Benefits of updating healthcare technology
Benefits of updating healthcare technology - write a online dating profile
While substantial resources were devoted to this technology in the American Recovery and Reinvestment Act of 2009, it will take time to develop the infrastructure necessary to fully implement and support Health IT (Blumenthal, 2009).
There is little reliable evidence, though, on the adoption rates of EHRs (Jha et al., 2009).Health care involves a diverse set of public and private data collection systems, including health surveys, administrative enrollment and billing records, and medical records, used by various entities, including hospitals, CHCs, physicians, and health plans.Data on race, ethnicity, and language are collected, to some extent, by all these entities, suggesting the potential of each to contribute information on patients or enrollees.To identify the next steps toward improving data collection, it is helpful to understand these opportunities and challenges in the context of current practices.In some instances, the opportunities and challenges are unique to each type of organization; in others, they are common to all organizations and include: Previous chapters have provided a framework for eliciting, categorizing, and coding data on race, ethnicity, and language need.Thus there is a need for better integration and sharing of race, ethnicity, and language data within and across health care entities and even (in the absence of suitable information technology [IT] processes) within a single entity.
It should be noted that a substantial fraction of the U. population does not have a regular relationship with a provider who integrates their care (i.e., a medical home) (Beal et al., 2007).
Until data are better integrated across entities, some redundancy will remain in the collection of race, ethnicity, and language data from patients and enrollees, and equivalently stratified data will remain unavailable for comparison purposes unless entities adopt a nationally standardized approach.
Methods should be considered for incorporating these data into currently operational data flows, with careful attention to concerns regarding efficiency and patient privacy.
Explicitly expressing the rationale for the data collection and training staff, organizational leadership, and the public to appreciate the need to use valid collection mechanisms may improve the situation.
Nevertheless, some entities face health information technology (Health IT) constraints and internal resistance.
No one of the entities in Figure 5-1 has the capability by itself to gather data on race, ethnicity, and language for the entire population of patients, nor does any single entity currently collect all health data on individual patients.