of AI for leading healthcare organizations—from providers to life sciences—to improve patient and physician experience and individualize the delivery of care. Clinical machine learning is a technology that can be the foundation for the future of healthcare. Yet, many companies lack experience and a proven path to success, which creates a stumbling block towards moving the industry forward. Now, for the first time, investments in AI from the healthcare sector have been increasing at a fast rate as the sector begins to implement technologies available to improve patient outcomes. https://bit.ly/2IcRf62 Fierce Healthcare

Healthcare organizations are ramping up their investments in artificial intelligence in response to the COVID-19 pandemic, according to survey data. But they are not turning to tech giants like Google and Amazon to deploy these technologies. Here's why.

09/10/2020

A recent study has found that over 40%of Americans are avoiding or delaying medical care due to COVID. Read more about this trend: https://bit.ly/3mICJCt

Delayed or avoided medical care can increase death, severity of illness, and the chronic health impacts of acute illness.

06/10/2020

Medial EarlySign Co-founder, Ori Geva, shares his thoughts on reworking the healthcare system in order to pave the road for patient-consumerism. To learn more: https://bit.ly/2G3dIAT

The utilization of AI in MedTech is contingent on the provider market, which is notorious for slow adoption. There has been a slow transition towards patient-consumerism...

05/10/2020

COVID-19 has highlighted the need for change within the healthcare sector. Many patients have avoided doctor visits due to unnecessary infection risks, leading to many healthcare providers utilizing new innovative solutions. The implementation of these positive trends are a step in the right direction towards improving the healthcare systems for good. https://bit.ly/3izDz1H

Seeing a doctor online for ongoing care and prescription refills can be more convenient than frequently going to their doctor.

29/09/2020

Artificial intelligence(AI) and Intelligence amplification (IA) are often confused with one another. What is the difference between the two and how are they connected? To learn more: https://bit.ly/35Bvx4T

Intelligence Amplification (IA) uses machine learning technologies which are similar to Artificial Intelligence (AI), but instead of replacing humans, IA aims to assist them. Read how IKEA, Google are using to deliver superior business value with IA.