Literature DB >> 23407861

Readiness assessment of electronic health records implementation.

Sima Ajami1, Saeedeh Ketabi, Sakineh Saghaeiannejad Isfahani, Asieh Heidari.   

Abstract

INTRODUCTION: During the past 20 years, with huge advances in information technology and particularly, in the areas of health, various forms of electronic records have been discussed, designed or implemented. Although making health records automatically has many advantages but unfortunately in some cases, creation of an Electronic Health Record (EHR) system seems to be complicated. E-health (Electronic health) readiness assessment, as a part of the assessment before implementation is considered essential and prior to implementation. Readiness assessment aims to evaluate preparedness of each organizational component. This process can lead to the correct decision making. Therefore, identifying areas and requirements for such an assessment is so essential. Using the results of this assessment can identify deficiencies in the existing electronic health records to plan their strategies. The aim of this study was first; to show the situation of readiness assessment in EHR implementation roadmap, second, to recognize requirements associated with electronic readiness assessment and main areas of EHR readiness assessment. RESULTS AND DISCUSSION: This study reviewed the literature on EHR readiness assessment with the help of library and also searches engines available at Google. For our searches, we employed the following keywords and their combinations: readiness, assessment, implementation, Electronic Health Record (EHR), Information Technology, road map in the searching areas of title, keywords, abstract, and full text. In this study, more than 100 articles and reports were collected and 45 of them were selected based on their relevancy.

Entities:  

Keywords:  Assessment; Electronic Health Record (EHR).; Implementation; Readiness

Year:  2011        PMID: 23407861      PMCID: PMC3564174          DOI: 10.5455/aim.2011.19.224-227

Source DB:  PubMed          Journal:  Acta Inform Med        ISSN: 0353-8109


INTRODUCTION

During the past 20 years, with huge advances in information technology and particularly in the areas of health, various forms of electronic records have been discussed, designed or implemented (1). Electronic Health Record (EHR) technology is considered as a new standard for medicine performance in USA in the 21st century (2, 3). During the past ten years many researchers have confirmed to move toward Electronic Health Records and promoted the technology based on information (4, 5). Also, in many studies the benefits of using computers in clinical activities have been discussed (2, 6, 7, 8). World Health Organization believes that Electronic Health Record includes all individual health information that provides electronic access during the person’s life for health providers. It can cover all patients (individuals) referrals including outpatient, inpatient and emergency (1). Although making health records automatically has many advantages but unfortunately in some cases creation of an Electronic Health Record (EHR) system seems to be complicated. The problem may be due to unavailability of technology, funding, lack of technical and computer skills of personnel. Moreover, resistance and opposition of changes from electronic systems to manual systems by some health providers may create some problems (1). Information systems researchers have identified complex problems in implementing of health information systems, especially in developing countries (9). Acceptation of any information system requires planning and good management to change (10). E-health (Electronic health) readiness assessment, as a part of the assessment before implementation, is considered essential and prior to implementation (11, 12). Readiness assessment aims to evaluate preparedness of each organization component. This process can lead to the correct decision making based on existing realities and constraints of the organization. Having a clear and defined process on how to do things can raise the success (13). Organizational resources and technical structures such as hardware and software are very essential requirements in the redesign of electronic projects (14). A study on selection and implementation of successful electronic health records in small outpatient institutions in the United States of America showed that the EHR implementation experience has depended on several factors including technology, education, leadership, change management and unique properties of outpatient setting (15). In general, failures are associated with evidence of negative consequences resulting from these technologies and will increase the amount of errors in using them (16, 17, 18, 19, 20, 21, 22, 23). It can be stated that readiness assessment can offer a list of duties, and based on it, budget and time will be more accurately planned (13). Therefore, identifying areas and requirements for such an assessment is so essential. Using the results of this assessment can identify deficiencies in the existing electronic health records to plan their strategies. In this regard, it is necessary to assess readiness before any planning to implement electronic records. The aim of this study is: to show the situation of readiness assessment in EHR implementation roadmap; to recognize requirements associated with electronic readiness assessment and main areas of EHR readiness assessment.

METHODOLOGY

This study was a review article and has been conducted with using library and electronic resources. The literature search was conducted with the help of search engines available at Google and also by using the citation and reference tracking methods. For our searches, we employed the following keywords and their combinations: readiness, assessment, implementation, Electronic Health Record (EHR), Information Technology, road map in the searching areas of title, keywords, abstract, and full text. Technical reports were excluded since research papers were focused. In this study, more than 100 articles and reports were collected and 45 of them were selected based on their relevancy. For meeting the second aim of this article, we try to focus on standard information extracted from Medicare and Medicaid. Because of the less application of EHR readiness assessment than IT readiness assessment all over the world, this study wasn’t limited to any publish date.

