Customer Effort Score 2.0 Starter Kit CEB
Customer Effort Score 2.0 Starter Kit Implement the best metric for measuring customer loyalty with key implementation tips and benchmarking data to compare your organization’s performance.
#CX  #customersatisfacttion  #customerengagement 
yesterday
The Wearable Guru (@WearableGuru) | Twitter
The Wearable Guru @WearableGuru Follows you The #WearableTech Industry's in FreeFall Status. Stay Connected w/ #Wearables & the WearableGuru to Stay Grounded. Find us on FaceBook:ªªhttp://fb.me/WearableGuru ºº London/Amsterdam TheWearableGuru.com Joined September 2014
#mobile  #wearable  #hc 
yesterday
Effective Change Management CEB
5 change management fundamentals

Boost your company’s performance during change initiatives with 5 change management fundamentals
Getting enterprise change initiatives right can be extremely challenging: 60% of big, structural changes end in failure and consequent losses in revenue, productivity, and competitiveness.

Employees feel the stress of change initiatives directly – and change-stressed employees perform 5% worse than the average employee.

This problem has never been so challenging:

70% of firms say these changes are more complex than they’ve ever been
60% of managers say they don’t have the right experience to guide them
Download this Executive Guidance study to learn the 5 change management fundamentals you can give your employees to help them adapt and thrive.
#changemanagement  +Gartner 
2 days ago
MIT The Analytics Edge edX
The Analytics Edge Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.

In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life. We will examine real world examples of how analytics have been used to significantly improve a business or industry. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix. Through these examples and many more, we will teach you the following analytics methods: linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. We will be using the statistical software R to build models and work with data. The contents of this course are essentially the same as those of the corresponding MIT class (The Analytics Edge). It is a challenging class, but it will enable you to apply analytics to real-world applications.

The class will consist of lecture videos, which are broken into small pieces, usually between 4 and 8 minutes each. After each lecture piece, we will ask you a “quick question” to assess your understanding of the material. There will also be a recitation, in which one of the teaching assistants will go over the methods introduced with a new example and data set. Each week will have a homework assignment that involves working in R or LibreOffice with various data sets. (R is a free statistical and computing software environment we’ll use in the course. See the Software FAQ below for more info). In the middle of the class, we will run an analytics competition, and at the end of the class there will be a final exam, which will be similar to the homework assignments.
#datascience  #course  +MIT 
2 days ago
Top 10 LinkedIn groups every Data Scientist should join 20140619
Top 10 LinkedIn groups every Data Scientist should join 19th Jun `14, 04:05 PM in Data Science Are you a busy data scientist, building mathematical models and machine learning algorithms to run experiments on massive…
#datascience  #tl  #source  #news 
2 days ago
The two sides of Getting a Job as a Data Scientist Towards Data Science 20180226
The two sides of Getting a Job as a Data Scientist Are you a Data Scientist looking for a Job? Are you a Recruiter looking for a Data Scientist? If you answered yes or NO to this questions you need to read this.
#datascience  #jobs  #career  #advice 
2 days ago
365 Data Science | Become a Data Scientist: from Beginner to Pro
Who are we
365 Data Science is a project by 365 Careers. It is the love child of our drive to learn and the desire to pass along the hard-earned knowledge.
We at 365 Careers are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality content which anyone can access online.
We founded 365 Careers because we wanted to do what we are good at and what we love. Providing the resources that can shape a future is a responsibility we do not take lightly; it is a driving force behind what we do and we wear our commitment to quality as a badge of honor.
#datascience  #analytics  #careers  #training  #education  #tutorials 
2 days ago
Google job listings for Brain AI and doctors Business Insider 20180615
Google is ramping up its plan to put its AI in the hands of doctors Greg Sandoval 18h 1,630

Google is expanding program that seeks to learn whether AI technology can reduce the time doctors spend on note taking.
The company recently posted four job opening for Medical Digital Assist, which is overseen by Google Brain.
Google is devoting more resources to a research project that seeks to determine whether artificial intelligence can free doctors from the laborious and time-sucking chore of taking notes during medical examinations.

