Health care

Comments on Article- “Predictive Analytics Showing the Shape of Things to Come”- The Australian June 25, 2013

The Australian newspaper had an interesting article on June 25, 2013 (http://tinyurl.com/mtah9ju) describing a number of successful predictive analytics applications, but also making the point that market penetration has been slow noting “… despite the numerous uses of predictive analytics, uptake is limited. According to Gartner, only 13 per cent of organisations report extensive use, while fewer than 3 per cent use prescriptive capabilities such as decision/mathematical modelling, simulation and optimisation market”. I posted brief summary comments today in response to the article and am pleased to share a complete copy of my comments:

Excellent article and clearly summarizes the challenges we face in educating management on how PA solutions can help companies improve performance and mitigate risk. I am pleased to share the following 3 observations. My comments are based on my position as former CEO of InferX Corporation, a publicly traded predictive analytics company, and serving as adjunct professor teaching MBA strategy courses in the RH Smith School of Business at the University of Maryland.

No. 1   Analytics complements ‘traditional management’

Define your mission; assess external environment and competition using PEST, Porter’s 5 Forces model, other tools; assess internal resources and capabilities; develop detailed value chain analysis; analyze product life cycles; develop cost leader/differentiation global strategies based on product, market, competition and other factors. Analytics can make a major contribution throughout the ‘traditional’ management process. Yet market analysis shows about 85% of the total PA market today addresses the CRM sector. We need to view PA within the context of traditional management rather than a separate ‘big data/analytics’ sector. Integrating PA into traditional management processes is a challenge and the real opportunity with high upside

No. 2   Analytics costs more

True. When the e-commerce revolution emerged years ago, we had major push back from companies who preferred to continue to process orders manually, work with suppliers using ad hoc systems, and avoid ‘costly’ new systems implementation and industry standards. Systems costs did increase, but we created process and performance efficiencies that improved profitability and reduced risk. Today’s analytics solutions demand understanding ROI (and how to measure) and clearly communicating this message.

No. 3    “Analytics Drives Strategy and Strategy Drives Analytics”

Properly executed and integrated into a company’s management processes, I see great opportunity to use analytics to drive strategy, particularly in shaping new product and market innovations to increase ROI. Look at Capital One, an analytics driven competitor reportedly doing 300+ analytic scenarios daily to optimize financial offerings. Or Progressive, capturing motorcycle rider clients using analytics to define a segment with both claims and expense ratios providing strong returns. Amazon, Netflix and many others are using analytics to drive ‘micro-marketing segmentation’ which is where we are heading. And these new strategies create new analytics, enabling analytics- savvy companies such as Amazon to continue to excel.

Clearly all ‘analytics solutions’ providers, a term I prefer to emphasize PA’s broader role, have a challenge ahead- to educate clients, particularly at the ‘C’ level, on the opportunities embracing these solutions and the challenges they will face if they do not. Exciting times lie ahead in the global analytics solutions business for both solutions providers and all companies in all sectors.

Paul B. Silverman

 

Paul B. Silverman writes about entrepreneurship, healthcare, analytics, and strategy management and serves as Advisor, Speaker, Educator, and Managing Partner of the Gemini Business Group, LLC, a new venture development firm, and author of “8 Building Blocks To Launch, Manage, And Grow A Successful Business.” He also serves as Adjunct Professor in the School of Business at George Mason University. See more at Paul B. Silverman Blog and sign up for Entrepreneurship Today! email updates to track latest new venture developments.

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Posted Comments on WSJ Article-“Can Data From Your Fitbit Transform Medicine?”

