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NIST to Hold Workshop Series on Cybersecurity Framework

Based on early reviews of the 2014 budget request, it appears agency efforts to improve cybersecurity will receive continued attention for the foreseeable future. Considering the As part of the executive order for cybersecurity, the National Institute for Standards and Technology (NIST) was given the responsibility for developing a cybersecurity framework. The first in a series of workshops on developing this “living framework” was held in Washington, D.C. on April 3, 2013. Much of the discussion revolved around risk management and the role of industry in identifying best practices. (Not surprisingly, these are issues that government agencies have been facing too.)

 
Mid March, we looked at the role of private industry in implementing the cyber executive order. For government, the goal of partnership with industry is to strengthen national security both within government and across private industry. To that end, the public sector has been reaching out for input from industry, academia and the public. As Rebecca Blank, Deputy Secretary for the Department of Commerce, phrased it in her opening comments: “Government cannot and should not do this alone.”
 
It’s clear that improved information sharing, situational awareness, and public-private partnership have roles to play in moving forward. For the most part, government and industry agree that there’s a need to build on existing capabilities, to identify solutions that provide flexibility and that can adapt across varying sector requirements.
 
For many companies, cybersecurity has become an integral part of discussion around risk-management practices. Opinions vary about how to define “best practice,” and rightly so. Organizations do not have a consistent answer for how to measure the success of security practices. For the most part, risk levels are evaluated at the tactical level, rather than compared to strategic benchmarks. Raising risk and security management to a strategic level would clarify its role in business strategy. During an industry leadership panel discussion. Patrick Gallagher, the Undersecretary of Commerce for Standards and Technology and Director of NIST, described this challenge as the need “to learn about the balance between good cybersecurity and good business.”
 
In all likelihood, the best practices captured in the framework will illustrate range of approaches to security implementation. This brings us to another sticky wicket: incentives. While there’s no certainty around the success another organization might have following another company’s lead, effective policies and procedures around risk management can contribute to a competitive position. There is no current barrier to sharing practices. So what is going to change? What will motivate the private sector to adopt new security standards voluntarily? What role can the government play to facilitate the exchange?
 
For starters, they’re asking for input. The Departments of Homeland Security, Commerce and Treasury are working together to report on industry incentives. The Commerce Department posted a Notice of Inquiry on incentives for getting industry involved in the framework development process. Public comments are open until April 29, 2013.
 
Beyond that, several multiday workshops are being scheduled. The next session will be hosted at Carnegie Mellon, held from May 19th through 31st. Other sessions will be held in July and September, further informing the framework. The first draft of the framework is due in October 2013, allowing 8 months from the release of the executive order for draft to be crafted.

NASW’s Social Work Month coming to a close

This year’s annual Social Work Month and its theme of “Weaving Threads of Resilience and Advocacy” are coming to a close. The month-long event, which is spearheaded by the National Association of Social Workers (

NASW), has been celebrated each year since the 1960s, and is an opportunity for communities nationwide to highlight the profession and the important contributions social workers make each day. 
 
NASW is the largest membership organization of professional social workers in the nation. Its mission is to enhance professional growth and development of its members, create and maintain professional standards, and advance sound social policies. To honor Social Work Month, Deltek is taking a look at how New Mexico has immensely improved its Child Support Enforcement Division.
 
In June 2012, New Mexico was recognized by the National Child Support Enforcement Association (NCSEA) for having the most improved child support enforcement program in the country. The award is determined through an extensive look at a state’s child support program performance over three years to ensure consistent, broad-based improvement. In that time, New Mexico improved its Paternity Establishment Percentage (from 54th in the nation to 29th). The state’s child support enforcement system, eChild, is a Web-based solution that works in conjunction with the existing state legacy mainframe. New Mexico contracted with Health Management Systems in June 2012 to provide child support enforcement customer service.
 
New Mexico’s Child Support Enforcement Division (CSED) continues to provide child support enforcement services to the general public, as well as recipients of Temporary Assistance for Needy Families (TANF) and Medicaid. The mission of CSED is to reduce the impact of poverty on people living in New Mexico by providing support services that assist families in breaking the cycle of dependency on public assistance.
 