According to a report Thursday in CNBC, Google is expanding a program called Medical Digital Assist, which is overseen by Google Brain.
#ai  #hc  #physicians  #NLP  #vendor  +Google 
2 days ago
Twitter
1/ We just interviewed the healthcare unicorn! . . . of is one of the few (and maybe the only) ent…
from twitter_favs
2 days ago
Lessons from Building Observability Tools at Netflix
“Lessons from Building Observability Tools at Netflix”
from twitter
3 days ago
Twitter
“Lessons from Building Observability Tools at Netflix”
from twitter
3 days ago
Innovating Faster on Personalization Algorithms at Netflix Using Interleaving 20171129
Innovating Faster on Personalization Algorithms at Netflix Using Interleaving Start Highlighting By Juliette Aurisset, Michael Ramm, Joshua Parks The Netflix experience is powered by a family of ranking algorithms, each optimized for a different purpose. For instance, the Top Picks row on the homepage makes recommendations based on a personalized ranking of videos, and the Trending Now row also incorporates recent popularity trends. These algorithms, along with many others, are used together to construct personalized homepages for over 100 million members.
#personalization  #algorithms  #optimization  #ABtesting  #testing  +Nefflix 
3 days ago
The 5 Ways AI Will Change U.S. Healthcare Businesss Insider 201806
The 5 Ways AI Will Change U.S. Healthcare Don't miss your opportunity to download this report for FREE! Artificial intelligence (AI), often used as an umbrella term to describe types of technology that can simulate human intelligence, is the most hyped segment of healthcare—but it’s also the most underexplored. Although AI is generating significant buzz in the healthcare sector, it has yet to infiltrate the clinical setting. But that should change in the next few years, as spending on AI in healthcare is projected to grow at an annualized rate of 48% between 2017 and 2023 to surpass $22 billion, according to Research and Markets. In a new free report, Business Insider Intelligence looks at the five biggest ways AI will impact U.S. healthcare in the next five years. This exclusive report can be yours for FREE today. As an added bonus, you will gain immediate access to our exclusive Digital Health newsletter.
#ai  #hc  #impact  #2018  +BusinessInsider 
3 days ago
Advancing the use of real-world data to help speed treatments to patients OptumLabs 20180212
Advancing the use of real-world data to help speed treatments to patients Created Feb 12 2018, 1:08 PM OptumLabs Real World Evidence RCT Randomized Controlled Trial By William Crown, PhD, OptumLabs For more than 20 years, I used medical claims data to compare the effects of medications on patient outcomes and cost. In the back of my mind (and sometimes the front) I was always worried about what I might be missing since claims data contained limited clinical information. For example, I knew that it would be helpful to know the body mass index, cholesterol levels and blood pressure of patients when studying heart failure drugs. And, when studying breast cancer treatment, it would be critical to control for cancer stage. But none of this information was available in claims data alone. This changed in 2009 with the HiTECH Act, which mandated meaningful use of electronic medical record (EMR) data for health care providers. The HiTECH Act transformed the data landscape almost overnight by making it possible to broaden our view into patient care and outcomes by linking patient-level EMR and claims data. My previous concerns about possibly missing something important turned to curiosity: Could using real-world data such as linked patient claims and EMR records simulate a randomized controlled trial (RCT)? Could important evidence be produced in months, rather than years, to dramatically cut development costs and accelerate patient access to effective therapies? OptumLabs is working to answer these questions.
#hc  #data  #applications  +OptumLabs  +Optum 
4 days ago
R Ray Wang (王瑞光) #My31 (@rwang0) | Twitter
R Ray Wang (王瑞光) #My31Verified account @rwang0 @ConstellationR CEO, CoHost @DisrupTVShow, @PCI_Initiative, BestSelling @HarvardBiz Author, Keynoter, Futurist, Provocateur, EDM DJ #Foodie #SVLife Silicon Valley | SF | 39.5K Ft raywang.org Joined April 2008
#tech  #digital  #innovation  #tl  >rr 
4 days ago
JOHN NOSTA (@JohnNosta) | Twitter
JOHN NOSTAVerified account @JohnNosta I'm a TECH iconoclast relentlessly seeking the unexpected in health, science & medicine. ªªhttp://www.NostaLab.com ºº @Google Health Board @Forbes @PsychToday 07945 JohnNosta.com Joined January 2009
#digital  #tech  #hc  #tl  >rr 
4 days ago
The New Class of Digital Leaders
RT : An amazing stat! Only 17% the pharma / healthcare companies have a chief digital officer! …
from twitter
4 days ago
Twitter
RT : An amazing stat! Only 17% the pharma / healthcare companies have a chief digital officer! …
from twitter
4 days ago
2018 Artificial Intelligence Study Constellation Research 20180604
AI Budgets Are Modest but Rising Quickly among Early Adopters   This report examines the state of artificial intelligence (AI) investment, development and deployment as well as sources of resistance, potential effects on management and privacy among the first movers, early adopters and fast followers that constitute Constellation's subscriber base.   This report leverages findings from the Constellation 2018 Artificial Intelligence Survey, in which Constellation asked C-level survey respondents about the drivers of business investment in AI, AI budgets, progress on AI implementations, business goals for AI, sources of resistance to AI adoption and the impact of AI on the workforce.   Fifty C-level respondents completed the survey in January 2018. Responses were collected from Constellation's subscriber base on Constellation's website and ZDNet.com.
#ai  #enterprise  #deployment  #analyst  #report  #2018  +Constellation 
4 days ago
Accenture Digital Health Technology Vision 201806
Digital Health Tech Vision 2018 Intelligent enterprise unleashed. VIEW FULL REPORT
#hc  #ai  #digital  #report  +Accenture  +A+ 
4 days ago
5 Reasons Healthcare Data Is Unique and Difficult to Measure HealthCatalyst
5 Reasons Healthcare Data Is Unique and Difficult to Measure Dan LeSueur, Vice President of Client and Technical Operations Posted in Data: Quality, Management, Governance and Data Warehouse / EDW. ADD Click infographic to see the 5 ways healthcare data is different DOWNLOAD PDF Editor’s Note: Below are both parts one and two of our series on the uniqueness of healthcare data. Those of us who work with data tend to think in very structured, linear terms. We like B to follow A and C to follow B, not just some of the time, but all the time. Healthcare data isn’t that way. It’s both diverse and complex making linear analysis useless. There are several characteristics of healthcare data that make it unique. Here are five, in particular:
#hc  #data  #challenges  #accuracy  #compliance 
4 days ago
Amazon Project Hera - Patient data analysis to improve accuracy of medical records 20180605
Patient data analysis to improve accuracy of medical records In January, a press release on BioSpace seemed to foreshadow Amazon’s entry into the medical records field. At the time, they were looking for a professional who can "own and operate" the security and compliance aspects of a new initiative. The job posting also required the candidate to ensure that the new initiative meets HIPAA business associate agreement requirements, meaning Amazon intends to work with outside partners that manage personal health information. That initiative has been internally dubbed Hera, MSNBC reported. In development for at least three years, Hera involves taking unstructured data from electronic medical records to identify an incorrect code or the misdiagnosis of a patient. The technology captures patient data that a physician may miss. This can help remove inaccuracies for insurers, resulting in greater efficiencies and more accurate assessment of a population's risk. According to two people familiar with the effort, Grand Challenge is already starting to pitch Hera to commercial health insurance companies.
#emr  #patientdata  #accuracy  #analytics  +Amazon 
4 days ago
Unpacking Fourth Factor, Continuous Authentication Opus Research 20180403
Unpacking Fourth Factor, Continuous Authentication BY RAVIN SANJITH on APRIL 3, 2018 • ( 0 ) One of the casualties of Facebook’s data debacle is the social network’s plans for smart speakers to compete with Amazon’s Echo. Indeed, concerns about constant surveillance is bound to have a ripple effect that challenges every company and brand’s ability to offer simple, trusted, Voice-First services through a variety of devices. Earlier this year, in our #IAuth prediction for 2018, we coined the term “Fourth Factor” as a collective description for a combination of emerging authentication technologies, applied on a continuous basis to provide friction free methods and strategies that didn’t fit neatly into the first, second and third factor categories. Fourth Factor Authentication is made possible by continuous monitoring of devices, networks and user behaviors. While this bolsters the seamlessness and personalisation of overall digital UX, it is also seen as a form of surveillance, which invades privacy and breaches numerous data-protection regulations. How brands, banks, retailers and digital marketers in general promote a balance between privacy, convenience and security will be the subject of panels and “Deep Dive” discussions at the upcoming Conversational Commerce Conference (C3), London, May 8-9.
#data  #security  #authentication  +OpusResearch 
4 days ago
What a Visit to an AI-Enabled Hospital Might Look Like Ray Wang HBR 20161116
The combination of machine learning, deep learning, natural language processing, and cognitive computing will soon change the ways that we interact with our environments. AI-driven smart services will sense what we’re doing, know what our preferences are from our past behavior, and subtly guide us through our daily lives in ways that will feel truly seamless. Perhaps the best way to explore how such systems might work is by looking at an example: a visit to a hospital.
#hc  #ai  #applications  #provider  #casestudy  #exemplar  +RayWang 
4 days ago
How Continuous Authentication as a Fourth Factor Will Shape 2018 Opus Research 20171220
How Continuous Authentication as a Fourth Factor Will Shape 2018 BY RAVIN SANJITH on DECEMBER 20, 2017 • ( 0 ) As we close off the year, I have been asked for my single prediction for 2018. You can appreciate that this is quite difficult, as there is so much happening in Conversational Commerce, especially in the area of Intelligent Authentication. After much thought on the multitude of competing trends, I choose Continuous Authentication as my top-trend for 2018. 2017 has been a mega-year for Identification, Authentication and Consumer Data Privacy, with the lion’s share of attention going to high profile data breaches at Equifax, Yahoo and Uber among other large-scale enterprises and government agencies. This has fueled the need for urgent implementation of stricter regulations, such as the GDPR (Deadline: May 25, 2018) and PSD2 soon after by end 2019. Some innovative solutions have also resulted from implementation strategies, supported by very exciting technological developments that not only support compliance, but unlock new opportunities for existing and new players.
#authentication  #data  #security  #analytics 
4 days ago
Most Users Are Very Uncomfortable with Brands Selling Their Data eMarketer 20180611
Most Users Are Very Uncomfortable with Brands Selling Their Data People are becoming more skeptical of rampant data-sharing
Users continue to sour on data-trading.