RESULTS

The status of readiness assessment in EHR implementation roadmap

Electronic Health Record – EHR implementation roadmap shows the stages of the implementation and track of each stage. This map includes six stages (Figure 1) (24).
Figure 1

EHR implementation roadmap

First and foremost stage of implementation of health information systems is readiness assessment for accepting and implementing of these systems. Preparation is the first important factor for staff enthusiasm to obtain the best and a better understanding of the usefulness of Electronic Health Records (15). In fact, the first stage belongs to readiness assessment, but also is not unique for it and continues even to second and third stages. The planning stage (second stage) is performed to develop goals, opportunities and threats and generally to determine the missions. The selection stage (third stage) assesses the requirements of the organization and needs contained in Electronic Health Records (24). Another study that was conducted by Ahlstrom, demonstrated that the first step in the life cycle of the EHR was readiness assessment, and organizational readiness must be assessed to develop a successful implementation (25).

Requirements associated with electronic readiness assessment

Comprehensive criteria must be followed in readiness assessment to show the preparation of the organization for planning (26). Generally, there are three types of basic requirements for e - readiness (electronic readiness) assessment in order to technical dimension (14):

Basic Requirements for Architecture Readiness

Several factors that judge the technical architecture readiness are important, including: a) Layered structure Judgment, based on operating systems and communication and information exchange standards, infrastructure accessibility, and availability of portal; b) Service orientation which can be judged through the share of services supported by IT, availability of fully automated services, share of data input by database queries, overall infrastructure service. Basic hardware and software: desktops/employee, mainframe availability, server availability, desktop operating system, server operating system. External Data Exchange: data exchange with others, share of services with external data exchange. Internal connectivity: percentage of internal connectivity between departments and agencies on different locations. Support processes: availability of major support systems. Process automation: existence of fully automated services, share of services with IT support. Data and information flow: share of manual data input. Methods of customer notification.

The main areas of EHR readiness assessment

The four main areas of the EHR readiness assessment are organized as follow (26, 27):

Organizational culture

That is an assessment of overall perception of EHR, physician, staff and patient involvement, procedures for patient EHR interaction as well as methods for correcting/editing patient information, project plan development: accountability, timeline, dependencies, and role assignment for all aspects of EHR deployment. Readiness indications in this section will provide a better understanding of organizational infrastructure and a guide for planning the EHR adoption.

Management and leadership

That is an assessment of organization’s readiness to manage information, human and financial resources for current and future EHR requirements. This section details four readiness components including the executive team, financial, strategic plan, quality improvement and care management. Readiness indications in this section require increased management focus, potential process development, or planning before moving forward.

Operational readiness

That includes workflow redesign, care management, EHR policies, procedures, and protocols, EHR vendor relationship management, staffing needs for EHR implementation, training plan, training programs for project managers and IT staff involved in EHR adoption. Readiness indications in this section will identify potential process or barriers to adopting EHR and provide you with tangible guidance to improve this factor.

Technical readiness

That is an assessment of the organization’s technical environment and IT management capabilities. This section specified use of existing technology, hardware needs assessment, IT management, staffing for EHR training, implementation, maintenance, and infrastructure issues. Readiness indications in this section will identify potential areas for increased IT procurement, planning, or staff development prior to increase of EHR adoption.

CONCLUSION

Today is information age and the explosion of information technology has transformed every area of life and work (28). Information is so valuable and it must be well documented, maintained, retrieved and analyzed. In health management systems, information has a special role in planning, evaluation, training, legal aspects and research (29). In fact, the first distinction between developed and developing countries, are the production, application and utilization of information (30). So, with advent of information technology in health care, moving toward a new paradigm such as electronic health record has also begun (28). In this paradigm, Information is immediately accessible and electronic health record can also provide medical alerts and reminders. At first, it may be so expensive but it will save costs in long term (31). Despite broad agreement on the benefits of electronic health records and other forms of health information technology, health care providers have moved so slowly to adopt these technologies (32, 33). Lack of readiness causes weakness of organization to undergo transformation during the implementation of EHR (34). While EHR adoption has been low in some developed countries, the success of EHR adoption has also been low for developing countries, and it can be due to constrained resources, lack of required information technology support and stake holders’ awareness for moving to adopt new system (35, 36). Sufficient preparation in an organizational perspective enables to custom the system and ensures minimal workflow disruptions and irregularity during and after implementation (37). Decision makers must accept that Electronic Health (E-Health) evaluation may serve different purposes for different stakeholders (38). It must be noted that Implementing or transition to a new information system and generally technology advents may cause to fear, anxiety, and computer phobia (39, 40) and so staff acceptance for using information systems have been found to be major determinants of system success. (41). Knowing about readiness assessment and its areas, indications and requirements can facilitate to implement any information system. IT capabilities and the innovative use of technology must be developed in health care organizations (28). Administrators must be encouraged to assess the impact of pre implementation information systems on users, as well as the user’s degree of willingness to use them (42, 43). Implementing information systems faces staff with change that may lead to resistance. Understanding of attitudes and expectations of staff can provide information serve as a starting point for a sometimes frustrating project (44). It is required greater needs for education of staff before implementation of EHR (45).
  28 in total

1.  Termination of a contract to implement an enterprise electronic medical record system.

Authors:  B L Goddard
Journal:  J Am Med Inform Assoc       Date:  2000 Nov-Dec       Impact factor: 4.497

2.  Medical informatics: improving health care through information.

Authors:  William R Hersh
Journal:  JAMA       Date:  2002 Oct 23-30       Impact factor: 56.272

3.  Some unintended consequences of information technology in health care: the nature of patient care information system-related errors.

