West Health Policy Center & APCD Council Launches "All-Payer Claims Database Development Manual: Establishing a Foundation for Health Care Transparency and Informed Decision Making" The Gary and Mary West Health Policy Center and the APCD Council have launched a manual for states to guide development of all-payer claims databases (APCDs). Read the press release Read the manual ABOUT THE APCD COUNCIL The APCD Council is a learning collaborative of government, private, non-profit, and…
This paper is intended for use by states that are considering the development of all-payer claims database (APCD) legislation, or those who are revisiting their current legislation. The goal of this paper is to provide information on the current landscape of APCD legislation while highlighting the most critical features of legislation to date.
The purpose of this paper is to provide guidance to states that are planning to issue a Request for Proposals (RFP) and/or Request for Information (RFI) for All-Payer Claims Database (APCD). The information in this paper was derived from the review of previously issued state RFPs and RFIs, and input collected through technical assistance, national workshops, and the Learning Network functions of the APCD Council.
In this document we summarize the input received from the Work Group Panel at the 2012 APCD Meeting, in hopes that both newly formed APCDs and those which are in the process of forming, will benefit from the wisdom of those who have already implemented APCD analytic programs and from the NAHDO data collection on measures in use.
Almost every state has some form of a hospital discharge data reporting system, maintained by a state or private Health Data Organization (HDO). These data systems capture all hospitalizations for every patient, regardless of insurance status or payer. As the demand for healthcare data increases, HDOs are seeking guidance on suitable standards for data release practices. Given the significant role of these healthcare data systems for healthcare reform, state budgeting, and the need for patient …
In the context of the EMR, it is important to understand how existing data systems differ from newly emerging systems, and how existing systems were able to overcome many of the challenges facing those who will be engaged in EMR aggregation efforts. This paper, written by the National Association of Health Data Organizations (NAHDO) for the Agency for Healthcare Research and Quality (AHRQ), will provide an overview of statewide hospital discharge data systems, and the implementation lessons…
This report presents a summary of the costs to states associated with the development of All-Payer Claims Databases (APCDs). The findings are based on information gathered from statesthat have implemented APCDs, including review of state vendor contract documents andtelephone interviews with state contacts. Both current and expired contract documents werereviewed.
Patients, care providers, payers, and policymakers all seek to make evidence-based, data-driven health care decisions. While various state agencies release health care claims data for research and analysis, a strong argument can be made for making valuable state health-related data available for broader use. This issue brief from the California Health Care Foundation highlights federal and state efforts to "free the data" and outlines how California would benefit. Among the highlights of how…
The National Association of Health Data Organizations (NAHDO) in collaboration with its State Data Release Guidelines Workgroup produced this Guidance Document on Creating and Releasing Hospital and Facility Discharge Data Public Use Files to guide Health Data Organizations and others who are seeking guidance on best practices for disseminating hospital discharge data files and the privacy parameters for such releases. Specifically this guidance document aims to promote the release of useful…
Public Health Data Dissemination Guidelines: NAHDO Working Technical Paper SeriesJuly 2005Funded by the Centers for Disease Control Assessment InitiativeEdited By: Gulzar H. Shah, MStat, MSS, Ph.D.