In light of the controversy between Facebook and Cambridge Analytica, Sailthru polled 2,000 US internet users in May about their data-sharing beliefs. Most respondents were very uncomfortable with brands buying and selling their personal data, didn't trust brands to keep that data safe, and believed that the US government should regulate how companies can use it.
#consumers  #data  #privacy  #sharing  #concerns  #stats  #2018 
4 days ago
For $150, Most Users Will Sell Personal Information to Brands eMarketer 20180613
For $150, Most Users Will Sell Personal Information to Brands Everyone has a price when it comes to sharing data DOWNLOAD SHARE TOPICS MARKETING TECHNOLOGYUNITED STATES People are becoming uncomfortable with brands selling their data, but interestingly, it seems some are willing to shell out their personal information if the price is right. Syzygy surveyed 3,000 internet users across the UK, US and Germany in May and found that the average amount of money people were willing to take from their favorite brand in exchange for their personal data was $150. Meanwhile, one-third of US respondents said they’d be fine with Google monitoring and tracking their activity across all of their digital devices in exchange for $25.
#data  #consumer  #sharing  #value  #privacy 
4 days ago
What is a (#) Hashtag?
What is a (#) Hashtag?

Simply put, a hashtag is an easy way for people to categorize, find and join conversations on a particular topic.

The hashtag is used to highlight keywords or topics within a Tweet, and can be placed anywhere within a post.

Thanks to the member-driven online information site Twitter, the lowly "pound" or "number" symbol "#" has been elevated to a new role. The hash mark, or pound symbol, (#) is now known by social media users as a "hashtag" or "hash tag". Posts that have the same keywords prefixed with the # symbol are grouped together in user searches, bringing a level of order to the frenzied chaotic world of Twitter.

Twitter user Chris Messina (@chrismessina) first Tweeted with a hashtag symbol # in August 2007, as a way to define groups on the social media site. The use of the pound symbol to categorize messages and define conversations spread quickly throughout the Twitter community, and is now an integral part of this fast-paced live information network.

