Optimizing Early Discharge Planning in Oncology: Improving Health Service using Lean Six Sigma Methodologies DOI Open Access

Mashan Mohammed AlGhaithi,

Amal Alkalbani,

Shamsa AlMusharrafi

и другие.

The Open Public Health Journal, Год журнала: 2025, Номер 18(1)

Опубликована: Май 27, 2025

Background Early discharge planning (EDP) in oncology is essential for ensuring continuity of care, reducing prolonged hospital stays, and optimizing resource utilization. Prolonged stays can increase the risk infections, delay access to new admissions, strain healthcare resources. Implementing Lean Six Sigma methodologies significantly improved by workflow inefficiencies, enhancing compliance, The structured use DMAIC process capability analysis led reduced lower bed occupancy, patient transitions, highlighting LSS as a practical framework continuous quality improvement care. Purpose This study aimed improve efficiency, outcomes implementing methodologies. Methods was conducted at Sultan Qaboos Comprehensive Cancer Care Research Center; this pre-and post-intervention applied (Define, Measure, Analyze, Improve, Control) cycle identify inefficiencies implement targeted interventions. Cp (Process Capability Index) Cpk Index Centering) are key indicators used evaluate process's ability meet specified limits. Length stay, compliance rates, occupancy were also analyzed. Qualitative data supplemented findings from staff interviews mapping. Results Post-intervention, mean rate increased 89.54% 68.10% (p-value <0.05). By 68.82%, observations below 80% threshold reduced. Process indices improved, with Pp rising 0.41 0.22 Ppk increasing 0.39 -0.27. As reflected improvements Z.Bench score, Variability -0.80 1.18. experienced noticeable decline 77% September 2024 95% June An overall decrease average length stay (LOS) shown be 6.5 days 2024, compared 9.0 Conclusion efficiency compliance. significant reduction LOS reflects success improving safety, utilization, leading better underscore potential optimize workflows foster culture healthcare.

Язык: Английский

Blockchain Technologies for Decentralized Medical Records DOI

R. Gayathri,

C. Bhuvaneshwari

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 31 - 58

Опубликована: Апрель 30, 2025

Blockchain technology is revolutionizing healthcare through decentralization, security, and interoperability. As compared with traditional centrally stored databases, blockchain enables patients to have full control over their information secure efficient electronic health record (EHR) exchanges. Sensitive medical secured use cryptographic keys, minimizing cybersecurity risks its use. Administrative processes such as consent claims processing via smart contracts make less costly. In pharmacy, drugs can be validated blockchain, effectively eradicating counterfeit drugs. Transparency in the supply chain also increased, inefficiencies resolved Regulatory barriers, however, not yet been addressed, but a patient-first model for care facilitated increased efficiency, transparency management, creating more networked environment.

Язык: Английский

Процитировано

0

Urgent surgical patient classification: Development and validation of a novel instrument using the Delphi approach DOI Creative Commons
Priscila Buck de Oliveira Ruiz, Jaqueline Lopes Gouveia, Paula Buck de Oliveira Ruiz

и другие.

Journal of Education and Health Promotion, Год журнала: 2025, Номер 14(1)

Опубликована: Апрель 1, 2025

The lack of a triage system for urgent surgical patients leads to non-standardized decision-making. Developing an instrument objectively identify the complexity care required each case is challenging. aim this report develop and validate patient classification using Delphi technique. study was conducted in several stages: (1) definition construct; (2) item elaboration; (3) expert analysis; (4) selection; (5) pretest. In first study, scale items were designed content validity confirmed. second factorial structure analyzed. third alternative measurement models tested. fourth criterion Experts validated 14 (31.81%) from Domain 1 with 75% agreement specific 2 100% agreement. Factor analysis indicated two-factor solution explaining 58.4% variance. bifactor model presented best fit (χ2/df = 1.51; CFI 0.95; TLI 0.94; RMSEA 0.051; SRMR 0.043). Factors showed excellent internal consistency (α > 0.88; CR 0.90; ω 0.92). This pioneering developed classifying regarding their priority care. deemed valid terms content, based on consensus. Further studies are recommended evaluate its practical application perform additional psychometric measures. has potential enhance organization emergency services operating theaters, promoting safety efficient resource management healthcare institutions. Its implementation should align current health guidelines policies optimize prioritization process patients.

