Long before modern hospitals started, folk medicine relayed on supernatural causes and human interaction  for diagnosis. Since an important pilar of medicine was the knowledge of people’s complaints and their past relevant experiences. In health, history taking of complaints as well as past events gave rise to anamnesis in ancient Greek medicine – a clinical process basilar to medicine. It has been used in medical care for centuries as a means to understand patients and their underlying conditions. It is estimated that only from the patient interview, a doctor with adequate communication skills could make a correct diagnosis in 76% of the times .
From such process, critical reasoning and causation with information gathered by a physician through asking specific questions, either to the patient or to other people who know the person, with the aim of obtaining useful evidence allows the formulation of a diagnosis or diagnosis hypotheses upon which medical care provision can be organized. Interview skills contribute significantly to problem detection, diagnostic accuracy, patient and physician satisfaction. Communication skills in general help patient adjustment to stress and illness, patient recall of information, adherence to therapy and health outcomes in general . It is to be expected that even into the next millennia physicians (either humans or artificial intelligence) shall rely upon this method to practice medicine.
A dramatic increase in chronic care versus acute care management is observable. Human mean life expectancy rises, and populations get progressively older, chronic diseases become more prevalent. A systematic review estimated the total number of people with dementia to nearly double every 20 years, to 65.7 million in 2030 and 115.4 million in 2050 . Amongst these, dementia and age-associated progressively memory loss have become especially debilitating conditions limiting the capacity for interviewing patients.
With the appearance of Electronic Health Records (EHR), physicians gained a new tool in care giving. Being able to gather more information through means parallel with classic anamnesis, complementing and facilitating patient care.
Electronic Health Records (EHR) comprise health information of a patient showing clinical data collected from all healthcare professionals involved in the care process, including doctors, nurses, therapists and other specialists . These systems also receive increasing amounts of automatically generated data, from laboratory to imaging data. Derived from a wide range of interconnected medical devices.
The widespread adoption of EHR has changed physician’s workspace and brought new challenges in care giving. In addition to playing a critical role in facilitating and delivering patient care, the record serves as a medicolegal instrument and the data stored within it is used for other administrative activities, including coding and billing .
Several benefits have been associated with EHR use in clinical practice. Increased adherence to guidelines in preventive care, decreased paperwork for providers, improvement in overall quality, efficiency of patient care, reduction of errors, enhanced monitoring of drug therapy, better daily workflow management, easy access of clinical data, legibility of notes, improved problem and medication lists, and better preventive care documentation .
However, several challenges and risks also emerged, concerning professional’s time management and efficiency and associated burnout risk . In spite of potential hazards, EHR proficiency is now an established and necessary competency for any physician .
However, a significant change in context due to the introduction of digital technology created a triangular relationship among physician, patient and technology .
This paper aims to shed light on the chronology behind caregiving for example, if physicians view data from EHR previous to medical history taking or inversely. The context in which the usage of EHR for history taking develops and how the data is managed by physicians and patients. How conflict of information between patient and its’ sources is approached and current challenges in EHR usage. In addition to tools used in EHR to gather, organize and record patient’s medical history.
To examine how EHR and medical history relate, the authors conducted a systematic review of the literature following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta Analyses) guidelines to (1) identify changes in physician care giving, with focus on medical history taking, with the use of EHR in the workspace and (2) summarize the impact of EHR on medical history taking, regarding improvements in protocol or guidelines.
This project did not meet the criteria for submission to local institutional review board appreciation, since all data was published and publicly available.
We searched for relevant studies in Cochrane Libraries and PubMed databases with a specific focus on peer-reviewed journal articles, meta-analyses and observational studies. The search was restricted to articles published in English, and between 2011 and 2020. The end date for our initial and updated searches were June 15, 2020 and December 30, 2020, respectively.
The terms used in our search strategy are outlined in Table 1. It employed a combination of Medical Subject Headings terms and keywords, including medical students, interns, residents and doctors; electronic health records or electronic medical records; medical history taking. Recognizing that electronic records are classified according to setting and purpose, we use EHR broadly to include any system used to collect and gather information about a patient’s health in a digital or computer-based way.
|COMPONENT OF REVIEW TOPIC||MeSH AND KEYWORD SEARCH TERMS|
Residents OR interns
Residency OR internship
Doctors OR physicians
|Intervention||Electronic Health Records
Electronic Medical Records
|Outcome||Medical History Taking|
|MeSH: Medical Subject Heading|
Although different roles are played in EHR interaction of medical students, residents and physicians, students are progressively being exposed to clinical clerkships and extracurricular activities in which they are responsible for retrieving or entering information in EHR. Hence they were included in this review.
