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The NHS is trying to find ways to turn masses of data into useful information. Different approaches include measures of cost efficiency growth and mapping health needs. Companies use a variety of sources of data including hospital episode statistics and census and geodemographic data.
The All Kids Count program began in late 1991 with funding from The Robert Wood Johnson Foundation. The purpose was to improve child health and the delivery of immunizations and preventive services through the development of health information systems. All Kids Count concluded in mid-2004 having worked directly with 38 state and local health agencies through its grant and Connections program. The lessons learned from the 13-year program are applicable to other public health and medical care initiatives. Health information systems projects should: (1) involve stakeholders from the beginning, (2) recognize the complexity of establishing a population-based information system, (3) develop the policy/business/value case for information systems, (4) define the requirements of the system to support users' needs, (5) develop information systems according to current standards, (6) address common problems collaboratively, (7) plan for change, (8) plan boldly but build incrementally, (9) develop a good communications strategy, and (10) use the information (even if not perfect). Opportunities exist for public health agencies to share their experiences from developing immunization registries and integrated child health information systems and to develop collaborative approaches to improving the nation's health information infrastructure.
Public health departments at the state and local levels are pursuing integration strategies to consolidate child health information systems to improve child health. Eighteen health departments were interviewed in this exploratory research study to gather information to describe their current activities related to integrating child health information systems. Results illustrate the common systems being brought together and the technical process for doing so, financing mechanisms, range of anticipated information-users and their method of access to the integrated system, and common internal and external challenges and strengths that the health departments face. The evidence suggests a trend towards more efficient and thoughtful use of the multiplicity of information systems within public health departments as programs consolidate and share data and expand electronic communication with their external partners in the health care delivery system to improve children's health.
Integrated child health information systems consolidate data about multiple health care services a child receives into information useful to families, private health care providers, public health officials, and others. The challenges to successful integration faced by public health agencies are similar, yet system integration projects have historically struggled in isolation to overcome these barriers. All Kids Count created a community of practice called Connections to bring together 11 state and local public health agencies engaged in child health information system integration projects to learn from each other, capture best practices, and collaboratively address challenges. As demonstrated by All Kids Count Connections, communities of practice can be employed by geographically distributed public health agencies to address complex issues.
In both the medical care and public health arenas, a variety of information systems have been developed to serve providers and program managers. In general, these systems have not been designed to share information with other information systems and provide comprehensive information about a child's health status to the information user. A number of initiatives are underway to develop integrated information systems. In December 2003, All Kids Count hosted an invitational conference "Developing Child Health Information Systems to Meet Medical Care and Public Health Needs." Through a series of plenary presentations and breakout discussion groups, participants developed a series of recommendations about governance, economic issues, information infrastructure, and uses of information from integrated child health information systems (CHIS). Common threads in the recommendations were: (1) development of a national coalition of stakeholders to promote integration of separate child health information systems within the context of ongoing national initiatives such as the National Health Information Infrastructure and the Public Health Information Network, (2) the need to develop the business and policy cases for integrated CHIS, (3) the need to develop agreement on standards for collecting and transferring information, and (4) the need to get the word out about the importance of integrating separate CHIS to improve health and health services.
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Strong national health research systems are needed to improve health systems and attain better health. For developing countries to indigenize health research systems, it is essential to build research capacity. We review the positive features and weaknesses of various approaches to capacity building, emphasizing that complementary approaches to human resource development work best in the context of a systems and long-term perspective. As a key element of capacity building, countries must also address issues related to the enabling environment, in particular: leadership, career structure, critical mass, infrastructure, information access and interfaces between research producers and users. The success of efforts to build capacity in developing countries will ultimately depend on political will and credibility, adequate financing, and a responsive capacity-building plan that is based on a thorough situational analysis of the resources needed for health research and the inequities and gaps in health care. Greater national and international investment in capacity building in developing countries has the greatest potential for securing dynamic and agile knowledge systems that can deliver better health and equity, now and in the future.
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Digital government is typically defined as the production and delivery of information and services inside government and between government and the public using a range of information and communication technologies. Two types of government relationships with other entities are government-to-citizen and government-to-government relationships. Both offer opportunities and challenges. Assessment of a public health agency's readiness for digital government includes examination of technical, managerial, and political capabilities. Public health agencies are especially challenged by a lack of funding for technical infrastructure and expertise, by privacy and security issues, and by lack of Internet access for low-income and marginalized populations. Public health agencies understand the difficulties of working across agencies and levels of government, but the development of new, integrated e-programs will require more than technical change - it will require a profound change in paradigm.
We reviewed reported pneumonia cases and deaths in Thailand since 1975 to evaluate the pneumonia surveillance system. In Sa Kaeo Province, we analyzed 3 years in detail (1999--2001) from electronic surveillance data, and compared deaths reported through surveillance to death certificate data in 1999 and 2000. In addition, we interviewed surveillance personnel who collected the data from all 7 hospitals and from a 10% random sample of health centers. Since the mid-1980s, reported illnesses and deaths from pneumonia have been increasing. In Sa Kaeo, an average of 925 pneumonia cases were reported each year, for an estimated average annual incidence of 211 per 100,000. The age-specific incidence peaked at 1,418 per 100,000 in children less than 5 years. In 1999 and 2000, there were 7 and 6 pneumonia deaths, respectively, reported through the surveillance system, compared with 28 and 53, respectively, reported by death certificate. Sixty-two (82%) of the 72 surveillance personnel reported receiving some training, but most of this was informal. Although written criteria to diagnose pneumonia were established in 1996, those who report cases did not know these criteria. A combination of physician, nurse, and public health workers diagnoses were used. According to the written criteria, cases of suspect or rule out pneumonia should be reported, but when asked about specific examples only 79% of persons interviewed said they would report "tuberculosis with pneumonia" and 44% would report "bronchitis, rule out pneumonia." Seventy-four percent of persons interviewed completed the surveillance report within one day of patient admission.
