Development of an electronic research permissions management system to enhance informed consents and capture research authorizations data.

Informed consents are a critical and essential component of the clinical research process. Currently, most consents and research privacy authorizations are being captured on paper. In this paper we describe a novel method of capturing this information electronically. The objective is to allow easier tracking of research participants' intent for current and future research involvement, enhance consent comprehension and facilitate the research workflow. After multidisciplinary analysis in key hospital registration areas and research participant enrollment, an open source software product was designed to capture this data through a user-friendly touch screen interface. The data may then be fed into a clinical data warehouse for use in cohort discovery or consent tracking. Despite ethical, legal and informatics challenges in clinical and research environments, we propose that this technology opens new avenues for significantly enhancing the consent process and positively impacting recruitment.

Managing clinical research permissions electronically: A novel approach to enhancing recruitment and managing consents.

BACKGROUND: One mechanism to increase participation in research is to solicit potential research participants' general willingness to be recruited into clinical trials. Such research permissions and consents typically are collected on paper upon patient registration. We describe a novel method of capturing this information electronically. PURPOSE: The objective is to enable the collection of research permissions and informed consent data electronically to permit tracking of potential research participants' interest in current and future research involvement and to provide a foundation for facilitating the research workflow. METHODS: The project involved systematic analysis focused on key areas, including existing business practices, registration processes, and permission collection workflows, and ascertaining best practices for presenting consent information to users via tablet technology and capturing permissions data. Analysis was followed by an iterative software development cycle with feedback from subject matter experts and users. RESULTS: An initial version of the software was piloted at one institution in South Carolina for a period of 1 year, during which consents and permission were collected during 2524 registrations of patients. The captured research permission data were transmitted to a clinical data warehouse. The software was later released as an open-source package that can be adopted for use by other institutions. LIMITATIONS: There are significant ethical, legal, and informatics challenges that must be addressed at an institution to deploy such a system. We have not yet assessed the long-term impact of the system on recruitment of patients to clinical trials. CONCLUSIONS: We propose that by improving the ability to track willing potential research participants, we can improve recruitment into clinical trials and, in the process, improve patient education by introducing multimedia to informed consent documents.

An investigation of the efficacy of electronic consenting interfaces of research permissions management system in a hospital setting.

PURPOSE: Ethical and legal requirements for healthcare providers in the United States, stipulate that patients sign a consent form prior to undergoing medical treatment or participating in a research study. Currently, the majority of the hospitals obtain these consents using paper-based forms, which makes patient preference data cumbersome to store, search and retrieve. To address these issues, Health Sciences of South Carolina (HSSC), a collaborative of academic medical institutions and research universities in South Carolina, is developing an electronic consenting system, the Research Permissions Management System (RPMS). This article reports the findings of a study conducted to investigate the efficacy of the two proposed interfaces for this system - an iPad-based and touchscreen-based by comparing them to the paper-based and Topaz-based systems currently in use. METHODS: This study involved 50 participants: 10 hospital admission staff and 40 patients. The four systems were compared with respect to the time taken to complete the consenting process, the number of errors made by the patients, the workload experienced by the hospital staff and the subjective ratings of both patients and staff on post-test questionnaires. RESULTS: The results from the empirical study indicated no significant differences in the time taken to complete the tasks. More importantly, the participants found the new systems more usable than the conventional methods with the registration staff experiencing the least workload in the iPad and touchscreen-based conditions and the patients experiencing more privacy and control during the consenting process with the proposed electronic systems. In addition, they indicated better comprehension and awareness of what they were signing using the new interfaces. DISCUSSION: The results indicate the two methods proposed for capturing patient consents are at least as effective as the conventional methods, and superior in several important respects. While more research is needed, these findings suggest the viability of cautious adoption of electronic consenting systems, especially because these new systems appear to address the challenge of identifying the participants required for the complex research being conducted as the result of advances in the biomedical sciences.

Challenges that limit meaningful use of health information technology.

PURPOSE: Health information technology (HIT) is perceived as an essential component for addressing inefficiencies in healthcare. Without understanding the challenges that limit meaningful use of HIT, there is a high chance that institutions will convert complex paper-based systems to expensive digital chaos. RECENT FINDINGS: Clinical information systems do not communicate with each other automatically because integration of existing data standards is lacking. Data standards for medical specialties need further development. Database architectures are often designed to support single clinical applications and are not easily modified to meet the enterprise-wide needs desired by all end-users. Despite the improvements in charge capture and better access to health information the realized savings and impact on patient throughput is not enough to cover the cost of the technology, maintenance, and support. HIT is necessary for improved quality of care but it increases the cost of doing business. Poor user interface and system design hinders clinical workflow and can result in wasted time, poor data collection, misleading data analysis, and potentially negative clinical outcomes. Healthcare organizations have little recourse if a vendor fails to deliver as intended once the vendor's system becomes embedded into the organization. Decisions on technology acquisitions and implementations are often made by individuals or groups that lack clinical informatics expertise. SUMMARY: Government incentives to increase HIT will likely result in a more computerized clinical environment. Understanding the challenges can help avoid costly mistakes. The future looks promising but caution is warranted, as achievement of full benefits of HIT requires addressing significant challenges.