HOW TO EVALUATE THE EFFICIENT HEALTHCARE DELIVERY SYSTEM IN A TERTIARY CARE HOSPITAL WITH REFERENCE TO SURGICAL

Abstract

Objectives; In an effort to comprehensively evaluate the efficiency of healthcare delivery at Idrees Hospital in Sialkot Cantt.

Methodology; we used, case selection, qualitative interview, time matrix, patient demography and quantitative assessment in our methodology of the staff and patients of Idrees Hospital, Sialkot.

In a 150-bed tertiary care hospital, we observed 90 cases. The final dataset included information from 28 people in 50 distinct cases. The sample included 3 surgical assistants, 10 other health aid observers, 10 (18.37%) nurses, 2 (18.37%) anesthetists, and 3 (44.3%) surgeons.

Results; Results from the quantitative data showed that in 88.8% of patients mode of admission was mentioned correctly, in 90% of patients' diagnosis were properly mentioned. While in 98.889% of the patients' daily progress notes were present.  However, in 88% percent of the patients’ arrival notes were written and in 96% informed consent was taken.

Conclusion

The mode of admission, proper informed consent, daily progress notes and the overall improvement in these aspects positively impacts patient outcomes and satisfaction.

Keywords; Healthcare Efficiency, Temporal Dynamics, Patient Journey, Case Selection, Qualitative Interviews, Quantitative Analysis, Patient Privacy, Informed Consent, Communication Strategies, Patient Outcomes, Hospital Management, Healthcare Quality, Medical Ethics.

Cite this Article as: Aleem S., Adeel M., Zahid N., Shahzad M., Pervaiz R., Naveed A., How To Evaluate The Efficient Healthcare Delivery System In A Tertiary Care Hospital With Reference To Surgical Department; SIAL J Med. Sci. Sept-2024 V-3 (Issue-09):19-24

Author contribution:

SA; conceptualization of project, data collection, literature search, writing manuscript, statistical analysis, drafting, revision and final approval.

MA; writing manuscript, statistical analysis, drafting, revision

NZ; literature search, writing manuscript, statistical analysis and

MS; statistical analysis, drafting, revision

RP; statistical analysis, drafting, revision

AN; literature review, writing manuscript