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AI Creates a Human-Computer System in Life Sciences

Previously, I discussed artificial intelligence (AI) enhancing clinical data review processes. This blog discusses how AI assists to create a human-computer system. Humans and machines each have their own strengths. On the one hand, machines are good at processing and analyzing large volumes of data with high speed and accuracy. On the other hand, humans […]

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Overview of AI in Clinical Data Review Platforms

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. During the past several years, many pharmaceutical companies implemented home-grown or off-the-shelf Clinical Data Review Platforms. They defined […]

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Perficient & Northwell to Showcase Analytics Platform at HIMSS

Perficient is excited to showcase a comprehensive analytics and data strategy solution developed in partnership with Northwell Health at the 2019 HIMSS Global Conference and Exhibition. In this session, Perficient and Northwell Health will discuss how the importance of aligning with business decision makers is integral to a successful analytics strategy and how incrementally building […]

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Data Integration: Taming the Beast of Healthcare – Part 3

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. Especially if you’re doing it from scratch. In my last two blogs (Data Integration: Taming the Beast of Healthcare & Data Integration: Taming the Beast of Healthcare […]

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Data Integration: Taming the Beast of Healthcare – Part 2

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. The fact that I’ve been doing that job for the last 2 months is a testament to that statement since it kept me […]

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Data Integration: Taming the Beast of Healthcare

Healthcare providers need to create useful, not to mention required, reports and they need to perform complicated analysis. To do that effectively requires bringing disparate information from multiple operating systems together. The goal… find opportunities to improve patient care and lower operating costs. To accomplish this, operational data has to be extracted and integrated. Integrating […]

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How To Fix Clinical Data Entry Mistakes At Clinical Sites

Dirty clinical data is one of the most costly aspects of clinical trials. Not only does the review and cleanup slow down time to market and increase development costs, dirty data can stall or even kill a new drug application (NDA). Consistently receiving dirty data from sites can seriously damage a sponsor’s or contract research […]

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Top 5 Pharma & Medical Device Blog Posts From August 2017

Now that September is here, I thought it would be neat to look back at what our readers found most interesting last month. Below are the top five blog posts Perficient’s life sciences practice wrote in August – they’re ranked in order of popularity, with number one being the most viewed piece. What The FDA Requires Of […]

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What Is Internet Of Things (IoT) For Clinical Data Collection?

Imagine with me: After successfully enrolling in a clinical study, a subject is issued a wrist tracker and a digital skin patch, and is given login credentials for a proprietary app to download on her mobile phone and tablet. Over the course of the study, her wrist tracker and skin patch continuously collect and transmit […]

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Oracle Data Management Workbench Overview And Use Cases

This Thursday, Perficient is hosting a webinar on Oracle Data Management Workbench (DMW) alongside Oracle, one of our most valued partners. From Perficient, we’ll have Prabha Ranganathan, the director of clinical data warehousing and analytics, and from Oracle, we’ll have Srinivas Karri, the director of product strategy for DMW. Yesterday, I got a sneak peek […]

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Using Oracle DMW To Solve Clinical Data Review Challenges

In part one of this two-part blog series, we outlined a number of challenges that organizations face with clinical data reviews. In today’s post, part two of the series, we’ll take a look at how Oracle Health Sciences Data Management Workbench (DMW) can be used to tackle those challenges. DATA MANAGEMENT WORKBENCH (DMW) OVERVIEW When […]

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Key Challenges Our Clients Face With Clinical Data Review

When it comes to clinical trials, bad data can result in severe consequences. Research and development can become more complicated and lives can be put at risk. Clean clinical data is critical for accurate analysis and reporting, ultimately enabling safer drugs and devices to be brought to market faster. In this two-part blog series, we’ll […]

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Top 5 Life Sciences Blog Posts From February 2017

Now that March is here, I thought it would be neat to look back at what our readers found most interesting last month. Below are the top five blog posts Perficient’s life sciences practice wrote in February – they’re ranked in order of popularity, with number one being the most viewed piece. How And Why I Use Oracle VM […]

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Recording Review Actions During A Clinical Data Review

As was mentioned in a previous post, providing an easy-to-use interface is important for data review, including filtering, audit data, and User Review Action buttons. The user actions buttons initiate recording that all, or a portion, of a review has been performed. In the previous section, we mentioned a Review Timestamp, which is one of […]

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Identifying Which Data To Review During A Clinical Data Review

In my last blog post, I presented some thoughts on showing data changed since last review. Today, we will concentrate on the level of scrutiny and what happens when recording the user actions in the review. Not all data may require the same level of scrutiny during a review. Additional focus may need to be […]

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Identifying New Or Changed Data During A Clinical Data Review

In my previous post, we discussed some examples of business rules that might be applied depending on how many people are performing a clinical data review. Today, we’ll discuss approaches for selecting the data that is being reviewed. In any data review that occurs multiple times during the course of a study there are two […]

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Are These Design Elements On Your List For Clinical Data Review?

In a few of my previous blog posts (4 Ways You Can Improve The Clinical Data Review Process and Using On-demand Data With Dynamic Data Writeback In Spotfire), I discussed using Spotfire as an aid for Clinical Review of data along with supporting writeback capabilities to record the user review actions. In the next several […]

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Top 5 Life Sciences Blog Posts From January 2017

Now that February is here, I thought it would be neat to look back at what our readers found most interesting last month. Below are the top five blog posts Perficient’s life sciences practice wrote in January – they’re ranked in order of popularity, with number one being the most viewed piece. 4 Ways You Can Improve […]

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Reviewing Clinical Data With Value Added And External Data

In my last post, I discussed performing a clinical data review in Oracle’s Data Management Workbench, which takes value added data into consideration. Today, we’ll take it a step further and add external data into the mix. This scenario extends the data available for review by including data from external partners who may be managing […]

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Leveraging Value Added Data For Clinical Data Review In DMW

In my previous post, we discussed a simple scenario for reviewing clinical data cleanliness in Oracle’s Data Management Workbench. Today, we’ll discuss a similar process, although this scenario leverages value added data. Establishing value added data is another way to help the clinician to more quickly review the data and spot outliers and questionable data. […]

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