VISION

VISION DOCUMENT

Overview

My Health Record is an online summary of health information that allows the individuals including doctors, hospitals and other healthcare providers access the health information to make better health reforms. It is prepared based on the existing records of people and designed to be integrated into existing local clinical systems. This report provides problem, capabilities and benefits of ‘My Health Record’ to develop a vision document.

Problem

It is required for the clinicians and health care providers to have high quality data to make evidence based decisions to ensure better health of people. Without the valuable information about the patient’s history and health data, it is not possible for the health care providers to design effective health regimes (Gellert et al., 2015).

Many people of Australia are not getting the equal health care services that are creating health issues for the population which is not getting better health care services. In Australia, the government is also oriented to implement integrated computer-based national healthcare infrastructures to improve the health of the Australian people.

However, in the adoption of this system, there may be some technical, financial, resources, security and ethical matters and doubts on clinical usefulness (Miotto et al., 2016). The major resource required for any project is funding that is necessary to fulfill all the financial obligations and conduct the related activities. In this project, funding has been approved by the government authorities.

Capabilities

Majorly, three essential capabilities of ‘My Health Record’ are as follows:

  • To collect data at the point of care
  • To integrate the data from different sources internally and externally
  • To support the health care provider in making informed health care decisions

Apart from these essential capabilities, this system should have the eight core capabilities:

  • Order management: The capacity to enter and store orders for prescriptions, tests, and different administrations in a PC based framework should upgrade intelligibility, diminish duplication, and reduce time for executing the orders (Frazier, 2017).
  • Decision making: This system will be capable of improving compliance with best clinical practices that will be significant to ensure usual examinations and other preventive practices, determine drug interactions and improve the diagnoses and treatments (Miotto et al., 2016).
  • Better results: The capacity for health care providers taking an interest in the patient care in different settings to rapidly get to new and past test outcomes would expand patient wellbeing and the adequacy of care (Wasserman, 2016).
  • Data management: Fast access to scratch data like patients’ findings, sensitivities, diagnostic test results, and medicines will enhance health care providers’ capacity to settle on sound clinical choices timely (Gellert et al., 2015).
  • Communication and networking: It will facilitate the communication among the health care providers and patients that will improve the regularity and quality of care and enhance the promptness of diagnosis and treatments and minimize the possibilities of adverse events (Beasley & Sinsky, 2014).
  • Support the patient: This system will be capable of providing the patients with their health records and interactive patient education. It will be significant in carrying out home monitoring. Self-testing can be helpful in improving control of chronic diseases.
  • Better administration: Such system will be capable of improving the efficiency and effectiveness of hospitals and clinics and enabling them to provide more timely service to the patients (Hoerbst & Ammenwerth, 2010).
  • Reporting: This system will be capable of fulfilling reporting requirements to the government and facilitate the patient safety and diseases surveillance.

Benefits

VISION

With the help of this, it is possible for physicians, clinic practices, and health care organizations to enhance the quality of patient care and patient safety. It is quite beneficial for the health industry to make effective reforms into the health care system to improve the quality of patient care and reduce the issues related to lack of required patients’ information.

This system can be beneficial to address the escalating costs of healthcare (Australian Digital Health Agency, 2018). On the other hand, the adoption of this system is significant to enhance quality, safety and efficiency of health care services and reduce health disparities.

It also allows the health providers to adopt high quality standards to improve health outcomes. It is also beneficial for he patients to get the medical services at low cost as it will result in cost efficiencies for the payers due to administrative and clinical process improvements.

It also allows the health care providers and patients to communicate each other and make informed health care decisions at the point of care (Hoerbst & Ammenwerth, 2010). It will be significant to improve effectiveness, quality, access and cost of care.

Conclusion

Based on the above discussion it can be concluded that My Health Record is an effective reform that will be crucial for improving the health of people in Australia. It will help to collect the required health data about people and enable the health care providers to design better health regimes to improve the health of people.

References

Australian Digital Health Agency. (2018) Features of the My Health Record system. Retrieved from: https://www.digitalhealth.gov.au/get-started-with-digital-health/what-is-digital-health/features-of-the-my-health-record-system

Beasley, J. W., & Sinsky, C. A. (2014). Electronic health records. Annals of internal medicine161(9), 680.

Frazier, K. (2017). Electronic Health Records. AJN The American Journal of Nursing117(6), 10.

Gellert, G. A., Ramirez, R., & Webster, S. L. (2015). The rise of the medical scribe industry: implications for the advancement of electronic health records. Jama313(13), 1315-1316.

Hoerbst, A., & Ammenwerth, E. (2010). Electronic health records. Methods of Information in Medicine49(04), 320-336.

Miotto, R., Li, L., Kidd, B. A., & Dudley, J. T. (2016). Deep patient: an unsupervised representation to predict the future of patients from the electronic health records. Scientific reports6, 26094.

Wasserman, M. (2016). Electronic Health Records. In The Business of Geriatrics (pp. 159-163). Springer, Cham.

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