Posts Tagged ‘Clinical Data’

I recently shared a project in which we helped a pharmaceutical company build studies in Oracle InForm. Today, I want to share a project that has to do with the length of time it took for a major pharmaceutical company to run Oracle InForm reports, which caused significant problems, including delays in being able to […]

The beauty of having a versatile team of clinical data management experts is that they understand the life sciences industry and how companies operate. Through client projects and having worked at pharma companies in previous roles, they know the many unique challenges and needs of pharmaceutical and medical device companies. Equally important, they’re also technologists. […]

My last installment explained how artificial intelligence (AI) assists search, confidence scores, and data reviews. This blog dives into how artificial intelligence helps review plans, provide statistical analysis to data, and robotic process automation. Review Plans Prior to starting data review, each team has its own review plan. The data review team has a data […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]