To learn more about New Mexico and other social services-related projects throughout the country, check out Deltek’s Vertical Profiles. Non-subscribers can learn more about GovWin IQ and sign up for a free trial here.

Agencies Struggle to Handle Big Data Challenges

I had the opportunity recently to attend an excellent conference hosted by the Technology Training Corporation. This conference, called the “Government Big Data Symposium,” meets every year at the Holiday Inn in Arlington, Virginia. Organizer Marcus Min and his people do a fantastic job assembling a roster of government officials and industry experts to discuss big data challenges, solutions, and applications. This year’s symposium was solid as always, yielding a number of insights that help put attendees’ fingers on the pulse of big data projects and initiatives at federal agencies. Here are a few of the major themes discussed during the conference that I found interesting.
The Data Tsunami Continues to Grow
Anyone involved in either analyzing big data or in selling solutions feels this problem on a daily basis. Several of this year’s speakers emphasized that federal agencies with scientific missions are already at or past the point of Petascale computing. The challenge of handling this data has become acute at even relatively small agencies like the National Oceanic and Atmospheric Administration (NOAA). Dr. Mark Luker of the Networking and Information Technology Research and Development (NITRD) Program pointed out that NOAA’s data demands are compelling it to add 30 Petabytes of storage per year to archive its data. This massive inflow of data is only expected to increase.
Take the example of NOAA and apply it to larger agencies like the Department of Energy and National Aeronautics and Space Administration (NASA) and you will quickly see that the challenge of big data is not going away. This challenge presents a real business opportunity for vendors. Agencies are so reliant on data to accomplish their missions that storage vendors are in the enviable position of providing capacity that is not only desired, it is mission-critical. Similarly, those providing analytics are seeing an uptick in interest as agency personnel grapple with the problem of too much data. Finally, lest services vendors feel left out, agencies are in need of consulting services and data analysis services like never before as they try to understand how to incorporate the next generation of analytical tools into their IT environments.
The Changing Complexion of Solution Sets
Since discussion of big data arose a few years back it has become common to hear about the need for data scientists. Ideally these specialists would belong to an integrated team of professionals that parse and analyze data to enable valuable business decisions. This approach remains a best practice, but it presents federal agencies with a couple of significant challenges: a shortage of trained personnel and increased costs. Not only is the data scientist a rare breed that is in demand in both the public and private sectors, he/she also commands a good salary. In the current environment of fiscal austerity, finding and employing data scientists raises the bar for agencies seeking to invest in big data solutions.
Advancing technology is addressing this challenge, however, by providing alternatives that do not require specialized personnel to operate. Tableau would be one of these. As Sean Brophy of Tableau explained to me at the TTC Government Big Data Symposium, his company’s solution provides visualization capabilities for non-IT specialists, making it easy to use and reducing the need for agency spending on specialized personnel. I do not endorse one commercial solution or another, but it struck me that gearing solutions to non-specialists is the smart way to go for analytics vendors seeking to increase their share of the market in a fiscally constrained environment.
Cloud Computing and Big Data Come Together
Another common theme at the symposium was the growing nexus of cloud computing and big data solutions. Representatives from multiple agencies expressed interest in employing big data solutions in the cloud. NASA Chief Technology Officer, Dr. Sasi Pillay, emphasized that the agency is poised to significantly increase its investment in commercial cloud computing solutions. Michael Simcock, Chief Data Architect at Homeland Security (DHS) also said that his department is interested in making greater use of cloud for big data solutions. The only caveat was that the solution will be hosted in a private cloud. DHS will not use a public cloud for big data.
My impression from speaker comments is that the importance of the cloud for growth in federal big data investments cannot be understated. Cloud computing offers a relatively simple way to acquire the required solutions. Cloud computing can also scale up computing power on demand. For example, Dr. Nancy Grady of SAIC described a proprietary solution that automatically senses a processing load in the data queue and spins up (or down) the required number of machines to get the job done. Given the interest at federal agencies to acquire greater computing power on demand it sure looks like this will be an area of continued agency investment for years to come.

eHealth Initiative’s Annual Conference: moneyball and big data

As eHealth Initiative’s Annual Conference kicked off last Tuesday in Orlando, Fla., it was clear that the two-day event would offer a candid forum for health care leaders, state representatives and vendors to share the highs and lows, as well as what lies ahead in the ever-shifting world of health information technology.
 
