Maturity Assessment of Hospital Information Systems Based on Electronic Medical  Record Adoption Model (EMRAM)— Private Hospital Cases in Iran

Ayat, Masarat; Sharifi, Mohammad

doi:10.4236/ijcns.2016.911038

Cited by 4 publications

(6 citation statements)

References 13 publications

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“…It is quite certain that, full-automated systems that always created on base of NLP should have access to electronic documents. However, in Iran, electronic medical record hasn’t been implemented literally in hospitals and often is in stage 2 of the EMR adoption model (EMRAM) ( 43 - 44 ). Electronic data are restricted to administrative-financial data, laboratory data and medical images.…”

Section: Resultsmentioning

confidence: 99%

“…As Jusinski mentioned that NLP based CAC systems are dependent on fully electronic medical documents ( 45 ). As regards, no hospital in Iran, do not have electronic medical records and studies have been shown the majority of hospitals are in stage 2 of EMRAM ( 43 - 44 ), implementation of fully automated CAC systems is impossible. In addition, several researchers emphasized on the necessity of using the unique language and standard terminology in medical documentation for implementing NLP based systems ( 46 - 48 ).…”

Section: Discussionmentioning

confidence: 99%

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A Three-Phase Decision Model of Computer-Aided Coding for the Iranian Classification of Health Interventions (IRCHI)

et al. 2017

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Introduction:Accurate coded data in the healthcare are critical. Computer-Assisted Coding (CAC) is an effective tool to improve clinical coding in particular when a new classification will be developed and implemented. But determine the appropriate method for development need to consider the specifications of existing CAC systems, requirements for each type, our infrastructure and also, the classification scheme.Aim:The aim of the study was the development of a decision model for determining accurate code of each medical intervention in Iranian Classification of Health Interventions (IRCHI) that can be implemented as a suitable CAC system.Methods:first, a sample of existing CAC systems was reviewed. Then feasibility of each one of CAC types was examined with regard to their prerequisites for their implementation. The next step, proper model was proposed according to the structure of the classification scheme and was implemented as an interactive system.Results:There is a significant relationship between the level of assistance of a CAC system and integration of it with electronic medical documents. Implementation of fully automated CAC systems is impossible due to immature development of electronic medical record and problems in using language for medical documenting. So, a model was proposed to develop semi-automated CAC system based on hierarchical relationships between entities in the classification scheme and also the logic of decision making to specify the characters of code step by step through a web-based interactive user interface for CAC. It was composed of three phases to select Target, Action and Means respectively for an intervention.Conclusion:The proposed model was suitable the current status of clinical documentation and coding in Iran and also, the structure of new classification scheme. Our results show it was practical. However, the model needs to be evaluated in the next stage of the research.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A Three-Phase Decision Model of Computer-Aided Coding for the Iranian Classification of Health Interventions (IRCHI)

et al. 2017

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“…Regarding the dedicated office for IT staff to manage their affairs, all governmental hospitals benefitted from one or two offices with enough space (24) yet private hospitals faced limitations to allocate an office for them. In one case, their office was on the roof of the hospital (25). Regarding the allocated staff for each IT office, the situation of governmental hospitals was better than private hospitals.…”

Section: Discussionmentioning

confidence: 99%

“…All governmental hospitals benefitted from one to ten expert staff (employee of contract persons) yet in private hospitals the shortage of IT staff was sensible. Finally, investment on HIS development in the majority of hospitals both in private and governmental hospitals was regarded as a cost and not an investment (24,25). They could not benefit from advantages of these data out of clinical information of patients.…”

Section: Discussionmentioning

confidence: 99%

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A Multiple Comparison Between Military Hospitals and Civilian Hospitals with a Look on the Maturity Situation of Hospital Information Systems in Iran