Posted comments on June 23rd WSJ Technology article addressing telemedicine – I follow this area and emphasized need to do more to develop telemedicine in the United States

We lag most developed countries in the telemedicine arena which reduces the quality of our healthcare system and increases costs

You can see the WSJ article and my comments at

http://online.wsj.com/articles/health-data-at-hand-with-trackers-1403561237?mod=djem10point

Here is a copy of comments I posted:

A winning formula- integrate telemedicine into patient’s EHRs. Mayo Clinic problems shows challenges. We are going in the wrong direction here. Three strategies to fully leverage telemedicine:1.Establish standards integrating remote monitoring devices with EHRs. The ACA ensures ‘meaningful use’ of EHRs. Well defined standards jumpstarts the remote health monitoring market moving from niche focus  2. Use analytics to emphasize benefits. Powerful analytics assess health issues and develop optimized treatment plans. For what is emerging, check out comments I posted on a healthsystemCIO.com site Posting HealthSystemsCIO.com. 3. Pro-actively address security concerns. “Tops down” national initiative emphasizing benefits- prenatal care, chronic conditions, improved outcomes particularly in rural areas with 25% of population but only 10% of physicians. Need to counter serious security concerns. e.g., April 26th guidelines from the Federation of State Medical Boards which can hamper growth.

Paul B. Silverman

 

Paul B. Silverman writes about entrepreneurship, healthcare, analytics, and strategy management and serves as Advisor, Speaker, Educator, and Managing Partner of the Gemini Business Group, LLC, a new venture development firm, and author of “8 Building Blocks To Launch, Manage, And Grow A Successful Business.” He also serves as Adjunct Professor in the School of Business at George Mason University. See more at Paul B. Silverman Blog and sign up for Entrepreneurship Today! email updates to track latest new venture developments.

 

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Comments- Are Analytics Shifting from Executives to Employees?

Interesting article in Information Management Feb 6th issue  discussing how analytics decisions are being driven by mid-level staff rather than C-level executives. But analytics demands resources- what analytics should be pursued; how should analytics be deployed to increase revenue, decrease costs, and improve strategic position; what are the company’s key competitive peer group metrics? These are C-level not middle management decisions. Analytics, effectively deployed, can provide high ROI, but successful adoption typically demands C-level participation.

My comments noted no question there is a C-level gap in in understanding how analytics drives increased revenue, decreased costs, and improved strategic position. The concept of “analytics competitor,” mentioned in Tom Davenport’s writings (Competing on Analytics, others) emphasize that “C-level” analytics, creatively applied, helps companies create winning strategies- examples which I have used in MBA courses are Netflix, Progressive, and even Cirque du Soleil which created a new ‘circus/theater’ market sector- if you wonder why you don’t see three circus rings or elephants, analytics played a key role in these and many other decisions. Worthwhile reading. Key point- C-level management teams that understand the power of analytics driving new business strategy will achieve above average returns and a competitive edge. “Tops-down” thinking and unfortunately missed by many.

Secondly, no doubt there is a ‘massive treasure trove of data’ available- big data is a resource, not a solution. Analytics are the tool to leverage ‘big data” to improve key metrics, e.g., revenue, costs, strategic position, and so on. And no doubt analytics supports and improves workforce operational decisions… Read more including perspectives on analytics in the healthcare sector at http://tinyurl.com/mw674t8

 

Paul B. Silverman writes about entrepreneurship, healthcare, analytics, and strategy management and serves as Advisor, Speaker, Educator, and Managing Partner of the Gemini Business Group, LLC, a new venture development firm, and author of “8 Building Blocks To Launch, Manage, And Grow A Successful Business.” He also serves as Adjunct Professor in the School of Business at George Mason University. See more at Paul B. Silverman Blog and sign up for Entrepreneurship Today! email updates to track latest new venture developments.

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Good Analytics Article- “…Reaping Returns from Analytics”

Good insightful article in the October 18, 2013 issue of Information Management on analytics by Narendra Mulani who is Managing Director of Accenture Analytics. I posted comments sharing some additional perspectives and related opportunities I foresee. One clear message here- the analytics market is positioned for major growth and as I noted in my comment related to healthcare analytics, today we are only seeing the ‘tip of the iceberg’ in this sector.

