Public Health Data Collection and Sharing Using HIPAA Messages

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Public health information has significant value for doctors, public health officials, epidemiological researchers, the general public, and government agencies. Unfortunately, these data are difficult to obtain and are typically collected on as-needed basis and maintained locally. This localized process unavoidably limits the access to important public health data by its users. Moreover, the diversity of data transmission standards and collection techniques make the collected data less usable. This paper proposes a new standardized public health information system based on the HIPAA (Health Insurance Portability and Accountability Act) messages, which are the standard transactions between hospitals and insurance companies. In particular, this paper explores the applicability of HIPAA messages as a data source and transmission standard, and proposes a prototype design of a new system to collect and share public health data using HIPAA messages.

Related collections

Most cited references 8

Record: found
Abstract: found
Article: not found

Implementing syndromic surveillance: a practical guide informed by the early experience.

Kenneth Mandl, J Marc Overhage, Michael M. Wagner … (2015)

Syndromic surveillance refers to methods relying on detection of individual and population health indicators that are discernible before confirmed diagnoses are made. In particular, prior to the laboratory confirmation of an infectious disease, ill persons may exhibit behavioral patterns, symptoms, signs, or laboratory findings that can be tracked through a variety of data sources. Syndromic surveillance systems are being developed locally, regionally, and nationally. The efforts have been largely directed at facilitating the early detection of a covert bioterrorist attack, but the technology may also be useful for general public health, clinical medicine, quality improvement, patient safety, and research. This report, authored by developers and methodologists involved in the design and deployment of the first wave of syndromic surveillance systems, is intended to serve as a guide for informaticians, public health managers, and practitioners who are currently planning deployment of such systems in their regions.

0 comments Cited 112 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Technical Description of RODS: A Real-time Public Health Surveillance System

Fu-Chiang Tsui, Jeremy Espino, Virginia M. Dato … (2003)

This report describes the design and implementation of the Real-time Outbreak and Disease Surveillance (RODS) system, a computer-based public health surveillance system for early detection of disease outbreaks. Hospitals send RODS data from clinical encounters over virtual private networks and leased lines using the Health Level 7 (HL7) message protocol. The data are sent in real time. RODS automatically classifies the registration chief complaint from the visit into one of seven syndrome categories using Bayesian classifiers. It stores the data in a relational database, aggregates the data for analysis using data warehousing techniques, applies univariate and multivariate statistical detection algorithms to the data, and alerts users of when the algorithms identify anomalous patterns in the syndrome counts. RODS also has a Web-based user interface that supports temporal and spatial analyses. RODS processes sales of over-the-counter health care products in a similar manner but receives such data in batch mode on a daily basis. RODS was used during the 2002 Winter Olympics and currently operates in two states—Pennsylvania and Utah. It has been and continues to be a resource for implementing, evaluating, and applying new methods of public health surveillance.

0 comments Cited 56 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

GIS and disease.

Ellen Cromley (2003)

Geographic information systems (GIS) and related technologies like remote sensing are increasingly used to analyze the geography of disease, specifically the relationships between pathological factors (causative agents, vectors and hosts, people) and their geographical environments. GIS applications in the United States have described the sources and geographical distributions of disease agents, identified regions in time and space where people may be exposed to environmental and biological agents, and mapped and analyzed spatial and temporal patterns in health outcomes. Although GIS show great promise in the study of disease, their full potential will not be realized until environmental and disease surveillance systems are developed that distribute data on the geography of environmental conditions, disease agents, and health outcomes over time based on user-defined queries for user-selected geographical areas.

0 comments Cited 39 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

Min Wu: wu@uwm.edu

Journal

Journal ID (nlm-ta): J Med Syst

Journal ID (iso-abbrev): J Med Syst

Title: Journal of Medical Systems

Publisher: Kluwer Academic Publishers-Plenum Publishers (New York )

ISSN (Print): 0148-5598

ISSN (Electronic): 1573-689X

Publication date (Print): 2005

Volume: 29

Issue: 4

Pages: 303-316

Affiliations

[1 ]GRID grid.267468.9, ISNI 0000000106957223, Department of Health Sciences, , University of Wisconsin-Milwaukee, ; P.O. Box 413, Milwaukee, Wisconsin 53201

[2 ]GRID grid.267468.9, ISNI 0000000106957223, Department of Computer Science, , University of Wisconsin-Milwaukee, ; Wisconsin-Milwaukee,

[3 ]GRID grid.267468.9, ISNI 0000000106957223, Department of Geography, , University of Wisconsin-Milwaukee, ; Wisconsin-Milwaukee,

Article

Publisher ID: 5890

DOI: 10.1007/s10916-005-5890-1

PMC ID: 7087619

PubMed ID: 16178329

SO-VID: 26a96bcf-e2a4-4a23-85a2-52a919ed45ab

License:

This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.