Connect with us

Cigna Collaboration Helps Santa Clara County IPA (SCCIPA) Improve Quality and Lower Costs

Published

on

Reading Time: 3 minutes

SANTA CLARA, Calif.–(BUSINESS WIRE)–The latest results from a collaboration between Cigna and Santa Clara
County IPA (SCCIPA) show that the program continues to drive better
health care quality for nearly 18,000 Silicon Valley residents while
achieving significantly better affordability.

SCCIPA enhances care by using patient-specific data from Cigna to help
identify individuals being discharged from the hospital who might be at
risk for readmission, as well as people who may be overdue for important
health screenings or who may have skipped a prescription refill. The
physician-led care team also helps patients get the follow-up care or
screenings they need, identifies potential complications related to
medications and helps prevent chronic conditions from worsening.

While SCCIPA already beats the market in affordability with total
medical costs that are 18 percent below market average, the medical
group’s cost trend was 2.6 percent lower than the market trend during
the period ending Sept. 30, 2018.

At the same time, the group’s quality score improved by double digits –
nearly 20 percentage points, led by better care of patients with cardiac
conditions, diabetes, depression and those requiring specific preventive
screenings.

Numerous factors contributed to SCCIPA’s strong performance results
compared to the market, including:

  • Hospital readmissions were 23 percent lower than market
  • Inpatient admissions among all services were 10 percent lower than
    market
  • Emergency room visits were 9 percent lower than market
  • Advanced imaging (CT scans and MRIs) were used 32 percent less than
    market
  • Inpatient total medical cost (per Cigna customer per month) was 20
    percent lower than market

“As a risk-bearing network of more than 800 physicians, we’re very
pleased with these positive results,” said John Kersten Kraft, M.D.,
president of SCCIPA. “SCCIPA is devoted to improving the measurable
quality of medical intervention received by our patients while
controlling the cost of their care. We value our strong and
exceptionally collaborative relationship with Cigna. Without this
relationship, these results could not be achieved. Together, we are
having a very positive impact on the health of our patients.”

“When health plans and health care providers work together toward a
common goal, the result is better health and affordability for the
people we jointly serve,” said Ken Phenow, M.D., M.P.H, market medical
executive for Cigna in Northern California. “We congratulate Santa Clara
County IPA for its laser focus on quality improvement that drove these
outstanding results.”

Since Cigna began collaborating with SCCIPA in 2014, the group has
demonstrated some of the most consistent performance, not only among
other medical groups in Northern California and Cigna’s Western Region,
but also among the more than 225 Collaborative Care arrangements Cigna
has with provider groups nationwide. In 2018, SCCIPA was the top
performing Cigna Collaborative Care group nationally.

In addition to its Collaborative Care arrangement with Cigna, SCCIPA is
also part of an alliance between Cigna and Good Samaritan Health System,
which includes Regional Medical Center of San Jose and Good Samaritan
Hospital. The alliance launched in January 2018 and offers a customized
network of primary care doctors, specialists and hospitals that provide
high value care.

About Santa Clara County IPA

Santa Clara County IPA (SCCIPA) has been providing exceptional
healthcare services for more than 30 years. More than 240 primary care
physicians and 600 specialists are focused on delivering the highest
quality of care, while driving lower cost of care for more than 90,000
members of major HMOs, PPOs, ACOs and Medicare Advantage programs.
SCCIPA’s mission is to connect patients to independent doctors who are
passionate about providing personalized care. The diverse network
includes access to 13 urgent care centers, 10 hospitals, radiology,
clinical labs, physical therapists, and case managers dedicated to
providing care with a purpose. SCCIPA offers a multitude of services for
members and is known for its Care Concierge program. The program is led
by a team of clinicians and is designed to engage patients and promote
healthy habits, behavioral change, improved health, and ultimately lower
cost of care by helping members be at their best. Visit www.sccipa.com.

About Cigna

Cigna Corporation (NYSE: CI) is a global health service company
dedicated to improving the health, well-being and peace of mind of those
we serve. Cigna delivers choice, predictability, affordability and
quality care through integrated capabilities and connected, personalized
solutions that advance whole person health. All products and services
are provided exclusively by or through operating subsidiaries of Cigna
Corporation, including Cigna Health and Life Insurance Company,
Connecticut General Life Insurance Company, Life Insurance Company of
North America, Cigna Life Insurance Company of New York, Express Scripts
companies or their affiliates. Such products and services include an
integrated suite of health services, such as medical, dental, behavioral
health, pharmacy, vision, supplemental benefits, and other related
products including group life, accident and disability insurance. Cigna
maintains sales capability in over 30 countries and jurisdictions, and
has more than 160 million customer relationships throughout the world.
To learn more about Cigna®, including links to follow us on
Facebook or Twitter, visit www.cigna.com.

