Information technology capacities assessment tool in hospitals: Instrument development and validation

Assessing the use of Radio Frequency Identification technologies as an alternative for insurance costs in hospitals

OBJECTIVES

This research assesses the use of Radio Frequency Identification (RFID) technologies as an alternative for insurance costs in hospitals.

METHODS

Despite the advantages of RFID, this technology has not been applied in most hospitals due to implementation costs and amortization of RFID. In this paper, we intend to model the total profit of hospitals in three scenarios namely, application of RFID technology in the hospital, without applying RFID technology in the hospital and insuring patients and equipment in the hospital.

RESULTS

We analyzed the aforementioned situations over a period of time to find out how they affect the profit of the hospital. Based on this analysis we concluded that if applying RFID technology is costly, it will be feasible for advanced hospitals with more beds. In the scenario of insuring patients and equipment, if insurance organization takes over a small portion of the cost of the mistakes and oversights, insuring patients and equipment will not be feasible for the hospital, and it is better to apply RFID technology Instead.

CONCLUSIONS

RFID is among the technologies applied to reduce mistakes of the personnel in hospitals. Moreover, applying this technology has led to a decrease in the number of personnel required in hospitals. This study models total profit of hospitals in three aforementioned scenarios. Based on analyzing these models we conclude that if applying RFID technology is costly, it will be feasible for advanced hospitals with more beds.

Hospital IT Sophistication Profiles and Patient Safety Outcomes

Information technology (IT) sophistication of acute care hospitals in Texas was measured to explore the relationships between IT infrastructure and patient outcomes using Donabedian’s framework. The sample was acute care hospitals (n=175) with an IT profile using HIMSS, demographic and operations data. Three dimensions of hospital IT sophistication were measured and related to patient care outcomes using the AHRQ Patient Safety Indicators (PSI). Significant relationships (p < 0.05) using linear regression were found between hospital IT sophistication and three PSI measures. A review of similar studies during the same time period in Iowa, Georgia, and Florida compares findings from two instruments used to profile hospital IT infrastructure. This study adds to and confirms findings of positive relationships between IT sophistication of hospitals and patient care outcomes using the AHRQ safety indicators. Discussion of the conceptual model and the IT sophistication construct provides a theoretical framework for this line of research.