Skip to main content

The application of health information technology for the elderly care in the emergency department: a conceptual model

Abstract

Introduction

In the emergency departments (EDs), usually the longest waiting time for treatment and discharge belongs to the elderly patients. Moreover, the number of the ED admissions for the elderly increases every year. It seems that the use of health information technology in geriatric emergency departments can help to reduce the burden of the healthcare services for this group of patients. This research aimed to develop a conceptual model for using health information technology in the geriatric emergency department.

Methods

This study was conducted in 2021. The initial conceptual model was designed based on the findings derived from the previous research phases (literature review and interview with the experts). Then, the model was examined by an expert panel (n = 7). Finally, using the Delphi technique (two rounds), the components of the conceptual model were reviewed and finalized. To collect data, a questionnaire was used, and data were analyzed using descriptive statistics.

Results

The common information technologies appropriate for the elderly care in the emergency departments included emergency department information system, clinical decision support system, electronic health records, telemedicine, personal health records, electronic questionnaires for screening, and other technologies such as picture archiving and communication systems (PACS), electronic vital sign monitoring systems, etc. The participants approved all of the proposed systems and their applications in the geriatric emergency departments.

Conclusion

The proposed model can help to design and implement the most useful information systems in the geriatric emergency departments. As the application of technology accelerates care processes, investing in this field would help to support the care plans for the elderly and improve quality of care services. Further research is recommended to investigate the efficiency and effectiveness of using these technologies in the EDs.

Peer Review reports

Introduction

Aging is an important part of the natural human life, which has recently caused new challenges for the health systems [1]. The elderly are the most recipients of healthcare services and contribute to increase emergency department (ED) visits [2]. It should be noted that the number of the elderly admitted to the EDs increases annually, and they spend more time in this department than other age groups [2,3,4]. However, the high workload and the lack of adequate staff in the EDs may cause challenges in the provision of high-quality care to the elderly [5]. In addition, overcrowding in hospitals may reduce the quality of care, increase medical errors, decrease patient satisfaction, and create a repetitive cycle of hospitalization [6]. Considering the complexity of the elderly care and their unique needs in the EDs, it seems that the use of various types of health information technologies in this department can improve data collection processes, quality of care, and access to the elderly health data [7].

Health information technologies have a number of potentials to improve quality, safety, and efficiency of patient care in different fields including geriatric emergency medicine [8,9,10]. These technologies help to improve treatment outcomes, reduce mortality, support emergency care services [11, 12], and improve clinical decision making processes [11, 13] through integrating various types of information systems used in pre-hospital and hospital emergency care services [11, 14,15,16,17,18]. Some of these technologies are telemedicine, electronic health records, clinical decision support systems, web-based packages for patients and their families, and assistive information technologies in the EDs, especially for the elderly [19, 20].

In Iran, population aging is rapidly increasing [21] and it is estimated that the ratio of the elderly to the population will be 14.5% within the next 15 years and 22% within the next 25 years. This will increase economic pressure on the active population of the country [22]. Moreover, providing emergency care services for such a large group of patients may not be very effective [23]. According to numerous studies, the inadequacy of documentation in the EDs [23,24,25,26,27,28], illegibility of emergency care records [29, 30], and the high percentage of medication errors in the EDs especially for patients aged from 50 to 75 years old, expose the elderly to the consequences of the prolonged stay in the EDs [25].

In addition, due to the limited financial and physical resources in the field of geriatric care [31, 32], it is necessary to use alternative solutions to improve the quality of care. The results of the previous studies on the use of various geriatric emergency care models indicated that it is necessary to formulate new practical models with interdisciplinary features to address the healthcare requirements of the elderly, save costs, and reduce patient re-admission rate [33, 34]. According to a literature review, although recent developed health information technologies, including health information systems, computerized provider order entries, and electronic health records have reduced challenges in providing elderly care services in the EDs, there are still many opportunities to help these patients [35]. The experts in the field of geriatric emergency medicine also believed that the use of health information technologies in the emergency departments can lead to a greater focus on the optimal use of the tresources for the elderly care, and improve emergency care services for them [36]. Therefore, this study aimed to develop a conceptual model for using health information technology in the geriatric emergency department.

