Thalasar Ventures

Vice President of Community, MongoDB

Vice President of Community, MongoDB
Matt Asay is Vice President of Community at MongoDB. He was previously VP of Business Development at Nodeable. You can reach him at mjasay@mac.com and follow him on Twitter @mjasay. Articles by Matt Asay. View Content By Month …
Read more on Banktech (blog)

No, men aren't “having it all” either
Writing on his blog Tuesday, Schireson, the 44-year-old CEO of the billion dollar database company MongoDB, explains exactly why he is now leaving “the best job I ever had.” As he notes, his job requires him “to fly 300,000 miles this year, all the …
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DevOps Weekly Round-Up: Combining big data and DevOps
EnterpriseDB (EDB) has released an updated PostgreSQL's ability for MongoDB to the open source PostgreSQL community and is planning to release one for Hadoop in coming months. The release called Foreign Data Wrapper (FDW) take advantage of …
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Hated the Facebook experiment? You'll hate what's next for health care.
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Backed By YC And Rock Health, Aptible Handles The Hard Parts Of HIPAA
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XOLO's HIVE UI Launched
Rip Curl Search GPS is backed and enabled by ObjectRocket, Rackspace Database-as-a-Service (DBaaS) for NoSQL MongoDB. ObjectRocket is a sharded and fully managed service for MongoDB, built with a set of tools and APIs designed to maximise …
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Jvion Releases Top Three Lessons in Predictive Population Health Analytics


Atlanta, GA (PRWEB) July 31, 2014

Atlanta-based Jvion, a leader in clinical predictive algorithms and machine learning, released their top three lessons in predictive population health analytics as part of an ongoing series dedicated to understanding and applying predictive analytics in healthcare. Ritesh Sharma, Jvion COO, commented, “it is critical that we work together as an industry to understand the impact of and potential within predictive analytics. There is a lot of information out there and a good portion of it is conflicting or confusing. The effectiveness of predictive capabilities in improving health outcomes starts with understanding where we can effectively apply these new and powerful technologies. When applied right, predictive analytics empower hospitals to proactively do a lot of things.”

Top Three Lessons – Summary Findings

Why focus on population health?

Population health initiatives have the overarching goal of targeting specific at risk populations to apply low cost interventions across the care continuum. New value-based payment models and systems like accountable care organizations are forcing many providers to rethink their approach to prevention and evaluate the effectiveness of predictive technologies in targeting specific, high and rising-risk segments of the community.

What role do predictive analytics play in population health?

There are three types of population health solutions in the market: first, traditional analytic solutions (retrospective data analysis); second, Enterprise Data Warehouse (EDW) based predictive analytics; and third, (new) Machine Learning algorithm powered solutions. Traditional analytic solutions involve retrospective data analysis, benchmarks, and trending and are primarily focused on looking back in time to understand how things worked in the past. The problem with this approach is that it only helps maintain a scorecard; it does not provide enough actionable information for organizations to proactively plan and change future results.

The other two forms of population health solutions are predictive: EDW and Machine Learning. EDW based solutions compile large amounts of data into a single data warehouse. This data is then consolidated and analyzed for patterns that lead to predictive insights. Machine Learning based solutions start by building models and clusters, and analyzing individual risk levels for all patients across a population. This individual-level risk is then aggregated and stratified into risk cohorts that can be targeted for specific interventions.

Feedback and findings suggest that Machine Learning solutions are better suited for the healthcare industry because they tend to deliver more detailed and more accurate results that don’t require a heavy investment in an EDW. The time it takes to deliver value is also significantly different. EDW solutions take a minimum of 18-24 months to stand up whereas Machine Learning solutions can start to deliver outputs in weeks. Additionally, the more advanced Machine Learning solutions currently available are able to use publically and readily available data elements to quickly stratify risk and define cohorts at accuracy levels that are much higher than earlier generation models.

How do you articulate the Return on Investment (ROI) for these solutions?

The ROI for a predictive analytic solution can seem a little “fuzzy” because it is about cost avoidance. The abstracted benefits of population health initiatives are well known. Employers benefit from lower absenteeism and injury rates, and the subsequent increase in productivity. Taxpayers benefit by lowering the number of chronic conditions treated through the Medicare and Medicaid systems. And communities benefit from the overall strengthening of the economy and associated influx of federal investment/benefits.