We also hand-searched the bibliographies of all included articles.
We included studies if they described perceptions, usage, competences or skills involving EHR use in clinical practice by physicians, residents or medical students. Studies in which tools or frameworks for improving EHR use during patient visitation or medical history taking were also included.
During level 1 and 2 screening we excluded studies not focusing on target population, studies not focusing components of medical history taking (e.g., focusing solely on physical examination; not retrieving information from EHR) and studies that did not approach physician’s, resident’s or medical student’s EHR usage.
All data was abstracted using a previously agreed upon data abstraction form. A spreadsheet was created, and each article was independently assessed (1 = include, 0 = exclude) to determine if the article was germane to our review objective.
By the end of data abstraction 18 results were agreed upon. Further analysis was made for possible bias, basic findings germane to our topic, and limitations. Observations were made on a spreadsheet and further ponderation was made wielding the same 18 results.
The literature matrix created by our spreadsheet catalogued relevant articles according to fields containing data source, publication date, authors, title, relevance, general observations, mention of medical history taking, population and information regarding the existence or not of specific tools regarding EHR.
Our electronic search yielded 170 citations, 162 through PubMed and Cochrane databases and 8 additional results through hand-searching potential studies reference lists, of which 18 studies met inclusion criteria for qualitative synthesis. Figure 1 summarizes the process through which studies were excluded. During level 1 screening a total of 82 studies were excluded. 63 were found to be unrelated to topic and 19 focused solely on EHR but not on physicians, residents or medical students.
During level 2 screening 11 studies did not meet inclusion criteria, 2 of them focused on nurses, 4 were unrelated directly or indirectly to medical history taking and 5 of them didn’t mention changes, impacts or modifications in workflow or clinical practice dynamic with EHR usage regarding documentation, retrieval, gathering or recording information.
Different studies designs were included as a multitude of approaches resulted in distinctive and variable views, such as systematic reviews, observational and experimental studies, policy position paper and short communications in press.
Table 2 summarizes the results, study designs, population and intervention were assessed and are presented, outcomes, risk of bias and limitations were assessed as well. Study findings were categorized and are presented divided among 4 subcategories “EHR vs Paper-based systems”, “Chronology and Context”, “Data management and tools” and “Challenges in use and information conflict management”.
|AUTHORS||STUDY DESIGN AND INTERVENTION||POPULATION||EHR VS PAPER-BASED SYSTEMS||CHRONOLOGY AND CONTEXT||DATA MANAGEMENT AND TOOLS||CHALLENGES IN EHR USE AND INFORMATION CONFLICT MANAGEMENT|
|Crawford S, Kushner I, Wells R, Monks S. 2019 ||Randomized controlled trialDetermine time required to document in Cerner vs Sparrow.||Residents and rotating fourth-year medical students (MS4)||Training;
|Losasso AA, Lamberton CE, Sammon M, Berg KT, Caruso JW, Cass J, Hojat M. 2017 ||Randomized Controlled trialEffects of regular clinic training on EHR vs additional one-hour EHR-communication skills training.||3rd medical students||Empathetic engagement;
|Joukes E, de Keizer NF, de Bruijne MC, Abu-Hanna A, Cornet R. 2019 ||NRSI – cohortCompared perceptions before and after EHR implementation for both centersand expected benefit with perceived benefit.||All health care professionals in two university hospitals||One Paper-based, the other EHR- based, afterwards both EHR-based;Peer communication improved.||Multidisciplinary notes|
|Perry JJ, Sutherland J, Symington C, Dorland K, Mansour M, Stiell IG. 2014 ||NRSI – cohortCompared paper documentation versus electronic medical record for non-traumatic chest pain to determine differences in time.||Physicians||Paper and EHR based systems in similar proportions;Longer documentation using EHR.|
|Thaker VV, Lee F, Bottino CJ, Perry CL, Holm IA, Hirschhorn JN, Osganian SK. 2016 ||NRSI – cohortRecords of visit notes were reviewed to extract history taking, counseling, and recording of obesity at a well-child care visit.||Physicians||Improve quality of care;
|Management of chronic health
Improved careEHR template improves counseling.
