Abstract
The purpose of this study was to evaluate the use of a novel health information technology (HIT), a large customizable interactive monitor (LCIM), implemented in a pediatric intensive care unit (PICU). Specifically, we explored nurses’ perceptions of this novel HIT application and its perceived effect on family engagement. We used a qualitative research design to collect and analyze data from 55 PICU nurses in seven focus groups. A trained moderator followed a semi-structured discussion guide with questions related to perceptions, attitudes, and care team interactions with the LCIM. Groups were audio-recorded, transcribed, and coded using content analysis procedure. Six major themes emerged from the nurse focus groups, which include familiarity and use routines, positive perceptions with the LCIM, negative perceptions with the LCIM, privacy, training, and suggestions for improvement. Insights into nurses’ perceptions of the LCIM has the potential to improve family-centered care.
Keywords: Nursing informatics, Family engagement, Pediatrics, Health information technology, Patient Facing technologies
1. INTRODUCTION
Health information technology (HIT) has become an essential part of healthcare systems in hospitals (Blumenthal & Squires, 2015). In addition to health care providers’ mandated use of electronic health records, the use of non-mandated, novel and more interactive HITs continue to grow. Research points to increased focus on the role of novel HITs in promoting patient-centered, high quality care as well as patient and family engagement (Finkelstein et al., 2012; Prey et al., 2013). Some of these novel and interactive HITs are electronic white boards (Tang, Carpendale, & Scott, 2010; Wong, Caesar, Bandali, Agnew, & Abrams, 2009), tablets (Vawdrey et al., 2011) , patient portals (North et al., 2011), patient facing technologies (Wilcox et al., 2013), and mobile health applications (Pandey et al., 2013; Vardoulakis et al., 2012). Studies suggest that these type of technologies might improve health care quality (Buntin et al., 2011), patient safety (Middleton et al., 2013), patient engagement (White & Danis, 2013), patient-centered care (Zhang et al., 2015) and medication management (Holden et al., 2011); however, additional research will be necessary to understand these benefits and the effective use of these technologies by end users.
Previous research suggests that the field of dreams fallacy may apply to use of health information technologies, in other words, simply implementing a technology does not guarantee its use ( Choi & Chung, 2013; Holden & Karsh, 2010). The Technology Acceptance Model indicates that regardless of the purported quality of the technology or the fact that a given HIT was installed, ultimately, it is the perceptions of those intended to use the technology that determine both its use and whether potential benefits are realized (Holden, 2010). While users may express wants or desires about a given technology, the degree to which their needs are met by the HIT and perception for improving care influences the actual use of the device (Holden & Karsh, 2010).
Several studies focused on doctors’ acceptance and perceptions of electronic health records (EHRs) in both inpatient and outpatient settings (Lanham et al., 2014; Makam et al., 2013), however relatively few studies explores nurses’ HIT perceptions or acceptance (Carrington, 2015). A recent literature review identified only 13 articles exploring nurses’ acceptance, perception or use of newly implemented HITs (Strudwick, 2015). Some of those studies assessed perceived usefulness and perceived ease of use based on the technology acceptance model on various newly implemented HIT, such as bar-coded medication administration systems (Holden et al., 2012; Marini, Hasman, & Huijer, 2009), PDAs (Zhang, Cocosila, & Archer, 2010), medication administration system (Kuo, Liu, & Ma, 2013), EHRs/clinical information systems (Carayon et al., 2011), and hospital information systems (Ketikidis et al., 2012). Some other studies explored nurses’ perception regarding the impact of such technologies on the quality of care (Karsh et al., 2009). Those studies reported variation in nurses’ HIT acceptance and multiple predictors of acceptance, including the HITs perceived usefulness and ease of use (Strudwick, 2015). It is critical to explore and understand the perceptions of nurses on any newly implemented HIT, since nurses are critical users and have pivotal roles in health care delivery.
This qualitative study examines nurses’ perceptions of a commercially available, novel HIT application, the large customizable interactive monitor (LCIM), implemented in a pediatric intensive care unit (PICU). The LCIM is a wall-mounted flat panel touch screen that displays EHR data including vital signs, laboratory results, medications and interventions for the use of providers and families in the room. This study took place in the first PICU to implement this technology in the U.S. To our knowledge, nurses’ perceptions of this HIT have not been studied before. The purpose of this qualitative study, which is a part of a larger mixed-methods study, was to understand nurses’ positive and negative perceptions of this novel HIT application as well as its perceived contribution to family engagement in the PICU.
2. METHODS
2.1. Overview
We used a qualitative research design to collect and analyze focus group data from nurses. Focus groups were conducted from September to December, 2015. This study was approved by the hospital’s institutional review board. Verbal consent was obtained from participants prior to starting the focus groups.