For individual hospitals, the numbers can get a little blurry and slippery if they are not already proactively managing population health. However, with risk-based and value-based contracting practices becoming more prevalent across payors, population health initiative ROI becomes much more straightforward and concrete for hospitals. In addition, findings suggest that predictive analytics actually enable better ROI measures. This is because they can quickly and comprehensively analyze historical data to determine the dollars saved if preventative measures were applied based on predicted risk insights. Using this approach, a hospital can assign a hard dollar ROI not only to population health overall, but down to a specific disease and subset of a risk stratified cohort.

For more information on Jvion and their population health solutions, please click here. And for information on the firm’s entire suite of predictive analytic solutions, please visit http://www.jvion.com.

About Jvion

Jvion is a healthcare technology company that develops software designed to predict and prevent patient-level disease and financial losses leading to increased waste. The company offers a suite of big-data enabled solutions that combine clinical intelligence with deep machine learning to help providers protect their revenues while improving patient health outcomes. The objective is simple—stop the waste of resources and lives by predicting and stopping losses before they ever happen.

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Getting under the hood of why Aerospike technology is good for travel

Getting under the hood of why Aerospike technology is good for travel
Aerospike (the fastest read/write database that operates in-memory, on flash, as a hybrid and on disk as well) is a huge deal in the travel sector. NB: This is part one of a two-part viewpoint from Max Rayner, a partner at Hudson Crossing. In this …
Read more on Tnooz

ARM's first 64-bit servers: Just what can you expect to run on them?
These enterprise software packages include the LAMP stack – an acronym for software widely used for websites, commonly referring to a Linux OS, Apache web server, MySQL database and PHP scripts – as well as the NoSQL database MongoDB and the …
Read more on TechRepublic (blog)

Meditology Outlines Top 5 Technology Strategies for Population Health and Engagement


(PRWEB) July 29, 2014

Meditology Services LLC, a leading professional services company focused exclusively on serving healthcare organizations, today announced the appointment of Erin Carey as Director of Healthcare IT Consulting. As a former executive with Kaiser Permanente GA, Blue Cross Blue Shield NC and St. Vincent’s Hospital and Medical Center of New York, Carey is a recognized industry thought leader and brings extensive healthcare experience to the fast growing firm – including the successful execution of Meaningful Use programs to achieve clinical process improvement.

In addition, Meditology has published the “Top 5 Technology Strategies for Population Health and Patient Engagement,” based on its leadership’s decades of combined experience, spanning hundreds of healthcare clients.

Population health and patient engagement is becoming an emerging focus, as it is widely acknowledged that there are not enough clinicians available to take care of future patient populations. Therefore, it is becoming critical that healthcare providers take full advantage of the available technologies in order to care for common health issues efficiently and in a way that effectively engages all patients including an increasingly tech savvy patient base. This will help enable physicians to focus their time and skills on the groups of patients who need it the most, such as those with severe chronic diseases.

“Surprisingly there is technology available today that goes a long way toward advancing population health and engagement when used intelligently. For example EHRs and Meaningful Use functionality, combined with robust business intelligence and data mining tools, can help physicians automate the management of their patient populations and ‘be the conductor of their orchestra’ in order to take care of each patient’s needs. And, ultimately, this helps health systems nationally achieve The Triple Aim – improve the experience of care, improve the health of populations, and reduce costs,” said Carey.

Top 5 Technology Strategies for Population Health and Engagement

Meditology’s leadership recommend these technology approaches to improve the experience of care, improve the health of populations, and reduce costs:

1.    Vision and Strategy

Have a comprehensive technology strategy.

    A broad strategy will encompass all organizational needs with an agile framework that is capable of expanding for future technology. Key components should include assessment of clinical needs including Quality program criteria; Capabilities to support all methods of patient communication preferences; HIE; Application data integration, enterprise data warehouse and business intelligence; Patients and providers bringing their own device (BYOD), telehealth, wearable bio medical/health devices, and emerging capabilities like Google Glasses and contacts; Last but not least, mitigate security risks by ensuring alignment with HIPAA and state regulations.

2.    One Size Does Not Fit All

A single method of physician-patient communication will miss a lot of patients.

    To engage patients for the best possible care outcome and meet patient expectations, providers should ask patients how they would like to communicate outside the office, and should communicate with each patient according the patient’s personal preference. For example, some people don’t open paper mail or email frequently, know how to text message, and assume all those messages on their answering machines are from telemarketers.