Methods

This was a mixed-methods study conducted in Iran in 2021. Before conducting the research, the ethics approval was obtained from the university ethics committee. Initially, a review study was conducted by the research team members (GS, HA, MH) to identify the application of various types of health information technologies for the elderly in emergency care services [35]. In the second phase of the research, opportunities for using various health information technologies for the elderly care in the emergency departments were investigated. In this phase, 33 experts in the fields of geriatric medicine, geriatric nursing, and emergency medicine were interviewed. These individuals lived in the capital of Iran (Tehran) and worked either in the emergency departments or in the medical universities [36]. Then, an initial conceptual model was designed based on the findings derived from the first and the second phases of the study, and was examined by an expert panel (n = 7). Finally, using the Delphi technique (two rounds), the components of the conceptual model were approved and finalized by more experts. In this paper, the results of the Delphi study are reported.

Participants

The purposive sampling method was used to select the eligible participants. The potential participants included the faculty members of the geriatric medicine departments of two medical universities and the faculty members of the geriatric nursing departments of four medical universities. Other participants were the emergency medicine specialists and nurses who worked in three different university hospitals. In total, 223 individuals were found eligible to participate in the research. All of the participants had at least three years of work experience in the field of emergency or geriatric medicine/nursing. These people were invited to complete the research questionnaire either in a personal meeting with one of the researchers (GS) or after receiving the questionnaire via emails.

Research instrument

A 90-item questionnaire was designed based on the literature review and findings derived from previous stages of the research [35, 36]. It was a five-point Likert scale questionnaire ranged from very important (5), important (4), moderately important (3), slightly important (2), and not important (1) (Appendix I). The face and content validity of the questionnaire were assessed by six faculty members of geriatric medicine, emergency medicine, and geriatric nursing. The questionnaire was piloted before being sent to the actual research participants. It was completed by 10 emergency medicine specialists and nurses, who were out of the research sample, to ensure that it is appropriate for collecting the main data. The participants’ feedback helped to improve the readability of the questionnaire. The questionnaire for the first round of the Delphi study consisted of eight parts, participants’ demographic data (7 questions), applications of the emergency department information system (14 questions), clinical decision support system (8 questions), electronic health records (20 questions), telemedicine (14 questions), personal health records (19 questions), electronic questionnaire (5 questions), and other technologies (e.g., picture archiving and communication system (PACS), electronic vital sign monitoring systems, etc.) (1 question). An open-ended question was also considered to ask the participants about other useful health information technologies in the field of geriatric emergency medicine.

Data analysis

Initially, Shapiro-Wilk test was performed to determine the normality of data distribution (P > 0.05). Then, descriptive statistics were used to analyze the data. If 75% of the participants or more chose the first two response options for an item (i.e., very important and important), and the mean value was more than 3.75, the item was considered important and entered into the final model. Those items for which a total of 50 to 75% of the participants chose the first two response options and their mean values were between 2.5 and 3.75, were asked again in the second round of the Delphi study. The items that were chosen by less than 50% of the participants and their mean values were less than 2.5, were considered less important from the experts’ point of views and were removed from the final model. In both rounds of the Delphi study, the same procedures were undertaken to analyze the data.

Results

As Table 1 shows, in total 39 participants took part in the 1st round of the Delphi study. In the 2nd round, the total number of the participants was 18. Most of the participants were female in the first (n = 26, 66.7%) and second (n = 12, 66.6%) rounds of the Delphi study, and the highest frequency belonged to the participants aged over 40 years old. Most of the participants were nurses who had a bachelor’s degree. Although in the first round of the Delphi study, the highest frequency of work experience (n = 16, 41.1%) was more than 15 years, in the second round of the study, the work experience of 6 to 10 years (n = 6, 33.4%) had the highest frequency. The participants’ characteristics in both rounds of the Delphi study are presented in Table 1.

Table 1 Participants’ characteristics in the first and second rounds of the Delphi study

1st round of the Delphi study

Regarding the applications of the emergency department information system in the elderly care, the results indicated that most of the mentioned applications were approved by the experts (Table 2). Among them, the highest mean value was related to the clinical information documentation for the elderly patients (4.7 ± 0.4). The lowest mean value was related to the application of the system during ​​discharge to determine the length of stay in the emergency department (4.0 ± 0.8). This item did not reach a consensus and was asked again in the 2nd round of the Delphi study. In fact, out of 14 applications of the emergency department information system for the elderly care, 13 items were approved and one was left to the second round of the Delphi study.

