Prognos Health and Mirador Analytics Form Strategic Partnership to Streamline Expert Determination for Patient-Level Data
New York, NY (June 22, 2021) — Prognos Health, a leading healthcare analytics platform company, and Mirador Analytics, the leading HIPAA expert determination provider, today announced a strategic partnership to provide Prognos clients with a more streamlined end-to-end HIPAA certification process that reduces risk.
“At Prognos we are committed to maintaining the highest level of privacy and security for our data and our technology. This partnership with Mirador is an extension of that promise,” said Jason Bhan, MD, co-founder and chief medical officer, Prognos Health. “By working with Mirador to integrate their leading expert determination services and support into our prognosFACTORⓇ platform, our clients can be assured that our analytics or data purchase options on our marketplace are fully de-identified and compliant with HIPAA privacy regulations.”
By partnering with Mirador Analytics, Prognos is able to utilize a suite of programmatic tests to assess the risk of re-identification in healthcare datasets, tools to determine dataset compliance, and have access to an automated approach to removing elements that present any potential risk for re-identification.
“At Mirador, we understand that organizations need more agile access and greater value from healthcare data and so we help them to innovate and improve care quality without compromising compliance and patient confidentiality. We’re excited to partner with Prognos because they have something unique – the ability to link lab test result data with other more traditional and emerging data sets at scale,” shared Jamie Blackport, founder and chief executive officer, Mirador Analytics. “We look forward to expanding our partnership to accelerate our Expert-Led risk monitoring automation processes within the Prognos environment.”
To continue improving scalability, Prognos Health and Mirador Analytics seek to further develop the partnership in the future to provide an even faster, more automated process using a SaaS model embedded within Prognos Health’s prognosFACTOR platform.
“At Prognos we are committed to maintaining the highest level of privacy and security for our data and our technology. This partnership with Mirador is an extension of that promise,” said Jason Bhan, MD, co-founder and chief medical officer, Prognos Health. “By working with Mirador to integrate their leading expert determination services and support into our prognosFACTORⓇ platform, our clients can be assured that our analytics or data purchase options on our marketplace are fully de-identified and compliant with HIPAA privacy regulations.”
By partnering with Mirador Analytics, Prognos is able to utilize a suite of programmatic tests to assess the risk of re-identification in healthcare datasets, tools to determine dataset compliance, and have access to an automated approach to removing elements that present any potential risk for re-identification.
“At Mirador, we understand that organizations need more agile access and greater value from healthcare data and so we help them to innovate and improve care quality without compromising compliance and patient confidentiality. We’re excited to partner with Prognos because they have something unique – the ability to link lab test result data with other more traditional and emerging data sets at scale,” shared Jamie Blackport, founder and chief executive officer, Mirador Analytics. “We look forward to expanding our partnership to accelerate our Expert-Led risk monitoring automation processes within the Prognos environment.”
To continue improving scalability, Prognos Health and Mirador Analytics seek to further develop the partnership in the future to provide an even faster, more automated process using a SaaS model embedded within Prognos Health’s prognosFACTOR platform.
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About Prognos Health
Prognos Health is the leading clinically-focused data and analytics platform company. The prognosFACTORⓇ platform has the power to query billions of fully-integrated lab and health records on more than 325 million de-identified patients to answer or uncover key healthcare questions in minutes, not months. Prognos enables the agile exchange of integrated, patient-centric data between key healthcare stakeholders directly from the Prognos Marketplace. Leveraging the company’s patent-pending technology, clients and partners benefit from a range of analytics applications, including cohort design, patient journey studies, omnichannel marketing and more. Media Contacts: Prognos Health | Heather Fretz | hfretz@garfieldgroup.com Mirador Analytics | Eszter Vuity | esztervuity@miradoranalytics.com |
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Winners of COVID-19 Research Accelerator Grants Announced
Globenewswire, June 17, 2021 | Congratulations to the 15 winners of the first Research Accelerator grants, funded by the Bill & Melinda Gates Foundation! We are very proud to support this initiative, and we look forward to seeing the research outputs.
The Accelerator Program has received hundreds of applications from every corner of the globe. The awardees will find evidence for policies that mitigate the effects of the current pandemic and strengthen future disaster preparedness. The projects will leverage the COVID-19 Research Database with more than 250 million unique patients and 85 billion records. The Database is the largest HIPAA-compliant, de-identified, and limited patient-level data sets of real-world data. Read more: Winners of COVID-19 Research Accelerator Grants Announced (globenewswire.com)
The Accelerator Program has received hundreds of applications from every corner of the globe. The awardees will find evidence for policies that mitigate the effects of the current pandemic and strengthen future disaster preparedness. The projects will leverage the COVID-19 Research Database with more than 250 million unique patients and 85 billion records. The Database is the largest HIPAA-compliant, de-identified, and limited patient-level data sets of real-world data. Read more: Winners of COVID-19 Research Accelerator Grants Announced (globenewswire.com)
Well-being comes first: The life after the COVID-19 outbreak.
