Posts Tagged ‘Life Sciences’

My last blog dove into robotic process automation fixing mistakes in clinical data entry. This blog highlights enhancing slow recruitment with robotic process automation (RPA). Even the most promising clinical sites can have trouble recruiting enough eligible subjects. Pressure from upper management or the sponsor to meet recruitment targets causes stress and anxiety for study […]

Previously, I analyzed clinical data review platforms. This blog explains how artificial intelligence assists search, confidence scores, and data reviews. Search Data managers and reviewers log in to clinical data review platforms (CDRP), and slice and dice the data they want in order to review for missing, wrong, or inaccurate data. If they can search […]

Perficient’s Life Sciences practice regularly monitors the software release notes for several Oracle Health Sciences applications, including: Argus Safety Oracle Clinical/Remote Data Capture (OC/RDC) Thesaurus Management System (TMS) Generally speaking, we review release notes at the beginning of each month for the previous month. On occasion, there are no new releases and, therefore, nothing to review; however, […]

Previously, I discussed life science subject screening and how robotic process automation can assist. This next installment of the series dives into robotic process automation (RPA) fixing mistakes in clinical data entry. Dirty clinical data is one of the most costly aspects of clinical trials. Not only does the review and clean-up slow down time […]

The evolution of expressing our machine instruction. Let’s get there together. Machine Instruction 1.0 In the past, we taught our computers what to do by expressing our desires with exact instruction. Classic computer programming that listed step by step instructions. We taught our machines how to behave. Arguably, even legacy artificial intelligence worked this way. Of course, this way of directing […]

My last blog discussed how AI assists to create human-computer systems. This next blog in the series analyzes clinical data review platforms. While machine learning (ML) and natural language processing (NLP) functionalities are not currently available in today’s clinical data review platforms (CDRP’s), we know they offer tremendous benefits to the clinical data review and […]

My last blog analyzed site monitoring, and how robotic process automation can enhance it. My next blog discusses life science subject screening and how robotic process automation (RPA) can assist. Even when sites are able to recruit a large pool of potential subjects, sponsors and CROs see far too many subjects who fail to pass […]

Previously I discussed how life sciences companies can establish better relationships with patients. This blog analyses developing a strategic plan and how to get started. When it comes to managing these relationships, the bottom line is that there are some dramatic shifts taking place in healthcare, and life sciences companies need to understand, harness, and […]

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 […]

Previously, I discussed fixing clinical trial challenges with robotic process automation. This blog analyses site monitoring, and how robotic process automation (RPA) can enhance it. While sponsors, CROs, and sites all acknowledge that site monitoring is a necessary part of ensuring clinical trials are run in compliance with governing regulations and protocols, it can be […]

Has your organization been thinking about upgrading your Siebel Clinical Trial Management (CTMS) system to the latest version available, but aren’t exactly sure what the potential benefits an upgrade could bring? With the newest version of Siebel, Innovation Pack 2019 (IP2019), there are some significant updates that bring key features and benefits to end users. […]

Ensuring that clinical trial data is accurate and that clinical trials are safe and effective, is a time-consuming and a manually intensive process. Many life sciences companies have implemented home-grown or off-the-shelf clinical data review platforms and defined the reviewing and cleaning processes to be used with them. Many of these systems have proven to […]