What is Consumer Health Informatics?

What is Consumer Health Informatics?

Consumer health informatics is an integral part of health informatics that serves to promote stellar healthcare standards. CHI plays a critical role in addressing the needs of health consumers and medical practitioners. However, most medical practitioners are yet to enjoy the benefits of CHI due to lack of uniformity with regards to the definition of the term CHI. As a new field in the healthcare sector, most trainers are unable to develop core competencies and guidelines required for the training of CHI professionals.

Objective

To carry out a systematic review of published definitions of CHI and evaluating the different definitions using five quality assessment criteria and measures of similarity (Flaherty et al., 2015).

Author’s main points

The author views CHI as an electronic system that functions effectively to solve a wide range of healthcare problems. One of the most remarkable examples of CHI is the Comprehensive Health Enhancement Support System (CHESS) which functions as a computer-based system of integrated services used to help solve health problems (Flaherty et al., 2015). In spite of the tremendous achievements, there exists no standard definition of the term CHI. This has made it daunting for the healthcare department to develop core competencies and uniform guidelines for the training of CHI professionals.

Strengths and weaknesses conclusion

The article clearly states the importance of having a standard definition of the term CHI. The author further provides a clear description and importance of two terms namely; medical informatics and public health informatics.

Importance

With the advent of different technologies, consumer health informatics has become a vital aspect of improving the current state of the healthcare system. Consumer health informatics is an essential electronic system tailored to improve the process of diagnosis and outcomes for a wide array of diseases and medical problems. Having a standard definition of the term CHI will certainly improve training and functioning of CHI in health institutions. This would enhance the proper development of core competencies and guidelines used by trainers who seek to train CHI practitioners.

Evaluation of the methodology

The methodology used entailed the process of database search to find the different definitions of CHI as recorded in Pub Med, Web of Science, and EBSCO (Flaherty et al., 2015). This was later followed by the process of choosing relevant peer-reviewed articles that entailed the definition of CHI. The elaborated methodologies are comprehensive and clear on attaining the objective of finding definitions with the highest similarity index.

Personal conclusion

Today’s digital era has brought about a myriad of developments in the healthcare sector. CHI is one of the healthcare advancements that have brought about significant positive change in the healthcare sector.

The Health Informatics Cohort Enhancement Project

Objective

Health informatics plays a critical role in improving healthcare delivery standards. The objective of this article is to describe how health informatics may be utilized to identify patients with psychotic disorder. The article also seeks to discuss the merits and demerits of using primary care records in identifying patients with psychotic disorders. The article also seeks to formulate and examine an algorithm used to search electronic databases of routinely collected primary care clinical data (Economou et al., 2012).

Author’s main points

Healthcare electronic databases are regarded as fundamental tools that assist medical practitioners to provide patients with proper diagnosis and effective treatments. According to the author, routinely collected, digitally stored clinical data from primary care can be used to identify patients with psychotic disorders (Economou et al., 2012).

Strengths and weaknesses

The article provided a clear description of how they were going to keep patients’ electronic database information confidential. To identify patients with psychotic disorders, the article discussed the 90 items used as the standard measure for classifying psychotic diseases. The diagnosis was thereby entirely dependent on the primary-care information recorded in the electronic database. However, the article fails to give the demerits of using the OPCRIT software in identifying patients with psychotic disorders (Economou et al., 2012).

Importance

From this article, health informatics played an integral role that allowed the medical practitioners to diagnose and identify victims suffering from psychotic disorders. This is a milestone in the healthcare department as medical practitioners can now utilize digitally recorded patients’ medical information to identify victims suffering from mental disorders. Thus, the medical practitioners are able to perform early diagnosis and treatment of disease before they worsen.

Evaluation of the methodology

The method used to select the participants was by random selection. This allowed the medical practitioners to assess diverse patients from different parts of the state. The 90 criteria used also provided a broad criterion for identifying participants who were positive for psychotic disorders.

Personal conclusion

The electronic database serves as a good source of reference for doctors to make the right diagnosis. In addition, medical practitioners are today able to utilize algorithm and the recorded patient’s information to diagnose a wide range of diseases and provide the most effective treatments. Indeed, health informatics continues to play a paramount role in positively transforming the world’s healthcare standards.

 

References

Flaherty, D., Hoffman-Goetz, L., & Arocha, J. F. (2015). What is consumer health informatics? A systematic review of published definitions. Informatics for Health and Social Care, 40(2), 91-112.

Economou, A., Grey, M., McGregor, J., Craddock, N., Lyons, R. A., Owen, M. J., … & Lloyd, K. (2012). The health informatics cohort enhancement project (HICE): using routinely collected primary care data to identify people with a lifetime diagnosis of psychotic disorder. BMC research notes, 5(1), 95.