Язык: Английский

Процитировано

0

Digital health technologies in Kurdistan region of Iraq: a narrative review of enhancing healthcare accessibility and quality DOI Creative Commons
Zhinya Kawa Othman, Shuaibu Saidu Musa, Mohamed Mustaf Ahmed

и другие.

Deleted Journal, Год журнала: 2025, Номер 22(1)

Опубликована: Май 6, 2025

Abstract Digital health refers to the use of information and communication technologies increase healthcare’s efficiency accessibility. Healthcare systems are increasingly recognizing need integrate modern optimize patient outcomes. However, promising innovations integration into national strategies face challenges, especially in low- middle-income regions, including Kurdistan. This review describes several digital Kurdistan, software implementation for data management, such as District Health Information Software 2, establishment telemedicine services, utilization machine learning algorithms mortality prediction, particularly during COVID-19 pandemic. Despite numerous advantages technologies, challenges remain their widespread adoption, lack a comprehensive regulatory legal framework free adoption technical issues with satisfaction. Our key recommendations development robust infrastructure innovations, enhancement healthcare professionals’ literacy through targeted training programs, services remote rural areas. In conclusion, learning, telemedicine, electronic records, have assisted accessibility quality underserved areas, by providing immediate access facilitating decision-making clinical decision support tools, consultations, cost-efficient .

Язык: Английский

Процитировано

0

Impact of Electronic Health Services on Patient Satisfaction in Primary Care: A Systematic Review DOI Open Access

Tagried Hamdan AbouMoussa,

Amna Hassan,

Eman Ali Almarzooqi

и другие.

Cureus, Год журнала: 2025, Номер unknown

Опубликована: Май 12, 2025

Язык: Английский

Процитировано

0

Optimizing Early Discharge Planning in Oncology: Improving Health Service using Lean Six Sigma Methodologies DOI Open Access

Mashan Mohammed AlGhaithi,

Amal Alkalbani,

Shamsa AlMusharrafi

и другие.

The Open Public Health Journal, Год журнала: 2025, Номер 18(1)

Опубликована: Май 27, 2025

Background Early discharge planning (EDP) in oncology is essential for ensuring continuity of care, reducing prolonged hospital stays, and optimizing resource utilization. Prolonged stays can increase the risk infections, delay access to new admissions, strain healthcare resources. Implementing Lean Six Sigma methodologies significantly improved by workflow inefficiencies, enhancing compliance, The structured use DMAIC process capability analysis led reduced lower bed occupancy, patient transitions, highlighting LSS as a practical framework continuous quality improvement care. Purpose This study aimed improve efficiency, outcomes implementing methodologies. Methods was conducted at Sultan Qaboos Comprehensive Cancer Care Research Center; this pre-and post-intervention applied (Define, Measure, Analyze, Improve, Control) cycle identify inefficiencies implement targeted interventions. Cp (Process Capability Index) Cpk Index Centering) are key indicators used evaluate process's ability meet specified limits. Length stay, compliance rates, occupancy were also analyzed. Qualitative data supplemented findings from staff interviews mapping. Results Post-intervention, mean rate increased 89.54% 68.10% (p-value <0.05). By 68.82%, observations below 80% threshold reduced. Process indices improved, with Pp rising 0.41 0.22 Ppk increasing 0.39 -0.27. As reflected improvements Z.Bench score, Variability -0.80 1.18. experienced noticeable decline 77% September 2024 95% June An overall decrease average length stay (LOS) shown be 6.5 days 2024, compared 9.0 Conclusion efficiency compliance. significant reduction LOS reflects success improving safety, utilization, leading better underscore potential optimize workflows foster culture healthcare.

Язык: Английский

Процитировано

0