Contacts

Mark Slitt
Cigna
860.226.2092
Mark.Slitt@cigna.com

Janet Doherty Pulliam
Pacific Partners Management Services, Inc.
650.358.5715
jpulliam@ppmsi.com

Cannabis

Strainprint™ Technologies Welcomes Organic Medical Cannabis Producer to Growing List of Subscribers

Published

on

Reading Time: 2 minutes

 

Strainprint™ Technologies Ltd, the leader in cannabis data and analytics is pleased to expand their nation-wide coverage with the addition of Stewart Farms.

Stewart Farms is a late-stage applicant headquartered in Alberta that is building a 100,000 sq. ft. vertical aquaponics farm in Saint StephensNew Brunswick. They will be utilizing automation, vertical farming, and land-based aquaculture to produce medical grade organic cannabis for both recreational and medical markets in Canada. All of their products will be free of herbicides, pesticides and synthetic nutrients. At full capacity, they will reach more than 10,000 kgs per year of organically farmed cannabis and more than 200,000 kgs of organic tilapia.

Stewart Farms’ long term vision is to deliver tools and products to support  future customers and patients during their health and wellness journeys. “Through our partnership with Strainprint we gain direct access to their incomparable data and analytics tools. This will aid us in educating a wider audience on the medical benefits and best practices of cannabis-based medicine,” said Tanner Stewart, Co-founder & CEO of Stewart Farms. “We know our customers are looking to consume more than dried cannabis. We know Canadians of all legal ages are trying to sort through their personal engagement with cannabis as a medicine. What we want to know, on an ongoing basis, is what is and is not working for people. Strainprint’s patient-led data services will give us the insight needed to create custom products and further understand the benefits of our existing products. Finally, our goal is to partner with companies and teams that truly have people’s best interest at heart. Caring about a patient’s success is what makes up the core of the Strainprint team. We couldn’t be happier to move forward with them at our side.”

Stewart Farms will access the Strainprint Analytics web platform, the most sophisticated cannabis analytics platform available to improve product development. Strainprint Analytics is built on top of the largest and most granular scientific data set of its kind in the world, with more than 1.3 million anonymized, patient reported medical cannabis outcomes and more than 65 million data points on strain efficacy.

“We’re thrilled to provide our real-time, crowd sourced data to an environmentally conscious company that uses innovative, cutting edge farming technology to produce top-tier medical cannabis,” said Strainprint CEO, Andrew Muroff. “Our organizations are equally committed to improving lives using cannabis therapy, and our shared core motivation is to provide guidance and support to help cannabis patients achieve their health goals.”

 

SOURCE Strainprint Technologies Ltd.

Continue Reading

Cannabis

Field Trip Ventures Inc. Retains KCSA Strategic Communications as Public Relations Counsel

Published

on

Reading Time: 1 minute

 

Greenery Map, the world’s first and only cannabis search engine to allow users to search for cannabis products based on their desired mood, medicinal use, and method of consumption, is now offering users – both businesses and consumers – the opportunity to register and connect to the app in an entirely mobile way. Previously, businesses were required to access GreeneryMap.com from a desktop in order to manage accounts and connect to the inventory API system, but that road block has been removed, allowing for an entirely mobile experience through the Greenery Map app.

App users turn to Greenery Map to help them decide on the strain of Cannabis and product that is right for them depending on their desired mood or medicinal effect. Following the matching, consumers are given a detailed history and description of the strain so that they can make educated purchases, cutting down on time that budtenders need to spend with patrons and speeding up the purchase process. Consumers can then see all of the ways to purchase said product, including the nearby dispensaries that have it in stock, online options, and even delivery options through the app. Greenery Map fully integrates with a dispensary’s inventory API system to update in real-time and give consumers real-time information on dispensary stock for the item they are looking for. The Greenery Map system also provides cannabis businesses in both the B2B and B2C sectors a private database to share and sell information and products. For Cannabis businesses, Greenery Map also offers the opportunity to open bank and merchant accounts through their partnership with PayHouse Consulting Group.

 

SOURCE Greenery Map

Continue Reading

Cannabis

WeBank, IBM and Other Organizations Jointly Held the 1st International Workshop on Federated Machine Learning in conjunction with IJCAI 2019

Published

on

Reading Time: 4 minutes

 

Once a concept, AI is now ushering in a key stage of application. What’s the solution to the data silos among businesses? Given the enhanced regulation on data at home and abroad, what’s the solution to data privacy and security concerns? What’s the status quo of Federated Machine Learning and how to establish an ecosystem for FML in the future?

WeBank, IBM and other organizations jointly held the 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML’19) in conjunction with the 28th International Joint Conference on Artificial Intelligence (IJCAI-19) on Aug. 12, 2019, to further discussion on these issues.

President of IJCAI, Chair of FML Steering Committee, Chief AI Officer of WeBank Professor Qiang Yang delivered opening remarks at the workshop. Dr. Shahrokh Daijavad from IBM and Dr. Jakub Konečný from Google presented keynote addresses. In the panel discussion, top scholars from WeBank, Bar-Ilan University, IBM, Squirrel AI, Google, Huawei, Clustar, Sinovation Ventures and many other renowned enterprises and universities shared and discussed their findings and experience in FML as an emerging AI technology.