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Syndromic surveillance is a rapidly evolving field within public health practice. Substantial experience has been gained in learning how to conduct syndromic surveillance, informed by a growing body of research and practice, including refinement of surveillance methods, development of new tools for analysis and evaluation, findings from statistical models and applied evaluations, and expansion of syndromic surveillance to uses beyond preparedness for biologic terrorism. Despite these advances, additional evaluation is needed to help health departments determine whether to conduct syndromic surveillance. This paper summarizes the lessons learned from the 2003 National Conference on Syndromic Surveillance, which provided a foundation for defining a research and evaluation agenda and for developing preliminary guidance for public health agencies planning to implement syndromic surveillance.
New York City's first syndromic surveillance systems were established in 1995 to detect outbreaks of waterborne illness. In 1998, daily monitoring of ambulance dispatch calls for influenza-like illness began. After the 2001 World Trade Center attacks, concern about biologic terrorism led to the development of surveillance systems to track chief complaints of patients reporting to emergency departments, over-the-counter and prescription pharmacy sales, and worker absenteeism. These systems have proved useful for detecting substantial citywide increases in common viral illnesses (e.g., influenza, norovirus, and rotavirus). However, the systems have not detected more contained outbreaks earlier than traditional surveillance. Future plans include monitoring school health and outpatient clinic visits, augmenting laboratory testing to confirm syndromic signals, and conducting evaluation studies to identify which of these systems will be continued for the long term.
This paper summarizes the experience of the Real-Time Outbreak and Disease Surveillance (RODS) project in collecting and analyzing free-text emergency department (ED) chief complaints. The technical approach involves real-time transmission of chief-complaint data as Health Level 7 messages from hospitals to a regional data center, where a Bayesian text classifier assigns each chief complaint to one of eight syndrome categories. Time-series algorithms analyze the syndrome data and generate alerts. Authorized public health users review the syndrome data by using Internet interfaces with timelines and maps. Deployments in Pennsylvania, Utah, Atlantic City, and Ohio have demonstrated feasibility of real-time collection of chief complaints. Retrospective experiments that measured case-classification accuracy demonstrated that the Bayesian classifier can discriminate between different syndrome presentations. Retrospective experiments that measured outbreak-detection accuracy determined that the classifier's performance was adequate to support accurate and timely detection of seasonal disease outbreaks. Prospective evaluation revealed that a cluster of carbon monoxide exposures was detected by RODS within 4 hours of the presentation of the first case to an emergency department.
INTRODUCTION: Computer-based outbreak and disease surveillance requires high-quality software that is well-supported and affordable. Developing software in an open-source framework, which entails free distribution and use of software and continuous, community-based software development, can produce software with such characteristics, and can do so rapidly. OBJECTIVES: The objective of the Real-Time Outbreak and Disease Surveillance (RODS) Open Source Project is to accelerate the deployment of computer-based outbreak and disease surveillance systems by writing software and catalyzing the formation of a community of users, developers, consultants, and scientists who support its use. METHODS: The University of Pittsburgh seeded the Open Source Project by releasing the RODS software under the GNU General Public License. An infrastructure was created, consisting of a website, mailing lists for developers and users, designated software developers, and shared code-development tools. These resources are intended to encourage growth of the Open Source Project community. Progress is measured by assessing website usage, number of software downloads, number of inquiries, number of system deployments, and number of new features or modules added to the code base. RESULTS: During September--November 2003, users generated 5,370 page views of the project website, 59 software downloads, 20 inquiries, one new deployment, and addition of four features. CONCLUSIONS: Thus far, health departments and companies have been more interested in using the software as is than in customizing or developing new features. The RODS laboratory anticipates that after initial installation has been completed, health departments and companies will begin to customize the software and contribute their enhancements to the public code base.
The National Retail Data Monitor (NRDM) is a public health surveillance tool that collects and analyzes daily sales data for over-the-counter (OTC) health-care products. NRDM collects sales data for selected OTC health-care products in near real time from >15,000 retail stores and makes them available to public health officials. NRDM is one of the first examples of a national data utility for public health surveillance that collects, redistributes, and analyzes daily sales-volume data of selected health-care products, thereby reducing the effort for both data providers and health departments.
The National Bioterrorism Syndromic Surveillance Demonstration Program identifies new cases of illness from electronic ambulatory patient records. Its goals are to use data from health plans and practice groups to detect localized outbreaks and to facilitate rapid public health follow-up. Data are extracted nightly on patient encounters occurring during the previous 24 hours. Visits or calls with diagnostic codes corresponding to syndromes of interest are counted; repeat encounters are excluded. Daily counts of syndromes by zip code are sent to a central data repository, where they are statistically analyzed for unusual clustering by using a model-adjusted SaTScan approach. The results and raw data are displayed on a restricted website. Patient-level information stays at the originating health-care organization unless required by public health authorities. If a cluster surpasses a threshold of statistical aberration chosen by the corresponding public health department, an electronic alert can be sent to that department. The health department might then call a clinical responder, who has electronic access to records of cases contributing to clusters. The system is flexible, allowing for changes in participating organizations, syndrome definitions, and alert thresholds. It is transparent to clinicians and has been accepted by the health-care organizations that provide the data. The system's data are usable by local and national health agencies. Its software is compatible with commonly used systems and software and is mostly open-source. Ongoing activities include evaluating the system's ability to detect naturally occurring outbreaks and simulated terrorism events, automating and testing alerts and response capability, and evaluating alternative data sources.