eHealth Initiative Chief Executive Officer Jennifer Bordenick’s welcome address focused heavily on the perseverance the health care industry must have to achieve meaningful, lasting results. Despite major breakthroughs in innovation over the last several years, she said the industry is “starting to see some cracks around the edges.” Bordenick emphasized the uncertainty that surrounds health IT as well as the frustration felt by the private and public sector struggling to implement health care reform, ICD-10 and meaningful use amid strapped budgets and failed projects. She didn’t sugarcoat the introduction; the conference would be a place to discuss successes and pitfalls with “brutal honesty and humility.”
 
Still, Bordenick’s ultimate message was one of hope and encouragement. She took a few minutes to highlight a renowned group of political and cultural icons, all who experienced major defeats before breaking ground – Abraham Lincoln, Steve Jobs, Steven Spielberg, Michael Jordan and Jerry Seinfeld.
 
“It’s not about just getting it right,” said Bordenick. “It’s about perseverance – taking the time to get it right.”
  
In his keynote address, Optum’s Group Executive Vice President Andrew Slavitt discussed the opportunities and challenges of technology and big data. He said the good news is that the next generation of providers expects to use technology in their jobs instead avoiding it. The challenge is that geographic adoption of technology could get worse as more technologies are introduced, due to limited resources.
 
Slavitt said current health technologies are being built to fulfill the needs of the old world instead of the new, and emphasized the importance of understanding the needs of the dual eligible population – about 10 million Americans who qualify for both Medicare and Medicaid, and “whose health and social needs are at the root of almost everyone’s health care costs.”
 
According to Slavitt, the health care industry would benefit from adopting a moneyball approach to data analytics. For those unfamiliar with Michael Lewis’ book or the 2011 motion picture starring Brad Pitt, moneyball refers to how baseball’s Oakland Athletics used heavy analytics to assemble a team who went on to win a majority of games in 2001 on a limited budget. Instead of relying on typical batting averages and game statistics, the A’s professionalized data and analytics, and developed a data strategy.
 
Slavitt also noted that adoption and implementation of technology will accelerate once data speaks the language of margin and marketshare. He said with a moneyball approach and investment in health IT, keeping one in five dual eligible individuals in their homes instead of health institutions is an achievable goal, and one that would drastically reduce the $360 billion spent on their care.
 
In closing his address, Slavitt asked the crowd if big data was hype (more promise than will be realized), a fad (gone in five years), or a trend (true, lasting change). While the majority of the attendees believed big data to be a trend, Slavitt leaned toward hype. He said at this time, big data has a major lack of interoperability, standards, severity data, and linked data, all of which “hurts patient care” and “drains the usefulness out of data.” He said until a solution achieves these needed components, the risks of big data can be compared to “playing with fire.”
 
To read more about the eHealth Initiative Annual Conference, please read the full analyst recap.

The waiting game is over: States must act on Obamacare

“The law is the law, whether you like it or not. It doesn’t matter if you like it. It’s the damn law.” 

Many governors and insurance department heads awoke this morning with Mississippi Insurance Commissioner Mike Chaney’s words ringing true after last night’s reelection of President Obama. States holding out for a change in federal leadership on health reform now have fast decisions to make. The numbers are staggering for Mississippi: one in five people lack health insurance; it leads the “States of Misery” in health, poverty, and crime statistics; and has the highest level of obesity in the country at 34.9 percent. Despite Governor Phil Bryant calling for a stall on Obamacare, Chaney is creating a health insurance exchange (HIX) under his own authority, and with an Obama victory, plans to file a blueprint on November 16, unless he receives a court order from “some idiot out there trying to stop me.” Though his words could be considered somewhat crude, the logic behind them is solid: State’s ignoring the law does not mean the law disappears, and these words come from someone against Obamacare.

 

Exit polls from last night showed that roughly a third of voters listed health care as an important factor in their vote. Despite Obama being reelected, several states had voter efforts approved to limit Obamacare, including Missouri, Alabama, Wyoming, Florida, and Montana. Although some states were opposed to health care reform from the beginning, those that started the exchange planning process are finding that they have run out of time, and will likely adopt the federal exchange until a state-based exchange can be built.

