Health record management is an important and challenging task. Utilization of technologies in health care, particularly the use of Electronic Health Records (EHR) offers a wide variety of benefits. Better healthcare is provided by EHR by improving all aspects of health care. This paper aims to do an extensive review of existing literature on the issues and expectations concerning consumers and physicians in the development of EHR. In this paper, based on the issues, recommendations are made, and future directions explored.
The paper reports an empirical investigation of the factors affecting consumer perceptions of the adoption of Electronic Health Records in Australia. This paper also details the processes involved in the pilot testing of the instrument where it has been pilot-tested to a convenience sample by sending individual postal survey envelopes to shortlisted community organisations in Australia. Reliability analysis to check the internal consistency was performed using the Cronbach's alpha. Content validity was achieved by reviewing the instrument with a panel of experts. The results of this pilot study proved the feasibility of a full-scale study and these could be used as the basis for refinement of the instrument. Based upon the outcome of validity and reliability testing, items for the final instrument were identified. The findings showed that the tested model does fit the data well and has a significant and positive impact on the consumer's attitude in using the EHR.
Platform trials allow efficient evaluation of multiple interventions for a specific disease. The HEALEY ALS Platform Trial is testing multiple investigational products in parallel and sequentially in persons with amyotrophic lateral sclerosis (ALS) with the goal of rapidly identifying novel treatments to slow disease progression. Platform trials have considerable operational and statistical efficiencies compared with typical randomized controlled trials due to their use of shared infrastructure and shared control data. We describe the statistical approaches required to achieve the objectives of a platform trial in the context of ALS. This includes following regulatory guidance for the disease area of interest and accounting for potential differences in outcomes of participants within the shared control (potentially due to differences in time of randomization, mode of administration, and eligibility criteria). Within the HEALEY ALS Platform Trial, the complex statistical objectives are met using a Bayesian shared parameter analysis of function and survival. This analysis serves to provide a common integrated estimate of treatment benefit, overall slowing in disease progression, as measured by function and survival while accounting for potential differences in the shared control group using Bayesian hierarchical modeling. Clinical trial simulation is used to provide a better understanding of this novel analysis method and complex design. ANN NEUROL 2023
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