Test principles – Data Warehouse vs Data Lake vs Data Vault

Perficient

Understand Data Warehouse, Data Lake and Data Vault and their specific test principles. This blog tries to throw light on the terminologies data warehouse, data lake and data vault. Let us begin with data warehouse. What is Data Warehouse?

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Add Behavioral Data to Social Determinants For Better Patient Understanding

Health Populi

“Health agencies will have to become at least as sophisticated as other consumer/retail industries in analyzing a variety of data that helps uncover root causes of human behavior,” Gartner recommended in 2017.

Creating a Holistic View: Data Consolidation and Integration

Perficient

The consolidation of data and integration of systems is essential to providing a holistic 360-degree view of patients and members. One organization that understands the challenges associated with bringing data together across a large number of hospitals is Mayo Clinic. They also allow you to bring in data from any vendor source, whether it’s claims, revenue, patient-generated, or other EHRs.

FCCS: Locking Data

Perficient

It is always a good idea to lock data after completing period end-processing tasks. In HFM, we create the status grid that we use to lock or unlock data for the period and entity hierarchy intersections. If it indicates “Impacted” it is not possible to lock the data.

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Healthcare Data Ownership: Turning Patients into Proactive Consumers

Mobile Health Matters

The healthcare data explosion has prompted thorny debates over data ownership and access. Obviously, patients have a vested interest in having access to their own personal health history, but the data holds value for other stakeholders as well. The Benefits of Patient-Owned Data.

Data As Experience: Context Is King

Perficient

This is a continuation of my Data As Experience Series. As a matter of fact, the developer will even go out of his way to ensure that the data comes from a trusted source and that the formatting makes it as easy to read as possible. When you take a user need and context into account, you can create something that’s truly useful and which justifies the rather large expense that data and analytics requires. The last post was on the Customer Role.

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Pay people for their data – yes, or no?

Society for Participatory Medicine

SPM members Casey Quinlan (yes, yours truly) and Jan Oldenburg were part of a trinity of folks debating the idea of paying people for the data they contribute to the digital economy, in healthcare and in all other sectors. Data Commons Cooperative. Ciitizen (health data coop).

FTC data privacy probe

Morning eHealth

Hospitals and the future — Azar talk and more HHS matters

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How the Latest on Facebook and the “Deep State” Could Undermine Patient Data Sharing and AI

Health Populi

There’s a potential large obstacle that could prevent the full benefits of the current go-go, bullish forecasts for artificial intelligence (AI) to help make healthcare better: a decline in consumers’ willingness to share their personal data.

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I didn’t become a physician to do data entry

KevinMD

The trouble began when I needed to open the electronic health record (EHR) system for the tenth time that day. EHRs have significantly changed the way we practice medicine.

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Power BI + Azure Data Lake = Velocity & Scale to Your Analytics

Perficient

Context – Bring data together from various web, cloud and on-premise data sources and rapidly drive insights. The biggest challenge Business Analysts and BI developers have is the need to ingest and process medium to large data sets on a regular basis. Common Data Model.

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Data as Experience: The Customer Role

Perficient

This is a continuation of my Data As Experience Series. They want to know all sorts of things ranging from what is the service, how is it being consumed across multiple locations, and how can they use the data to improve their service function. This includes: Data Monetization: More and more companies now realize the data they hold has value. Data & Analytics Strategy analytics customer experience Data data as experience

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Data Integration: Taming the Beast of Healthcare

Perficient

To accomplish this, operational data has to be extracted and integrated. Integrating clinical data at this level of detail requires a (wait for it) monstrous effort. To satisfy these complex reporting and analysis requirements requires finding the needed data in many operating systems then merge it all together in a usable way. Lack of expertise in these areas can adversely affect the quality, accuracy and usability of a data warehouse.

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Governance in Healthcare: Big Data is Table Stakes

Perficient

Big data itself does not alter the approach to governance nor its framework. And big data isn’t just about data – it’s also concerned with managing and governing vast amounts of content of varying types such as video, images, voice, etc.

Most popular health apps routinely share data with little transparency

Mobi Health News

Researchers noted transmissions of specific sensitive data, such as a user’s drug list, that could de-identify the user and be repurposed for commercial uses

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Visualization Tools Help Put Data to Work

Perficient

Army claim that clinical data visualization is a key component in the usage and delivery of EHRs because it: Presents data in a pleasing, easy-to-understand manner. Makes digesting and sharing data faster and simpler. Researchers with the U.S.

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Data Integration: Taming the Beast of Healthcare – Part 2

Perficient

Last September I started a blog series on data integration for Healthcare. The problem, it is impressively difficult to integrate data from one or more EMR systems into a cohesive analytical database. Let me recap part 1 “ Data Integration: Taming the Beast of Healthcare ”.

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Digital Intelligence and the Role of Data in Personalization

Perficient

In a data-driven environment, it is no surprise that this year Information Executives (CIO, CDO, CTO, CAO) focus on the following topics according to IDG, Gartner, CIO, and Forrester: Trying to figure out ways to increase IT Budget to spend on innovative products and design.

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Data Integration: Taming the Beast of Healthcare – Part 3

Perficient

I’ve said it before and I’ll say it again… it is impressively difficult to integrate data from one or more EMR systems into a cohesive analytical warehouse database. Before any organization takes on the job to build a data warehouse there needs to be a reason to do it.

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Doctors Against Data Entry: Exploring Systems To Beat Physician Burnout

Electronic Health Reporter

A staggering 96 percent of physicians are reporting that the amount of time they spend on data input has increased in the last 10 years, and 86 percent agree it’s robbing them of joy in their jobs, according to a recent survey by Geneia, a […].