|Arsoniadis EG, Tambyraja R, Khairat S, Jahansouz C, Scheppmann D, Kwaan MR, Hultman G, Melton GB. 2015 ||NRSI – observationalUnderstand patient entered data for aspects of health history through an evaluation of the quality of patient-generated data.||Physicians||Barriers to family
|Chi J, Bentley J, Kugler J, Chen JH. 2019 ||NRSI – observationalAnalysis of EHR interactions from third-year medical students||Medical students||Self-taught EHR skills;
Extended EHR use.
Decline of bedside medicine.
|Doberne JW, Redd T, Lattin D, Yackel TR, Eriksson CO, Mohan V, Gold JA, Ash JS, Chiang MF. 2017 ||NRSI – observationalSurvey: (1) addressing the duration of initial medical record review (2) how well the EHR displayed various types of clinical information and (3) the severity of 6 barriers to information access.||Pediatricians||Predominantly EHR-based;
EHR more time consuming;
Increased data volume;
|Initial patient evaluation||Physician’s training;
Veracity of information impacts efficiency of care.
|Barriers to EHR chart review|
|Holahan PJ, Lesselroth BJ, Adams K, Wang K, Church V. 2015 ||NRSI – observationalSurveys assessed 5 technology-related perceptions and 1 outcome variable, effective technology use.||Primary care providers||Work values compatibility|
|Lee EH, Patel JP, Fortin AH 6th.2017 ||NRSI – observationalReviewed medical notes and phrases of interest were codified.||Residents and hospitalist||Increased patient-physician communication and
|General Medical Acronyms
Medical Jargon (96.7%);
Typographical Errors (49%).
|Neri PM, Redden L, Poole S, Pozner CN, Horsky J, Raja AS, Poon E, Schiff G, Landman A. 2015 ||NRSI – observationalExplored qualitatively how emergency physicians use electronic clinical documentation and understand their workflows.||Emergency medicine resident physicians||Preclinical years’ EHR exposure|
|Sandoval MB, Palumbo MV, Hart V. 2017 ||NRSI – observationalProvider’s EHR utilization and perceptions and summarizedrelationship between the time using the EHR and the distinct aspects of the visit.||Medical and nurse students preceptors||Initially EHR review;
Verbally and written summary;
Multitasking data entry and extraction with patient communication.
|De Hoog CL, Portegijs PJ, Stoffers HE. 2014 ||NRSI – review paper||Primary care physicians||Link to clinical
Integration with EHR;
|Hedian HF, Greene JA, Niessen TM. 2018 ||NRSI – review paper||Physicians||Predominantly EHR-based;
Including patient-generated data;
Paper notes suffer omissions, electronic suffer inaccuracies.
|Flipped patient model;
Computer isn’t an intrusion;
EHR doesn’t affect physicians’ empathetic ability;
|Patients direct information input is
Physical examination templates.
Patient’s medical or computer literacy “iPatient”;
Physician’s computer literacy;
Should patient-generated data be trusted?
|Janett RS, Yeracaris PP. 2020 ||NRSI – review paper||Primary care providers||Predominantly EHR-based;
Reduction in documentation time;
Higher adherence to clinical guidelines;
Lower number of medication errors.
|Communication, correct clinical interventions,
quality improvement, and patient safety;
Increased patient empowerment.
Improved population health;
Active outreach to patients;
Advance care planning;
Impact on clinical workflows;
Threat to the physician patient relationship, to patient privacy, and to physician burnout.
|Welch BM, Wiley K, Pflieger L, Achiangia R, Baker K, Hughes-Halbert C, Morrison H, Schiffman J, Doerr M. 2018 ||NRSI – review paper||Physicians||Predominantly EHR- based;
Electronic FHx tools may provide interoperability.
|Help patients gather and organize FHx||Few FHx data that assess risk for common complex diseases||Few data entries;
Lack of a common disease terminology value.
|Buery-Joyner SD, Dalrymple JL, Abbott JF, et al. 2015 ||NRSI – position paper||Medical students||Screen time;
|Kuhn T, Basch P, Barr M, Yackel T; 2015 ||NRSI – position paper||Physicians||Predominantly EHR- based;
Physicians may find the EHR is less efficient.