Table 2 Applications of the emergency department information system for the elderly care in the emergency department

Regarding the applications of the clinical decision support system in caring for the elderly in the emergency department, most of the applications were approved by the experts (Table 3). The highest mean value was related to the prevention of drug interactions (4.7 ± 0.4), and the lowest mean value was related to performing standard and necessary clinical screenings for the elderly (4.2 ± 0.8). The use of the clinical decision support systems to reduce elderly visits to the emergency department did not reach a consensus in the first round and was examined again in the second round of the Delphi study. In fact, out of eight applications of clinical decision support system in the elderly care, seven were approved and one entered to the second round of the Delphi study.

Table 3 Applications of clinical decision support systems for the elderly care in the emergency department

Regarding the applications of electronic health records, all proposed applications were approved in the first round of the Delphi study. Among the approved applications, “documenting all types of procedures and interventions” had the highest mean value (4.6 ± 0.58) and “follow-up after discharge to identify and meet the needs of the elderly”, “determining the length of stay in the emergency department”, and “extracting evidence-based practice models” had the lowest mean values (4.1 ± 0.7).

In terms of the applications of telemedicine in the elderly care, the results indicated that more than half of the proposed applications were approved by the experts (Table 4). The highest mean value was related to the standard and necessary clinical screenings for the elderly (4.2 ± 0.8) and the lowest mean value was related to the social assessment (4.0 ± 0.8). However, five items including clinical assessment, the elderly performance assessment, social assessment, continuity of care during the treatment period, focusing on the patient-centered care, and telecare and telemonitoring did not reach a consensus in the first round of the Delphi study and entered into the 2nd round. In fact, out of 14 telemedicine applications, eight were approved and six were examined again in the 2nd round of the Delphi study.

Table 4 Applications of telemedicine for the elderly care in the emergency department

Regarding the applications of personal health records for the elderly care in the emergency department, the findings indicated that most of these applications were approved by the experts. The highest mean value was related to the clinical assessment (4.6 ± 0.54) and the lowest mean value was related to the post-discharge follow-up to identify and meet the needs of the elderly (3.8 ± 1.0). As three items including “financial and insurance information”, “extraction of evidence-based practice models”, and “follow-up after discharge to identify and meet the needs of the elderly” did not reach an agreement in the first round of the study, they were asked again in the second round. In fact, out of 18 items related to the applications of personal health records for the elderly in the emergency department, 15 were approved and 3 were entered into the 2nd round of the Delphi study. The last section was related to the application of the electronic questionnaires for the elderly care in the emergency department, and clinical assessment (4.5 ± 0.5) had the highest mean value. The lowest mean value belonged to the environmental assessment (4.0 ± 0.7). All items of this section were approved by the experts in the first round of the Delphi study (Table 5). In addition, most of the participants agreed with the use of other health information technologies for the elderly care in the emergency department, especially for improving performance of this department (4.6 ± 0.6).

Table 5 Applications of electronic questionnaire for the elderly care in the emergency department

2nd round of the Delphi study

The questionnaire of the 2nd round of the Delphi study included 11 items that did not reach an agreement by the experts in the first round. The questionnaire consisted of 18 items in two parts. The first part included the participants’ demographic data (7 questions) and the second part included, the applications of the emergency department information system (1 question), clinical decision support system (1 question), telemedicine (6 questions), and personal health records (3 questions) in caring for the elderly in the ED. In this round, all items were approved by the participants. Among these items, clinical assessment of the elderly using telemedicine had the highest mean value (4.6 ± 0.5), and documenting financial and insurance information of the elderly patients using personal health records had the lowest mean value (4.1 ± 0.7) (Table 6).

Table 6 The participants’ responses in the 2nd round of the Delphi study

Discussion

In this study, the most common health information technologies used for the elderly care in the emergency department were identified and divided into seven general categories. These technologies included the emergency department information system, clinical decision support system, electronic health records, telemedicine, personal health records, electronic questionnaire, and other technologies such as the picture archiving and communication system, vital sign monitoring systems, etc.

In the previous studies, health information technologies used in the field of geriatric medicine were divided based on their applications [8,9,10]. For example, Vedel et al. [10] divided information technologies in the field of geriatric medicine into five main groups in terms of their applications: telecare technologies, electronic health records, clinical decision support systems, web-based systems for patients and their families, and assistive information technologies. In this study, all types of health information technologies for the elderly people were discussed, but their applications in the emergency department were not highlighted.

