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Featured researches published by Arif M. Rana.


BMC Medical Informatics and Decision Making | 2016

The impact of health information technologies on quality improvement methodologies’ efficiency, throughput and financial outcomes: a retrospective observational study

Raed H. AlHazme; Syed Haque; Harold E. Wiggin; Arif M. Rana

BackgroundTo evaluate whether or not the utilization of Health Information Technologies (HITs) in Quality Improvement Methodologies (QIMs) has impacts on QIMs’ efficiency, throughput and financial outcomes at healthcare organizations and physician practices in the United States.MethodsThis is a retrospective observational study that was conducted between the years of 2014 and 2015 and relied on two data sources: the Dorenfest Institute dataset and the Healthcare Information and Management Systems Society (HIMSS) Analytics data source. In addition, questionnaires were submitted to collect data about how healthcare settings in the United States had been utilizing QIMs in the last 10 years. The submitted questionnaire invitations yielded 144 responses from 134 hospitals and 10 physician practices. Descriptive statistics were used to assess the condition of the data. This involved the utilization of Box-Whisker plots to visualize the data shape, outliers and variation. The Gamma correlation analysis method was used to evaluate the statistical relationships between the QIM outcomes, efficiency, throughput and financial outcomes, and the employment of HIT systems in QIMs.ResultsThe study found that 99.3% of the healthcare organizations and physician practices had implemented at least one QIM over the last 10 years. In the QIM implementations, the total numbers of reported utilization instances of manual data collection, electronic health records, lab information systems, pharmacy information systems, computerized provider order entry and radiology information systems were 387, 352, 205, 185, 180 and 158, respectively. Based on a 95% confidence limit, the Gamma statistical test has shown an inverse correlation between the exclusive utilization of manual data collection and the overall QIM efficiency (p = 0.047, Gamma = −0.388) and throughput (p = 0.012, Gamma = −0.593) outcomes. However, the overall QIM financial outcomes were found to have a statistically insignificant correlation (p = 0.159).ConclusionsThe study has revealed statistically significant negative impacts on QIMs’ efficiency and throughput outcomes when the manual data collection is the sole method used in QIM implementations. This also indicates a positive correlation between the QIMs’ efficiency and throughput outcomes and the HIT utilization in QIMs.


Online Journal of Public Health Informatics | 2014

Development and Implementation of a Clinical and Business Intelligence System for the Florida Health Data Warehouse

Raed H. AlHazme; Arif M. Rana; Michael De Lucca

Objective To develop and implement a Clinical and Business Intelligence (CBI) system for the Florida Health Data Warehouse (FHDW) in order to bridge the gap between Florida’s healthcare stakeholders and the health data archived in FHWD. Materials and Methods A gap analysis study has been conducted to evaluate the technological divide between the relevant users and FHWD health data, which is maintained by the Broward Regional Health Planning Council (BRHPC). The study revealed a gap between the health care data and the decision makers that utilize the FHDW data. To bridge the gap, a CBI system was proposed, developed and implemented by BRHPC as a viable solution to address this issue, using the System Development Life Cycle methodology. Results The CBI system was successfully implemented and yielded a number of positive outcomes. In addition to significantly shortening the time required to analyze the health data for decision-making processes, the solution also provided end-users with the ability to automatically track public health parameters. Discussion A large amount of data is collected and stored by various health care organizations at the local, state, and national levels. If utilized properly, such data can go a long way in optimizing health care services. CBI systems provide health care organizations with valuable insights for improving patient care, tracking trends for medical research, and for controlling costs. Conclusion The CBI system has been found quite effective in bridging the gap between Florida’s healthcare stake holders and FHDW health data. Consequently, the solution has improved in the planning and coordination of health care services for the state of Florida.


