Evaluating the Impact of CPOE Systems on Medical Workflow: a Mixed Method Study. - Zahra Niazkhani (MIE, 2008)

Evaluating Inter-Professional Work Support by a Computerized Physician Order Entry (CPOE) System. - Zahra Niazkhani; Habibollah Pirnejad; Antoinette de Bont; Jos Aarts (MIE, 2008)

Impact of a computerized physician order entry system on nurse-physician collaboration in the medication process. - Habibollah Pirnejad; Zahra Niazkhani; Heleen van der Sijs; Marc Berg; Roland Bal (Int. J. Medical Informatics, 2008)

Same system, different outcomes: Comparing the transitions from two paper-based systems to the same computerized physician order entry system. - Zahra Niazkhani; Heleen van der Sijs; Habibollah Pirnejad; William K. Redekop; Jos Aarts (Int. J. Medical Informatics, 2009)

Review Paper: The Impact of Computerized Provider Order Entry Systems on Inpatient Clinical Workflow: A Literature Review. - Zahra Niazkhani; Habibollah Pirnejad; Marc Berg; Jos Aarts (J. Am. Medical Informatics Assoc., 2009)

Reporting Qualitative Research in Health Informatics: REQ-HI Recommendations. - Zahra Niazkhani; Habibollah Pirnejad; Jos Aarts; Samantha A. Adams; Roland Bal (MIE, 2011)

What Makes an Information System More Preferable for Clinicians? a Qualitative Comparison of Two Systems. - Habibollah Pirnejad; Zahra Niazkhani; Jos Aarts; Roland Bal (MIE, 2011)

Evaluating the medication process in the context of CPOE use: The significance of working around the system. - Zahra Niazkhani; Habibollah Pirnejad; Heleen van der Sijs; Jos Aarts (Int. J. Medical Informatics, 2011)

Towards Realizing Benefits of Information Technology in Organ Transplant: A Review. - Parviz Rashidi Khazaee; Habibollah Pirnejad; Jamshid Bagherzadeh; Zahra Niazkhani (ICIMTH, 2016)

The impact of health information technology on organ transplant care: A systematic review. - Zahra Niazkhani; Habibollah Pirnejad; Parviz Rashidi Khazaee (Int. J. Medical Informatics, 2017)

Impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay, and mortality in intensive care units: a systematic review and meta-analysis. - Mirela Prgomet; Ling Li 002; Zahra Niazkhani; Andrew Georgiou; Johanna I. Westbrook (J. Am. Medical Informatics Assoc., 2017)

A dynamic model for predicting graft function in kidney recipients' upcoming follow up visits: A clinical application of artificial neural network. - Parviz Rashidi Khazaee; Jamshid Bagherzadeh; Zahra Niazkhani; Habibollah Pirnejad (Int. J. Medical Informatics, 2018)

Preventing potential drug-drug interactions through alerting decision support systems: A clinical context based methodology. - Habibollah Pirnejad; Parasto Amiri; Zahra Niazkhani; Afshin Shiva; Khadijeh Makhdoomi; Saeed Abkhiz; Heleen van der Sijs; Roland Bal (Int. J. Medical Informatics, 2019)

Predicting the function of transplanted kidney in long-term care processes: Application of a hybrid model. - Parviz Rashidi Khazaee; M. Jamshid Bagherzade; Zahra Niazkhani; Habibollah Pirnejad (J. Biomed. Informatics, 2019)

Translation of evidence into kidney transplant clinical practice: managing drug-lab interactions by a context-aware clinical decision support system. - Zahra Niazkhani; Mahsa Fereidoni; Parviz Rashidi Khazaee; Afshin Shiva; Khadijeh Makhdoomi; Andrew Georgiou; Habibollah Pirnejad (BMC Medical Informatics Decis. Mak., 2020)

Barriers to patient, provider, and caregiver adoption and use of electronic personal health records in chronic care: a systematic review. - Zahra Niazkhani; Esmaeel Toni; Mojgan Cheshmekaboodi; Andrew Georgiou; Habibollah Pirnejad (BMC Medical Informatics Decis. Mak., 2020)

Patient empowerment through a user-centered design of an electronic personal health record: a qualitative study of user requirements in chronic kidney disease. - Esmaeel Toni; Habibollah Pirnejad; Khadijeh Makhdoomi; Azam Mivefroshan; Zahra Niazkhani (BMC Medical Informatics Decis. Mak., 2021)

A novel artificial neural network improves multivariate feature extraction in predicting correlated multivariate time series. - Parinaz Eskandarian; Jamshid Bagherzadeh Mohasefi; Habibollah Pirnejad; Zahra Niazkhani (Appl. Soft Comput., 2022)