According to Twitter, in 2011 over 10 percent of all Tweets now contain one or more hashtags. With an average of 140 million Tweets and half a million new accounts created every day, it is easy to see why users need some way of sorting through all these messages.
#socialmedia  #sharing  #hashtags 
4 days ago
FHIR v3.0.1 Summary as of 20180613
2.15 Introducing HL7 FHIR FHIR Infrastructure Work Group Maturity Level: N/A Ballot Status: Informative FHIR® – Fast Healthcare Interoperability Resources (hl7.org/fhir) – is a next generation standards framework created by HL7. FHIR combines the best features of HL7's v2 , HL7 v3 and CDA product lines while leveraging the latest web standards and applying a tight focus on implementability. FHIR solutions are built from a set of modular components called "Resources". These resources can easily be assembled into working systems that solve real world clinical and administrative problems at a fraction of the price of existing alternatives. FHIR is suitable for use in a wide variety of contexts – mobile phone apps, cloud communications, EHR-based data sharing, server communication in large institutional healthcare providers, and much more. 2.15.1 Why FHIR is better FHIR offers many improvements over existing standards: A strong focus on implementation – fast and easy to implement (multiple developers have had simple interfaces working in a single day) Multiple implementation libraries, many examples available to kick-start development Specification is free for use with no restrictions Interoperability out-of-the-box– base resources can be used as is, but can also be adapted for local requirements Evolutionary development path from HL7 Version 2 and CDA – standards can co-exist and leverage each other Strong foundation in Web standards– XML, JSON, HTTP, OAuth, etc. Support for RESTful architectures, seamless exchange of information using messages or documents, and service based architectures Concise and easily understood specifications A human-readable serialization format for ease of use by developers Solid ontology-based analysis with a rigorous formal mapping for correctness
#hc  #FHIR  #source  #explainer  #data  #interoperability 
5 days ago
FHIR Fast Healthcare Interoperability Resources Wikipedia 20180613
Fast Healthcare Interoperability Resources Start Highlighting From Wikipedia, the free encyclopedia Jump to navigationJump to search Fast Healthcare Interoperability Resources Organization HL7 Base standards JSON, XML Domain Electronic health records License CC0 Abbreviation FHIR Website hl7.org/fhir/ Fast Healthcare Interoperability Resources (FHIR, pronounced "fire") is a draft standard describing data formats and elements (known as "resources") and an application programming interface (API) for exchanging electronic health records. The standard was created by the Health Level Seven International (HL7) health-care standards organization. FHIR builds on previous data format standards from HL7, like HL7 version 2.x and HL7 version 3.x. But it is easier to implement because it uses a modern web-based suite of API technology, including a HTTP-based RESTful protocol, HTML and Cascading Style Sheets for user interface integration, a choice of JSON or XML for data representation, and Atom for results.[1] One of its goals is to facilitate interoperation between legacy health care systems, to make it easy to provide health care information to health care providers and individuals on a wide variety of devices from computers to tablets to cell phones, and to allow third-party application developers to provide medical applications which can be easily integrated into existing systems. FHIR provides an alternative to document-centric approaches by directly exposing discrete data elements as services. For example, basic elements of healthcare like patients, admissions, diagnostic reports and medications can each be retrieved and manipulated via their own resource URLs. FHIR was supported at an American Medical Informatics Association meeting by companies like Cerner which value its open and extensible nature.[2]
#hc  #fhir 
5 days ago
Predictive analytics help treat people, not symptoms Optum 20180612
Predictive analytics help treat people, not symptoms June 12, 2018Optum How people have behaved in the past can tell us a lot about how they will act in the future. This statement holds true in medicine. As scores of data — from medical, behavioral, socioeconomic and even psychographic sources — can attest, medical histories can say a lot about how someone will react to a recommended course of treatment. But because these data are spread across all those aforementioned categories, insight into future behavior isn’t so clear. After all, there are vast stores of data to collect, standardize, validate and link before you can even begin the process of utilizing it all. It’s no surprise, then, that traditional treatments have generally focused on the most acute or costly symptoms first, regardless of a patient’s background or temperament. My colleagues at OptumRx® weren’t satisfied with a cookie-cutter approach to treatment plans, so they came up with something better. They use predictive analytics to power a strategy we call Next Best Action — a framework that uses these many different types of data for effective decision making at the individual patient level.
#hc  #data  #predictive  #engagement  +Optum 
5 days ago
What Retail Can Teach Health Care About Digital Strategy HBR 20180308
What Retail Can Teach Health Care About Digital Strategy Adam Licurse, MD MARCH 08, 2018

Retailers know they have to find the right blend of digital convenience and in-person service. Consider Walmart’s latest advertising campaign in which customers gleefully place orders online and through its app, selecting to receive smart-looking blue boxes on their doorsteps or seamlessly pick up their orders at the closest store.

Imagining the same ad for a healthcare provider in 2018, even an innovative provider, is a stretch.

