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Value-Based Care Models as Alternatives to Fee for Service

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 […]

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The Evolution of Care Management – Managing Patient Outcomes and Costs

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 […]

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Agile Street Smarts Series: Agile Estimation Levels and Techniques

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 […]

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Robotic Process Automation Can Enhance Slow Subject Recruitment

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 […]

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AI Helps Search, Confidence Scores, and Data Review

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 […]

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Cloud Procurement Approval Management

Cloud Procurement offers a new interface defining approval workflow for Requisitions, Purchase Documents (Order, Blanket, Contract) and Supplier Management. Approval rules are managed in a user friendly interface that integrates back-end Business Process Management (BPM) while keeping a logical and complete setup in front of the user. While relatively simple to define rules in Approval […]

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Install, Configure, Deploy FileNet P8 using Ansible

Here is something I’m working on at Perficient to make installing/upgrading, configuring, and deploying IBM FileNet P8 more efficient. It even creates a Domain, and Object Store. All using Ansible. If your organization is looking to implement something like this in your environment, give Perficient a call. We’ll be happy to assist.    For […]

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Argus Safety, Oracle Clinical & RDC Release Notes [Nov. 2019]

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, […]

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Robotic Process Automation Fixes Mistakes in Clinical Data Entry

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 […]

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Data Ethics – The Profound Impacts of New Technology

Data ethics and security have been around a long time – as long as data. Constantly evolving. But, continued tech advancement has made a profound impact. So, data security and data ethics is more important than ever. 1. Magnified Relevance Tech has enabled an exponential increase of data. We know this. The more data, the […]

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Machine Instruction 3.0: Express Your Desire

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 […]

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Clinical Data Review Platforms in Life Sciences (CDRP)

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 […]

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Subject Screening with Robotic Process Automation: Life Sciences

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 […]

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Developing a Strategic Vision in Life Sciences

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 […]

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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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Life Sciences Site Monitoring with Robotic Process Automation

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 […]

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Register for This Webinar to Learn More About Siebel CTMS IP2019

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. […]

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How AI Can Enhance the Clinical Data Review and Cleaning Process

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 […]

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Life Sciences Companies Can Establish Better Relationships

It used to be that a doctor was a patient’s only touch point for a diagnosis and prescription. Today, patients have many more avenues to get the information they seek, which has led to higher expectations from patients. Fortunately, life sciences companies have the opportunity to understand, educate, and treat patients by successfully engaging them. […]

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Addressing Clinical Trial Challenges with Robotic Automation

The success of any given clinical trial depends heavily on the relationship between the sponsors and study sites. This is more important than ever since life sciences and healthcare companies are undergoing a digital transformation. The evolving trend towards patient-centric trials, combined with the introduction of digital technology solutions that improve clinical trials outcomes, means […]

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