Value for customers is created differently on platforms than by traditional product/service business models. Today we’ll present and discuss the metaphor of how traditional businesses can be thought of as “pipelines” and how these pipes differ from digital platforms. This post is the first in a new series: “The New Rules of Healthcare Platforms.” We’ll be writing about platform thinking, new mental models, and the new economics of platform business models and strategy. We’ll have at least seven posts to explain these new rules. You’ll have some unlearning to do. We’ll illustrate how platform business models are fundamentally different than traditional product/service business models. To understand platforms, we need to change more than just our thinking—we need to learn new rules about how the digital world works and how platforms fit in.
data analytics
See the following -
Policy And IT Challenges To Achieving Big Data Outcomes, Part 2
In part one of this series we provided a loose definition of Big Data, described some of the ways that Big Data tools can be used in health, and identified the high degree of alignment of Big Data capabilities with quality and efficiency analytics as well as observational health research... Read More »
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Population Health Management Becoming a Priority for Providers, but Many Struggle With Stop-Gap Solutions and Lack of Infrastructure, Says Latest Black Book Survey
Black Book’s most recent report on the state of population health management (PHM) reveals that it is among the fastest-growing areas in the healthcare IT space and several effective end-to-end solutions emerging. Record PHM spending underscores its increasing importance with a reported $8B invested in digital health in sum in 2016, with the majority going to population health and patient experience tools. But even as PHM solutions are quickly becoming a priority for healthcare organizations, in Q1 2017, 81% of providers are tackling population health projects without a strategic technology purchase that meets all their needs...
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Predictive Data Analytics is Saving Lives and Taxpayer Dollars in New York City
City governments, faced with decreased resources after the Great Recession and rising citizen demand for services with increased urbanization, must be able to make better decisions that are informed by data. To put it another way, in 2012, mayors need to start playing Moneyball in government with evidence-based analysis. Read More »
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Q&A: Unstructured Clinical Notes Just As Valuable For Analytics
While much has been made of the need to standardize clinical data with EHRs that use templates, click boxes, and dropdowns to funnel information into pre-determined data elements, the need for such strict organization may not be top priority for long. [...] Read More »
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Readmissions 'Drop Like A Rock' With Predictive Modeling
Predictive modeling offers the key to understanding which healthcare services most affect utilization, readmissions, and payment, and how to tackle the outliers. These analytics are within the grasp of any healthcare system. Read More »
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Recently Developed Nanomaterial May Be Suitable For Use In Desalination
Research results in computational modeling indicate that a newly developed nanomaterial may be suitable for applications in water desalination and other purification. The research was conducted by Vincent Meunier, the Gail and Jeffrey L. Kodosky ’70 Constellation Professor of Physics, Information Technology, and Entrepreneurship at Rensselaer Polytechnic Institute, in cooperation with Oak Ridge National Laboratory.
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Scenarios for Health Care Reform (Part 1 of 2)
All reformers in health care know what the field needs to do; I laid out four years ago the consensus about patient-supplied data, widespread analytics, mHealth, and transparency. Our frustration comes in when trying to crack the current hide-bound system open and create change. Recent interventions by US Republicans to repeal the Affordable Care Act, whatever their effects on costs and insurance coverage, offer no promise to affect workflows or treatment. So this article suggests three potential scenarios where reform could succeed, along with a vision of what will happen if none of them take hold...
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Scenarios for Health Care Reform (Part 2 of 2)
Some health care providers balk at the requirement to share data, but their legal and marketing teams explain that they have been doing it for years already with companies whose motives are less commendable. Increasingly, the providers are won over. The analytics service appeals particularly to small, rural, and safety-net providers. Hammered by payment cuts and growing needs among their populations, they are on the edge of going out of business and grasp the service as their last chance to stay in the black...
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Sequestration Can’t Halt Government’s ‘Historic’ Health IT Spending
Federal health IT spending grew 27 percent annually from fiscal 2011-2015, with the market jumping from $2 billion four years ago to $6.5 billion in fiscal 2015, according to research from big data and analytics firm Govini. Civilian health agencies fueled health IT spending the most. The Health and Human Services Department increased its annual health IT spend by a compound annual growth rate of 34 percent, with about half of its total obligations driven by the Centers for Medicare and Medicaid Services, which is preparing for a major modernization effort and call center upgrade...
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SMART On The Agenda At AMIA 2012
The AMIA 2012 Annual Symposium begins today in Chicago, where it is currently “Informatics Week” as declared by Mayor Rahm Emanuel. Read More »
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Struggling Hospitals Hold Off On Population Health, Analytics
Eighty-four percent of financially insecure hospitals are putting off investments in population health management and clinical analytics infrastructure, says a new survey by Black Book Rankings, focusing instead on improving revenue cycle management (RCM) and trimming waste to reduce their financial vulnerabilities...
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Survey: Healthcare Execs See Poor ROI from EHRs but Optimistic about Analytics
The billions in taxpayer dollars spent on electronic health records (EHRs) since 2009 have unfortunately generated a poor return for the nation’s healthcare system, according to a survey of more than 1,100 healthcare professionals conducted by Salt Lake City-based data analytics vendor Health Catalyst. Health Catalyst polled healthcare professionals attending the fourth annual Healthcare Analytics Summit September 12-14 in Salt Lake City...
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The Importance Of Making Big Data Accessible To Non-Data Scientists
Close behind “Big Data” as one of the most utilized enterprise technology terms today is “Data Scientist.” Many postulate that the explosion in Big Data will usher in an insatiable demand for data scientists able to slice and dice data to guide more informed decision making within the organization. Others go a step further... Read More »
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The New Rules of Healthcare Platforms (Part 1): Value Creation Shifts from Pipes to Platforms
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The Rise of 'Technology-Enabled' Clinical Research Companies
Eric Hodgins, senior vice president, research and development technology solutions at QuintilesIMS, told us there are a number of dynamics “significantly transforming the industry and driving an increase in technology-enabled clinical research.” Notably, there are two macro trends: the pace of innovation in scientific research and the explosion of technological advancements...
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