Ayat

Sharifi

2017

J Arch Mil Med

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Background: Today, there are different benchmarks created to evaluate the maturity of hospital information systems, however, until very recently, there was no reference framework or model to evaluate these system. In the end, a universally famous model called the electronic medical record adoption model appeared as a cornerstone to assess the maturity rate of hospital information system applications in hospitals. However, many developing countries and even some developed nations have not yet been able to present it in countries around the globe. Objectives: The purpose of this study was to assess and compare the maturity of military and civilian (governmental and private) hospitals with regards to electronic medical record adoption model in Isfahan and Tehran provinces of Iran. Methods: This research was a descriptive analytical study to evaluate 2 military, 5 governmental, and 3 private hospitals in the provinces of Isfahan and Tehran in 2016. The selection method was simple random sampling for military hospitals and stratified sampling for civilian hospitals. The measurement tool was electronic medical record adoption model checklist. Results: The findings showed that 100% of military and civilian hospitals reached the 1st stage requirements of EMRAM. However, 50% of all military hospitals, 60% of governmental and 66% of private hospitals have overcome the 2nd stage of HIS maturity. Consequently, these hospitals have the least suitable conditions and stages. However, the military hospitals' maturity was clearly diverse. Moreover, private hospitals showed more obvious immaturity of HISs than military and governmental hospitals. Also, the maturity of military and governmental hospitals was roughly similar. Conclusions: By comparing the Iranian military and civilian hospitals, it was found that maturity of HISs was rather same. The HISs did not apply full potential benefits of HIS and were put up to the third stage of EMRAM in these hospitals. However, the governmental hospital was still standing against it. Eventually, there was no strategy to develop a HIS plan in these hospitals. However, more research is needed to investigate the military hospitals in Iran due to the fact that 2 different types of military along with police health care systems are operating in Iran.

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Managing Directors’ Perspectives on Digital Maturity in German Hospitals—A Multi-Point Online-Based Survey Study

Burmann

Fischer

Brinkkötter

et al. 2022

IJERPH

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Background: The digitalization and integration of data are increasingly relevant for hospitals. Several methods exist to assess and structurally develop digital maturity. However, it is notable that German hospitals lag behind the European average with respect to digitalization. Objective: We hypothesized that: (a) the perspective of hospital managing directors regarding the state of digitalization in German hospitals plays an important role in the investigation of barriers, and (b) the Hospital Future Act in 2020 may help to surmount those barriers. Methods: Aligned with the Checklist for Reporting Results of Internet E-Surveys (CHERRIES), two online surveys were conducted, one in 2019 and one in 2021. Results: The first study covered 184/344 hospitals and the second, 83/344. The responsibility for deciding on the implementation of digitalization lay with the management (115/184; 62.5%). About 54.9% (101/184) of the managing directors desired digitally supported workflows, together with employees or users. In total, 74.7% (62/83) of hospital managing directors expressed an increase in digitization compared to 2019, with a percentage increase of 25.4% (SD 14.41). In some cases, we analyzed the data using an ANOVA, chi-squared test and Pearson’s correlation, but there was no significant relation identified among the variables. Conclusions: This online-based survey study demonstrated that the development of a digitalization strategy is still strongly tied to or dominated by the attitude of the management. One could assume a lack of acceptance among employees, which should be surveyed in future research. The Hospital Future Act, as well as the COVID-19 pandemic, has positively influenced the digital maturity of hospitals.

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Maturity Assessment of Hospital Information Systems Based on Electronic Medical Record Adoption Model (EMRAM)— Private Hospital Cases in Iran

Cited by 4 publications

References 13 publications

A Three-Phase Decision Model of Computer-Aided Coding for the Iranian Classification of Health Interventions (IRCHI)

A Three-Phase Decision Model of Computer-Aided Coding for the Iranian Classification of Health Interventions (IRCHI)

A Multiple Comparison Between Military Hospitals and Civilian Hospitals with a Look on the Maturity Situation of Hospital Information Systems in Iran

Managing Directors’ Perspectives on Digital Maturity in German Hospitals—A Multi-Point Online-Based Survey Study

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