In another study, Schulz et al. [37] categorized the technologies used in the field of geriatric medicine into three groups, monitoring, diagnosis, and treatment, and into five dimensions of life, including physical and mental health, mobility, social relationships, safety, and daily activities and leisure time. The authors noted that information technology can be used in informing the elderly, providing necessary warnings, and increasing the speed of addressing their needs. Taheri et al. [38], divided the applications of information technology for the elderly health programs into 24 groups. However, the use of the technology was not investigated in the field of geriatric emergency medicine. Similary, Rosen et al. [39] identified four major categories for the application of mobile health technology in the field of geriatric medicine which included self-care, health care assistance, supervised health care, and continuous monitoring.

According to the results of the current research, emergency departement information system was one of the important systems that should be used for the elderly and other patients in the emergency departments, and most of the participants agreed upon its several applications. This system can help to collect patients’ clinical and non-clinical data that are important for developing care plans [40].

Another technology used for the elderly in the emergency department was clinical decision support system. These systems can help with increasing quality of care and safety, and using evidence-based medicine in practice [10]. Similarly, Vicente et al. [18] showed that the use of a pre-hospital clinical decision support system that allowed nurses to transfer the elderly directly to the emergency department was feasible and effective.

In terms of the electronic health records (EHR), a majority of the participants agreed with different applications of this system for the elderly in the emergency department. In fact, the electronic health records of the elderly provide a rich source of patient data that can be used by the clinical staff for providing heathcare services or can be used in patient self-management [10]. Bowles et al. [17] explained that geriatric nurse experts can efficiently influence patient outcomes and standardize older adults’ assessment and treatment by providing input into the decision support systems and EHRs. Similarly, Dowding et al. [41] found that EHR implementation was significantly associated with an increase in documentation rates for hospital acquired pressure ulcers (HAPU) risk, a 13% decrease in HAPU rates, but no decrease in fall rates.

Regarding telemedicine technology, the results suggested that more than half of the participants agreed with the applications of this technology for the elderly care in the emergency department. Telemedicine technology reduces the need for travel and facilitates access to the healthcare professionals. In addition, it can also help with saving time, and nurses can manage their time more efficiently [8,9,10]. Similarly, in Lim’s study [42], the results showed that the development of health information technologies, especially web-based technologies and wireless networks has led to significant improvements in telemonitoring of the elderly with chronic diseases. In another study, Morse et al. [43] conducted remote follow-up of the elderly patients through innovations in the geriatric emergency department.

The results of the current study also indicated that there might be other systems which can be used for the elderly care in the emergency department. Brunetti et al. [15] evaluated the benefits of remote medical diagnosis using a mobile-based electrocardiogram (ECG) for the elderly who requested emergency medical services. In another study, Brahmandam et al. [44] investigated the readiness and ability of the elderly to provide clinical information using a tablet in the emergency department. The results of this study revealed that the tablet might be a suitable tool for collecting clinical information of some elderly people in the emergency department; however, it will not be effective for a significant part of this population.

Overall, the results of the Delphi study in two rounds showed that all of the proposed systems and their applications were found important by the participants. This indicates that the findings of the previous studies worked well as building blocks of this study, and the results helped to design a conceptual model based on the overall consensus (Table 7).

Table 7 The model of using health information technology for the elderly care in the emergency department

According to this model, different clinical information systems such as electronic health records, telemedicine, and personal health records can be developed and used to optimize the elderly care in the emergency department [45]. This model helps healthcare practitioner, managers and other stakeholders to choose the most fit technology, and invest in implementing systems that can meet their requirements, particularly in the resource limited countries. A combination of different systems may also work well to support various aspects of emergency care services for the elderly. However, apart from the theoretical aspects, more studies are required to provide evidence on the efficiency and effectiveness of these systems in the emergency care services, especially for the elderly.

Research limitations

One of the limitations of the current study was related to the limited number of the experts who completed the questionnaires. This might be due to the spread of the Covid-19 disease, the high workload of doctors and nurses who worked in the emergency departments, and the reluctance of some clinicians to take part in the research. Moreover, since most of the staff in the emergency departments were nurses, their participation in the first and second rounds of the Delphi study was more than other eligible individuals. Furthermore, the opinions of the elderly were not collected in this study. Future research can focus on investigating the opinions of the clinicians, elderly patients and their caregivers about using different types of information technologies for geriatric care in the emergency departments.

