Consensus-based framework for evaluating data modernization initiatives: the case of cancer registration and electronic reporting.

As part of its data modernization initiative (DMI), the Centers for Disease Control and Prevention, Division of Cancer Prevention and Control is testing and implementing innovative solutions to improve cancer surveillance data quality and timeliness. We describe a consensus-based effort to create a framework to guide the evaluation of cancer surveillance modernization efforts by addressing specific context, processes, and costs related to cancer registration. We drew on prior theories, consulted with experts, and sought feedback from cancer registry staff.

Operational Characteristics of Central Cancer Registries that Support the Generation of High-Quality Surveillance Data.

Objectives: We aim to assess external and internal attributes and operations of the Centers for Disease Control and Prevention (CDC)'s National Program of Cancer Registries (NPCR) central cancer registries by their consistency in meeting national data quality standards.

Methods: The NPCR 2017 Program Evaluation Instrument (PEI) data were used to assess registry operational attributes, including adoption of electronic reporting, compliance with reporting, staffing, and software used among 46 NPCR registries. These factors were stratified by (1) registries that met the NPCR 12-month standards for all years 2014-2017; (2) registries that met the NPCR 12-month standards at least once in 2014-2017 and met the NPCR 24-month standards for all years 2014-2017; and (3) registries that did not meet the NPCR 24-month standards for all years 2014-2017.

Pursuing Data Modernization in Cancer Surveillance by Developing a Cloud-Based Computing Platform: Real-Time Cancer Case Collection.

Cancer surveillance is a field focused on collection of data to evaluate the burden of cancer and apply public health strategies to prevent and control cancer in the community. A key challenge facing the cancer surveillance community is the number of manual tasks required to collect cancer surveillance data, thereby resulting in possible delays in analysis and use of the information. To modernize and automate cancer data collection and reporting, the Centers for Disease Control and Prevention is planning, developing, and piloting a cancer surveillance cloud-based computing platform (CS-CBCP) with standardized electronic reporting from laboratories and health-care providers.

Population Heath Informatics Can Advance Interoperability: National Program of Cancer Registries Electronic Pathology Reporting Project.

Purpose: Given the reach, breadth, and volume of data collected from multiple clinical settings and systems, US central cancer registries (CCRs) are uniquely positioned to test and advance cancer health information exchange. This article describes a current Centers for Disease Control and Prevention (CDC) National Program of Cancer Registries (NPCR) cancer informatics data exchange initiative.

Methods: CDC is using an established cloud-based platform developed by the Association of Public Health Laboratories (APHL) for national notifiable disease reporting to enable direct transmission of standardized electronic pathology (ePath) data from laboratories to CCRs in multiple states.

Using informatics to improve cancer surveillance.

Objectives: This review summarizes past and current informatics activities at the Centers for Disease Control and Prevention National Program of Cancer Registries to inform readers about efforts to improve, standardize, and automate reporting to public health cancer registries.

Target Audience: The target audience includes cancer registry experts, informaticians, public health professionals, database specialists, computer scientists, programmers, and system developers who are interested in methods to improve public health surveillance through informatics approaches.

Scope: This review provides background on central cancer registries and describes the efforts to standardize and automate reporting to these registries.

Cancer collection efforts in the United States provide clinically relevant data on all primary brain and other CNS tumors.

Cancer surveillance is critical for monitoring the burden of cancer and the progress in cancer control. The accuracy of these data is important for decision makers and others who determine resource allocation for cancer prevention and research. In the United States, cancer registration is conducted according to uniform data standards, which are updated and maintained by the North American Association of Central Cancer Registries.

Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review.

We followed a systematic approach based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) systems that generate structured information from unstructured free text. Seven literature databases were searched with a query combining the concepts of natural language processing and structured data capture. Two reviewers screened all records for relevance during two screening phases, and information about clinical NLP systems was collected from the final set of papers.

Implementation of the National Breast and Cervical Cancer Early Detection Program: the beginning.

In 1990, Congress passed the Breast and Cervical Cancer Mortality Prevention Act because of increases in the number of low-income and uninsured women being diagnosed with breast cancer. This act authorized the Centers for Disease Control and Prevention (CDC) to establish the National Breast and Cervical Cancer Early Detection Program (NBCCEDP) to provide high-quality and timely breast and cervical cancer screening and diagnostic services to low-income, uninsured women. The program started in 1991, and, in 1993, Congress amended the act to allow the CDC to fund American Indian and Alaska Native tribes and tribal organizations.