Mirou Jaana
Biographic Data
| ID | 6732414 |
|---|---|
| NAME | Mirou Jaana |
| GIVEN NAMES | Mirou |
| FAMILY NAME | Jaana |
| SIGNATURE | JAANA M |
| AFFILIATIONS | American University of Beirut |
| ORCID | 0000-0002-9795-6281 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Factors that affect health information technology adoption by seniors
Emrs and Clinical Is Implementation in Hospitals
Purpose: Present an overview of clinical information systems (IS) in hospitals and analyze the level of electronic medical records (EMR) implementation in relation to clinical IS capabilities and organizational characteristics. Methods: We developed a survey instrument measuring clinical IS implementation and classified clinical IS across 5 EMR levels. The survey was administered to hospitals in a state with a large number of rural hospitals (84%…
What Would Be the Effect of Referral to High‐Volume Hospitals in a Largely Rural State
Context: Volume of certain surgical procedures has been linked to patient outcomes. The Leapfrog Group and others have recommended evidence‐based referral using specific volume thresholds for nonemergent cases. The literature is limited on the effect of such referral on hospitals, especially in rural areas. Purpose: To examine the impact of evidence‐based referral by volume standard for 5 hospital procedures (abdominal aortic artery repair, coron…
Intensive Care Unit Utilization and Interhospital Transfers As Potential Indicators of Rural Hospital Quality
Context: Obtaining meaningful information from statistically valid and reliable measures of the quality of care for disease‐specific care provided in small rural hospitals is limited by small numbers of cases and different definitive care capacities. An alternative approach may be to aggregate and analyze patient services that reflect more generalized care processes. Purpose: To evaluate the applicability of intensive care unit (ICU) utilization …
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What Would Be the Effect of Referral to High‐Volume Hospitals in a Largely Rural State
Context: Volume of certain surgical procedures has been linked to patient outcomes. The Leapfrog Group and others have recommended evidence‐based referral using specific volume thresholds for nonemergent cases. The literature is limited on the effect of such referral on hospitals, especially in rural areas. Purpose: To examine the impact of evidence‐based referral by volume standard for 5 hospital procedures (abdominal aortic artery repair, coron…
Intensive Care Unit Utilization and Interhospital Transfers As Potential Indicators of Rural Hospital Quality
Context: Obtaining meaningful information from statistically valid and reliable measures of the quality of care for disease‐specific care provided in small rural hospitals is limited by small numbers of cases and different definitive care capacities. An alternative approach may be to aggregate and analyze patient services that reflect more generalized care processes. Purpose: To evaluate the applicability of intensive care unit (ICU) utilization …
Emrs and Clinical Is Implementation in Hospitals
Purpose: Present an overview of clinical information systems (IS) in hospitals and analyze the level of electronic medical records (EMR) implementation in relation to clinical IS capabilities and organizational characteristics. Methods: We developed a survey instrument measuring clinical IS implementation and classified clinical IS across 5 EMR levels. The survey was administered to hospitals in a state with a large number of rural hospitals (84%…
Factors that affect health information technology adoption by seniors
Family medicine (3 works) · Medical emergency (3 works) · Medicine (3 works) · Case mix index (2 works) · Emergency Medicine (2 works) · Nursing (2 works) · Referral (2 works) · Acute care (1 work) · Computer Science (1 work) · Documentation (1 work)