INSIGHT CENTER
Health Care’s New Frontier
SPONSORED BY OPTUM
How technology is changing the design and delivery of care.
Like banks, airlines, and retailers, health care providers will need to offer an easy, digital front-end experience to their customers. This isn’t just about building fancy new websites, but undertaking true care redesign: becoming adept at delivering high-quality, cost-effective virtual care through telehealth and digital tools. To this end, they will need to move from pilot programs to large-scale efforts routinely offered across the care spectrum.
#hc  #providers  #digital  #strategy  #bestpractices  #advice 
5 days ago
Gathering Health Care Insights from Data About People’s Daily Lives 20180313
Gathering Health Care Insights from Data About People’s Daily Lives Jeff Margolis MARCH 13, 2018 SUMMARY SAVE SHARE COMMENT TEXT SIZE PRINT PDF 8.95 BUY COPIES RECOMMENDED Aetna and the Transformation of... LEADERSHIP & MANAGING PEOPLE CASE 8.95 ADD TO CART Dragonfly Corporation INNOVATION & ENTREPRENEURSHIP CASE 8.95 ADD TO CART Dragonfly Therapeutic Retreats: Creating an... INNOVATION & ENTREPRENEURSHIP CASE 8.95 ADD TO CART VINCENT TSUI FOR HBR While the healthcare industry becomes increasingly adept at applying clinical and claims data to improve care, it has largely ignored other data sources that provide the greatest opportunity to positively impact health and cost at scale. The dependence on this limited data set originates in the system’s orientation toward “sick care” — treating illness. To radically improve health care, we need to apply consumer demographic and lifestyle data in ways that help the health care industry shift its focus from providing sick care to partnering with people (rather than “patients”) to help them stay well.
#hc  #data  #analytics  #fitness  #prevention  +Welltok 
5 days ago
Making Better Use of Health Care Data HBR 20180312
Making Better Use of Health Care Data Benson S. Hsu, MDEmily Griese MARCH 12, 2018 SUMMARY SAVE SHARE COMMENT TEXT SIZE PRINT 8.95 BUY COPIES RECOMMENDED MakerBot: Challenges in Building a New... INNOVATION & ENTREPRENEURSHIP CASE 8.95 ADD TO CART SAP AG: Orchestrating the Ecosystem TECHNOLOGY & OPERATIONS CASE 14.00 ADD TO CART What's Your Digital Business Model?: Six... STRATEGY & EXECUTION BOOK 32.00 ADD TO CART SVEN KROBOT/EYEEM/GETTY IMAGES At Sanford Health, a $4.5 billion rural integrated health care system, we deliver care to over 2.5 million people in 300 communities across 250,000 square miles. In the process, we collect and store vast quantities of patient data — everything from admission, diagnostic, treatment and discharge data to online interactions between patients and providers, as well as data on providers themselves. All this data clearly represents a rich resource with the potential to improve care, but until recently was underutilized. The question was, how best to leverage it.
#hc  #data  #analytics  #challenges  #academic  #collaboration  #research 
5 days ago
Feeding a Data-Hungry Organization at Charles Schwab 20180605
Feeding a Data-Hungry Organization at Charles Schwab Tom Davenport , CONTRIBUTOR Opinions expressed by Forbes Contributors are their own. Thomas H. Davenport and Randy Bean Charles Schwab Charles Schwab's Austin, TX Digital Accelerator Hub Consumer financial services has long been one of the most data-intensive industries, and Charles Schwab has long been a leader in it. It is one of the largest broker-dealer firms in the United States, with $3.36 trillion under management. It has also long been a leader in the use of technology as a way to improve customer service, operational efficiency, and investing outcomes. But this is no time for Schwab to rest on its laurels, and it certainly isn’t doing that. Based in San Francisco, the firm is surrounded by digitally native firms at every turn. Its executives, employees, investment advisors, and clients are acutely conscious of and hungry for data, analytics, and insights—perhaps more so than in other financial firms based outside of the San Francisco Bay Area. As a result, Schwab has made substantial investments in its digital, data, and analytics capabilities over the last several years in order to satisfy these data-hungry stakeholders.
#analytics  #casestudy  #financialservices  +CharlesSchwab 
5 days ago
AI in the Enterprise Report Altimeter 201806
AI in the Enterprise Real-World Strategies for Artificial Intelligence New Research from Altimeter By Susan Etlinger, Industry Analyst, Altimeter For enterprise companies considering investing in AI and implementing AI applications, the current landscape can seem overwhelming. Companies like Amazon, Facebook, Google, Apple, and Microsoft dominate the news, but how applicable are their strategies to companies with vastly different business models? This report examines the real use cases, challenges, and opportunities of AI for organizations. It includes interviews with executives from large, well-known companies and start-up entrepreneurs who are envisioning the many ways that machine intelligence can fuel innovation and growth. Finally, the report offers recommendations for companies thinking about where to focus, how to build their partnership ecosystem, and how to measure value in the short and long term as AI becomes a critical driver of digital transformation. In this new report by Susan Etlinger, you will find:  A framework for understanding how you can apply AI within your organization Interviews and in-depth case studies from organizations using AI to fuel innovation and create tangible business value Five specific guiding recommendations for enterprises planning AI implementations
#ai  #applications  #innovation  #enterprise  #deployment  #advice  #analyst  #report  +Altimeter 
5 days ago
How Patient Health Data Access Drives Patient Engagement 2018
How Patient Health Data Access Drives Patient Engagement Without health data access, patients cannot fully review their personal health information and cannot be fully engaged in their care. Source: Thinkstock As the healthcare industry continues to focus on improving patient engagement, experts regularly discuss the importance of patient health data access, saying that it’s imperative to boosting patient involvement in care. But thinking about patient health data access can be complicated. Few patients actually have stacks of files in their houses detailing their every care encounter. Most patients leave their health data to their providers, despite the industry’s changing attitude that it’s important that patients have access to their data. Why do patients really need access to their medical records? And how do they gain access? Below, we answer those questions and break down the basics of patient health data access.
#hc  #patient  #data  #value  #access  #A+ 
5 days ago
The Internet of Things in the health care industry Deloitte Insights 20150827
No appointment necessary: How the IoT and patient-generated data can unlock health care value The Internet of Things in health care RJ Krawiec, Jessica Nadler, Elan Tye, Jennifer Jarboe August 27, 2015 Doctors have gathered data on patients’ ailments and histories since Hippocrates, and current, accurate information is critical to effective health care. By making measurements and analysis automatic, IoT applications promise to help improve and personalize care—and create new value for industry players. Introduction
#hc  #iot  #PGHD  +Deloitte 
5 days ago
Merit-based Incentive Payment System (MIPS) AAFP 2018
MACRA Basics Merit-based Incentive Payment System (MIPS) 2018 MIPS Playbook Get the step-by-step guide to MIPS under MACRA's QPP. Free for Members Download Now More on the MIPS Performance Categories Want to dig deeper into the performance categories associated with MIPS? Quality Performance Category Cost Performance Category ACI Performance Category IA Performance Category MIPS: One of Two Payment Tracks Under the Quality Payment Program (QPP) The Medicare Access and CHIP Reauthorization Act (MACRA) permanently repealed the flawed sustainable growth rate (SGR) and set up the two-track Quality Payment Program (QPP) that emphasizes value-based payment models. The Merit-based Incentive Payment System (MIPS) track replaces three existing quality programs and adds a new performance category.
#hc  #MIPS 
5 days ago
What are the opportunities and challenges of patient-generated health data (PGHD) use? HealthIT.gov 201801
What are the opportunities and challenges of patient-generated health data (PGHD) use? The proliferation of consumer health technologies, including smartphones, mobile applications (apps), and wearable devices, has increased the frequency, amount, and types of PGHD available. These advances can enable patients and their caregivers to independently and seamlessly capture and share their health data electronically with clinicians and researchers more frequently and from any location. Various stakeholder groups can benefit from new opportunities yet also face some challenges arising from increasing PGHD use. A few are described below; more in-depth discussion can be found in the final white paper [PDF - .2.7MB]
#hc  #patient  #data  #PGHD  #benefits  #applications  #privacy 
5 days ago
What are patient-generated health data? HealthIT.gov 201801
What are patient-generated health data? Patient-generated health data (PGHD) are health-related data created, recorded, or gathered by or from patients (or family members or other caregivers) to help address a health concern. PGHD include, but are not limited to: health history treatment history biometric data symptoms lifestyle choices PGHD are distinct from data generated in clinical settings and through encounters with providers in two important ways: Patients, not providers, are primarily responsible for capturing or recording these data. Patients decide how to share or distribute these data to health care providers and others. Examples include blood glucose monitoring or blood pressure readings using home health equipment, or exercise and diet tracking using a mobile app or wearable device. Content last reviewed on January 19, 2018
#hc  #PGHD  #patient  #data 
5 days ago
Patient-Generated Health Data HealthiT.gov