Excess downstream documentation;
Templates and drop-down boxes;
Documentation should be concise;
Integration of patient-generated data.
Clinical care and communication;
Propagate imprecise or incorrect documentation;
Additional purposes to clinical documentation.
Seven studies [10, 11, 12, 13, 14, 15, 16] compared directly or indirectly physicians and healthcare providers interaction with EHR. Some studies report longer time taken in electronic documentation than paper documentation [10, 15], while other mentioned an improvement in documentation process and overall communication between healthcare providers [12, 13, 16].
This section includes eleven studies that either mentioned which methodology was used in the patient encounter, chronologically if EHR data was consulted prior to patient observation or inversely, and in what context the observation and medical history taking took place in the triangular relationship amongst physician-patient-computer.
Three studies [10, 11, 17] mentioned that physicians first refer to EHR chart review of the patient before the initial approach, one of which denoted that physicians took between 2 and 10 minutes during the initial EHR review . Almost every study mentioned the nature, changes or adaptations of doctor-patient relationship with EHR adoption or implementation. Henceforth stressing the relevance of the topic to clinical practice.
In this section we include studies that revealed important processes in data management of EHR and medical notes, as well as EHR templates and tools used in medical history taking and documentation. Ten studies [10, 11, 12, 13, 14, 16, 18, 19, 20, 21] were found to meet this criteria. Some mentioned either tools or templates that were related to classic anamnesis or patient-generated information [14, 16, 19, 21]. While most focused-on documentation length and quality of information [10, 11, 14, 16, 18, 20, 21], with special attention to functions such as “copy and paste” [10, 11, 14, 18, 22].
Ten studies [10, 11, 12, 14, 16, 17, 20, 21, 22, 23] reported a variety of barriers or challenges in EHR use by physicians. These were considered to influence multiple aspects of doctor-patient relationship , EHR chart review , classic anamnesis [16, 23] and physician’s professional satisfaction and burnout [11, 12, 17, 21]. One review  also mentioned problems relating to information conflict between EHR documentation and patient-generated information.
We identified eighteen studies [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28] describing directly or indirectly many factors detailing the relation between digital health and anamnesis. As Electronic Health Records present multifaceted interface, the possibilities of influencing clinical practice, particularly focusing medical history taking and anamnesis, are as numerous as the possible tools and functionalities which can be implemented.
Multiple changes in clinical practice have been introduced by EHRs. New workflows and dynamics were created as systems progressed and gained new functions, abilities and collected large amounts of data. The latter is now better organized and ready for use than in previous paper-based records.
Some studies showed that between paper-based systems and EHR, electronic recording took longer than paper records. One study found that electronic charting for emergency department patients with non-traumatic chest pain was significantly slower than the standard paper-based system . Another postulated that an increase in electronic chart review may be associated with increased data volume in EHR compared to paper systems . Sometimes expectations of physicians and healthcare professionals regarding EHR usage, data quality and data reuse are not met, however one study found that the overall perception of users in the formerly paper- based center improved or remained stable . Widespread consensus is that there is still room for improvement in EHR development so that it can improve into a more user-friendly and data management system. In addition to possible system improvement, EHR competency is a necessary skill  that is both acquirable and teachable. As studies successfully implemented a teaching method of EHR-communication skills [17, 25], being computer literate and skilled is also a major component of physician’s adaptability to EHR [11, 12].
Changes in clinical practice context were made during EHR implementation, modifying the dynamic of patient-doctor relationship towards a system with three components with the addiction of technology .
However, studies have shown that the impact felt by the patient was more towards indifference to its effect or report neutral to positive levels of satisfaction with their care  and that there is no evidence that the EHR has affected physicians’ ability to empathize with patients . In conclusion, they did not sense a decrease in empathetic engagement from the care giver while pointing out that physicians could be potentially more aware of their past medical information. Physician’s opinions are more diverse as multiple studies have shown that some are skeptical towards EHR implementation and its impact in doctor-patient relationship. They sense negative effect of EHR on the patient–provider connection . Since more time is spent on documentation than with the patient  and physicians are required to multitask while attending to the patient [17, 22, 24].
