1. What is meant by the term data strategy? In your definition, provide an example of an offensive data strategy and an example of a defensive data strategy. Next, discuss the concepts of offensive/defensive strategies in the context of the “Why Hospitals Need better data science” article. Specifically, what are the key benefits to Hospitals going “offensive”, and what defensive needs are holding them back? Be sure that you throughout your answer you use vocabulary and ideas from the What’s Your Data Strategy article. (7 points)
2. What is meant by an “analytics gap” in corporations today? After reading the Mind the Analytics Gap article, do you feel that tech companies efforts around moving into the Health sector as outlined in Tech Giants Battle to Store Health Data in the WSJ make sense? Do the benefits of these strategies outweigh the risks in your (justified by the article) opinion? (7 points).
3. Consider the types of big data mentioned in “Why Health Care May Finally be Ready for Big Data”. Using your knowledge of the healthcare industry, or outside research if necessary, discuss how some of the potential benefits in this article might be constrained by the “Analytics Gap”. In your answer, be sure to identify some descriptive analytics that might be obtainable for most organizations, as well as some predictive analytics that, while useful, could be a stretch for many healthcare organizations.
4. Do some research on your own to identify a successful healthcare project implementation involving patient data completed sometime over the last three years. Discuss the nature of the project, its goals and objectives. In your discussion, you should be trying to use the terminology and concepts you’ve gained from the readings this week. In other words, describe the project in terms of its data strategy, analytics potential etc. You may also want to discuss how this project fits within the wider history of Healthcare technology and EHR.
2. Tech Firms Get Identifiable Hospital Data
Hospitals have granted Microsoft Corp., MSFT 3.35% International Business Machines IBM 1.53% Corp. and Amazon.com Inc. AMZN 1.45% the ability to access identifiable patient information under deals to crunch millions of health records, the latest examples of hospitals’ growing influence in the data economy.
The breadth of access wasn’t always spelled out by hospitals and tech giants when the deals were struck.
The scope of data sharing in these and other recently reported agreements reveals a powerful new role that hospitals play—as brokers to technology companies racing into the $3 trillion health-care sector. Rapid digitization of health records and privacy laws enabling companies to swap patient data have positioned hospitals as a primary arbiter of how such sensitive data is shared.
“Hospitals are massive containers of patient data,” said Lisa Bari, a consultant and former lead for health information technology for the Centers for Medicare and Medicaid Services Innovation Center.
Hospitals can share patient data as long as they follow federal privacy laws, which contain limited consumer protections, she said. “The data belongs to whoever has it.”
Why Big Tech Wants Access to Your Medical RecordsTech giants like Amazon and Apple are expanding their businesses to include electronic health records — which contain data on diagnoses, prescriptions and other medical information. Here’s what to know.Microsoft and Providence, a hospital system with data for about 20 million patient visits a year, are developing cancer algorithms by using doctor’s notes in patient medical records. The notes haven’t been stripped of personally identifiable information, according to Providence, which is based in Renton, Wash.
An agreement between IBM and Brigham and Women’s Hospital to jointly develop artificial intelligence allows the Boston-based hospital to share personally identifiable data for specific requests, people involved in the agreement said. So far the hospital hasn’t shared data on that basis and has no current plans to do so, according to hospital and IBM officials.
Microsoft executive Peter Lee in July described how his company would use Providence patient data without identifying information for algorithm development. In a December statement, he said patients’ personal health data remains in Providence’s control and declined to comment further. B.J. Moore, Providence’s chief information officer, said executives involved in the agreement at first planned to use data without information identifying patients; later they found they couldn’t remove it all from doctors’ notes. “It was not intended to mislead,” he said.7“Responsible data stewardship is core to our mission,” an IBM spokeswoman said.
The Fred Hutchinson Cancer Research Center, in Seattle, granted certain Amazon Web Services employees access to health information that identifies individual patients, a Fred Hutchinson spokesman said. The research institution, which has ties to hospitals, trained and tested Amazon Web Services software designed to read medical notes.
An AWS spokeswoman said it doesn’t use personally identifiable data protected under federal privacy laws to develop or improve its service. Hospitals involved in the deals say data use is reviewed by research-ethics review boards or data-use committees, which can include compliance, law, tech, medicine and other experts.
Mayo’s data team will vet future data requests for projects with Google, probing how much data to share, said Mayo’s Lois Krahn, a data-team member. “We are a tremendously cautious and conservative organization,” she said.
Hospitals also stand to gain financially from some deals. Tech companies’ agreements with Providence, Mayo, and Brigham and Women’s include intellectual property rights for hospital contributions to new products.
Some hospitals are saying no to tech agreements.
“We’re not giving anyone data,” said Jim Beinlich, chief data information officer for Penn Medicine, the University of Pennsylvania health system. Penn Medicine halted a possible research pilot with Microsoft in response to public concern over Ascension’s Google deal.
Hospital executives are drafting policies, such as how to tell patients about data sharing.
“We don’t have all the rules of the road written down,” he said.
Why hospitals need better data service . https://hbr.org/2017/10/why-hospitals-need-better-…
Why health care may finally be ready for big data-https://hbr.org/2014/12/why-health-care-may-finall…
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