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Big Data sheds light on pharma's 'Small Data' problems

Big Data sheds light on pharma's 'Small Data' problems | McInnis & Associates Consulting, LLC | Scoop.it

The best thing about the Big Data hype in pharma is how effectively it's shed light on all of the Small Data problems the industry is facing. The roots of the Big Data movement in pharma were innocent enough: challenges in storage, data access, and data analytics that organizations started seeing with shifts toward high-throughput screening and massive genomics data sets. But as Big Data became more and more mainstream, the range of business challenges that got slapped with the "Big Data" label started ranging further and further afield. Industry analysts noticed this quickly, redefining Big Data in terms of the three (or four) Vs--not just volume but also variety, velocity, and variability. Others have been quick to follow. At a recent conference on data-driven drug development, speaker after speaker stood up to talk about their approach to Big Data, and each speaker immediately qualified that they were speaking about the variety of data, rather than the volumeof data.ets, about relevant manufacturing or reimbursement concerns, etc. This is a typical "small data" problem. The information needed to form a complete understanding of the drug-development landscape is scattered across journal articles, grant and IP databases, regulatory filings, clinical trial results, and research presentations. Requirements also vary from one licensing opportunity to the next, meaning that there's no possibility to build a one-size-fits-all solution. The total data involved in this sort of competitive intelligence analysis may be relatively small--certainly no more than a few GB of data--but both the diversity of data and the value of this Small Data problem are enormous.

The most important data-related challenge facing pharma is to use data--any data--to make more and more critical business decisions. Most of these decisions don't need Big Data: they need the right data--whether Big or Small--and they need it at the right time.

 

There's a good reason for this. While it's true that voluminous Big Data problems are sexy and grab headlines easily with exotic talk of petabytes and exabytes, the number of people across a pharma company who actually deal with these volumes of information as part of their day-to-day job is vanishingly small. Put another way, while Big Data is a real problem, it's not a Big Problem. What is a Big Problem, on the other hand, is the challenge of dealing with the diverse variety of (small) data that's needed for decision-making throughout the drug discovery, development, and commercialization life cycles.

You might see analysts refer to this as the variety axis of Big Data, but the challenge is really around getting unified information access.

One aspect of this challenge that every pharma organization faces is in harmonizing data as it is aggregated. For example, any references to ALS, Lou Gehrig's disease, or amyotrophic lateral sclerosis need to be known as the same disease so that data about the disease from one source (e.g., pathway data) can then be integrated against other information from another source (e.g., affected population data).

Another aspect of this challenge is the extent of data diversity that faces pharma today. Any unified approach to data must take as broad an interpretation of relevant information as possible. That means information needs to include traditional structured data (e.g., pathway, target, and genomics databases, CDRs and CTMSs, or manufacturing, finance, and CRM systems), completely unstructured text content (e.g., trial protocol documents, in vivo assay write-ups, clinical case reports, or product perception in social media sites), and all sorts of semistructured sources in between (e.g., CRO-generated spreadsheet data or public NCBI XML data).

 

That kind of broad and deep view of data grants scientists, business analysts, safety officers, managers, directors, and executives access to the critical data that informs their decision-making, wherever the data may be. The process of harmonizing data may be internal, but the data itself may come from just about anywhere--CROs and CMOs, content vendors, even public data--and access needs to be timely. Decision makers can't afford to wait three months for an IT project to gain access to data needed for a decision due this week.

By allowing business users to get immediate and integrated access to all data relevant to critical business decisions, regardless of its location and format, pharma companies can gain a significant competitive advantage. For example, to maintain robust pipelines, Big Pharma continues to look for earlier- and earlier-stage drug candidates to license. But the earlier in development a compound is, the riskier a licensing deal can be. Mitigating this risk requires knowing as much about the candidate drug as possible: about its indication, about its mechanism of action, about competing products and development programs, about the IP landscape, about leading researchers in the area, about expected safety and efficacy targ


Read more: Big Data sheds light on pharma's 'Small Data' problems - FierceBiotechIT http://www.fiercebiotechit.com/story/big-data-sheds-light-pharmas-small-data-problems/2013-03-27#ixzz2PrlRnEyI
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Via Chaturika Jayadewa
Miguel McInnis's insight:

There are alot of lessons that hospitals and ambulatory care executives can learn from the experience of pharmaceutical executives as it pertains to dealing with Big Data. This article highlights the challenges of incorporating data from various sources to develop a comprehensive picture of the health care landscape. 

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The Role of Population Health in Managing High Risk Populations

The Role of Population Health in Managing High Risk Populations | McInnis & Associates Consulting, LLC | Scoop.it
Miguel McInnis's insight:

  by Miguel McInnis, MPH

 

Population health management (PHM) has made significant inroads due to the emergence of various integrated delivery systems including patient-centered medical homes, hospital-based readmission prevention programs and accountable care organizations. Population health is broadly defined as the health outcomes of specific groups of people, including the distribution of these outcomes within the group. These groups can be large geographic populations or smaller groups of people such as specific ethnic groups, disabled people, inmates in a prison and so on. PHM also involves providing a wide spectrum of healthcare services that are directed at behavioral changes and encouraging healthy lifestyles to obtain optimal outcomes.

 

PMH is increasingly being used to target high risk populations. The PHM approach exhibits a significant overlap with existing care management programs, but offers additional tactics to improve both clinical and financial outcomes of the target populations. Evolving PHM strategies and more complex care management interventions are being deployed and integrated to help case managers that are directly engaged in health activities to understand the changing landscape.

 

The PHM Model

 

The main aim of PHM is to improve health outcomes of groups of people by improving the quality of care, providing better access to care and increasing preventive care. PHM has the potential to improve the health care system while at the same time making significant cost reductions. The PHM model is based on utilizing teams of care givers such as care managers, attending physicians and a host of other providers and the patients’ family members. One of the hallmarks of the PHM model is its comprehensive nature and flexibility.

 

PHM has become more significant due to the shifting reimbursement strategies, including performance-based compensation. More hospital resources are being allocated to outpatient care as opposed to being mainly channeled to inpatients care as was previously the case. PHM requires stakeholders to leverage advances in technology including identifying relevant metrics that fit the needs of the target group, providing culturally competent support services and using various forms of communication.

Population Health Management systems are made up of several platforms:

 

Population Health Intelligence Platforms

 

Population health intelligence platforms are used to provide plan administrators and care teams with secure web-based access to comprehensive financial and clinical information. These platforms access clinical data and other patient data from multiple sources. They also give users easy access to predictive analysis, population risk stratification, hospital admission data, disease registries and referral data. The platform seamlessly connects to data warehouses that store third-party information.

 

 

Medical Management Systems

 

Medical management systems combine people and information to create highly personalized and effective services that are used to manage acute care management, chronic care management, wellness management and utilization management. Accurate integrated data is used by PHM systems to identify at-risk patients, track results, analyze care and support wellness management. This helps patients experience fewer hospital and emergency visits.

 

 Risk Stratification

 

PHM risk stratification tools are used to identify different population needs across all levels of risk and design the appropriate interventions to address the needs of the population across the entire continuum. These tools use demographics, care patterns, medical conditions and resource utilization to stratify patients into five main categories namely episode of care patients; high risk patients; chronically ill patients; healthy patients but with conditions and healthy patients. This information is used by medical providers in healthcare management and decision making.

 

Population Engagement

Population engagement services help in motivating patients to become partners in their own healthcare. The aim at building supportive and long-lasting relationships and use third-party data to identify patient needs and foster active relationships between PCPs or other healthcare providers and patients.

 

Predictive Analytics

 

Predictive analytics tools are used to model medical conditions within population to identify high risk patients long before they require expensive care and is a useful tool in budget planning.

 

Leveraging Healthcare Technology Advances

Healthcare technology has grown immensely in its ability to target high risk populations. One  the most dramatic uses of technology to reach patients with poor access to technology involves the implementation of telehealth. Telehealth is a broad term used to refer to advances in use of healthcare technology in practitioner training, deliverance of services and continuing medical education.

 

McInnis & Associates is a healthcare management consulting firm that specializes in delivering exceptional value by designing solutions that deliver consumer value as well as increasing revenue and market share. Additionally, we are healthcare experts in serving the needs of underserved populations. If you need any help in designing and implementing a PHM model to help you target high risk populations, please call us and we will be glad to share our insights with you.

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Ferguson’s Formula

Ferguson’s Formula | McInnis & Associates Consulting, LLC | Scoop.it
Business management magazine, blogs, case studies, articles, books, and webinars from Harvard Business Review, addressing today's topics and challenges in business management.
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Listen to Your Customers — Especially When They Disagree - Management Tip of the Day - March 13, 2014

Listen to Your Customers — Especially When They Disagree - Management Tip of the Day - March 13, 2014 | McInnis & Associates Consulting, LLC | Scoop.it
Business management magazine, blogs, case studies, articles, books, and webinars from Harvard Business Review, addressing today's topics and challenges in business management.
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The 3 Best Books For Entrepreneurs to Return To, Again and Again

The 3 Best Books For Entrepreneurs to Return To, Again and Again | McInnis & Associates Consulting, LLC | Scoop.it
Of the hundreds of books about success and entrepreneurship, there are three classics that hold up over time and continue to inform and amaze.
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A Taxonomy of Innovation

A Taxonomy of Innovation | McInnis & Associates Consulting, LLC | Scoop.it
Business management magazine, blogs, case studies, articles, books, and webinars from Harvard Business Review, addressing today's topics and challenges in business management.
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The Secret to Delighting Customers

The Secret to Delighting Customers | McInnis & Associates Consulting, LLC | Scoop.it
How Disney made great service habitual by putting their employees first.
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Never Say Goodbye to a Great Employee

Never Say Goodbye to a Great Employee | McInnis & Associates Consulting, LLC | Scoop.it
To retain valuable "boomerang" employees, manage their exit.
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The Twelve Sales Metrics that Matter Most

The Twelve Sales Metrics that Matter Most | McInnis & Associates Consulting, LLC | Scoop.it
A recent survey shows what numbers sales managers should watch.
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Rescooped by Miguel McInnis from Healthcare, Social Media, Digital Health & Innovations
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Infographic: PEW Report - The Diagnosis Difference

Infographic: PEW Report - The Diagnosis Difference | McInnis & Associates Consulting, LLC | Scoop.it

45% of U.S. adults live with chronic disease 


Living with a chronic disease has an independent effect on people’s technology adoption and health behavior 

 

72% of U.S. adults living with chronic conditions use the internet 

 

7 in 10 track weight, diet, exercise routine, or symptoms 

 

67% of U.S. adults living with high blood pressure are internet users


69% of U.S. adults living with asthma or other lung conditions are internet users


56% of U.S. adults living with diabetes are internet users


59% of U.S. adults living with heart conditions are internet users


70% of U.S. adults living with a chronic condition other than those specified in the report are internet users.

 

Surprisingly, only 11% of U.S. adults living with one or more chronic conditions have consulted online rankings or reviews of hospitals or other medical facilities.


People living with chronic conditions are more likely than others to fact check with a medical professional what they find online

 

The findings of this report presents a great opportunity of engaging patients with chronic conditions using internet and social media


Via Parag Vora
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eMedToday's curator insight, November 26, 2013 7:23 PM

WOW

Social Shweta's curator insight, December 3, 2013 1:37 PM

It's time for #HCPs to explore the huge potential Engaging with patients especially the ones with chronic diseases online. #PatientEngage | The awaited PEW Report is here..

Marisa Maiocchi's curator insight, December 7, 2013 11:05 AM

Si bien las estadísticas pertenecen a los Estados Unidos, marcan una tendencia, que ya fue advertida por otros estudios (You share, We care). En América Latina tenemos que avanzar en e-Health porque los pacientes están ya en esa conversación!

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In Stance on Renewal of Old Health Policies, States Run the Gamut

In Stance on Renewal of Old Health Policies, States Run the Gamut | McInnis & Associates Consulting, LLC | Scoop.it
President Obama is receiving surprising support among some states on allowing the renewal of canceled insurance plans: Of the 13 states that have said they will allow it, all but four are led by Republicans.
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How Starbucks Trains Customers to Behave

How Starbucks Trains Customers to Behave | McInnis & Associates Consulting, LLC | Scoop.it
Anne Morriss, managing director of the Concire Leadership Institute, explains how the coffee giant increased efficiency and satisfaction by treating customers like employees.
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Some State Insurance Exchanges Continue to Battle Technical Problems

Some State Insurance Exchanges Continue to Battle Technical Problems | McInnis & Associates Consulting, LLC | Scoop.it
Six weeks into the rollout of President Obama’s new health care law, some of the online insurance exchanges run by states are continuing to have serious technological problems.
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You’re the Boss Blog: Finding the Right Early Customers for a Start-Up

