This is a case study of the evidence-based management practices of a centralized health information management department in a large integrated healthcare delivery system. The case study used interviews and focus groups, as well as de-identified dashboards, to explore the impact of reporting on the organization.
As health information management (HIM) shifts from paper-based medical records to electronic medical documentation, HIM professionals must appropriately manage their resources to produce higher results for their organization’s operational and financial indicators. This case study highlights the experience of the HIM department in a small Florida community hospital in analyzing existing productivity standards and developing new standards with the purpose of improving the document imaging process.
Health information technology (health IT) can support timely communication and information sharing for patient navigators and the providers with whom they interact to better coordinate care. We explored the health IT that patient navigators used, how they used it, and their health IT needs in community-based interventions.
Because user acceptance and resistance to the use of health information technology (HIT) affects system utilization and previous studies in this area have typically excluded pharmacists, this study specifically addresses the response of institutional pharmacists to HIT.
The time and costs associated with the sequencing of a human genome have decreased significantly in recent years. Many people have chosen to have their genomes sequenced to receive genomics-based personalized healthcare services. To reach the goal of genomics-based precision medicine, health information management (HIM) professionals need to manage and analyze patients’ genomic data.
Coronary catheterization is the gold standard for diagnosis and treatment of cardiovascular conditions. The development of a catheterization and percutaneous coronary intervention (CathPCI) registry considering key steps of data management has a pivotal role in coronary catheterization because it could help improve CathPCI approaches, develop equipment and devices, and minimize complications of the CathPCI procedure. Data management comprises data gathering, data processing, and information distribution.
Research shows that exposure to community and domestic violence leads to psychological trauma from childhood through adulthood, which can lead to poor health and early death. A team of health information management (HIM) professionals reviewed existing surveys to determine their suitability for assessing the quality of life (QoL) of people in trauma-affected communities (TACs). Keywords were used to search for papers describing validated QoL surveys. The obtained papers were screened, reviewed, and summarized to determine if they include the aspects needed for assessing QoL in TACs.
Emergency care is usually conducted within limited time and with limited resources. During emergency care processes, data quality issues should be taken into account. The aim of this study was to assess the quality of emergency care data from the perspectives of different data stakeholders. This survey study was conducted in 2017. In this research, the viewpoints of three groups of data stakeholders, including data producers, data collectors, and data consumers, were collected regarding data quality in emergency care services. Data were collected by using a standard information quality assessment questionnaire.
In this study, we developed and tested a health insurance literacy model. Using a previously validated health insurance literacy measure, we crafted a predictive model and tested the effects of its constructs among young consumers. Data were collected using an online survey of college students at a major public university in the southern United States.
Health information exchange (HIE) involves sharing information across organizations. Effective HIE gives providers across organizations a comprehensive view of the patient that can improve the accuracy of health information to support clinical care. We sought to understand how grantees funded by the Centers for Medicare and Medicaid Services Health Care Innovation Awards used HIE for community resource planning.
Computable phenotypes (CPs) are an increasingly important structured and reproducible method of using electronic health record data to classify people. CPs have the potential to provide important benefits to health information management (HIM) professionals in their everyday work. A CP is a precise algorithm, including inclusion and exclusion criteria, that can be used to identify a cohort of patients with a specific set of observable and measurable traits. With the use of CPs, a series of technical steps can be taken to automatically identify people with specific traits, such as people with a particular disease or condition.
My father died in the critical care unit as a result of blood clots in his lungs after residents reintubated him when he had a panic attack in the middle of the night. The information that he had a low platelet count as a side effect of a cancer drug he was taking as part of a clinical trial had fallen through the cracks every time new clinicians came into his room. Although I had reminded them of this information daily to ensure that he received regular infusions as prescribed by his oncologist, the clinicians on the night shift did not consider this information.