As a company, preventing stress and supporting employee well-being become the heart of our purpose of championing better working lives.
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More than a year ago, we listened to the first news about COVID-19, and a few weeks later, we moved our team to the home office to make sure everyone was safe. We have been out of three waves; the time flew by, and remote working became the new normal.
A year ago, we established a dedicated Well-being Program and started to offer plenty of online activities for our employees to take care of their physical and mental health. Today, we offer yoga classes, coffee chats, quiz nights, one-to-one talking sessions with mental carers, Mindfulness training, and many more activities. We also introduced a company-wide day off - called Mirador Day - to give our employees time to relax and to thank everyone for their diligence and high-quality work provided to our customers. Our team has celebrated Mirador Day recently with much fun and outdoor activities that they kindly shared with us. They went cycling, camping, and walking; they visited their old universities and friends. Others enjoyed some lovely family time with their kids, both indoor and outdoor. Our team is the heart of our business; they are our superstars. We are dedicated to protecting them from the risk of infection and helping them stay physically and mentally healthy. |
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COVID Research Accelerator Launched: 1M dollars for research teams leveraging the COVID-19 Research Database
Globenewswire, May 6th 2021: https://www.globenewswire.com/news-release/2021/05/06/2224718/0/en/COVID-Research-Accelerator-Launched-1M-dollars-for-research-teams-leveraging-the-COVID-19-Research-Database.html
Mirador Analytics Partners with Datavant to Create Step Change in Industry’s Approach to HIPAA De-identification and Certification
Wilmington, DE and San Francisco, CA -- January 19, 2021 -- Today, Mirador Analytics, the leading HIPAA Expert Determination provider, and Datavant, the leader in helping healthcare organizations safely connect their data while protecting patient privacy, announced a partnership where Mirador Analytics will offer streamlined HIPAA certification services and remediation tools to members of the Datavant ecosystem.
While still having Experts active in performing determinations, the integration of products automates large portions of the certification process, resulting in a much faster end-to-end certification process, while simultaneously protecting data under HIPAA and providing flexibility in which data to preserve.
Under the partnership, Datavant customers who use Mirador’s service receive on-demand certification of new datasets with results returned within 24 hours. The technical integration includes:
“The value of health data is more crucial today than ever before. The huge amounts of data available brings greater privacy risk and there is a concern of bottlenecks in assessing this risk in deidentified data.” said Jamie Blackport, Founder and Chief Executive Officer of Mirador. “Current approaches are either slow, taking months to certify a single new combination of data; or they are generic, assuming that one certified data layout will meet all customer needs which has potential for increased risk and reduces data utility. Through our partnership with Datavant, we are eager to offer the Datavant ecosystem an approach to certification that is fast, simple, risk-reducing, and fit-for-purpose, allowing customers to spend less time focused on the certification process and more time providing valuable analytics and insights on top of de-identified, certified health data.”
“We are thrilled to announce our expanded partnership with Mirador,” said Travis May, Founder and Chief Executive Officer of Datavant. “We have worked with the Mirador team for years, and have been continuously impressed with their ability to provide reliable, high-quality statistical certification at the speed of business. The preservation of patient privacy is critical to the ethical and trusted use of patient data, and we expect that this new partnership will reset the bar for privacy-preservation across the industry -- while allowing more data to be safely connected for patient benefit.”
While still having Experts active in performing determinations, the integration of products automates large portions of the certification process, resulting in a much faster end-to-end certification process, while simultaneously protecting data under HIPAA and providing flexibility in which data to preserve.
Under the partnership, Datavant customers who use Mirador’s service receive on-demand certification of new datasets with results returned within 24 hours. The technical integration includes:
- a suite of programmatic tests to assess the risk of re-identification in healthcare datasets;
- an automated approach to removing elements that present re-identification risk (i.e., file remediation), which uses Datavant’s de-identification technology to implement a set of certification rules determined by Experts at Mirador Analytics;
- tools to determine if a data set meets the rules under which it was expert certified; and
- control of downstream linking to ensure visibility and compliance into any further linking
“The value of health data is more crucial today than ever before. The huge amounts of data available brings greater privacy risk and there is a concern of bottlenecks in assessing this risk in deidentified data.” said Jamie Blackport, Founder and Chief Executive Officer of Mirador. “Current approaches are either slow, taking months to certify a single new combination of data; or they are generic, assuming that one certified data layout will meet all customer needs which has potential for increased risk and reduces data utility. Through our partnership with Datavant, we are eager to offer the Datavant ecosystem an approach to certification that is fast, simple, risk-reducing, and fit-for-purpose, allowing customers to spend less time focused on the certification process and more time providing valuable analytics and insights on top of de-identified, certified health data.”