Patient-Generated Health Data The use and sharing of PGHD supplement existing clinical data, filling in gaps in information and providing a more comprehensive picture of ongoing patient health. The use and sharing of PGHD in care delivery and research can: Gather important information about how patients are doing between medical visits. Provide information for use in shared decision-making about preventive and chronic care management. Offer potential cost savings and improvements in quality, care coordination, and patient safety. ONC is addressing the opportunities and challenges that the use of PGHD may present now and in the coming years. What are patient-generated health data? Patient-generated health data (PGHD) are health-related data created, recorded, or gathered by or from patients (or family members or other caregivers) to help address a health concern. Read More What are the PGHD-related criteria in the health IT rules and programs? To encourage innovation related to PGHD capture and use, new criteria have been included in ONC’s 2015 Edition Certification Rule and CMS’s Quality Payment Program Rule.
#hc  #data  #patient  #PGHD  #terminology 
5 days ago
Apple responds to ad group’s criticism of Safari cookie blocking 20170915
Apple responds to ad group’s criticism of Safari cookie blocking Posted on Friday, September 15th, 2017 at 4:13 pm. PT Written by Jim Dalrymple Apple introduced a new technology to intelligently block browser cookies in Safari, which brought criticism from a number of advertising organizations. Apple believes in privacy with every product it makes, and the advertising groups want to track everything we do so they can sell ads. Apple responded to that criticism this afternoon by fully explaining what they are doing for the consumer and standing up for themselves. “Apple believes that people have a right to privacy – Safari was the first browser to block third party cookies by default and Intelligent Tracking Prevention is a more advanced method for protecting user privacy,” Apple said in a statement provided to The Loop.
#privacy  #ad  #tracking  #cookies  #online  #industry  #practices  +Apple 
5 days ago
GutCheck's Innovative Market Research Solutions
The GutCheck Platform
Our platform is flexible; it can ingest and synthesize data from a wide variety of sources including respondent data, data management platforms, CRM systems, and other behavioral and attitudinal data.
#marketresearch  #vendors  #platform  #qualitative  #concept  #testing  #valueproposition 
5 days ago
A Guide to Creating Product Concepts for Testing eBook Gutcheck
eGuide A product concept is a representation of a product or service that has yet to be fully developed. Creating concepts prior to testing them in market research is important for many reasons. While CPG companies, and other industries, can take a variety of approaches to developing their product’s concept for testing, following this eGuide’s approach creates more consistency, reduces bias, and increases the relevance of insights when testing them with market research. Download the full eGuide to see The benefits associated with a standardized concept development process such as this one What the concept development framework looks like An example product concept by stage in the product development timeline
#marketresearch  #concept  #testing  +Gutcheck 
5 days ago
A Guide to Concept Testing Methods ebook GutCheck
eGuide Concept testing is a critical component to producing a strong end product that is tailored to target consumers. Whether a product idea is just taking shape or becoming fully developed, running it through a concept test at least once is likely going to result in a stronger, more relevant product to take to market—and knowing exactly what concept testing method to employ, and when, is the best way to establish a more efficient process for successful product development. Download the full eGuide to learn Three specific methods for concept testing Which method or methods to use depending on what stage a concept is in Why learning when to use each method based on the situation of your business is a more thoughtful approach to concept testing
#valueproposition  #concept  #testing  #marketresearch  #mr  +GutCheck 
5 days ago
About cross-domain tracking - Analytics Help
About cross-domain tracking How standard tracking compares to cross-domain tracking Cross-domain tracking makes it possible for Analytics to see sessions on two related sites (such as an ecommerce site and a separate shopping cart site) as a single session. This is sometimes called site linking.
#online  #web  #tracking  #consumer  #data  #crossdomain  #cookies 
5 days ago
2018: When Customers Finally Take Charge Doc Searls 20171222
2018: When Customers Finally Take Charge DECEMBER 22, 2017 / DOC SEARLS / 1 COMMENT In Spring of 2012, Harvard Business Review Press published The Intention Economy: When Customers Take Charge. Not long after that, word came from  The Wall Street Journal that Robert James Thomson, then Managing Editor of the paper, wanted to use the opening  chapter of the book as a cover essay for the paper’s Review section.  Amazon at the time was already giving that chapter away as a teaser for book sales, so I ended up compressing the whole book to a single 2000-word piece.  Here’s how the cover looked:
#consumers  #privacy  #data  #control  #agency  +DocSearls 
5 days ago
Twitter
I spent my early career working to help destigmatize mental illness, break stereotypes, build understanding. Amazin…
from twitter_favs
5 days ago
Twitter
RT : Who gets to profit from patients' medical data? There are so many arguments against global, perpetual research cons…
from twitter_favs
6 days ago
Evidation Health (@evidation) | Twitter
Evidation Health @evidation New ways to measure health in everyday life. ªªhttp://www.evidation.com ºº San Mateo, CA evidation.com Joined December 2014
#hc  #startup  #vendor  #measurement  >rt  >rr 
6 days ago
IBM's Watson Health issues run deeper than layoffs, former employees say 20180611
IBM’s problems with Watson Health run deeper than recent layoffs, former employees say By CASEY ROSS @caseymross and IKE SWETLITZ @ikeswetlitz JUNE 11, 2018
#hc  #challenges  +IBMWatson  #critique  #casestudy 
6 days ago
Greg Rosen (@grosen) | Twitter
Greg Rosen @grosen Principal @benchmark San Francisco, CA benchmark.com Joined September 2007
#vc  #blockchain  +Benchmark 
6 days ago
HHS Mulls Private Sector Dialogue to Foster Healthcare Innovation 20180607
HHS Mulls Private Sector Dialogue to Foster Healthcare Innovation The workgroup would include private healthcare investment and IT start-up organizations that would advise HHS on healthcare innovation and investment.
#healthcare  #innovation  +HHS  #regulation  #industry  >rt  >share 
6 days ago
Why Patient Engagement Should Be Mobile-First Whitepaper 20180604
Why Patient Engagement Should Be Mobile-First Posted on June 04, 2018 Sponsored by: Luma Health Learn how to implement a mobile-first strategy to reach your patients.  Read how clinics are upgrading their PX by changing the way patients and providers communicate throughout the patient lifecycle.
#patientengagement  #mobile  +LumaHealth 
6 days ago
How tractor seller John Deere became a technology company 20180605
How tractor seller John Deere became a technology company 0 Posted byDan Swinhoe on June 05 2018 Agriculture is undergoing a revolution. IoT sensors are making it easier to grow more crop with less, while drones and robots are bringing more automation to the industry. While you wouldn’t traditionally label tractor maker John Deere as a technology company, the 181-year-old manufacturer is evolving into exactly that, Silicon Valley presence and all. Since 1837, John Deere has made and sold tractors and other agricultural machinery such as cotton pickers and combine harvesters. In 2018, the company is transforming itself and its products into sensor-loaded, data-fuelled, AI-powered agritech platforms making farming smarter and more efficient.
#analytics  #tech  #casestudy  +JohnDeere  #agriculture 
6 days ago
How tractor seller John Deere became a technology company 20180606
How tractor seller John Deere became a technology company 0 Posted byDan Swinhoe on June 05 2018 Agriculture is undergoing a revolution. IoT sensors are making it easier to grow more crop with less, while drones and robots are bringing more automation to the industry. While you wouldn’t traditionally label tractor maker John Deere as a technology company, the 181-year-old manufacturer is evolving into exactly that, Silicon Valley presence and all. Since 1837, John Deere has made and sold tractors and other agricultural machinery such as cotton pickers and combine harvesters. In 2018, the company is transforming itself and its products into sensor-loaded, data-fuelled, AI-powered agritech platforms making farming smarter and more efficient.
#analytics  #tech  #casestudy  +JohnDeere  #agriculture 
6 days ago
Square off: Machine learning libraries O'Reilly 20180116
Square off: Machine learning libraries Top five characteristics to consider when deciding which library to use. By Mayukh Bhaowal January 16, 2018 Main reading room at the Library of Congress (source: Library of Congress on Flickr) Check out the session, "The Journey of Machine Learning Platform Adoption in Enterprise,” at Strata London, May 21-24, 2018. Choosing a machine learning (ML) library to solve predictive use cases is easier said than done. There are many to choose from, and each have their own niche and benefits that are good for specific use cases. Even for someone with decent experience in ML and data science, it can be an ordeal to vet all the varied solutions. Where do you start? At Salesforce Einstein, we have to constantly research the market to stay on top of it. Here are some observations on the top five characteristics of ML libraries that developers should consider when deciding what library to use:
16#ml  #algorithms  #predictive  #assessment  #advice 
6 days ago
Twitter
Key challenges of using healthcare data = harmonization of differing formats/data models, accurate patient-level li…
from twitter_favs
7 days ago
Biblioscape - bibliography software for researchers to generate citations and a bibliography in APA, MLA, etc. - The best reference manager for Windows.
Biblioscape 10 makes citing references easy. The revolutionary Microsoft Word integration displays your references and notes inside Word. Cite references by drag-and-drop and see the results instantly.
#rms  #reference  #management 
8 days ago
What makes a successful Chief Data Officer and how to measure it? 20180518
What makes a successful Chief Data Officer? Setting targets and measuring the success of a chief data officer will depend on the nature and definition of their role within an organisation.
When Gartner’s research vice-president Mario Faria said that by the end of 2019, 50 per cent of chief data officers would be seen to fail, it was hardly the stuff of recruitment posters. Yet Mr Faria also said that by that time 90 per cent of large companies would have a chief data officer (CDO) – a remarkable rise for a job that didn’t exist at the turn of the century.