Conclusion

This study was conducted to develop a conceptual model for using health information technology in the geriatric emergency department. The results of this study indicated that various types of health information technologies can be used in the processes of caring for the elderly in the ED. However, careful identification of opportunities and areas of application can help to better use of resources; improve staff performance, and quality of care services, particularly for this group of patients. In addition, complete, accurate, and integrated data collection regarding the elderly health status can be considered as a valuable resource for the training of other clinical staff. It is expected that the model presented in this study facilitates the process of choosing, developing and applying various types of health information technologies in the EDs and helps with conducting further research to determine how these systems can improve efficiency, effectiveness and quality of care for the elderly in the emergency departments.

Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ED:

Emergency Department

PACS:

Picture Archiving and Communication System

ECG:

Electrocardiogram

HER:

Electronic Heaath Records

HAPU:

Hospital Acquired Pressure Ulcers

References

  1. Asadi H, Habibi SA, Davari M. The attitude of nurses working in emergency wards in educational hospitals of Ardabil University of Medical Sciences toward the elderly in 2019. J Gerontol. 2020;5(2):33–41.

    Google Scholar 

  2. Rosenberg M, Rosenberg L. The geriatric emergency department. Emerg Med Clin North Am. 2016;34(3):629–48.

    Article  PubMed  Google Scholar 

  3. Mohammadi M, Ghanbari Moghaddam A, Ilkhani M, Soltanpour R, Khadem Z, Poorrahimi A. Socio-demographic characteristics and referral status of elderly patients in emergency departments in Sabzevar. Q J Geriatric Nurs. 2018;3(4):1–10.

    Google Scholar 

  4. Fry M, Fitzpatrick L, Considine J, Shaban RZ, Curtis K. Emergency department utilization among older people with acute and/or chronic conditions: a multi-center retrospective study. Int Emerg Nurs. 2018;37:39–43.

    Article  PubMed  Google Scholar 

  5. Bayrami R, Rezazadeh A, Ebrahimipour H. Challenges in emergency departments of teaching hospitals affiliated to Mashhad University of Medical Sciences. Hosp J. 2017;16(1):63–72.

    Google Scholar 

  6. Ellis G, Marshall T, Ritchie C. Comprehensive geriatric assessment in the emergency department. Clin Interv Aging. 2014;9:2033–43.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Tsiknakis M, Kouroubali A. Organizational factors affecting successful adoption of innovative eHealth services: a case study employing the FITT framework. Int J Med Inf. 2009;78(1):39–52.

    Article  Google Scholar 

  8. Ollevier A, Aguiar G, Palomino M, Simpelaere IS. How can technology support ageing in place in healthy older adults? A systematic review. Public Health Rev. 2020;41(1):1–12.

    Article  Google Scholar 

  9. Kavandi H, Jaana M. Factors that affect health information technology adoption by seniors: a systematic review. Health Soc Care Community. 2020;28(6):1827–42.

    Article  PubMed  Google Scholar 

  10. Vedel I, Akhlaghpour S, Vaghefi I, Bergman H, Lapointe L. Health information technologies in geriatrics and gerontology: a mixed systematic review. J Am Med Inf Assoc. 2013;20(6):1109–19.

    Article  Google Scholar 

  11. Moghadasi H, Rabiee R, Mastaneh Z. A comparative study of pre-hospital emergency information systems in the United States and the United Kingdom. Payesh. 2014;13(2):383–91.

    Google Scholar 

  12. Shen Z. Effects of information technology on temporal experiences: findings from a hospital emergency department. J Inf Technol Case Appl Res. 2021:1–22.

  13. Peltonen L-M, Kuloheimo A, Junttila K, Salanterä S. A digital service logistics information system for emergency department care coordination-professionals’ experiences. Stud Health Technol Inf. 2020;270:1177–8.

    Google Scholar 

  14. Ayatollahi H, Bath PA, Goodacre S, Lo SY, Draegebo M, Khan FA. What factors influence emergency department staff attitudes towards using information technology? Emerg Med J. 2013;30(4):303–7.

    Article  PubMed  Google Scholar 

  15. Brunetti ND, De Gennaro L, Pellegrino PL, Dellegrottaglie G, Antonelli G, Di Biase M. Atrial fibrillation with symptoms other than palpitations: incremental diagnostic sensitivity with at-home tele-cardiology assessment for emergency medical service. Eur J Prev Cardio. 2012;19(3):306–13.

