Health information exchange: Using metrics to address quality of care and return on investment

Health Information Exchange (HIE) will play a key part in our nation’s effort to improve healthcare. The evidence of HIEs transformational role in healthcare delivery systems is quite limited. The lack of such evidence led us to explore what exists in the healthcare industry that may provide evidence of effectiveness and efficiency of HIEs. The objective of the study was to find out how many fully functional HIEs are using any measurements or metrics to gauge impact of HIE on quality improvement (QI) and on return on investment (ROI).^ A web-based survey was used to determine the number of operational HIEs using metrics for QI and ROI. Our study highlights the fact that only 50 percent of the HIEs who responded use or plan to use metrics. However, 95 percent of the respondents believed HIEs improve quality of care while only 56 percent believed HIE showed positive ROI. Although operational HIEs present numerous opportunities to demonstrate the business model for improving health care quality, evidence to document the impact of HIEs is lacking. ^

A systematic review of organizational workplace wellness programs and their financial and nonfinancial incentives

Workplace wellness programs have revealed immense beneficial results for both the employer and employee. Examples of results include decrease in absenteeism, turnover rate, medical claims and increases in employee satisfaction, productivity, and return on investment. However, the approach taken when implementing requires greater attention since such programs and the financial and/or non-financial incentives chosen have shown to significantly impact employee participation thus the amount of savings the organization experiences. A systematic review was conducted to evaluate the overall effectiveness of workplace wellness programs on employee health status and lifestyle change, recognize the majority types of returns observed by such programs, and identify whether financial or non-financial incentives created a greater effect on the employee. Overall employee health status improvement occurred when participating in wellness programs. The dominant indirect benefit for the organization was employee weight loss leading to a decrease in absenteeism and direct benefits included decreases in medical claims and increases in return on investment. In general, factors such as rate of participation and health status changes were most influenced when a financial incentives was provided in the wellness program. The basis of providing a program with effective incentives resides from efforts made by the employer and their efforts to play a role on every level of the organization regarding planning, implementing, and strategizing the most optimal approach for creating changes for the employees' wellbeing and productivity, thus the organizations overall returns.^

Assessing the impact of electronic health record technology adoption on hospital labor efficiency

Information technology (IT) in the hospital organization is fast becoming a key asset, particularly in light of recent reform legislation in the United States calling for expanding the role of IT in our health care system. Future payment reductions to hospitals included in current health reform are based on expected improvements in hospital operating efficiency. Since over half of hospital expenses are for labor, improved efficiency in use of labor resources can be critical in meeting this challenge. Policy makers have touted the value of IT investments to improve efficiency in response to payment reductions. ^ This study was the first to directly examine the relationship between electronic health record (EHR) technology and staffing efficiency in hospitals. As the hospital has a myriad of outputs for inpatient and outpatient care, efficiency was measured using an industry standard performance metric – full time equivalent employees per adjusted occupied bed (FTE/AOB). Three hypotheses were tested in this study.^ To operationalize EHR technology adoption, we developed three constructs to model adoption, each of which was tested by separate hypotheses. The first hypothesis that a larger number of EHR applications used by a hospital would be associated with greater staffing efficiency (or lower values of FTE/AOB) was not accepted. Association between staffing efficiency and specific EHR applications was the second hypothesis tested and accepted with some applications showing significant impacts on observed values for FTE/AOB. Finally, the hypothesis that the longer an EHR application was used in a hospital would be associated with greater labor efficiency was not accepted as the model showed few statistically significant relationships to FTE/AOB performance. Generally, there does not appear a strong relationship between EHR usage and improved labor efficiency in hospitals.^ While returns on investment from EHR usage may not come from labor efficiencies, they may be better sought using measures of quality, contribution to an efficient and effective local health care system, and improved customer satisfaction through greater patient throughput.^