Success is hard to judge, especially in a role that has yet to be well defined by industry, while failure can be starkly obvious. If your company is on the front pages for a or , it’s a bad day to be CDO.
#job  #role  #status  #assessment 
8 days ago
SAP rebrands to signal customer experience technology agenda CMO Australia 20180608
SAP rebrands to signal customer experience technology agenda Enterprise software vendors drops hybris and introduces marketing, commerce, sales, service, customer data clouds to reflect integration of its core software capabilities NADIA CAMERON (CMO) 08 JUNE, 2018 14:04
#CX  #vendor  +SAP  >rt 
8 days ago
How Danske Bank mastered data analytics 201806
How Danske Bank mastered data analytics Global head of analytics urged brands to start advocating AI and develop proof of concepts to avoid overhype around the technology JENNIFER O'BRIEN (CMO) 05 JUNE, 2018 07:25 inShare Print Danske Bank's Nadeem Gulzar Denmark-based Danske Bank Group is using a ‘one-tribe’ approach to push its data analytics strategy in order to improve operations and enhance customer experiences. “When we set out on a project, we actually create a tribe across business, analytics teams, data engineers, platform engineers, even network engineers - so everyone is part of the tribe,” the group’s head of global analytics, Nadeem Gulzar, told attendees at the recent Teradata Sydney Summit. “And we also go for a fully co-located team. Even though we’re in Denmark, Lithuania, Poland, Bangalore, India and so on, still we aim to go for a fully located team.” The ‘tribe approach’ brings about instant answers and communication, helps fuel challenges of thought and opinion, and fosters expediency in terms of generating ideas and delivering projects, Gulzar said.
#analytics  #deployment  #casestudy  #banks 
8 days ago
How Danske Bank mastered data analytics | 7wData
How Danske Bank mastered data analytics « Previous ArticleNext Article » Global head of analytics urged brands to start advocating AI and develop proof of concepts to avoid overhype around the technology Denmark-based Danske Bank Group is using a ‘one-tribe’ approach to push its data analytics strategy in order to improve operations and enhance customer experiences. “When we set out on a project, we actually create a tribe across business, analytics teams, data engineers, platform engineers, even network engineers - so everyone is part of the tribe,” the group’s head of global analytics, Nadeem Gulzar, told attendees at the recent Teradata Sydney Summit. “And we also go for a fully co-located team. Even though we’re in Denmark, Lithuania, Poland, Bangalore, India and so on, still we aim to go for a fully located team.” The ‘tribe approach’ brings about instant answers and communication, helps fuel challenges of thought and opinion, and fosters expediency in terms of generating ideas and delivering projects, Gulzar said.
#analytics  #organization  #execution  #jobs 
9 days ago
Twitter
Congratulations to Sig Mosley of Mosley Ventures for winning the first ever Lifetime Achievement Award…
from twitter_favs
10 days ago
Twitter
RT : Today, I was asked for any documents that explain "how your team got so much done" in Obama White House. I sent the…
from twitter
10 days ago
Choosing the chief data officer Heidrick & Struggles 20170317
CHOOSING THE RIGHT CHIEF DATA OFFICER
3/17/2017
Ryan Bulkoski and Joshua M. Clarke
#CDO  #analytics  #job  #roles  +Heidrick 
11 days ago
CDO or CAO? Bill Vorhies 20171218
CDO or CAO?
Posted by William Vorhies on December 18, 2017 at 5:06pmView Blog
Summary:  If you have committed to data and analytics as strategically important to your business, should you have a Chief Data Officer (CDO) or a Chief Analytics Officer (CAO)?  What’s the difference and what’s the trend?

