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Data Analytics Improving Health Care

Data Analytics Improving Health Care | Data Analytics | Scoop.it

Data analytics may be the key to improving operating efficiency, contain costs, and ensure quality care. The adoption of business intelligence and data analytics has been commonly accepted by CIO’s in a variety of industries, but the healthcare industry is still far behind in the acceptance of data analytics. Hospitals generally lack the appropriate resources needed to help turn clinical data into insight. The use of advanced data analytics in US hospitals was only at a 10 per cent adoption rate in 2011.

 


Via nrip
Data Analytics's insight:

Healthcare is in focus for a massive rehaul. This is a good summary of the current issues that can be addressed from the insight of analytics. Solutions derived from analytics business decisions are effective in saving cost and providing patient centric care. Adoption of the technology though has been slow paced. Incentives in all forms are now changing the land scape. Read on to get a glimpse of Data Analytics and Health Care.

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Vishal Virmani's curator insight, April 15, 2013 6:13 AM

Data Analytics will certainly play very big role in the coming future, sepcially in Asia as the mamoth size of population of India, China, Russia and other countries demand better healthcare facilities.

 

This can only come if we have better data analytics methods available which will enable us to take quick and effective decisions....

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Rescooped by Data Analytics from Data Nerd's Corner
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Data Analysis for Pharma Companies | Trends and Outliers

Data Analysis for Pharma Companies | Trends and Outliers | Data Analytics | Scoop.it
No sector of the economy could benefit more from big data and predictive analytics than the pharmaceutical industry.

Via Carla Gentry CSPO
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Carla Gentry CSPO's curator insight, April 8, 2013 10:33 AM

To improve the odds of successfully creating new drugs, pharmaceutical companies are increasingly trying to “pick the winners” and “kill the losers” earlier in the phased development process to avoid the high costs associated with failure later in development.

Rescooped by Data Analytics from AIHCP Magazine, Articles & Discussions
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7 Healthcare IT Roles That Are Transforming Tech Careers

Healthcare IT is becoming one of the fastest growing areas in the job market as health service providers rush to get compliant and adopt new technologies.

Via American Institute Health Care Professionals
Data Analytics's insight:

Healthcare is now opening up for individuals with an IT background. This article by CIO magazine covers the main players in the #HIT space, their roles/responsibilities, and how much they’re getting paid to do so. Check it out!

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American Institute Health Care Professionals's curator insight, May 17, 2013 1:23 PM

The Health IT career field is quickly becoming the next big job market.   As the healthcare field grows so does the need for information technology systems.    Even doctors are updating their offices and records.   Health IT Jobs will soon be a demanding and high paying area.    Perhaps you should look into online Healthcare IT courses and get started on a new career? 


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Predictive Analytics: The Stakes have Never Been Higher: CIO Webcast

Data Analytics's insight:

Another article detailing the importance of analytics in order to make better decisions using predictive statistical models.

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Clinical Data Standards and Data Portability

Healthcare is being pushed into the Information Age – the need for this was all-to- well known due to: –

Breaking up of economic divides –

Rising Consumerism –

Increasing Costs –

Safety Concerns•

 

Health care still is not taking full advantage of the information & communications technologies that have revolutionized other industries


Via nrip
Data Analytics's insight:

Standardization of electronically documented information. Absolutely critical in the clinical application.

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Mark.Nactrib's curator insight, May 8, 2013 5:20 AM

Pathcare mobile healthcare apps and patient-relationship management system.

Kel Mohror's comment, September 20, 2013 6:59 PM
Health consumers have to demand their care providers ACT to take "full advantage of the information & communications technologies that have revolutionized other industries." Consumers must speak up and tell providers to get "up to speed" or lose their business. That attitude changed the auto industry; it can reform healthcare.
poojarajput's curator insight, October 9, 2013 7:03 AM

http://www.jagran.com/

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Data Analytics Improving Health Care

Data Analytics Improving Health Care | Data Analytics | Scoop.it

Data analytics may be the key to improving operating efficiency, contain costs, and ensure quality care. The adoption of business intelligence and data analytics has been commonly accepted by CIO’s in a variety of industries, but the healthcare industry is still far behind in the acceptance of data analytics. Hospitals generally lack the appropriate resources needed to help turn clinical data into insight. The use of advanced data analytics in US hospitals was only at a 10 per cent adoption rate in 2011.

 


Via nrip
Data Analytics's insight:

Healthcare is in focus for a massive rehaul. This is a good summary of the current issues that can be addressed from the insight of analytics. Solutions derived from analytics business decisions are effective in saving cost and providing patient centric care. Adoption of the technology though has been slow paced. Incentives in all forms are now changing the land scape. Read on to get a glimpse of Data Analytics and Health Care.

more...
Vishal Virmani's curator insight, April 15, 2013 6:13 AM

Data Analytics will certainly play very big role in the coming future, sepcially in Asia as the mamoth size of population of India, China, Russia and other countries demand better healthcare facilities.

 

This can only come if we have better data analytics methods available which will enable us to take quick and effective decisions....

Rescooped by Data Analytics from What's up Health?
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Oncology data analytics firm targets 96% of cancer patients not in clinical trials

Oncology data analytics firm targets 96% of cancer patients not in clinical trials | Data Analytics | Scoop.it
Data anaytics firm specializing in oncology sets out to give cancer doctors access to more meaningful data from a larger cancer patient population and make them more connected.

..