    Article  Google Scholar 

  16. Brunetti ND, De Gennaro L, Dellegrottaglie G, Di Giuseppe G, Antonelli G, Di Biase M. All for one, one for all: remote telemedicine hub pre-hospital triage for public Emergency Medical Service 1-1-8 in a regional network for primary PCI in Apulia, Italy. Eur Res Telemed. 2014;3(1):9–15.

    Article  Google Scholar 

  17. Bowles KH, Dykes P, Demiris G. The use of health information technology to improve care and outcomes for older adults. Res Gerontol Nurs. 2015;8(1):5–10.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Vicente V, Svensson L, Wireklint Sundstrom B, Sjostrand F, Castren M. Randomized controlled trial of a prehospital decision system by emergency medical services to ensure optimal treatment for older adults in Sweden. J Am Geriatr Soc. 2014;62(7):1281–7.

    Article  PubMed  Google Scholar 

  19. Li SH, Cheng KA, Lu WH, Lin TC. Developing an active emergency medical service system based on WiMAX technology. J Med Syst. 2012;36(5):3177–93.

    Article  PubMed  Google Scholar 

  20. Noh CB, Cha M. A study on the mobile device using an environmental information-collecting sensor. Indian J Sci Technol. 2016;9(46):1–5.

    Article  Google Scholar 

  21. Yu X, Weller P, Grattan KTV. editors. 2015 A WSN healthcare monitoring system for elderly people in geriatric facilities. Stud Health Technol Inf 210 567–71.

    Google Scholar 

  22. Azam S, Yang Y. Mobile health services for patients with chronic diseases: A systematic literature review. [Bachelor’s dissertation]. Otaniemi: Laurea University of Applied Sciences; 2013.

  23. Ramazankhani A, Mahfouz pour S, Marzban S, Naghibzadeh- Tahami A, Sarani A. Assessing waiting time patients in emergency ward of Kerman University of Medical Sciences. Iran J Health Promotion Manage. 2016;5(2):20–30.

    Google Scholar 

  24. Khazaei A, Khatiban M, Saeidi SZ, Karampourian A, Soltanian AR, Asadi HK, et al. Evaluation of factors affecting emergency department length of stay. Hamadan Nurs Midwifery Fac. 2015;23(3):62–71.

    Google Scholar 

  25. Sadoughi F, Shahi M, Ahmadi M, Davaridolatabadi N. Health information management system for elderly health sector: a qualitative study in Iran. Iran Red Crescent Med J. 2016;18(2):e21520–6.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Ahmadi A, Seyedin H, Fadaye-Vatan R. Towards age-friendly hospitals in developing countries: a case study in Iran. Health Promot Perspect. 2015;5(1):42–51.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Esmailian M, Nasr-Esfahani M, Brahimi A-S. The quality of patients’ files documentation in emergency department: a cross sectional study. Iran J Emerg Med. 2014;1(1):16–21.

    Google Scholar 

  28. Baratloo A, Rahmati F, Forouzanfar M, Hashemi B, Motamedi M, Safari S. Evaluation of performance indexes of emergency department. Iran J Emerg Med. 2014;2(3):33–8. [In Persian].

    Google Scholar 

  29. Azimi L, Markazimoghaddam N, Rostami K, Talebi A, Eskandarikia A, Mirzaiy A, et al. Assessing the physicians’ order errors in medical records and it’s effective factors. J Hosp. 2016;57(2):41–8.

    Google Scholar 

  30. Mahmoodian S, Alidadi F, Arji G, Ramezani A. Evaluation of completeness and legal aspects` compliance of emergency’s medical records in teaching hospitals of Zabol university of medical sciences. Iran J Paramedical Sci Rehabilitation. 2014;3(1):33–9.

    Google Scholar 

  31. Shaarbafchi Zadeh N, Akbari F, Khalili Khouzani P, Niaraees Zavare AS. Comparative study of elderly care services among Iran, United States of America, and Sweden. Sci J Kurdistan Univ Med Sci. 2020;25(5):123–40.

    Google Scholar 

  32. Asadzadeh M, Maher A, Jafari M, AliMohammadzadeh K, Hosseini M. The provision of care services for older adults - a narrative review (2015 to 2020). J Gerontol. 2020;5(3):1–13.