With these changes in context setting, new workflows and dynamics have been created. Some studies show that EHR review is done first in a new-patient, leading then the professional to be more informed when first giving care [10, 17]. However there has been recorded potential personal and provider biases regarding what one could call the “virtual image of the patient”. The virtual construct of a patient history based on information collected through technological means of data retrieving from EHRs done by a physician or other care provider. Possibly misidentifying or disregarding important aspects of medical history taking and physical examination [11, 16].
As such, data management is paramount for the existence of an EHR with accurate and reliable information. This is a major concern according to physicians . Regarding EHR accuracy of information, multiple studies regard “copy and paste” as a liability to stored information since it is easy to perpetuate errors without noticing. As one study stated “The pervasive use of the “copy and paste” function has negatively affected the quality of many patient records, with inaccurate or outdated information often carried forward.” . However, it is possible to mitigate these risks by developing EHR functions that record if data was copied and the original source . In fact, EHR templates have been proven to improve care management. In one study an increase in rates of documentation of obesity was associated with the use of a standardized EHR template , which lead to improved nutritional and physical activity counseling.
It is also possible to improve and assess data management skills. Developing awareness and teaching methods is important so that it is progressively possible to observe an improvement in data quality. One study successfully implemented an EHR objective structured clinical examination (EHR-OSCE) for clerkships students. It showed that students perform well in EHR-related communication skills, but found skill shortages in data management .
Many clinical practice assistant tools emerged throughout the years. One study made a systematic review of family history tools, it showed that they improve identification of patients with high risk of disease . Although it also detailed that more research is need in this topic. It stated that linking family history tools to clinical guidelines is necessary to enable recommendations for management by the family physician . Another showed that direct data input by patients can be more accurate and aid in physician’s medical history taking . It was also more frequent to observe new information added in sexual history as patients find comfort in the nonjudgmental qualities of computer-based history taking. As it suggests that it is less likely to collect information that is viewed as taboo or stigmatized [11, 23].
As seen before conflicts of information provided by the patient and stored in EHR may arise. It is important that physicians are aware of potential errors that may afflict documentation as unsafe practices, such as copy and paste, and provider biases can influence both the collection and the recording of patient data . In addition to, patient-facing technologies, may also present challenges including generating inaccurate or less granular information .
Challenges in use of EHR may result from patients being dependent on health or computer literacy when completing tools devised to facilitate medical history taking . Care giving professionals have also been found to be dependent on computer competency  and training to provide care in a timely matter. One study found that residents wrote significantly longer notes than the average hospitalist. As reflective of the purpose of their notes, considering residents are encouraged to detail their thought process . This is compatible with barriers to information gathering detailed in one study where pediatricians perceived inaccurate, excessive and poorly displayed information as increasing EHR chart review time . As detailed in the same study “the veracity and accessibility of information in the electronic record can have a significant impact on the quality and efficiency of patient care.” . Solutions to those reside in physicians, residents and medical students training and increase in proficiency and computer literacy. Doctor-patient relationship may improve with EHR-communication skills training.
Our small sample size is likely to be associated with paucity of academic literature on EHRs and its effect on medical history taking. We attempted to mitigate this bias by including a variety of studies designs, searching using a broad set of Medical Subject Headings and hand-searching references lists.
Following a systematic review of the literature, we identified a number of studies stressing the relation between digital tools and medical history taking. In the context of increasing EHR adoption, the adaptability of the care giver is put to the test. When comparing EHR with paper-based systems, we saw that the former brings many benefits to quality of care. Physicians tend to review EHR charts prior to patient encounter. In this triadic context, patients are indifferent to EHR introduction while physicians may overcome perceived barriers with training and computer literacy improvement.
Many issues regarding documentation and data management were found to improve with progressive implementation of EHR, as new tools, templates and functions appear. We postulate that an organized and conceptualized process of Digital Medical History or, also called, “Digital Anamnesis” bears the potential to greatly improve the quality of information gathered. This will in turn ensure better patient safety and improve professional satisfaction through decreased workload and lesser risk of burnout. Education in this new, possible hybrid process of combining classic and digital means of obtain medical history may need to be conceived in Medical Schools and Residency/Internship programs. Future work can pursue a deeper analysis of available literature in this important field of classic and digital medical history taking and empirical work can look at educational needs of medical students and junior physicians.