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Sharing Too Much? A Tale of Privacy, Big Data and Sleep Technologies

Electronic Health Reporter

People are able to gather data about their sleep to help them get better rest, track insomnia, stress, and exercise, and keep up to date on their own daily routines […]. A Tale of Privacy, Big Data and Sleep Technologies appeared first on electronichealthreporter.com.

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Three Lessons To Learn From the UConn Health Data Breach

Electronic Health Reporter

The article Three Lessons To Learn From the UConn Health Data Breach appeared first on electronichealthreporter.com. Editorial cyber security training data breaches Ilia Sotnikov Netwrix UConn HealthThis content is copyrighted strictly for Electronic Health Reporter.

What the Pew Data on Americans’ Views on Technology Means for Healthcare

Health Populi

This data point is part of a larger consumer survey on Americans’ attitudes about the growing role of technology in society, particularly with respect to political and social impacts.

Medical Device Development and Data Science Integration

Electronic Health Reporter

The article Medical Device Development and Data Science Integration appeared first on electronichealthreporter.com. Editorial AI Cyient healthcare data science medical devices Sean OttoThis content is copyrighted strictly for Electronic Health Reporter.

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Social Determinants of Health: Complete Data for Targeted Care

Perficient

As healthcare organizations continue to implement technologies and strategies to bring targeted, value based care to their patients and communities, the demand to access and integrate patient information from non-traditional data sources as risen substantially.

Data from Connected Medical Devices: 5 Benefits

E-CareManagement Blog

Guest Post by Abbas Dhilawala , Chief Technology Officer, Galen Data . The post Data from Connected Medical Devices: 5 Benefits appeared first on e-CareManagement blog. Guest Posts chronic disease disease management healthcare healthcare data internet of things IoT medical devices

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Incorporate Visualization Through Data Collection in Healthcare

Perficient

Once data has been collected and stored, a healthcare organization must provide proper visualization. According to researchers with the US Army , “Clinical data visualization is a key component in the usage and delivery of EHRs.”. Here’s why : It presents data in a pleasing, easy-to-understand manner. Digesting and sharing data is faster and simpler. It reduces the time needed to interpret and understand data points.

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Data Confrontation – Who is Responsible for a Patient’s Data?

33 Charts

Through most of history, data like EKGs were collected by hospitals and health professionals. As watches move from fitness trackers to medical devices, questions emerge such as, what is a healthcare system’s responsibility to work with individually collected data?

Sicker Consumers Are More Willing to Share Health Data

Health Populi

People dealing with chronic conditions are keener to share personally-generated data than people that don’t have a chronic disease, Deloitte’s 2018 Survey of U.S> The post Sicker Consumers Are More Willing to Share Health Data appeared first on HealthPopuli.com.

Data as Experience: The Executive Role

Perficient

This is a continuation of my Data As Experience Series. The last post was on the Data Scientist Role. In general, any sane leader in a company doesn’t want to get a data dump. Hopefully the days are past where any leader logs into the reporting portal so he or she can then export the data to Excel and use Pivot tables to see what happens. In addition, they don’t want old data. Customers have a place in consuming and understanding your data.

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University of Michigan using Apple Watches to build clinical data pool for health research

Mobi Health News

The project will combine participants' Apple Watch data with genetic tests, survey responses, EHR data and other health information

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Genetic data interpretation startup raises $6M

Mobi Health News

Emedgene's constantly updating algorithm highlights genetic variants that could affect a patient's health.

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Data Security: How eVisit protects your booty

eVisit

Telemedicine is easy, right?

Data Lake and Information Governance – The Key Takeaways

Perficient

A Data Lake can be a highly valuable asset to any enterprise, and there is a myriad of technology solutions available for leveraging the processes to feed, maintain and retrieve information from the Lake. This is the primary Takeaway to keep in mind when a Data Lake solution is being considered – or is already in place but needing improvement – by any organization. Defines and ensures all parties adhere to the Rules, Rights and Processes for the use and management of the Data Lake.

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What Is Your HIPAA Data Backup Plan?

Electronic Health Reporter

The data backup plan was established as a mandatory stage of HIPAA compliance to create, implement and maintain a set of rules and procedures for healthcare organizations to follow when managing the backup and restore requirements of electronic protected health information (ePHI).

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Patient Ownership of Data?

Society for Participatory Medicine

Do you care about health data ownership and want to stay abreast of national initiatives to wrestle with and solve ownership issues? What does it mean to own my health data? Barriers: To what extent do uncertainties about data ownership and control slow down data use?

The promises of consumer health data dominated CES 2019

Mobi Health News

From on-stage demos to expo floor chit chat, attendees couldn't resist discussing what data collection and analysis could bring to consumer healthcare technology

Working with the Data Lake Aggregator – Standards and Templates

Perficient

In my previous blog , I described the concept of an “Information Catalog” and how it plays a vital role in ensuring communication between the Data Lake Aggregator and Suppliers and Consumers is efficient and effective due to the common language that it provides.

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Data Driven Predictive Medical Devices: An Interview

Medical Connectivity

Randall Moorman , a practicing cardiologist and professor of medicine, biomedical engineering and molecular physiology and biological physics at the University of Virginia, who spoke about the impact of ‘big data’ on medical devices and showed an overview of their CoMET product.

Oldie but Goodie: Big Data and Banana Pricing – Why Bananas Should be FDA Regulated

Digital Health

While we don’t often call it “Big Data” anymore, having moved on to the new jargon […]. Boards of Directors Digital Health Healthcare Information Technology Sensors & Wearables Uncategorized big data medical AI robot board member spurious correlations VITAL venture capitalNote to readers: I originally wrote this piece in May of 2014.