Check out at http://tinyurl.com/nyrd8q2

Here is a copy of the comments I posted:

Excellent article. I am pleased to share some comments based on my experience in the analytics arena.

Analytics clearly provide powerful tools to optimize business processes and value chain functions. What is often overlooked is understanding the impact of external and industry factors critical to maximize performance and mitigate risk. Some studies, for example, show that external factors have a 45 percent impact on ROA. Ignore these, and your analytics may address only 55 percent of the critical performance and risk drivers.

How will global environmental policies impact your business; what is impact of changing healthcare regulations on new drug development and clinical trials; what new market opportunities are projected based on disruptive innovation in your business; how will privacy and transborder data restrictions impact your business today and tomorrow. These are external drivers which can create new markets and ‘destroy’ existing ones.

Addressing how the external environment impacts your business demands analytics addressing STEEP analysis, Porter’s Five Forces, Peer Group modeling, and similar diagnostics. And these are not static analyses- change is the only constant in today’s global environment, and having current data is critical. The winning formula- couple traditional external analysis tools, such as STEEP, with unstructured exogenous data analytics provides dynamic, real time insights on external market and business portfolio impact. Integrate these insights with internal data analytics to develop ‘actionable’ analytics. Today’s fiercely competitive global markets demands this analytics rigor.

One interesting statistic suggests 85 percent of today’s analytics solutions address CRM applications, improving the performance and operations dealing with customers and related supply chain activities. The remaining 15 percent are emerging exciting analytics directions that offer exciting opportunities.

For example, in the legal arena, Technology-Assisted Review or “TAR”, uses computer models, machine learning, and analytics to sort millions of documents identifying relevant and privileged documents to support litigation with dramatic cost savings. TAR technologies are rapidly evolving and the acceptance of TAR is now being tested in state and Federal courts.

Analytics will also play an expanded role in traditional corporate strategy management. Fortune 500 companies have thousands of business portfolios often managed using traditional analytics, e.g., hurdle rates, IRR, others. Understanding with precision how these individual portfolios align with the Company’s overall strategic plan, what are the overall projection risks, where are the corporate exposures based on both internal and external factors, are the exciting new directions being pursued by leading edge companies.

While analytics applications in healthcare are accelerating, we are at the tip of the iceberg. Using machine learning to optimize clinical care and reduce longitudinal costs for patient care; integrating healthcare claims data, EHR and genomic data to evaluate patient outlook for both clinical and insurance applications; tracking and analyzing medications and vital signs to assess drug efficacy and adverse effects for drug trial screening; are some of the many exciting new directions we see emerging that will redefine today’s healthcare system improving both quality and cost performance.

Senior management will be challenged to understand these new analytics applications to improve their global performance and mitigate risk. Even business schools must adapt- new analytics tools are reshaping our traditional approach to strategy development and competitive analysis.

Clearly exciting times lie ahead for all players in the global analytics market

Paul B. Silverman writes about entrepreneurship, healthcare, analytics, and strategy management and serves as Advisor, Speaker, Educator, and Managing Partner of the Gemini Business Group, LLC, a new venture development firm, and author of “8 Building Blocks To Launch, Manage, And Grow A Successful Business.” He also serves as Adjunct Professor in the School of Business at George Mason University. See more at Paul B. Silverman Blog and sign up for Entrepreneurship Today! email updates to track latest new venture developments.

