Abstract
The emergence of evidence-based medicine in the United States has created an industry-wide environment where the quality of data maintained by healthcare organizations is becoming a critical factor in the delivery of medical care. Such a transition necessitates a corresponding need for consistent data collection and maintenance methods. In this study results of a national survey of health information managers were used to assess prevalence of a standard data quality practice, the adoption of policies related to timeliness of data capture. Findings from this survey show that, on a national level, only a slight majority of respondents indicated adoption of timeliness policies. About 61% of respondents indicate they have policies and procedures addressing data timeliness, although persistent patterns of nonadoption were found. We examine how the timeliness of data collection might serve as part of an overall data collection strategy that managers can employ to improve the quality of their information.
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REFERENCES
Lorence, D., Benchmarking quality under USA health care reform: The next generation. Qual. Prog. 27(4):103–107, 1994.
Mendelson, H., and Kraemer, K. L., Clockspeed and information response: Evidence from the information technology industry. Inf. Syst. Res. Dec.:415–433, 1998.
Ballou, D., and Pazer, H., Designing information systems to optimize the accuracy-timeliness tradeoff. Inf. Syst. Res. 6:51–72, 1995.
Fox, C., Levitin, A., and Redman, T. C., The notion of data and its quality dimensions. Inf. Process. Manage. 30:9–19, 1993.
Frates, J., Ginty, M. J., and Baker, L., Optimizing claims payment for successful risk management. Health Finance Manage. 56(5):56–60, 2002.
Ballou, D., Wang, R., Pazer, H., and Tayi, G., Modeling information manufacturing systems to determine information product quality. Manage. Sci. 44:462–484, 1998.
Coats, B., 1–2–3 Guide to Medical Billing, National Association of Claims Processing Professionals, Des Plaines, IL, 2000.
DeJesus, E., Claims processing speeds up. Healthc. Inform., June 2000.
Sakamoto, N., Object-oriented development of a concept learning system for time-centered clinical data. J. Med. Syst. 20(4):183–196, 1996.
Sicotte, C., Denis, J. L., Lehoux, P., and Champagne, F., The computer-based patient record challenges towards timeless and spaceless medical practice. J. Med. Syst. 22(4):237–256, 1998.
Vassilacopoulos, G., and Paraskevopoulou, E. A process model basis for evolving hospital information systems, J. Med. Syst. 21(3):141–153, 1997.
Lorence, D. P., and Spink, A., Regional variation in medical systems data: Influences on upcoding. J. Med. Syst. 26(5):369–381, 2002.
Lorence, D., and Spink, A., Regional Variation in Medical Data Quality Management. Proc. 2002 Inf. Res. Manage. Assoc. Int. Conf. Seattle, WA, 2002.
Lorence, D., National implementation patterns of computer-based patient records, Proc. Natl. Conf. on Health Stat. NCHVS, Washington, DC, Aug 1999.
Sparrow, M., Assessment of existing fraud control systems. In License to Steal, Westview Press, Boulder, CO, 2000.
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Lorence, D. Measuring Disparities in Information Capture Timeliness Across Healthcare Settings: Effects on Data Quality. Journal of Medical Systems 27, 425–433 (2003). https://doi.org/10.1023/A:1025655721518
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DOI: https://doi.org/10.1023/A:1025655721518