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
The authors have no competing interests to declare.
Guthrie DJ, et al. History of medicine [Internet]. 2020 [cited 2021 Jan 20]. Available from: https://www.britannica.com/science/history-of-medicine.
Seitz T, Raschauer B, Längle AS, Löffler-Stastka H. Competency in medical history taking—the training physicians’ view. Wien Klin Wochenschr. 2019; 131(1–2): 17–22. DOI: https://doi.org/10.1007/s00508-018-1431-z
Keifenheim KE, Teufel M, Ip J, Speiser N, Leehr EJ, Zipfel S, et al. Teaching history taking to medical students: A systematic review. BMC Med Educ. 2015; 15(1). DOI: https://doi.org/10.1186/s12909-015-0443-x
Prince M, Bryce R, Albanese E, Wimo A, Ribeiro W, Ferri CP. The global prevalence of dementia: A systematic review and metaanalysis. Alzheimer’s Dement [Internet]. 2013; 9(1): 63–75.e2. DOI: https://doi.org/10.1016/j.jalz.2012.11.007
Rajaram A, Hickey Z, Patel N, Newbigging J, Wolfrom B. Training medical students and residents in the use of electronic health records: A systematic review of the literature. J Am Med Informatics Assoc. 2020; 27(1): 174–80. DOI: https://doi.org/10.1093/jamia/ocz178
Herrmann-Werner A, Holderried M, Loda T, Malek N, Zipfel S, Holderried F. Navigating Through Electronic Health Records: Survey Study on Medical Students’ Perspectives in General and With Regard to a Specific Training. JMIR Med Informatics. 2019; 7(4): e12648. DOI: https://doi.org/10.2196/12648
Robinson KE, Kersey JA. Novel electronic health record (EHR) education intervention in large healthcare organization improves quality, efficiency, time, and impact on burnout. Med (United States). 2018; 97(38): 1–5. DOI: https://doi.org/10.1097/MD.0000000000012319
Welcher CM, Hersh W, Takesue B, Stagg Elliott V, Hawkins RE. Barriers to Medical Students’ Electronic Health Record Access Can Impede Their Preparedness for Practice. Acad Med. 2018; 93(1): 48–53. DOI: https://doi.org/10.1097/ACM.0000000000001829
Martins HMG. Caregiver-patient-information system triad: Conceptualizing the workspace for mobile and ubiquitous computing in Health. Heal 2007 Ubiquitous Heal Aging Soc – 2007 9th Int Conf e-Health Networking. Appl Serv. 2007; 299. DOI: https://doi.org/10.1109/HEALTH.2007.381656
Doberne JW, Redd T, Lattin D, Yackel TR, Eriksson CO, Mohan V, et al. Perspectives and uses of the electronic health record among US pediatricians: A national survey. J Ambul Care Manage. 2017; 40(1): 59–68. DOI: https://doi.org/10.1097/JAC.0000000000000167
Hedian HF, Greene JA, Niessen TM. The Electronic Health Record and the Clinical Examination. Med Clin North Am. 2018; 102(3): 475–83. DOI: https://doi.org/10.1016/j.mcna.2017.12.009
Janett RS, Yeracaris PP. Electronic medical records in the american health system: Challenges and lessons learned. Cienc e Saude Coletiva. 2020; 25(4): 1293–304. DOI: https://doi.org/10.1590/1413-81232020254.28922019
Joukes E, De Keizer NF, De Bruijne MC, Abu-Hanna A, Cornet R. Impact of Electronic versus Paper-Based Recording before EHR Implementation on Health Care Professionals’ Perceptions of EHR Use, Data Quality, and Data Reuse. Appl Clin Inform. 2019; 10(2): 199–209. DOI: https://doi.org/10.1055/s-0039-1681054
Kuhn T, Basch P, Barr M, Yackel T, Adler M, Brahan R, et al. Clinical documentation in the 21st century: Executive summary of a policy position paper from the American College of Physicians. Ann Intern Med. 2015; 162(4): 301–3. DOI: https://doi.org/10.7326/M14-2128