As predictive analytics has increasingly penetrated companies and become a proven strategic differentiator, the largest and most advanced adopters have correctly decided to give data and analytics a seat at the C-Suite table. Although the titles may vary this typically means creating a C-level leadership position of either Chief Data Officer (CDO) or Chief Analytics Officer (CAO).

A recent Gartner forecast is that 90% of large organizations will have a CDO by 2019 (they don’t separately forecast CAOs). Gartner’s forecast focuses on the struggle many large companies are dealing with in simply capturing data and ensuring its quality, while preventing damaging data breaches.

This orientation toward data stewardship raises some interesting questions.

Since it is the company that defines the need for the position, should they be focusing on data or analytics?
Is the focus on data primarily defensive?
Can the executive focused on data also promote the most recent advances in analytics?
What roles might best be left with the CIO or others?
There are now a sufficient number of these title holders that we can begin to look at their scope, impact, and which of these two models, data-focused or analytic-focused might be preferred.
#cdo  #cao  #job  #role  +BillVorhies 
11 days ago
« earlier      
#2016 #2017 #2018 #a+ #academic #advertising #advice #ai #amazon #analyst #analytics #app #application #applications #atl #b2b #bain #behavioraleconomics #bestpractices #bigdata #blockchain #book #brands #cao #case #cases #casestudy #cdp #challenges #cmo #cognitivecomputing #competition #conference #consumer #course #critique #cx #data #datascience #davidraab #deeplearning #deloitte #deployment #design #digital #disruption #disruptive #dl #ecommerce #engagement #enterprise #execution #expert #explainer #firm #framework #gartner #gatech #gdpr #gobackto #google #hbr #hc #healthcare #impact #incubator #india #industry #innovation #iot #jobs #leadership #m&a #marketing #martech #mckinsey #mit #ml #mobile #news #newsource #nlp #nwm #online #optum #order #organization #outlook #patient #patientengagement #payers #peh #personalization #platform #pophealth #populationhealth #priorauth #privacy #provider #providers #regulation #report #research #researchinstitute #retail #role #rpa #rr #rt #sme #software #source #startup #startups #stats #status #strategy #survey #tech #technology #thoughtleader #thoughtleaders #tl #tomdavenport #tools #trends #ux #vbc #vc #vendor #vendors #video #webinar #website ad ads advertising advice agile agree ai analytics anticipatory app apps atl beacon beacons big bigdata brands connected consumers content context customer cx data datascience design devices digital digitalsignals disruptive dooh eddystone engagement enterprise entrepreneurs fail growth health healthcare ibeacon in-store indoor innovation innovative iot lbs learning local location loyalty m-commerce marketing mcommerce media mhealth ml mobile mpayment mpayments mustread news nfc ooh payments peer personalization privacy proximity research retail retailers security sensors shoppers shopping smartphones social startup startups strategy tablets tech technology ui ux value vc

Copy this bookmark:



description:


tags: