Care
bgwlsgabzee76
SWOT_POWERPOINT_.pptxWe Care Hospital Health information technology (HIT) SWOT Analysis
S.W.O.T. Analysis
Executive Summary
Health information technology (HIT) is regularly applied in healthcare systems.
Computerized programs are used in HIT to enhance health data administration and secure exchange of medical information among relevant stakeholders.
HIT is a crucial instrument which can be implemented to improve the well-being of patients and medical practice (Vimalachandran et al., 2016).
Health information technicians effectively organize and manage medical data with the support of HIT.
Thesis Statement
As the Chief Operating Officer (COO) at We Care Hospital, I have been given the task to conduct a SWOT analysis of HIT in this healthcare facility.
As the COO, I have a responsibility to manage the facility administration and oversee the hospital.
The SWOT analysis in this presentation includes the strengths weaknesses, opportunities and threats of HIT at We Care Hospital.
SWOT Analysis: Strengths
Unmatched reliability of recovery and security.
Prevents theft and loss of medical data.
HIT reduces investment costs and helps to save time.
Prevents waste factors associated with distinct backup systems for the medical facility.
Initial low cost through the implementation of existing infrastructure.
Safety of medical records in application of HIT that helps to avoid manipulation of medical data.
The healthcare facility can effectively manage and integrate the backup systems.
Weaknesses
Initial high cost due to lack of infrastructure.
High maintenance cost for hiring technicians and provision of backup for big medical data and information.
Risks of loss of portable media.
HIT is not reliable in terms of information recovery.
It is labor intensive, requires highly qualified technicians to operate the security system.
High chances for the information being employed for the facility’s benefit.
Opportunities
Effecting medical insurance charge with full implementation of HIT.
Medical informatics system.
Effective partnerships with government agencies (Christiansen v. Wright Medical Technology Inc., 2017).
The ability to influence HIT public policy and market forces.
The ability to enhance development of standard-centered electronic health records and personal health records programs (Lee et al., 2018).
Threats
Initial cost burden.
Threat of management of information in other integrated medical facilities.
Legal requirements.
Confidentiality risk due to disclosed medical data to public and private organization (Keshta & Odeh, 2020).
Increasing costs affecting application of health information technology globally.
Justification
Three major and interrelated models are normally applied interchangeably in deliberating medical data protection in the U.S healthcare sector.
They include privacy, confidentiality and security.
HIT is crucial in improving security, privacy and confidentiality of medical information.
In relation to confidentiality, efficient psychotherapy is based on the element of trust and confidence in which the patient willingly makes a complete and honest disclosure.
As ruled in Trammel v. United States case, confidential communications between the spouses were privileged and therefore inadmissible.
Regarding the concept of privacy, the privilege of doctor-patient that requires provision of protection of medical information not invading zone of privacy (Griswold v. Connecticut, 1965).
Conclusion
The SWOT analysis discusses the strengths, weaknesses, opportunities and threats of HIT at We Care hospital.
We Care Hospital should fully implement HIT since its strengths and opportunities are more solid than threats and weaknesses.
AS the COO of the hospital, It is my duty to promote the full adoption and implementation of HIT.
References
Christiansen v. Wright Medical Technology Inc., 16-12162 (US Court of Appeals for the Eleventh Circuit. March 20, 2017).
Griswold v. Connecticut, 381 U.S. 479 (United States Supreme Court 1965).
Keshta, I., & Odeh, A. (2020). Security and privacy of electronic health records: Concerns and challenges. Egyptian Informatics Journal. https://doi.org/10.1016/j.eij.2020.07.003
Lee, S., Kwon, J., Kim, E., & Park, J. (2018). Implementation of Integrated Electronic Health Record and Mobile Personal Health Record Datasets for Improving Healthcare Services. Sensors And Materials, 30(8), 1885. https://doi.org/10.18494/sam.2018.1896
Trammel v. United States, 445 U.S. 40 (United States Supreme Court 1980).
Vimalachandran, P., Wang, H., Zhang, Y., Heyward, B., & Whittaker, F. (2016). Ensuring data integrity in electronic health records: a quality health care implication. In 2016 International Conference on Orange Technologies (ICOT) (pp. 20-27). IEEE.