The Journal of the American Osteopathic Association | 2015

Identification of Musculoskeletal Disorders in Medically Underserved Regions of South America and Vietnam

Robin J. Jacobs; Belinda Collias; Arif M. Rana; Elaine M. Wallace; Michael N. Kane; David R. Boesler

CONTEXT Musculoskeletal disorders have been implicated as the leading cause of disability throughout the world, representing a high percentage of the disease burden in many nations. Anecdotal evidence suggests that musculoskeletal pain has become increasingly pervasive, especially among rural populations of developing countries. OBJECTIVE To characterize specific musculoskeletal disorders in medically underserved regions where these issues have not yet been thoroughly examined. METHODS The sample comprised adult residents receiving care during brief medical outreach trips to South America (Peru, Ecuador, and Argentina) and Vietnam from December 2010 to March 2013. Patients completed an anonymous questionnaire on musculoskeletal pain, self-reported health status, and health care-seeking behavior. Demographic information was also obtained. RESULTS In Vietnam, 295 patients aged 20 to 88 years (mean [SD], 59 [14.7] years) completed the survey, 204 (69%) of whom were women. In South America, 552 patients aged 18 to 86 years (mean [SD], 44 [17.24] years) completed the survey, 398 (72.1%) of whom were women. Among the Vietnamese patients, acute pain was most frequently felt in the knees (132 [44.7%]), which were also the most frequent site of chronic pain (122 [41.4%]). Among the South American patients, acute pain was felt most frequently in the lower back (225 [47%]), and the upper back (253 [46.6%]) was the most frequent site of chronic pain. Associations were found between sex and chronic pain, with women reporting more chronic pain than men in the shoulder (17 [53%] vs 15 [47%], respectively), upper back (85 [79%] vs 22 [21%]), hand/wrist (153 [85%] vs 52 [15%]), and knee (40 [80%] vs 7 [20%]). Men reported more acute knee pain than women (73 [48%] vs 148 [38%], respectively). For patients in both samples, acute pain was associated with chronic pain in the same location for all body parts (P<.01). CONCLUSION This study characterized specific musculoskeletal disorders in selected poor and underserved regions in Vietnam and South America. Owing to reported regional differences, the authors recommend that global treatment protocols be developed with a population-specific approach after conducting a needs assessment for musculoskeletal disorders.


International Journal of Medical Informatics | 2014

Serious Arabic meaning, grammatical, and study design flaws in the study “Faxed Arabic Prescriptions: A medication error waiting to happen?”

Raed H. AlHazme; Arif M. Rana; Alhussain Aodah

Serious Arabic meaning, grammatical, and study design flaws in the study “Faxed Arabic Prescriptions: A medication error waiting to happen?”


International Journal of Osteopathic Medicine | 2017

Factors influencing osteopathic medical students' intent to work with underserved populations: Implications for curriculum enhancement

Robin J. Jacobs; Michael N. Kane; Elaine M. Wallace; Arif M. Rana; Hassan Iqbal; Zaid Rana


The Journal of the American Osteopathic Association | 2017

Predictors of Osteopathic Medical Students’ Readiness to Use Health Information Technology

Robin J. Jacobs; Hassan Iqbal; Arif M. Rana; Zaid Rana; Michael N. Kane


Journal of the American Osteopathic Association (JAOA) | 2017

Predictors of medical students’ readiness to utilize health information technology

Robin J. Jacobs; Hassan Iqbal; Arif M. Rana; Zaid Rana; Michael N. Kane


Archive | 2016

FACTORS RELATED TO MEDICATION ADHERENCE IN A MULTIETHNIC SAMPLE OF OLDER PERSONSWITH MULTIMORBID CHRONIC CONDITIONS

Robin J. Jacobs; Marie Florent Carre; Arif M. Rana; Hassan Iqbal


Archive | 2016

INFLUENCES OF FIRST-YEAR OSTEOPATHIC MEDICAL STUDENTS’ READINESS TOUTILIZE HEALTH INFORMATION TECHNOLOGY

Hassan Iqbal; Robin J. Jacobs; Zaid Rana; Arif M. Rana


EDULEARN16: 8th annual International Conference on Education and New Learning Technologies | 2016

DEVELOPMENT OF AN INNOVATIVE MEDICAL SCHOOL CURRICULUM TO ENHANCE STUDENTS’ READINESS TO UTILIZE HEALTH INFORMATION TECHNOLOGY IN FUTURE PRACTICE

Robin J. Jacobs; Arif M. Rana; Hassan Iqbal; Zaid Rana

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Robin J. Jacobs

Baylor College of Medicine

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Hassan Iqbal

Nova Southeastern University

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Zaid Rana

Nova Southeastern University

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Michael N. Kane

Florida Atlantic University

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Elaine M. Wallace

Nova Southeastern University

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Harold E. Wiggin

Nova Southeastern University

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