Authors:  Joan S Ash; Marc Berg; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2003-11-21       Impact factor: 4.497

4.  A proposal for electronic medical records in U.S. primary care.

Authors:  David W Bates; Mark Ebell; Edward Gotlieb; John Zapp; H C Mullins
Journal:  J Am Med Inform Assoc       Date:  2003 Jan-Feb       Impact factor: 4.497

5.  The computerized medical record system: meeting the challenge for nursing.

Authors:  J Gluck
Journal:  J Nurs Adm       Date:  1979-12       Impact factor: 1.737

6.  Use of electronic health records in U.S. hospitals.

Authors:  Ashish K Jha; Catherine M DesRoches; Eric G Campbell; Karen Donelan; Sowmya R Rao; Timothy G Ferris; Alexandra Shields; Sara Rosenbaum; David Blumenthal
Journal:  N Engl J Med       Date:  2009-03-25       Impact factor: 91.245

7.  Preparing to introduce a computer into a health centre.

Authors:  C R Whitehouse
Journal:  Br Med J (Clin Res Ed)       Date:  1981-07-11

8.  A study of a rural community's readiness for telehealth.

Authors:  Penny Jennett; Andora Jackson; Theresa Healy; Kendall Ho; Arminee Kazanjian; Robert Woollard; Susan Haydt; Joanna Bates
Journal:  J Telemed Telecare       Date:  2003       Impact factor: 6.184

9.  The Future of Family Medicine: a collaborative project of the family medicine community.

Authors:  James C Martin; Robert F Avant; Marjorie A Bowman; John R Bucholtz; John R Dickinson; Kenneth L Evans; Larry A Green; Douglas E Henley; Warren A Jones; Samuel C Matheny; Janice E Nevin; Sandra L Panther; James C Puffer; Richard G Roberts; Denise V Rodgers; Roger A Sherwood; Kurt C Stange; Cynthia W Weber
Journal:  Ann Fam Med       Date:  2004 Mar-Apr       Impact factor: 5.166

10.  Electronic technology: a spark to revitalize primary care?

Authors:  Thomas Bodenheimer; Kevin Grumbach
Journal:  JAMA       Date:  2003-07-09       Impact factor: 56.272

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  17 in total

1.  Barriers for Adopting Electronic Health Records (EHRs) by Physicians.

Authors:  Sima Ajami; Tayyebe Bagheri-Tadi
Journal:  Acta Inform Med       Date:  2013

Review 2.  Radio Frequency Identification (RFID) technology and patient safety.

Authors:  Sima Ajami; Ahmad Rajabzadeh
Journal:  J Res Med Sci       Date:  2013-09       Impact factor: 1.852

3.  A comparative study on iMed(©) and European database for multiple sclerosis to propose a common language of multiple sclerosis data elements.

Authors:  Sima Ajami; Golchehreh Ahmadi; Sakineh Saghaeiannejad-Isfahani; Masoud Etemadifar
Journal:  J Educ Health Promot       Date:  2014-11-29

Review 4.  The role of information system in multiple sclerosis management.

Authors:  Sima Ajami; Golchehreh Ahmadi; Masoud Etemadifar
Journal:  J Res Med Sci       Date:  2014-12       Impact factor: 1.852

Review 5.  A review on equipped hospital beds with wireless sensor networks for reducing bedsores.

Authors:  Sima Ajami; Lida Khaleghi
Journal:  J Res Med Sci       Date:  2015-10       Impact factor: 1.852

Review 6.  Performance improvement indicators of the Medical Records Department and Information Technology (IT) in hospitals.

Authors:  Sima Ajami; Saedeh Ketabi; Fatemeh Torabiyan
Journal:  Pak J Med Sci       Date:  2015       Impact factor: 1.088

Review 7.  Barriers to implement Electronic Health Records (EHRs).

Authors:  Sima Ajami; Razieh Arab-Chadegani
Journal:  Mater Sociomed       Date:  2013

8.  A roadmap to pre-implementation of electronic health record: the key step to success.

Authors:  Marjan Ghazisaeidi; Maryam Ahmadi; Farahnaz Sadoughi; Reza Safdari
Journal:  Acta Inform Med       Date:  2014-04

Review 9.  Use of telemedicine in disaster and remote places.

Authors:  Sima Ajami; Parisa Lamoochi
Journal:  J Educ Health Promot       Date:  2014-05-03

10.  Health Professionals' readiness to implement electronic medical record system at three hospitals in Ethiopia: a cross sectional study.

Authors:  Senafekesh Biruk; Tesfahun Yilma; Mulusew Andualem; Binyam Tilahun
Journal:  BMC Med Inform Decis Mak       Date:  2014-12-12       Impact factor: 2.796

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