Journal of Health & Medical Informatics

Background and Objective: Over the last two decades, substantial researches have focused on the factors influencing the success and failure of technology adoption. However, there is little to no research on the optimal time to adopt technology concerning the lag time between its availability and adoption. This paper explores the optimal timing for technology adoption.
Methods: The study involves a qualitative inquiry based on semi-structured interviews conducted with individuals who have worked with or have served as information technology executives, managers or business users in mid-sized and large healthcare industries in the United States.
Results: From these interview results, a comparison was made between the institutions that have successfully adopted technology and those that have not.
Conclusion: Furthermore, this work seeks to understand the technology assimilation effects of individual motivations, organizational readiness, external environmental factors, and the timing of adoption.

Background: Heart failure is a serious medical condition, where the heart is unable to push an adequate amount of blood compared to the amount needed by the body.

Methods: A quasi-experimental design was carried out throughout the present study with application of pre-posttests approach for the study and control groups. A non-probability, purposive sample was selected which consisted of (400) samples, they were divided into two groups, first group of (200) heart failure patients were exposed to the exercise educational program considered as a study group, and second group of (200) patients were not exposed to the exercise educational program and considered as control group. The extent of samples knowledge about the disease was tested at both the pre and post education stages. A structured teaching program for imparting knowledge regarding the benefit of exercise for the health status of heart failure patients was developed by the authors. The results of the study were elicited based on two statistical approaches, first, descriptive statistics and the second is an inferential statistical analysis.

Results: A total of 400 heart failure patients completed a pre and post-test. Respect to subjects of studied sociodemographical characteristics of the samples, it shows that (32%) of the study group were (75-79) years old while (32%) of the control group were at age (70-74) years old, (52.5) of the study group were male while (50%) of the control group were male. The results show that study group main domains along (Pre-Post) periods were highly significant at p<0.05. An improvement in patients ’ knowledge has been shown immediately after program implementation. Moreover, the results show an improvement in patients’ exercises status immediately after the implementation of the educational program.
Conclusion: The implementing an education program about the exercise practice in Erbil city had increased heart failure patients knowledge, in addition, the program improved their exercise status.

This prospective study uses a tablet-based mobile application (digital partograph named DAKSH) to assess the implementation fidelity of partograph use for monitoring labour in primary healthcare settings in Rajasthan, India. As DAKSH does not allow filling of data retrospectively, only real-time information can be used for generating the partograph using this application. Two algorithms were developed to feed each of the data points for seven fetal and maternal parameters into the research instrument. In this study, percentage of data points captured in real-time for fetal heart rate, status of membranes and colour of amniotic fluid, uterine contractions (frequency and duration), maternal pulse, cervical dilatation, maternal blood pressure, and maternal temperature were 29.63%, 35.32%, 29.36%, 29.45%, 55.06%, 42.51%, and 42.71%, respectively. Notably, implementation fidelity was lowest for capturing real-time information pertaining to uterine contractions (frequency and duration), maternal pulse, and FHR. KEYAR, a secondgeneration e-partograph developed by JANITRI Innovations Private Limited, may significantly contribute towards increasing implementation fidelity in terms of continuous real-time intrapartum monitoring of these three parameters.