 

With a scramble to hit the 2014 deadline, procurement strategies may be expedited, like Connecticut’s sole-source award to Deloitte for both its HIX and its integrated eligibility system. Expect to see even the early innovators relying heavily on federal hub resources for the first enrollment period. As Chaney pointed out, there is no more waiting; the Affordable Care Act is the law. Deltek will be watching as blueprints are submitted to the Center for Consumer Information and Insurance Oversight by November 16, 2012, and how federal-state relationships play out as the nation addresses health care reform.

 

As always, be sure to follow Deltek’s Health Care and Social Services Team on Twitter @GovWin_HHS, or connect with us through LinkedIN. Stay tuned for more information around a new Health Insurance Exchange Vertical Profile addition in the near future!

 

 

Defining Big Data

We’ve seen so much hype around Big Data and an equal amount of confusion about what it is. Vendors jumping on the bandwagon and spinning their own definition and value prop to fit their technology offering has only muddied the waters. Last week, TechAmerica Foundation released its Big Data report which sought to define Big Data and demonstrate the value of it in government. The problem is that everyone is treating Big Data like it is a new technology or a new market, when in fact, it is not.
TechAmerica Foundation’s Big Data Commission’s report, entitled “Demystifying Big Data: A Practical Guide to Transforming the Business of Government” does a great service in labeling it as a “phenomena” of the rapid acceleration in the expanding volume of high velocity, complex, and diverse types of data. “Big Data” is just that: Big Data. The phenomena of a mass amount of data that is complex, diverse and could be useful in near real-time if only it could be harnessed. The real value in harnessing it comes when it can be used to make better business decisions.
No one will pay any attention or spend a dime to amass, or transform, or store, or analyze data if it can’t produce some value in terms of making decisions that produce a valuable result, either tangible (ROI or $ value) or intangible, such as better customer service that eventually results in greater competitiveness.
Big Data is not a market. And Big Data is not a technology. But, of course, technologies are to be used to turn that data, much of it unstructured, into information and knowledge and insight that can be used to produce business value.  The Commission’s definitional statements go on to say that ”capturing the opportunity requires advanced techniques and technologies to enable the capture, storage, distribution, management, and analysis of the information.”
The report is visionary and draws a comparison to the term “eBusiness” and how it faded away as IT transformed companies and doing business electronically became a primary means of getting business done efficiently. Big Data will be the same way. It will fall by the wayside, eventually, when it becomes standard practice to think about, plan for, and architect for harnessing data and producing decision-making value from it. And the report puts forth ways to get there, such as starting with what you have, being iterative, showing value with short-term projects (rather than boiling the ocean), training data scientists and putting leadership in place to champion it.
The report is also includes some practical advice for the federal government.  It outlines how Big Data can be used to address key issues facing federal agencies and gives some case studies. It also provides a roadmap and a common framework for policy discussions and to begin planning efforts.
With this good visionary foundation, look for more to come from TechAmerica's new Big Data Subcommittee as well as an upcoming report from Deltek.

 

TTC’s Big Data in Government Conference provides Insight into the Federal Big Data Market