Paul B. Silverman

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Comments on Article- “Predictive analytics showing the shape of things to come”- The Australian June 25, 2013

The Australian newspaper had an interesting article on June 25, 2013 (http://tinyurl.com/mtah9ju) describing a number of successful predictive analytics applications, but also making the point that market penetration has been slow noting “… despite the numerous uses of predictive analytics, uptake is limited. According to Gartner, only 13 per cent of organisations report extensive use, while fewer than 3 per cent use prescriptive capabilities such as decision/mathematical modelling, simulation and optimisation market”. I posted brief summary comments today in response to the article and am pleased to share a complete copy of my comments:

Excellent article and clearly summarizes the challenges we face in educating management on how PA solutions can help companies improve performance and mitigate risk. I am pleased to share the following 3 observations. My comments are based on my position as CEO of InferX Corporation, a publicly traded predictive analytics company, and serving as adjunct professor teaching MBA strategy courses in the RH Smith School of Business at the University of Maryland.

No. 1   Analytics complements ‘traditional management’

Define your mission; assess external environment and competition using PEST, Porter’s 5 Forces model, other tools; assess internal resources and capabilities; develop detailed value chain analysis; analyze product life cycles; develop cost leader/differentiation global strategies based on product, market, competition and other factors. Analytics can make a major contribution throughout the ‘traditional’ management process. Yet market analysis shows about 85% of the total PA market today addresses the CRM sector. We need to view PA within the context of traditional management rather than a separate ‘big data/analytics’ sector. Integrating PA into traditional management processes is a challenge and the real opportunity with high upside

No. 2   Analytics costs more

True. When the e-commerce revolution emerged years ago, we had major push back from companies who preferred to continue to process orders manually, work with suppliers using ad hoc systems, and avoid ‘costly’ new systems implementation and industry standards. Systems costs did increase, but we created process and performance efficiencies that improved profitability and reduced risk. Today’s analytics solutions demand understanding ROI (and how to measure) and clearly communicating this message.

No. 3    “Analytics Drives Strategy and Strategy Drives Analytics”

Properly executed and integrated into a company’s management processes, I see great opportunity to use analytics to drive strategy, particularly in shaping new product and market innovations to increase ROI. Look at Capital One, an analytics driven competitor reportedly doing 300+ analytic scenarios daily to optimize financial offerings. Or Progressive, capturing motorcycle rider clients using analytics to define a segment with both claims and expense ratios providing strong returns. Amazon, Netflix and many others are using analytics to drive ‘micro-marketing segmentation’ which is where we are heading. And these new strategies create new analytics, enabling analytics- savvy companies such as Amazon to continue to excel.

Clearly all ‘analytics solutions’ providers, a term I prefer to emphasize PA’s broader role, have a challenge ahead- to educate clients, particularly at the ‘C’ level, on the opportunities embracing these solutions and the challenges they will face if they do not. Exciting times lie ahead in the global analytics solutions business for both solutions providers and all companies in all sectors.

Paul B. Silverman

President and CEO

InferX Corporation (OTC/PK: NFRX)

 

Paul B. Silverman writes about entrepreneurship, healthcare, analytics, and strategy management and serves as Advisor, Speaker, Educator, and Managing Partner of the Gemini Business Group, LLC, a new venture development firm, and author of “8 Building Blocks To Launch, Manage, And Grow A Successful Business.” He also serves as Adjunct Professor in the School of Business at George Mason University. See more at Paul B. Silverman Blog and sign up for Entrepreneurship Today! email updates to track latest new venture developments.

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THE ‘SUGGESTIVE’ VS. ‘PREDICTIVE’ ANALYTICS ISSUE

I posted comments on the HealthCIO.com site in response to article suggesting ‘suggestive’ rather than ‘predictive’ analytics (“PA”) provides real, demonstrable benefits and that, rather than PA,  should be today’s primary focus. My point is with the proper vision and commitments here, PA tools offer powerful, exciting new tools to improve health care, both from patient care and financial perspective, reducing claims fraud and improving processes.And these same tools are spawning exciting new ‘analytics-centric’ ventures which I see as a high potential new venture sector and is one of my focus areas.

