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Rushika Fernandopulle

Publications and source records attributed to Rushika Fernandopulle.

7 recordsLinked to original sources

Assessing the level of healthcare information technology adoption in the United States: a snapshot.

BACKGROUND: Comprehensive knowledge about the level of healthcare information technology (HIT) adoption in the United States remains limited. We therefore performed a baseline assessment to address this knowledge gap. METHODS: We segmented HIT into eight major stakeholder groups and identified major functionalities that should ideally exist for each, focusing on applications most likely to improve patient safety, quality of care and organizational efficiency. We then conducted a multi-site qualitative study in Boston and Denver by interviewing key informants from each stakeholder group. Interview transcripts were analyzed to assess the level of adoption and to document the major barriers to further adoption. Findings for Boston and Denver were then presented to an expert panel, which was then asked to estimate the national level of adoption using the modified Delphi approach. We measured adoption level in Boston and Denver was graded on Rogers' technology adoption curve by co-investigators. National estimates from our expert panel were expressed as percentages. RESULTS: Adoption of functionalities with financial benefits far exceeds adoption of those with safety and quality benefits. Despite growing interest to adopt HIT to improve safety and quality, adoption remains limited, especially in the area of ambulatory electronic health records and physician-patient communication. Organizations, particularly physicians' practices, face enormous financial challenges in adopting HIT, and concerns remain about its impact on productivity. CONCLUSION: Adoption of HIT is limited and will likely remain slow unless significant financial resources are made available. Policy changes, such as financial incentivesto clinicians to use HIT or pay-for-performance reimbursement, may help health care providers defray upfront investment costs and initial productivity loss.

Attitude of Health Personnel↗

The costs of a national health information network.

BACKGROUND: The use of information technology may result in a safer and more efficient health care system. However, consensus does not exist about the structure or costs of a national health information network (NHIN). OBJECTIVES: To describe the potential structure and estimate the costs of an NHIN. DESIGN: Cost estimates of an NHIN model developed by an expert panel. SETTING: U.S. health care system. MEASUREMENTS: An expert panel estimated the existing and the expected prevalence in 5 years of critical information technology functionalities. They then developed a model of an achievable NHIN by defining key providers, functionalities, and interoperability functions. By using these data and published cost estimates, the authors determined the cost of achieving this model NHIN in 5 years given the current state of information technology infrastructure. RESULTS: To achieve an NHIN would cost 156 billion dollars in capital investment over 5 years and 48 billion dollars in annual operating costs. Approximately two thirds of the capital costs would be required for acquiring functionalities and one third for interoperability. Ongoing costs would be more evenly divided between functionality and interoperability. If the current trajectory continues, the health care system will spend 24 billion dollars on functionalities over the next 5 years or about one quarter of the cost for functionalities of a model NHIN. LIMITATIONS: Because of a lack of primary data, the authors relied on expert estimates. CONCLUSIONS: While an NHIN will be expensive, 156 billion dollars is equivalent to 2% of annual health care spending for 5 years. Assessments such as this one may assist policymakers in determining the level of investment that the United States should make in an NHIN.

Health Expenditures↗

A research agenda for bridging the 'quality chasm.'.

Realizing the vision of the IOM's landmark report, Crossing the Quality Chasm, will require new knowledge to support new policy and management. This paper lays out a research agenda that must be pursued if the health care system is to bridge the quality chasm. Based on a consensus process involving leading health care researchers and authorities, the paper highlights knowledge gaps and research directions in five areas identified by the Quality Chasm report as critical to its goals of building organizational supports for change; applying evidence to health care delivery; developing information technology; aligning payment policies with quality improvement; and preparing the workforce.

Education, Continuing↗

Paying for quality: providers' incentives for quality improvement.

Paying health care providers to meet quality goals is an idea with widespread appeal, given the common perception that quality of care in the United States remains unacceptably low despite a decade of benchmarking and public reporting. There has been little critical analysis of the design of the current generation of quality incentive programs. In this paper we examine public reports of paying for quality over the past five years and assess each of the identified programs in terms of key design features, including the market share of payers, the structure of the reward system, the amount of revenue at stake, and the targeted domains of health care quality.

Managed Care Programs↗