3. Leverage Technology for Provider Efficiency

Support Providers in becoming the conductor of their orchestra by providing a comprehensive view of all patients and efficient tools to manage the care each population needs.

    Automation – Automate patient reminders for preventive and follow up care, chronic care reminders, patient visit questionnaires, and appointment reminders by integrating EHR functionality, clinical decision support tools, business intelligence, disease registries, and predictive analytics capabilities.
    Embrace evolution – Meaningful Use technology has provided new business intelligence capabilities that integrate into the clinician’s EHR workflow, these tools support providers in efficiently managing patient populations. Traditional clinical reporting departments should expand their mental mindset to collaborate with IT on using integrated EHR reporting capabilities to positively impact care outcomes.

4. Workflow Integration

Align People, Process, and Technology.

    Creating workflows in silos, not involving key players and not mapping out all goals and steps in the organizational process is a common point of inefficiency, redundancy and failure. Involve all key stakeholders, map out current and future state workflows, configure all systems to align with the new process, and apply process improvement methodologies such as PDSA Cycles after implementation to ensure the optimal design.

5. Security and Compliance Risk Mitigation

Mitigate your risk and liabilities with the right security framework.

    A comprehensive strategy will involve a myriad of data and information traveling into and out of your organization; use comprehensive policies, encryption of information, and ongoing assessment of your breach vulnerabilities.
    It will also involve achieving standards such as Meaningful Use, Patient Centered Medical Home (PCMH), Accountable Care Organizations (ACO) quality measures, CMS quality measures, Health Employer Data Information Set (HEDIS), Coordination of Care programs, and other quality accreditations.

To download the model titled “Designing a Technology Strategy to Support Population Health and Patient Engagement” please visit: http://www.meditologyservices.com/thought-leadership/2014/07/population-health-technology-landscape.

“Creating a cohesive population health and patient engagement strategy – supported through people, process and technology – should be an integral element of nearly every health system’s strategic agenda. But, figuring out where to start can be daunting. I am excited to move into this role with Meditology, whose vision, top-notch talent, knowledge and clients are critical to the advancement of the industry,” added Carey.

“We are thrilled to add Erin and her unique expertise to help our clients achieve these goals while aligning their security, privacy and compliance programs. Following on the recent appointment of Nadia Fahim-Koster, CISSP, CHPS and former CISO for Piedmont Healthcare, this announcement continues the momentum for Meditology as the premier healthcare privacy and security firm,” said Cliff Baker, Managing Partner at Meditology

Carey brings 19 years of a vast array of healthcare leadership experience to Meditology. She has held roles in informatics, finance, business intelligence and reporting, and implementation and optimization of Electronic Health Record and Practice Management systems, as well as leading telehealth and innovation programs to explore technology and processes that optimize the healthcare delivery structure. She holds a Bachelor of Science in Public Health, multiple Epic EHR Certifications and is a speaker at national healthcare conferences as well as a guest lecturer at the University of Georgia.

About Meditology Services

Meditology Services is a leading professional services company with an exclusive focus on the healthcare industry offering two core service lines: IT Risk Management and Healthcare IT Consulting. Meditology’s success stems from the deep and extensive expertise of its leadership team, representing a mix of Big Four consulting, provider, payor and vendor experience. Clients include many of the nation’s largest healthcare companies. Visit Meditology at http://www.meditologyservices.com or follow on Twitter (@Meditology) and LinkedIn.







Cloud database services to grow into a $1 billion-plus opportunity

Cloud database services to grow into a billion-plus opportunity
The San Antonio, Texas, company in 2013 purchased ObjectRocket, which now provides the basis for Rackspace's hosting solution for MongoDB, a widely adopted NoSQL database. Another 2013 acquisition, Exceptional Cloud Services, brought with it a …
Read more on TechTarget

アシスト、MongoDBに接続できるODBC/JDBC接続ドライバーを販売(ニュース)
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Teradata y MongoDB integran sus sistemas vía JSON
[17/07/2014] Teradata anunció una alianza con MongoDB a fin de integrar sus sistemas mediante la construcción de un conector bidireccional de alta velocidad basado en JavaScript Object Notation (JSON). “JSON es una fuente de big data que se adapta a …
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Text Analytics Market Projected to $4.90 Billion by 2019 – New Report by MarketsandMarkets


(PRWEB) July 24, 2014

The report, “Text Analytics Market by Applications (Enterprise, Web-based and Software, Data Analysis, Search-based, Others), by Users (SMBs, Enterprises), by Deployment Model (Cloud, On-Premise) – Market Forecasts and Analysis (2014-2019),” defines and segments the global Text Analytics Market into various sub-segments with an in-depth analysis and forecasting of market sizes. The report also identifies the factors driving this market, and the restraints and opportunities impacting it along with the adoption trends.