Perry JJ, Sutherland J, Symington C, Dorland K, Mansour M, Stiell IG. Assessment of the impact on time to complete medical record using an electronic medical record versus a paper record on emergency department patients: A study. Emerg Med J. 2014; 31(12): 980–5. DOI: https://doi.org/10.1136/emermed-2013-202479
Welch BM, Wiley K, Pflieger L, Achiangia R, Baker K, Hughes-halbert C, et al. Review and Comparison of Electronic Patient-Facing Family Health History Tools. J Genet Couns. 2018; 27(2): 381–91. DOI: https://doi.org/10.1007/s10897-018-0235-7
Sandoval MB, Val Palumbo MHV. Electronic health record’s effects on the outpatient office visit and clinical education Cite. J Innov Heal Inf. 2017; 23(4): 765–71. DOI: https://doi.org/10.14236/jhi.v23i4.151
Buery-Joyner SD, Dalrymple JL, Abbott JF, Craig LTB, Forstein DA, Graziano SC, et al. Overcoming electronic medical record challenges on the obstetrics and gynecology clerkship. Obstet Gynecol. 2015; 126(3): 553–8. DOI: https://doi.org/10.1097/AOG.0000000000001004
De Hoog CLMM, Portegijs PJM, Stoffers HEJH. Family history tools for primary care are not ready yet to be implemented. A systematic review. Eur J Gen Pract. 2014; 20(2): 125–33. DOI: https://doi.org/10.3109/13814788.2013.840825
Lee EH, Patel JP, Fortin AH. Patient-centric medical notes: Identifying areas for improvement in the age of open medical records. Patient Educ Couns [Internet]. 2017; 100(8): 1608–11. DOI: https://doi.org/10.1016/j.pec.2017.02.018
Thaker VV, Lee F, Bottino CJ, Perry CL, Holm IA, Hirschhorn JN, et al. Impact of an Electronic Template on Documentation of Obesity in a Primary Care Clinic. Clin Pediatr (Phila). 2016; 55(12): 1152–9. DOI: https://doi.org/10.1177/0009922815621331
Neri PM, Redden L, Poole S, Pozner CN, Horsky J, Raja AS, et al. Emergency medicine resident physicians’ perceptions of electronic documentation and workflow: A mixed methods study. Appl Clin Inform. 2015; 6(1): 27–41. DOI: https://doi.org/10.4338/ACI-2014-08-RA-0065
Arsoniadis EG, Tambyraja R, Khairat S, Jahansouz C, Scheppmann D, Kwaan MR, et al. Characterizing Patient-Generated Clinical Data and Associated Implications for Electronic Health Records. Stud Health Technol Inform. 2015; 216: 158–62.
Losasso AA, Lamberton CE, Sammon M, Berg KT, Caruso JW, Cass J, et al. Enhancing student empathetic engagement, history-taking, and communication skills during electronic medical record use in patient care. Acad Med. 2017; 92(7): 1022–7. DOI: https://doi.org/10.1097/ACM.0000000000001476
Chi J, Bentley J, Kugler J, Chen JH. How are medical students using the Electronic Health Record (EHR)?: An analysis of EHR use on an inpatient medicine rotation. PLoS One. 2019; 14(8): 6–11. DOI: https://doi.org/10.1371/journal.pone.0221300
Holahan PJ, Lesselroth BJ, Adams K, Wang K, Church V. Beyond technology acceptance to effective technology use: A parsimonious and actionable model. J Am Med Informatics Assoc. 2015; 22(3): 718–29. DOI: https://doi.org/10.1093/jamia/ocu043
Jiggins K. A content analysis of the Meaningful Use clinical summary: Do clinical summaries promote patient engagement? Prim Heal Care Res Dev. 2016; 17(3): 238–51. DOI: https://doi.org/10.1017/S1463423615000353
Biagioli FE, Elliot DL, Palmer RT, Graichen CC, Rdesinski RE, Ashok Kumar K, et al. The Electronic Health Record Objective Structured Clinical Examination: Assessing Student Competency in Patient Interactions while Using the Electronic Health Record. Acad Med. 2017; 92(1): 87–91. DOI: https://doi.org/10.1097/ACM.0000000000001276