2.2. Setting
The study was conducted in a freestanding Midwestern children’s hospital PICU, a 72-bed unit with approximately 3000 admissions per year. The three-floor PICU delivers highly specialized care for critically ill children and newborns. The first floor admits children with complex heart conditions. Children on this unit receive services related to monitoring of assist devices, extracorporeal membrane oxygenation, post-heart surgery and post-organ transplant. The second floor is a surgical-medical unit providing care to children with body trauma, transplants and innovative surgical procedures. The third floor is a medical-surgical unit with patients that require intensive level medical management, such as sepsis, burns and oncologic disorders. Wall mounted LCIMs were installed in each PICU patient room at the time of the implementation of a new commercial EHR.
2.3. Technology
The EHR system, Epic Version 10 by Epic Systems Corporation, was implemented in November of 2012. EHR settings include all inpatient environments, the emergency department, the operating room environment (as well as anesthesia services), and health system associated primary and subspecialty ambulatory care settings. PICU leaders chose to additionally install the LCIM in each PICU patient room. This LCIM installation was the first in a PICU setting in the U.S. The LCIM is an interactive “view only” technology with no ability to enter data. The LCIM technology utilized the Epic Monitor (v 2010, Epic Systems Corporation, Verona, WI). The organization ensured that the LCIM operated in compliance with HIPAA regulations.
The LCIM is a supplementary software tool that works with the Epic EHR and allows the creation of customized review widgets for display of a patient’s chart. The main use of the tool is to display information about one patient on a large touch-screen monitor within the patient’s room. The customizable nature of the software has the potential to display data whether as a “tracking board” or in an overview of a patient care unit, including vital signs, laboratory results, medications, patient problem list and interventions. In contrast to traditional HIT intended for providers that requires a secure login to access patient information, the LCIM is available in each private patient room for viewing and use by providers as well as patients/families without any login required.
2.4. Recruitment Process and Participants
A convenience sample of PICU nurses was obtained during regularly scheduled monthly staff meetings. Announcements about the research study were posted in the units with the contact information of the research coordinator. The research coordinator met with nurse managers to announce the study and encourage participation during the sessions. Seven focus groups involved a total of 55 nurses. Their mean tenure in nursing was 9 years (median 7 years, range 1-35 years), and mean tenure as a PICU nurse was 6 years (median 6 years, range 1-29).
2.5. Focus Groups
Focus groups were conducted during regular monthly staff meetings to determine the perceptions of PICU nurses regarding the LCIM. There were several reasons we conducted focus group rather than individual interviews. Chiefly, there are restrictions from the hospital management on how nurses can be compensated for participation in research and nurses would need to stay after regular work hours to participate in an individual interview. Thus, we attended the regular monthly staff meetings so that no additional effort was required from the nurses in order to participate. In addition, we viewed the group environment as a strength for discussion of this topic, since individuals can respond to and build on others’ comments. A member of the research team led the group discussions following a semi-structured guide. The focus group guide was developed by the research team based on specific study objectives and following the study framework, the Technology Acceptance Model. The focus group guide included questions regarding nurses’ use routines, how and when they use the LCIM, training and familiarity as well as perceived usefulness and ease of use (Table 1). Discussions were audio-recorded and professionally transcribed, and a second member of the research team additionally took observational notes throughout the groups. Participants were free to answer only those questions to which they were comfortable responding. Each session lasted approximately 30 minutes.
Table 1.
How and when do you use the LCIMs? If not, why not? How do you use the LCIM when you are with parents? When you are using the LCIM in an interaction with the family, what kind of information are you looking at? Do you think families benefit from using the LCIM? What do you think prevents you from using the LCIM? Did you have any training on the LCIM? Do you think that new nurses should get any kind of formal training? Is there any information that you want added to the LCIM that would be useful for you/families? Do you have any concerns about the LCIMs? Within thinking about a specific interaction with a family, what would you say are the advantages and disadvantages of being able to use the LCIM? Who do you think the technology was designed for? Do you think the LCIM can improve care for patients? |
Focus groups continued until saturation was reached, and no new information was shared (Morse & Field, 1995). Two coders independently read and analyzed all the transcripts (in total 7 transcripts). Coding began with creating an initial codebook, which was modified as new codes emerged. The team met to discuss any new codes and to reach consensus, which formed the final codebook. The entire data set was coded by two team members (O.A. and L.A.). Discrepancies were resolved through discussion until consensus was achieved. Coding and analysis was completed using NVivo 10 software.
3. Results
Six major themes emerged from the analysis: 1) familiarity and use routines, 2) positive experiences, 3) negative experiences, 4) privacy, 5) training, and 6) suggestions for improvement. Each theme is described below.
3.1. Familiarity and Use Routines
The topic of familiarity was interpreted differently by different nurses. Some nurses were less familiar with the LCIM and how to use it, “…If families ask to look at something quick, and it’s easier to just click, you know, pull it up in there. Otherwise I just tend to log into Epic.” For those who did not use the LCIM, it was easier for nurses to look at the computer rather than at the LCIM because it was already part of their workflow. Others incorporated the LCIM as part of their routine workflow depending on how much families or attending physicians used the LCIM, “Just when I’m using them it all depends on how comfortable the attending is with using it or if they usually use it during rounds, that’s when I would use it. Or, if families are already looking at it, that’s when I kind of play with it a little bit more with them.” Furthermore, several nurses stated that they do not know all the features of LCIM, so they want to learn more about the LCIM. Several nurses stated the LCIM was designed for physicians and not for nurses.
