Developing an Informatics Tool To Advance Supportive Care: The Veterans Health Care Administration Palliative Care National Clinical Template

BACKGROUND: Increasing emphasis in performance-based payment, public reporting, and quality improvement (QI) has led to widespread interest in measuring and improving the quality of care. By 2014, hospice programs will be required to report quality data to the federal government or incur financial penalties. With this increased interest in quality reporting comes an opportunity to develop informatics tools to capture data that reflect the complex practices involved in palliative care (PC). Therefore, there is a need to disseminate information on developing tools that facilitate capturing data and fostering improved performance. The Veterans Health Care Administration, a national leader in health information technology (HIT) and PC, established the Quality Improvement Resource Center (QuIRC) to develop innovative HIT tools to standardize and improve PC practices throughout the 153 Department of Veterans Affairs (VA) medical centers nationwide. OBJECTIVE: The aim of the paper is to describe the development of the Palliative Care-National Clinical Template (PC-NCT) for documenting initial PC consults. RESULTS: Domains of quality of life provided the foundation for this template. Principles of user-centered informatics design guided development activities. A national consensus panel of PC experts prioritized quality indicators as targets for QI. An interdisciplinary team of PC providers identified desired aspects of template functionality. QuIRC balanced PC providers' desired aspects of functionality against the feasibility within the VA HIT system. Formal pilot and usability testing contributed to numerous iterations of the PC-NCT currently piloted in five geographically distributed sites. CONCLUSION: This paper presents a robust approach to developing an informatics tool for PC practice. Data collected via the PC-NCT will bring variations in current practice into view and assist in directing resources at "important targets" for QI. Although the development of HIT tools to quantify PC practice is complex, there is enormous potential to improve the quality of care for patients and families facing serious illnesses

The Impact of eHealth on the Quality and Safety of Health Care: A Systematic Overview

Aziz Sheikh and colleagues report the findings of their systematic overview that assessed the impact of eHealth solutions on the quality and safety of health care

Taxonomy of delays in the implementation of hospital computerized physician order entry and clinical decision support systems for prescribing:a longitudinal qualitative study

BACKGROUND: Implementation delays are common in health information technology (HIT) projects. In this paper, we sought to explore the reasons for delays in implementing major hospital-based HIT, through studying computerized physician order entry (CPOE) and clinical decision support (CDS) systems for prescribing and to develop a provisional taxonomy of causes of implementation delays. METHODS: We undertook a series of longitudinal, qualitative case studies to investigate the implementation and adoption of CPOE and CDS systems for prescribing in hospitals in the U.K. We used a combination of semi-structured interviews from six case study sites and two whole day expert roundtable discussions to collect data. Interviews were carried out with users, implementers and suppliers of CPOE/CDS systems. We used thematic analysis to examine the results, drawing on perspectives surrounding the biography of artefacts. RESULTS: We identified 15 major factors contributing to delays in implementation of CPOE and CDS systems. These were then categorized in a two-by-two delay classification matrix: one axis distinguishing tactical versus unintended causes of delay, and the second axis illustrating internal i.e., (the adopting hospital) versus external (i.e., suppliers, other hospitals, policymakers) related causes. CONCLUSIONS: Our taxonomy of delays in HIT implementation should enable system developers, implementers and policymakers to better plan and manage future implementations. More detailed planning at the outset, considering long-term strategies, sustained user engagement, and phased implementation approaches appeared to reduce the risks of delays. It should however be noted that whilst some delays are likely to be preventable, other delays cannot be easily avoided and taking steps to minimize these may negatively affect the longer-term use of the system