This workshop received 40 papers, of which 12 were presented during the workshop, 19 presented via poster. Awards include Best Theory Paper Award, Best Application Paper Award, Best Student Paper Award, Best Presentation Award. Selected high quality papers will be invited for publication in a special issue in the IEEE Intelligent Systems journal. All these attracted numerous scholars to engage in discussions and join efforts for building the FML ecosystem.

Experts from IBM and Google Share Groundbreaking Findings with a Focus on the Theory and Application of FML

Privacy and security are becoming a key concern in our digital age. On 25th May last year, the implementation of General Data Protection Regulation (GDPR) by the EU, the toughest Act on data privacy protection, stressed that user data collection must be open and transparent. A series of laws and regulations from China and overseas also pose new challenges to the traditional way of handling data and model for cooperation. Seeking ways for AI to adapt to this new reality became top priority, a demand that led to this workshop on FML.

A wealth of solutions and breakthroughs were shared by Dr. Shahrokh Daijavad from IBM and Dr. Jakub Konečný from Google in their speech on FML.

Besides how FML can help tackle challenges in the business world, Dr. Shahrokh Daijavad also shared the concept of Fusion AI, which means to train models on widely distributed data sets, but fuse them to produce one equivalent to what centralized training would yield. “Unlike traditional machine learning, in Fusion AI, model parameters are shared and data is not transferred, which makes Fusion AI model better than models that moving data centrally.” Given the widely distributed data, the development of Fusion AI and FML became ever important and imminent.

“FML enables machine learning engineers and data scientists to work productively with decentralized data with privacy by default,” said Dr. Jakub Konečný from Google. He also shared with us how FML works and its use cases at Google. In the case of Gboard, as on-device data is privacy sensitive or large or is more relevant than server-side proxy data, and labels can be inferred naturally via user interaction, the application of Federated RNN compared to prior n-gram model can increase the accuracy of next-word prediction by 24%, and the click rate of prediction strip by 10%.

Major Figure Panelists Discuss the Way Ahead for FML

The moderator of the panel discussion, AI Principal Scientist of WeBank Dr. Lixin Fan joined panelists including Professor Benny Pinkas from Bar-Ilan University, Dr. Shahrokh Daijavad of IBM Academy of Technology, Chief Architect of Squirrel AI Dr. Richard Tong, Research Scientist of Google Dr. Jakub Konečný, Dr. Baofeng Zhang from CTO Office of CBG Software in Huawei, Executive VP of Clustar Dr. Junxue Zhang, VP of AI Institute in Sinovation Ventures Dr. Ji Feng and other experts in a host of in-depth exchanges with attendees, to shed light on the way ahead for FML.

Experts shared thoughts in the panel discussion on questions including but not limited to: How to meet the security and compliance requirements? Is there a way to extend the value of data while observing user privacy and data security? Given the classic trade-off between data regulation and development of AI, how to achieve the long-term goal of establishing a stable and win-win business ecosystem?

List of Award-Winners

Best Theory Paper Award, Best Application Paper Award, Best Student Paper Award and Best Presentation Award selected by all attendees were announced at the closing of the workshop.

Best Theory Paper Award: 
Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning? By Huadi Zheng, Haibo Hu & Ziyang Han;

Best Application Paper Award: 
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare. By Yiqiang ChenJindong WangChaohui YuWen Gao & Xin Qin;

Best Student Paper Award: 
Quantifying the Performance of Federated Transfer Learning. By Qinghe JingWeiyan Wang, Junxue Zhang, Han Tian & Kai Chen;

Best Presentation Award: 
Federated Generative Privacy. By Aleksei Triastcyn and Boi Faltings.

President of IJCAI, Chief AI Officer of WeBank Professor Qiang Yang, Chief Architect of Squirrel AI Dr. Richard TongandVP of AI Institute in Sinovation Ventures Dr. Ji Feng presented the awards.

“The mission of this International Federated Machine Learning Workshop is to facilitate further understanding in the academia, business community as well as legal and regulatory institutions by promoting the establishment of FML ecosystem in the hope that more businesses will join and build a platform for students aspired to work in FML to find research teams that suit them,” said Professor Qiang Yang.

Held Aug. 10-16, 2019 in Macao, China, IJCAI-19 is one of the leading International Academic Conference on AI, attracting over 3000 AI research personnel and experts. The 1st International Workshop on Federated Machine Learning (FML’19) was a highlight for experts joining this event. Visionaries in the academia and industrial sector expressed the willingness to be part of the effort for academic research, application of FML in the future, and the development and boom of AI ecosystem.

Continue Reading

Trending Online

Grassnews is a news publishing website which digests / hand picks the latest news about the cannabis industry, and serves them to you daily.

Contact us: pressroom@grassnews.net

© Grassnews.net 2019 - part of PICANTE Media. All rights reserved. Registered in Romania under Proshirt SRL, Company number: 2134306, EU VAT ID: RO21343605. Office address: Blvd. 1 Decembrie 1918 nr.5, Targu Mures, Romania