At the Second Annual Big Data in Government Conference hosted by the Technology Training Corporation on September 18-19, industry experts provided insight into where big data efforts might be likely to appear first in the federal market. This insight includes understanding which agencies have real-time analytical requirements and what types of data agencies are handling so that conversations with potential federal customers can be focused in the right direction.
On 18-19 September 2012, the Technology Training Corporation held its second annual conference on Big Data in Government. The conference brought together big data experts from industry and the federal government to discuss the current state of the technology, the ways it can be used, and what future use cases for it may be. The conference was well-organized by Marcus Min and the TTC staff and attended by about 200 people, including academicians, agency IT personnel, industry solutions architects, and IT specialists. The presentations balanced theoretical discussions of the data deluge problem with practical solutions to the challenges posed by gathering, storing, and analyzing massive data sets. Too many subjects were discussed during the conference to summarize in one short blog. Therefore, I will touch on a couple of the more interesting points raised by the speakers and share some of their insights.
Defining Big Data
By now most readers are probably familiar with Gartner’s definition of big data as massive data sets which have volume, velocity, and variety (a.k.a. complexity). There are, of course, other characteristics that could be listed, including veracity, value, and completeness. Dr. Ashit Talukder, Chief of the Information Access Division at the National Institute of Standards and Technology (NIST), built on the Gartner definition of big data at the conference by offering a definition of his own. Since federal agencies tend to look to NIST for clarification of technology issues, it is worth taking a moment to understand the NIST work definition of big data. Talukder referred to big data as data sets that are either static or dynamic and are so large that traditional computing platforms or tools can no longer capture, store, share, analyze, and visualize their contents to offer new knowledge or answers.
The massive size of the data sets that federal agencies need to handle garners most of the attention nowadays. Indeed, surveillance data is flowing into the Department of Defense in unimaginable quantities. Alan Shaffer, Principal Deputy, OASD for Research and Engineering at the DoD explained that data streaming from operational theaters was already amounting to 270 terabytes per year in 2006. Given the increased use of battlefield sensors, mobile devices, and surveillance drones, imagine how the volume of data has grown in the 6 years since that time.
However, data set size is not the only big data challenge. The increasing complexity of the data is also a problem. For example, much of the data flowing to the DoD arrives in the form of high definition imagery from drones and satellites. This type of data is often called “unstructured” because it flows in raw form and requires organizing and tagging. This data needs to be evaluated alongside voice data, text data, and human intelligence to provide an accurate holistic picture. Accuracy is the real issue here because accuracy of analysis enables informed decisions by military and political leaders. Herein lies the big data rub, increasingly complex data sets challenge the ability of government analysts to deliver accurate assessments, thus impeding the ability of leaders to make data-based decisions.
Then there is the issue of data velocity. The federal government’s ability to sense and gather data has grown beyond the ability of current IT systems to handle it. This is especially true in cases when data needs to be analyzed as quickly as possible to thwart real-time threats like terrorism. Big data, therefore, is not only “big”, it is also complex and accumulating quickly.
Defining Agency Big Data Requirements
Conference speakers provided additional insight into how to determine the level of need that agencies might have for big data solutions. There are two basic factors to take into account. First, what type(s) of data is the agency accumulating? The answer to this question is important because some data sets are easier to work with than others. Take for example social media monitoring for keywords to determine public health trends.  Dr. Taha Kass-Hout, Director of the Division of Informatics Solutions and Operations at the Centers for Disease Control and Prevention said that the CDC is scouring social media sites looking for tweets and other messages indicating outbreaks of influenza and other illnesses. Collecting and analyzing twitter feeds is much easier than collecting and analyzing terabytes of high-definition GIS and surveillance imagery from airborne drones. Not only is social media data smaller in volume than HD imagery, it also can be structured and tagged for analysis more quickly. Second, how does the agency intend to use the data? Is the intent to do real-time analysis on the data or analysis on stored data for, say, reporting purposes? The real-time analysis of big data requires significant up-front computing power and parallel storage (one repository for the raw data and one for the in-memory data being manipulated in analysis).

To sum up, if a given agency is dealing with a deluge of data that it needs to analyze in real-time, you can probably bet that agency will have a more pressing need for a big data solution and may be more inclined to fund an investment immediately.  The agency with the "less pressing" data analysis need is likely going to be able to start with a smaller big data investment.  This agency may initially buy a small number of commodity servers for processing and some advanced analytics software with visualization capabilities before moving to a larger system.  In comparison, the agency with the more pressing big data requirement may make a larger initial investment and require consulting support to understand the kind of investment they need to make.  Therefore, understanding the type of data being accumulated and the real-time versus post-storage analytical requirement are hints suggesting where big data sales and discussion efforts at federal agencies should be focused.

 

Observing National Health IT Week – Day 3

During the Medicaid Enterprise Systems Conference (MESC) in August, Massachusetts representatives held several presentations updating attendees on the state’s progress in implementing a statewide health information exchange (HIE). As with most other states, Massachusetts’ Medicaid agency has been the most active stakeholder in planning. In a survey of 27 states regarding HIE planning, 15 were using a mixed technical approach, with seven having a single statewide health information organization (HIO), and five states connecting local nodes. Massachusetts’ Medicaid-centric HIE was Medicaid funded, which freed up Office of National Coordinator grants for its Last Mile Program, which allows EHR connections directly through a local access network distribution (LAND). There will also be a Web browser solution to connect to the HIE for organizations that cannot stand up their own IT infrastructure.