Browse 68 market data tables and 41 figures spread through 166 pages and in-depth TOC on “Text Analytics Market:”

http://www.marketsandmarkets.com/Market-Reports/text-analytics-market-253879369.html

Early buyers will receive 10% customization on this report.

Enquire before buying! http://www.marketsandmarkets.com/Enquiry_Before_Buying.asp?id=253879369.

MarketsandMarkets forecasts the global Text Analytics Market to grow from $ 1.64 billion in 2014 to $ 4.90 billion in 2019, at a CAGR of 18.1%. In terms of regions, North America is expected to be the biggest market in terms of market size, while Europe and Asia Pacific (APAC) are expected to experience increased market traction during the forecast period.

MarketsandMarkets broadly segments the global Text Analytics Market by regions: North America (NA), Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America (LA); by applications: enterprise, web-based and software, data analysis, search-based and others; by deployment model: cloud and on-premise; by users: Small And Medium-sized Businesses (SMBs) and enterprises; by industry verticals: Banking, Financial Services, and Insurance (BFSI), consumer packaged goods, healthcare and pharma, high-tech, manufacturing, retail and hospitality, telecommunications and others.

The vendors in the Text Analytics Market are constantly innovating and remodeling the existing architecture in order to develop more efficient software. Major vendors in the Text Analytics Market include IBM, HP, Microsoft, Oracle, and SAP. The major forces driving this market are better customer understanding and improved decision-making using the insights obtained from data analysis.

Technologies like big data analytics and predictive analytics in the Text Analytics Market have promising growth opportunities for industry players. Text analytics offers a more tactical approach by providing actionable insights from analyzed data. Organizations have realized that in order to keep up with this enormous amount of information, they need to automate their data analysis. Text analytics has huge potential in improving customer experience through Customer Relationship Management (CRM) and exercising marketing and branding activities more efficiently and effectively.

Text analytics has empowered organizations to extract valuable business insights from textual sources such as survey responses, email and messaging, contact center notes, traditional and social media, etc. For a customer-centric approach, text analytics could be the answer to survey analysis for attending to the needs of customers by understanding their responses better and in a more competent way. Social media platforms are among the top contributors for large amount of data which could be beneficial for many organizations if analyzed with the appropriate tools.

Text analytics with multi-lingual support is the key to removing language barrier between a customer and a company which will help the company to establish and expand globally. Lack of awareness in terms of end use and software handling could hamper the growth of text analytics. Issues like deployment cost and non-compliance with existing Information Technology (IT) infrastructure could challenge the credibility of this technology.

Request for customization!

http://www.marketsandmarkets.com/requestCustomization.asp?id=253879369

Browse Related Reports

Fraud Detection and Prevention Market [by Fraud Analytics (Predictive, Customer, Social Media, Visual), by Authentication (Single-Factor, Multifactor, Strong)] – Global Advancements, Worldwide Forecasts & Analysis (2013 – 2018)

http://www.marketsandmarkets.com/Market-Reports/fraud-detection-prevention-market-1312.html

Speech Analytics Market [Solutions (Speech Engine, Indexing & Analysis, Reports & Dashboards), Applications (Business Process, Agent Performance, Market Intelligence, Risk & Compliance Management & CEM)] – Worldwide Market Forecast (2014-2019)

http://www.marketsandmarkets.com/Market-Reports/speech-analytics-market-17297779.html

About MarketsandMarkets:

MarketsandMarkets is a global market research and consulting company based in the U.S. We publish strategically analyzed market research reports and serve as a business intelligence partner to Fortune 500 companies across the world.

MarketsandMarkets also provides multi-client reports, company profiles, databases, and custom research services. MarketsandMarkets covers thirteen industry verticals; including advanced materials, automotives and transportation, banking and financial services, biotechnology, chemicals, consumer goods, telecommunications and IT, energy and power, food and beverages, industrial automation, medical devices, pharmaceuticals, semiconductor and electronics, aerospace & defense.

We at MarketsandMarkets are inspired to help our clients grow by providing apt business insight with our huge market intelligence repository.

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