“We are thrilled to announce our expanded partnership with Mirador,” said Travis May, Founder and Chief Executive Officer of Datavant. “We have worked with the Mirador team for years, and have been continuously impressed with their ability to provide reliable, high-quality statistical certification at the speed of business. The preservation of patient privacy is critical to the ethical and trusted use of patient data, and we expect that this new partnership will reset the bar for privacy-preservation across the industry -- while allowing more data to be safely connected for patient benefit.”
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About Datavant
Datavant's mission is to connect the world's health data to improve patient outcomes. Datavant works to reduce the friction of data sharing across the healthcare industry by building technology that protects the privacy of patients while supporting the linkage of de-identified patient records across datasets. Datavant is headquartered in San Francisco. Learn more about Datavant at www.datavant.com. About Mirador Analytics Mirador Analytics supports organizations across the healthcare ecosystem to ensure privacy protection of individuals through expert evaluation of data de-identification and use of proprietary software solutions. Mirador Analytics aim to achieve high levels of privacy for individuals while maximizing data utility to allow for innovation, efficiency, and development in healthcare. Media Contact: Jamie Gray, jamiegray@miradoranalytics.com |
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COVID-19 Research Database Announces Over 1,500 Researchers Registered And Over 100 Studies in Progress
PR Newswire, October 1st 2020: https://www.prnewswire.com/news-releases/covid-19-research-database-announces-over-1-500-researchers-registered-and-over-100-studies-in-progress-301143775.html
Publication: Participation in patient support forums may put rare disease patient data at risk of re-identification
Orphanet Journal of Rare Diseases, August 31st 2020: https://ojrd.biomedcentral.com/articles/10.1186/s13023-020-01497-3
Authors: James Gow, Colin Moffatt, & Jamie Blackport of Mirador Analytics
Rare disease patients often struggle to find both medical advice and emotional support for their diagnosis. Consequently, many rare disease patient support forums have appeared on hospital webpages, social media sites, and on rare disease foundation sites. However, we argue that engagement in these groups may pose a healthcare data privacy threat to many participants, since it makes a series of patient indirect identifiers ‘readily available’ in combination with rare disease conditions. This information produces a risk of re-identification because it may allow a motivated attacker to use the unique combination of a patient’s identifiers and disease condition to re-identify them in anonymized data.
To assess this risk of re-identification, patient direct and indirect identifiers were mined from patient support forums for 80 patients across eight rare diseases. This data mining consisted of scanning patient testimonials, social media sites, and public records for the collection of identifiers linked to a rare disease patient. The number of people in the United States that may share each patient’s combination of marital status, 3-digit ZIP code, age, and sex, as well as their rare disease condition, was then estimated, as such information is commonly found in health records which have undergone de-identification by HIPAA’s ‘Safe Harbor.’ The study showed that by these estimations, nearly 75% of patients could be at high risk for re-identification in healthcare datasets in which they appear, due to their unique combination of identifiers. Read more >>
Authors: James Gow, Colin Moffatt, & Jamie Blackport of Mirador Analytics
Rare disease patients often struggle to find both medical advice and emotional support for their diagnosis. Consequently, many rare disease patient support forums have appeared on hospital webpages, social media sites, and on rare disease foundation sites. However, we argue that engagement in these groups may pose a healthcare data privacy threat to many participants, since it makes a series of patient indirect identifiers ‘readily available’ in combination with rare disease conditions. This information produces a risk of re-identification because it may allow a motivated attacker to use the unique combination of a patient’s identifiers and disease condition to re-identify them in anonymized data.
To assess this risk of re-identification, patient direct and indirect identifiers were mined from patient support forums for 80 patients across eight rare diseases. This data mining consisted of scanning patient testimonials, social media sites, and public records for the collection of identifiers linked to a rare disease patient. The number of people in the United States that may share each patient’s combination of marital status, 3-digit ZIP code, age, and sex, as well as their rare disease condition, was then estimated, as such information is commonly found in health records which have undergone de-identification by HIPAA’s ‘Safe Harbor.’ The study showed that by these estimations, nearly 75% of patients could be at high risk for re-identification in healthcare datasets in which they appear, due to their unique combination of identifiers. Read more >>
DeepIntent Adtech Solution First To Meld Differential Privacy & Machine Learning To Reach Specific Patients In A Privacy-Safe Way
PR Newswire, June 25th 2020: https://www.prnewswire.com/news-releases/deepintent-adtech-solution-first-to-meld-differential-privacy--machine-learning-to-reach-specific-patients-in-a-privacy-safe-way-301083332.html
Life science companies combine to form COVID-19 research database
Fierce Biotech, April 21st 2020: https://www.fiercebiotech.com/biotech/life-science-companies-combine-to-form-covid-19-research-database