You can visit the HealthCIO.com site to see the original article “A Suggestion About Predictive Analytics” at http://tinyurl.com/7nw6twd and also see a reply to my comments. Copy of my comments follows:

Paul says:

‘SUGGESTIVE’ AND ‘PREDICTIVE’ ANALYTICS WILL BOTH HELP IMPROVE HEALTH CARE
Thanks for sharing your insights. As a former CEO of a predictive analytics company, and currently leading a new ‘analytics-centric’ leading edge, personal health and wellness company, among other activities, I am pleased to also contribute my perspectives here.
I like your idea of contrasting Suggestive vs. Predictive Analytics- there is obvious proven benefit in using analytics to improve quality at the point of patient care.
With regard to predictive analytics, I am pleased to offer comments:
–Predictive analytics is often muddled in with other statistical tools as you say, it is often difficult to appreciate and understand just how powerful these tools are and what is their specific contribution
–Rather than saying there are two flavors of PA, “easy and hard”, I suggest a better approach is to say there are two PA target opportunity areas in health care (and also in other sectors):
— Using PA to analyze the “known unknowns” – all of the patient treatment enhancements you described fall into this category- addressing known issues and processes, using analytics to improve processes, quality of care, and doing this more efficiently and at lower cost.
—Using PA to analyze the “unknown unknowns” – this is the real and power of predictive analytics and I believe really offers high upside for all health care players, and patients as well
–Look at the magnitude of today’s health care issues. As one example, increasing complexity of medication regimens used by patients, coupled with a fragmented health care system involving multiple prescribers, has made the occurrence of serious drug-drug interactions more likely today than ever before. For example, one study suggests Preventable Adverse Drug Events injure 1.5 million people a year, costs the U.S. healthcare system $3.5 billion and resulting in an estimated 44,000 to 98,000 deaths every year. Some studies show even higher numbers.
–Our aging population exacerbates the above issues. Studies show 41 percent of seniors take
5 or more prescription medications, and more than half has 2 or more prescribing physicians. And 24 percent- about 1 out of 4 – seniors having 3 or more chronic conditions have not shared information with their health care providers during the last 12 months. No wonder medication errors among seniors on Medicare are estimated at almost $900 million.

–We can use the real power of PA to better understand the “unknown-unknown” drivers here that are impacting our health care system, and create powerful new tools, improved processes and do this more efficiently while improving patient care.

–The “unknown-unknown” data I would like to see addresses questions such as why do we have adverse drug events; what are the rules we should be looking at and changing to reduce these events save lives, and reduce health costs; what are the underlying drivers and patterns for adverse drug events- do these vary by geography, treatment modalities, user demographics, specific types of medical facilities, maybe how and where medical practitioners are trained. “Unknown-unknowns” may, for example, identify certain treatment modalities and drug regimens used by select groups of medical professionals which drive adverse drug events. Predictive analytics, an inductive rather than deductive process, offers a powerful tool to help us identify these and many other critical underlying health care drivers.

I agree there are many PA projects that today may seem academic, but I do see great possibilities to improve our health care system, using powerful new predictive analytics computing tools and platforms coupled with more traditional analytics (both suggestive and deductive ‘rule based’ analytics), to dramatically improve the quality of our health care system. These new analytics and tools will address clinical issues such as the growing problem of adverse drug events, as well as addressing Medicare and other health care claims fraud and errors.

We are making progress, but I still believe we can be doing much more to achieve significant improvement in our nation’s health care system and very clear to me predictive analytics and other tools, with the proper vision and commitments, will play a substantive role.

Paul B. Silverman writes about entrepreneurship, healthcare, analytics, and strategy management and serves as Advisor, Speaker, Educator, and Managing Partner of the Gemini Business Group, LLC, a new venture development firm, and author of “8 Building Blocks To Launch, Manage, And Grow A Successful Business.” He also serves as Adjunct Professor in the School of Business at George Mason University. See more at Paul B. Silverman Blog and sign up for Entrepreneurship Today! email updates to track latest new venture developments.

 

v. is what we need to focus on to improve health care

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