Life Sciences

Previously, I examined how robotic process automation (RPA) can improve document compliance. The final installment of this series explains how to get started with RPA. The opportunities to use robotic process automation are almost limitless. The examples presented in this guide are just a few areas in which RPA can be used in life sciences […]

In my previous post on Cloud Resources – Policy and Practice, I referenced the “shared security model” adopted by all cloud providers. In this post, we will dive deeper into the differences and consequences of sharing the responsibility for securing computing resources, applications, data, and networks. Whether your organization is extending into cloud-based resources or […]

Previously, I dove into how artificial intelligence helps review, and provide statistical analysis to data. The final blog of this series outlines how to be successful with an artificial intelligence implementation. Setting initial expectations and not promising a magic bullet is a key factor in determining the success of an initiative that focuses on deploying […]

Previously, I explained how robotic process automation can assist updating outdated contact details. This blog examines how robotic process automation (RPA) can improve document compliance. Keeping sites in compliance with their required documentation is an ongoing battle for every sponsor and CRO. Considering the volume of documentation involved in a clinical trial, it is no […]

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, […]

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 […]

My last blog discussed enhancing slow recruitment with robotic process automation. This installment explains how robotic process automation (RPA) can assist updating outdated contact details. At first glance, having outdated contact information for sites might seem like a relatively minor issue. But when it results in delays related to required documents, monitoring visits, or clinical […]

Many major providers did not properly plan for the previous presidential election results. Aetna CEO, Mark Bertolini, according to an article published in the Hartford Courant, sent his team back to the drawing board to develop another plan due to the potential repeal of the Affordable Care Act by the Trump administration. Many Payers are reeling […]

How Payers and Providers are using Population Health Management to improve patient outcomes and manage costs. According to Markets & Markets, the largest market research firm worldwide: “The population health management market is projected to reach USD 42.54 Billion by 2021 from USD 13.85 Billion in 2016, at a CAGR of 25.2% in the next […]

This blog is part of a series exploring Agile methodologies. Read the last post in the series here. This post will explore Agile estimation and the different estimation techniques. Estimation is more the “art” than the “science” of program management so polish the crystal ball and let’s get started. Agile estimation is fundamentally different from […]

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 […]