    Google Scholar 

  33. Malone ML, Capezuti E, Palmer RM. Geriatrics models of care: bringing best practice to an aging America. Switzerland: Springer International Publishing; 2015.

    Book  Google Scholar 

  34. Brickman KR, Silvestri JA. The emergency care model: a new paradigm for skilled nursing facilities. Geriatr Nurs. 2019;41(3):242–7.

    Article  PubMed  Google Scholar 

  35. Shagerdi G, Ayatollahi H, Hemmat M. Emergency care for the elderly: a review of the application of health information technology. Health Policy Technol. 2022;11(1):100592.

    Article  Google Scholar 

  36. Shagerdi G, Ayatollahi H, Hemmat M. Opportunities for Using Health Information Technology for Elderly Care in the Emergency departments: a qualitative study. Perspect Health Inf Manag. 2022;19(1):1 h.

    PubMed  PubMed Central  Google Scholar 

  37. Schulz R, Wahl H-W, Matthews JT, De Vito Dabbs A, Beach SR, Czaja SJ. Advancing the aging and technology agenda in gerontology. Gerontologist. 2014;55(5):724–34.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Taheri A, Shirani M, Zohouri M. The role of information technology in elderly’s health programs: a comparison in Sweden and France. J Hosp. 2015;12(5):1–11.

    Google Scholar 

  39. Rosen MA, DiazGranados D, Dietz AS, Benishek LE, Thompson D, Pronovost PJ, et al. Teamwork in healthcare: key discoveries enabling safer, high-quality care. Am Psychol. 2018;73(4):433–50.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Sadoughi F, Shahi M, Ahmadi M, Davaridolatabadi N. The comparison of the minimum data set for elderly health in selected countries. Acta Inf Med. 2015;23(6):393–7.

    Article  Google Scholar 

  41. Dowding DW, Turley M, Garrido T. The impact of an electronic health record on nurse sensitive patient outcomes: an interrupted time series analysis. J Am Med Inf Assoc. 2012;19(4):615–20.

    Article  Google Scholar 

  42. Lim S, Kang SM, Shin H, Lee HJ, Yoon JW, Yu SH, et al. Improved glycemic control without hypoglycemia in elderly diabetic patients using the ubiquitous healthcare service, a new medical information system. Diabetes Care. 2011;34(2):308–13.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Morse L, Xiong L, Ramirez-Zohfeld V, Dresden S, Lindquist LA. Tele-follow-up of older adult patients from the geriatric emergency department innovation (GEDI) program. Geriatr (Basel). 2019;4(1):18–26.

    Article  Google Scholar 

  44. Brahmandam S, Holland WC, Mangipudi SA, Braz VA, Medlin RP, Hunold KM, et al. Willingness and ability of older adults in the emergency department to provide clinical information using a tablet computer. J Am Geriatr Soc. 2016;64(11):2362–7.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Gutteridge DL, Genes N, Hwang U, Kaplan B, Shapiro JS. Enhancing a geriatric emergency department care coordination intervention using automated health information exchange-based clinical event notifications. EGEMS (Washington DC). 2014;2(3):8–19.

    Google Scholar 

Download references

Acknowledgements

This research was supported by Iran University of Medical Sciences, Tehran, Iran.

Funding

This research was funded by Iran University of Medical Sciences, Tehran, Iran (IUMS/SHMIS_I/96/9323563001).

Author information

Authors and Affiliations

Authors

Contributions

GS designed and conducted the study. He also prepared the first draft and revisions of the manuscript. HA helped with conceptualizing the research, conducting the study, and finalizing the manuscript. MH and KZ commented on the manuscript. All authors approved the manuscript.

Corresponding author

Correspondence to Haleh Ayatollahi.

Ethics declarations

Ethics approval and consent to participate

All procedures were performed in accordance with the Declaration of Helsinki and the study was approved by the Ethics Committee of Iran University of Medical Sciences (IR.IUMS.FMD.REC 1396.9323563001). An informed written consent was obtained from all participants before conducting the research.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shagerdi, G., Ayatollahi, H., Hemmat, M. et al. The application of health information technology for the elderly care in the emergency department: a conceptual model. BMC Geriatr 24, 618 (2024). https://doi.org/10.1186/s12877-024-05212-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12877-024-05212-w

Keywords