 

The first phase for Massachusetts’ HIE focuses on breadth vs. depth and developing the infrastructure needed to connect the state’s 13 regional HIEs. The first phase is estimated to go live on October 15, 2012. The second phase will focus on analytics and population health, and the third phase will include search and retrieval capacity for medical information. The state estimates that it has delivered more than $101 million in electronic health record (EHR) incentives.

 

Massachusetts has found that 80 percent of the EHR market is covered by seven vendors, with nine vendors covering 90 percent of the market. Only one vendor currently includes a connection to NHIN (National Health Information Network) Direct, and most surveyed by the state did not have a plan for when they would have that capability. When Massachusetts began its health care reform, 70 percent of its citizens supported the initiative, but continuing costs and national debate have since increased public cynicism. Through its implementation, Massachusetts has learned that, if we build it, they may not come. Agencies need to have good policy in place, community and legislative support, and cultural support to ensure future success in the HIT arena.

Observing National Health IT Week – Day 2

On this second day of National Health IT Week, we shine light on an important component of health IT projects that often falls under the radar: independent verification & validation (IV&V) services.
A successful IV&V vendor is an integral part of any health IT or other software implementation project. While contracted independently of systems implementation technology contracts, IV&V vendors must work seamlessly with said vendors to ensure successful delivery of an end product. To ensure a seamless planning, development and implementation process, IV&V vendors must be procured and engaged early in the systems implementation process to avoid having to identify and fix hiccups at the end of a project. 
With so many health IT projects being implemented by states today, IV&V vendors play a critical role in ensuring states are adhering to the Centers for Medicare and Medicaid Services’ (CMS) Seven Standards and Conditions (SSC) that are necessary to obtain enhanced 90/10 federal funding for system upgrades and replacements. Such ongoing verification and validation of a project helps ensure that the end result of a project actually achieves what it set out to achieve when funding was allocated.
A number of states have upcoming procurement opportunities for IV&V vendors working or looking to work in the health IT space, including Florida, Vermont, the District of Columbia, and Tennessee, among others. Recent IV&V contract awards for health IT projects include Public Consulting Group in Rhode Island, Nevada and Iowa, and MAXIMUS in North Carolina.
Stay tuned for more from the Health Care and Social Services Team as we continue to observe National Health IT Week! In the meantime, check us out on Twitter and LinkedIn.

 

National Health IT Week kicks off

The seventh annual National Health IT Week kicks off today. The purpose of the weeklong event is to provide a collaborative forum where public and private health care constituents work together to educate industry and policy stakeholders on the value of health IT and the U.S. health care system. Deltek will be celebrating National Health IT Week with a blog series highlighting upcoming health IT opportunities across the United States.
The first state we’re examining is Nevada. Back in December 2011, the state’s Department of Health Care Policy and Financing revealed plans to replace its Medicaid management information system (MMIS). At the same time, HP was awarded a contract to take over and operate the existing Nevada MMIS. The five-year base contract (with two, two-year renewal options) included service support for the core MMIS, peripheral systems/tools, Medicaid program claims processing, and program support services. The state plans to release a solicitation for Medical information technology architecture (MITA) 3.0 state self-assessment services (SSA) in November 2012.
Washington is another state looking to revamp its MMIS. The Washington Health Care Authority (HCA) released a request for information (RFI) in early August 2012, seeking information regarding fiscal/employer agent services. HCA, in conjunction with the Department of Social and Health Services (DSHS), is in the process of implementing the second phase of its MMIS, which is called ProviderOne. Phase two is expected to add social services payments to ProviderOne. The fiscal/employer agent will be expected to interface with ProviderOne. CNSI is the state’s current MMIS vendor, and will be providing the interface design, development and implementation services for the project.
Stay tuned for more highlighted health care projects from the Health Care and Social Services Team! In the meantime, check out the team’s Twitter and LinkedIn.

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