Identification of Minimum Data Set of Neonatal Prematurity  Information Management System for Iran

Safdari, Reza; Danaee, Navid; Kahouei, Mehdi; Mirmohammadkhani, Majid; Pahlevanynejad, Shahrbanoo

doi:10.18502/ijph.v52i1.11687

Cited by 1 publication

(2 citation statements)

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“…Timely and accurate information is vital for effective treatment processes, making the quality of available information essential for healthcare decision-making (Patak et al, 2009). By adopting a standardised MDS, data collection becomes more efficient, enabling better comprehension and comparison of information (Safdari et al, 2014). To enhance healthcare quality, it is crucial to establish suitable methods for data collection, focusing on measuring healthcare system effectiveness and efficiency.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, proper documentation of patient health records is a significant legal obligation in healthcare. Adequate reporting facilitates the exchange of patient information among all members of the treatment team, ensuring that necessary care is provided to the patient (Safdari et al, 2014). The Health Information Management (HIM) Committee, operating at the national level, plays a pivotal role in making decisions based on Minimum Data Set (MDS) for data collection and reporting.…”

Section: Introductionmentioning

confidence: 99%

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Designing a comprehensive minimum dataset for patients with COVID-19 in Iranian hospital information systems

Salmani,

Sharafi,

Almanie

et al. 2023

HIM J

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Background: The Minimum Data Set (MDS) plays a vital role in data exchange, collection and quality improvement. In the context of the COVID-19 pandemic, there is a need for a tailored MDS that aligns with the specific information needs of the Iranian community and integrates seamlessly into the country’s Hospital Information Systems (HIS). Objective: The study aimed to develop a comprehensive MDS for COVID-19 patients in Iran, with objectives to identify essential data elements and integrate the MDS into HIS, enhancing data exchange and supporting decision-making. Method: This study employed a comparative-descriptive approach to design COVID-19 patient data elements based on World Health Organisation and Centers for Disease Control and Prevention guidelines. The Delphi technique involved 35 experts in two rounds for checklist refinement. The finalised MDS consisted of 9 main terms and 80 sub-terms, analysed using descriptive statistics and IBM SPSS software. Results: Of 35 experts involved with the study, 69% were male and 31% female, and Health Information Management experts were the majority (34%). The refined MDS for COVID-19 in Iran comprises 50 data elements, while 30 elements were excluded. The MDS includes 8 main terms and 80 sub-terms, with unanimous approval for identity, underlying disease, and treatment sections. Conclusion: The customised MDS for COVID-19 patients in Iran addresses data collection challenges and supports effective disease prevention and management. By providing comprehensive and reliable information, the MDS enhances healthcare quality, facilitates timely access to medical records, and fosters integrated health services.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%