You’re the Boss Blog: Finding the Right Early Customers for a Start-Up | McInnis & Associates Consulting, LLC | Scoop.it
If people don’t love the product, and it’s not growing organically, no amount of marketing will save it.
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Rescooped by Miguel McInnis from Strategy and Competitive Intelligence by Bonnie Hohhof
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The strength of ‘weak signals’ | McKinsey & Company

The strength of ‘weak signals’ | McKinsey & Company | McInnis & Associates Consulting, LLC | Scoop.it
Snippets of information, often hidden in social-media streams, offer companies a valuable new tool for staying ahead. A McKinsey Quarterly article

As information thunders through the digital economy, it’s easy to miss valuable “weak signals” often hidden amid the noise. Arising primarily from social media, they represent snippets—not streams—of information and can help companies to figure out what customers want and to spot looming industry and market disruptions before competitors do. Sometimes, companies notice them during data-analytics number-crunching exercises. Or employees who apply methods more akin to art than to science might spot them and then do some further number crunching to test anomalies they’re seeing or hypotheses the signals suggest. In any case, companies are just beginning to recognize and capture their value. Here are a few principles that companies can follow to grasp and harness the power of weak signals..


Via Bonnie Hohhof
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Ellen Naylor's curator insight, March 19, 2014 9:46 AM

This is tactical intelligence, that is noticing subtle things happening in the marketplace. I am glad that McKinsey has lit this spark using social media to help notice. Nice to see Estelle Metayer is a contributor.

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Should Big Companies Give Up on Innovation?

Should Big Companies Give Up on Innovation? | McInnis & Associates Consulting, LLC | Scoop.it
“Why bother?” It’s a common question thrown at me by entrepreneurs, venture capitalists, or the more cynically minded corporate leaders.
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Health Law’s Small Co-ops Have Mixed Success So Far

Health Law’s Small Co-ops Have Mixed Success So Far | McInnis & Associates Consulting, LLC | Scoop.it
How the co-ops fare will help determine whether the new health care law can inject more competition into the nation’s entrenched insurance market.
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Oversight sought for walk-in centers - Albany Times Union

Oversight sought for walk-in centers - Albany Times Union | McInnis & Associates Consulting, LLC | Scoop.it
Oversight sought for walk-in centers Albany Times Union What's the difference, for instance, between "urgent" and "emergent" care?
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Big Data's Biggest Challenge? Convincing People NOT to Trust Their Judgment

Big Data's Biggest Challenge? Convincing People NOT to Trust Their Judgment | McInnis & Associates Consulting, LLC | Scoop.it
As the amount of data goes up, the importance of human judgment should go down.
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Emmanuel-Brinklow Seventh Day Adventist Affordable Health Insurance TownHall Meeting

Emmanuel-Brinklow Seventh Day Adventist Affordable Health Insurance TownHall Meeting | McInnis & Associates Consulting, LLC | Scoop.it
Miguel McInnis's insight:

I want to thank the leadership at Emmanuel-Brinklow SDA for supporting last nights townhall mtg. It was well attended and very informative. I want to acknowledge the McInnis & Assoc team for volunteering their time to facilitate the planning and delivery of last nights event. Lastly, I want to thank the Montogomery Cty Health and Human Svces for partnering with us on this event.

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To Strengthen Your Attention Span, Stop Overtaxing It

To Strengthen Your Attention Span, Stop Overtaxing It | McInnis & Associates Consulting, LLC | Scoop.it
Attention is a mental muscle. You can strengthen it, but not if it's fatigued.
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Managing People on a Sinking Ship

Managing People on a Sinking Ship | McInnis & Associates Consulting, LLC | Scoop.it
Help your team stay focused and engaged no matter how bad things get.
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Start-Up Leaders Recall Choice to Cash In or Stay Independent

Start-Up Leaders Recall Choice to Cash In or Stay Independent | McInnis & Associates Consulting, LLC | Scoop.it
Nine start-up founders recounted the moment they had to decide whether to sell or stay independent — when the money was on the table and the future was unpredictable.
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Mizzou ambulatory clinics achieve Stage 7 EMR adoption | EHRintelligence.com

Mizzou ambulatory clinics achieve Stage 7 EMR adoption | EHRintelligence.com | McInnis & Associates Consulting, LLC | Scoop.it
HIMSS Analytics presented its Stage 7 Ambulatory Award to 44 of MU Health Care's ambulatory clinics, having achieved the highest level of EMRAM.
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