One of the biggest frustrations cancer doctors have is feeling like they’re the only ones treating cancer, according to Nathaniel Turner, co-founder of cancer data analytics startup Flatiron Health. He and co-founder Zachary Weinberg are about to start the second of a two year pilot program to create a virtual tumor board of sorts by giving physicians access to more meaningful data from a larger patient population.

The long-term goal is to give them a better sense of the best treatment options for their cancer patients depending on the type of cancer they have. ..

Turner points out that only roughly 4 percent of cancer patients are in clinical trials. Its solution is designed to retrieve data from the remaining 96 percent and improve clinical trial participation. Data analytics in the context of cancer would seem a strangely specific place for a couple of advertising technology professionals to enter, albeit successful advertising professionals who sold their business Invite Media to Google in 2010. Turner and Weinberg are intimately familiar with the challenges cancer patients face from friends and family and are strongly motivated to use technology to knock down silos and improve data transparency for oncology professionals. Turner points out that advertising technology is practically stratospheric next to healthcare IT and believe they can advance the quality of technology. ...


Via rob halkes, Valeria Duflot
Data Analytics's insight:

Great example of how data analytics affects the field of #healthcare & #healthIT

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rob halkes's curator insight, May 3, 2013 11:08 AM

Inspiring initiative to search and focus on specific diseases with big data. It is my guess when such technologies prove reliable and valid, we'll see more development towards early stage detection and possibly prevention.

Rescooped by Data Analytics from Analytics & Social media impact on Healthcare
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Big Data sheds light on pharma's 'Small Data' problems

Big Data sheds light on pharma's 'Small Data' problems | Data Analytics | 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
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Miguel McInnis's curator insight, April 8, 2013 7:52 AM

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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Twitter / CORHIO: New report from @Accenture ...

Twitter / CORHIO: New report from @Accenture ... | Data Analytics | Scoop.it
Data Analytics's insight:

EHR is the next big thing. We all know it. What are the next steps? #Accenture highlights the importance of #EHR and #Analytics. #WinMaxHealth

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Twitter / HIMSS: [BLOG] I’m a #Nurse ...

Data Analytics's insight:

Who is the messenger between the clinical department and the information technology department in a healthcare enviornment? #nurse informaticists

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5 Data-Driven Ideas To Combat Diabetes

5 Data-Driven Ideas To Combat Diabetes | Data Analytics | Scoop.it
No matter how much technology we throw at it, the diabetes epidemic just won’t budge. Today, 8.3% of the U.S. population has the disease--a problem that cost the country $245 billion in 2012 alone.

 

For the past few years, drugmaker Sanofi US has run the $100,000 Data Design Diabeteschallenge, a call for entrants to design data-driven diabetes solutions. This isn’t a challenge for flash in the pan ideas that disappear soon after winning. Past competitions have yielded successful initiatives like Ginger.io, a behavioral health analytics startup that recently raised $6.5 million.

 

The finalists for this year’s competition (theme: using open data to make the right diabetes decisions at the right time) are below.

GOCAP

The GoCap is perhaps the simplest concept of the bunch: it’s a high-tech replacement cap for pre-filled insulin pens that can read dose amounts and time, and then wirelessly communicate that information to cell phones and glucometers. The resulting data can be used by both patients and large organizations for analysis.

CONNECT & COACH TM

A product of software development firm PHRQL, Connect & Coach TM calls itself the first clinical and consumer application to let dietitians and diabetes educators perform Diabetes Self-Management Education and Medical Nutrition Therapy in local communities. The product is designed for supermarket and pharmacy use.

ALLAZOENGINE

Created by healthcare analytics company Allazo Health, the AllazoEngine attempts to solve the niggling problem of medication non-adherence by using existing data from its members to predict who will neglect to take their pills--and the best way to get them back on track.

NUDURO

Like many products breaking into the market today, Nuduro provides healthy meal recommendations that match customer lifestyle, taste, and nutritional requirements. Unlike the other products out there, however, Nuduro presumably focuses specifically on diabetes patients.

MEDISAPIEN DIABETIC CLINICAL DATA REPOSITORY

This product, created by ZyDoc, is an enterprise healthcare analytics platform that lets users deposit all sorts of unstructured data--dictation, legacy data, transcribed text, and more--and transforms it all into fully-coded structured data. The platform is obviously relevant outside of the diabetes world as well.


Via nrip
Data Analytics's insight:

Analytics Companies in the Clinical Space. Interesting concepts from innovative companies.

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Rescooped by Data Analytics from Pharma: Trends and Uses Of Mobile Apps and Digital Marketing
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Mobile “Apps” and Tablets Take Over Clinical Trials

Mobile “Apps” and Tablets Take Over Clinical Trials (Investment by the pharma industry in wireless devices has grown 78% in the past year http://t.co/zyvGsP3EdR #healthit #tech)...

Via eMedToday
Data Analytics's insight:

Biotechnology is rapidly evolving, and it's going mobile!

 

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eMedToday's curator insight, May 3, 2013 10:22 PM

The insight

 

The pharmaceutical industry has been embracing these markets for several reasons. One of the biggest reasons is patient compliance. Patients want the "WOW Factor" - the digital and personalized experience.

Devices such as tablets and smartphones can cut clinical costs as well. Setting up desktops or laptops, or even printing paper, can be more expensive than simply downloading information on a device. Using these devices also allows patients to just send information via click or an IM/SMS. With the installation of "apps"; medical information can be downloaded instantly by doctors of Investigators.