Barriers to Healthcare Data Standardization

Perficient

There are numerous obstacles in making healthcare data useful for downstream analysis for decision making. There may be no bigger challenge than taking data that has been captured from disparate healthcare EMR systems and cleansing and normalizing them into something uniform for consumption. This is a result of the way that data is captured in EMR systems. It is important to understand why data could be non-standard to determine what to do about it.

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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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Data As Experience: Designing For The User

Perficient

This is a continuation of my Data As Experience Series. All too often, I see a report designer think more about how to make a report grab the right data than about what the end user really needs. Yes, data foundation, governance, data flows etc are important.

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Healthcare Data Management In A Data Economy

Electronic Health Reporter

By Karen Way, global practice lead for data and intelligence, NTT DATA Services. The article Healthcare Data Management In A Data Economy appeared first on electronichealthreporter.com. Editorial Healthcare Data Management interoperability Karen Way NTT DATA Services

Would you trust Alexa with your patient data?

KevinMD

Amazon has opened a new health care frontier: Now Alexa can be used to transmit patient data.

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.

Data Loss Prevention (DLP) in Microsoft Teams

Perficient

Protecting your information has become increasingly important and businesses now require that you comply with business standards and industry regulations to ensure the sensitive data is kept safe. Go to Data loss prevention > Policy. Go to Data loss prevention > Policy.

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Overview of AI in Clinical Data Review Platforms

Perficient

Enhancing the clinical data review and cleaning process using available AI technologies, will enable pharma companies to release new drugs to the market following an effective process and ensuring the safety & efficacy of the drugs released.

Trust In Data Stewardship Is Healthcare Providers’ To Lose

Health Populi

This chart illustrated data from that survey, showing that trust, authenticity and satisfaction were the top three drivers among consumers looking to engage for health. Read my post for more context and details into my post-HIMSS 2019 thinking on trust in data stewardship.

Data Privacy Laws in Financial Services: NYDFS 500

Perficient

In my previous post, I discussed what data privacy is and why it’s important? In my post today I want to discuss data privacy laws, specifically involving New York State Department of Financial Services (NYDFS) 23 NYCRR 500.

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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.

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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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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Cloud Trends in 2019: Unlocking Your Data

Perficient

Businesses have a lot of data. However, the sheer amount of data that businesses have can even surprise them. This is because old models and legacy systems have often left data siloed and unable to interact with other data. Data being stored in these disparate places symbolizes the lack of a cohesive model that businesses can suffer from. This is because the cloud doesn’t just connect this data. Simply put, the cloud allows your data to be dynamic.

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[Guide] Data Privacy Laws in Financial Services: NYDFS 500 & GDPR

Perficient

What is Data Privacy and Why is it Important? Data privacy, or data protection, is the relationship between the collection and dissemination of data, technology, the public perception and expectation of privacy, and the political and legal issues surrounding it all. Individuals, as well as businesses, want to protect their sensitive data, the unauthorized disclosure of which may not be in their best interest.

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Design Thinking in the World of Data

Perficient

So how does it apply to data? Applying Design Thinking to Data Solutions. Why not think about a design thinking approach in the world of data? In addition, there is no data collection of the macro factors that surround the patient’s dependency on logistics.

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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.

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).

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.

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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Report: Digital health innovation stymied by poor data sharing

Mobi Health News

Patients and providers alike are interested in, and see major benefits from, increased access to digital health records, according to a new report from Royal Philips

Q1 2019 Healthcare Data Breaches

Optimum Healthcare IT

Healthcare data breaches started slowly in 2019 but saw gradual increases through January, eventually averaging one per day. Don’t be a victim of a data breach. The post Q1 2019 Healthcare Data Breaches appeared first on Optimum Healthcare IT.

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.

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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How To Avoid Healthcare Data Hacking

Electronic Health Reporter

Healthcare data hacking has started occurring pretty often nowadays and most people are not even aware that their data has been stolen. The main problem is that people are not aware of healthcare data breach […].

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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.

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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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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Health Home Program and Data: New Challenges for Care Plans

Perficient

Not only do they contract service providers to be part of their HHP network, but they are responsible for gathering and reporting clinical and/or operational data, communicating with providers about key events, and administering reimbursement to the HHP provider. What Data is Critical?

Innovation in Medical Devices and Diagnostics Collecting Objective Data: Analysis of Products Compared to U.S. Healthcare Spend

MedTech Boston

Data in healthcare is becoming more prominent, with a growing number of companies focused on data insights as a primary value driver. The post Innovation in Medical Devices and Diagnostics Collecting Objective Data: Analysis of Products Compared to U.S.

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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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

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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Is Artificial Intelligence the ‘Killer App’ for Data Governance?

Perficient

For many years data governance was the thing that we knew we should do because it was the correct thing to do but somehow it never got the priority it should get. All of these practices require data. Bad Data ? We often hear that AI systems get better with more data. With the reports coming out now about implicit and unconscious bias in AI models we are just starting to hear about the implications of bad data in AI models. Data & Analytics

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Keeping the patient-centric approach in data management: realities and challenges

Mobi Health News

However, putting patients first is easier said than done, especially when clinicians and physicians are often time-crunched, there are fragmented sources of healthcare data and legal/regulatory concerns when it comes to the management of healthcare data.

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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Patients more willing to share mobile mental health data with doctors than family, EHRs

Mobi Health News

In a small study published in JMIR, patients were more willing to share health data, such as activity and sleep trackers, than personal data, like call logs and location.

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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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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