We also identified several use patterns and purpose of use from this data. Table 2 lists the different ways nurses used the LCIM. The nurses who used the system more frequently viewed lab results, fluid intake and output chart, medications, and the problem list. The ability to view x-rays was used once it was added as a feature of the LCIM (partway through the study).
Table 2.
Theme | Situations of the use |
---|---|
Source of Information | - To quickly check if an order was given or not given - To access specific labs, inputs and outputs, vitals, chest x-ray, assessments - To know the patient’s name, problem list and diagnosis information |
Interaction with families | - To access lab results with chronic children’s families, parents, (e.g., oncology patients) - To look at the medication list with parents - To view imaging (e.g., chest x-rays) with parents - To answer a question from parents when they notice a red lab value ( out of normal range) |
Some nurses emphasized that showing families how to use the LCIM was a critical element to engaging families in their child’s care. However, they noted that it was necessary for themselves to have those skills first, as demonstrated by this comment, “Well I think if we knew how to use them we could even show families what they’re looking at. You know a lot of times they will be like, ‘What is this?’ and I go, ‘That’s what you see that’s what it is, I don’t know how to do anything else because I’m not going to break it.’”
3.2. Positive Perceptions of the LCIM
Nurses spoke about positive perceptions and experiences with the LCIM including family-provider interactions, data display and functions, and physical properties/overall beliefs (Table 3). Nurses stated that the system has potential to assist them with explaining the context of data to families and can be used to educate/teach families, such as, “Visual information helps families understand the data better and facilitates the communication.” Nurses saw the LCIM used as a guiding tool that can help them break information down for families, particularly for complex patients. Also, it was easier for nurses to show trends over time on the LCIM because it graphs the data, “you know I used it last week to show them you know where the kids white count was going up, what that meant, and they could actually like physically see it and not a number, they can see the pretty blue graphs, it was kind of cool.”
Table 3.
Family interaction |
The LCIM allows nurses to show data to families to help them understand their childmation, what is going up |
Families like accessing labs through the LCIM |
Families have a sense of control or more involvement with their child’s care when using the LCIM (parents can see everything) |
Families follow up updated lab results through LCIM |
Nurses use the LCIM as a tool to guide them and help explain information to families |
The LCIM raises awareness to parents when they see red numbers or values they do not understand |
Families use the LCIM for medication reconciliation and timings |
Data display/Functions/Overall Beliefs |
The LCIM provides a visual to pull graphs, images and see tangible values |
The LCIM is easy to use, interactive, and self-explanatory |
The LCIM has nice colors |
Information is clear on the LCIM |
The LCIM allows you to see information in a quick manner (especially helpful in emergency situations) |
The LCIM is always available in the room and nurse can pull up information to tell parents |
The LCIM shows transparency, parents feel comfortable and know that nurses are not hiding anything |
There are varying levels of parents- some trust what the nurses say and some want to know/see exact numbers from the LCIM |
Families with children with chronic conditions benefit from the LCIM because they have continuous access to their child’s medical information. As one nurse described, “I’m mostly focused with our oncology patients whose families are relatively well-versed in what certain values mean. So, they’re expecting and waiting for those lab results, and when they pop up I can help show them what might be just, you know, an extraneous circumstance of lab vs a trend or something like that.” Nurses thought families feel more involved and in control when information is transparent and they can see what is going up or down, if something is getting better or worse, “They like to follow their children’s progress because it has been a long road for them.” Finally, some nurses cited that the LCIM was very helpful in accessing quick information, especially in emergency situations.
3.3. Negative Perceptions of the LCIM
Nurses shared their negative perceptions and experiences with LCIM based on family-provider interaction, data/content related, and technical features/usability issues (Table 4). The impact of different timeframes was frequently mentioned by nurses, who noted the intake and output chart on the LCIM (midnight to midnight) was different from that within the main EHR system (7 am to 7 am). This created confusion and contradicted the mental model of some providers. A comment typical of nurses in this group was, “The monitors go twelve to twelve, somebody said that the other day and I was like because we were having an I and O [input and output] issue with a friend. Which caused issues in rounds because, one person was looking at the computer, and one person was looking at the monitor, so they were off and they were like why is one this and one that”. Other system issues included the LCIM not working, freezing or crashing.
Table 4.
The red numbers (indicating out of normal range) on the LCIM create anxiety and worry for parents who do not understand these values |
The LCIM prompts more questions from families to nurses, it looks scarier than knowing the real information |
Information overload with the amount of data displayed on the LCIM |
The LCIM has too much space with information that nobody ever uses |
The Is and Os on the computer go from seven to seven, from midnight to midnight on the LCIM (creates confusion) |
The LCIM freezes often |
LCIMs in the patient room are so bright at night that the older kids have a hard time sleeping |
Where they are located affects how they are used (No standard location) |
Additionally, nurses had mixed responses to perceived negative comments by family members. Parents asked nurses about information from the LCIM and what it meant. In particular, red values (which are not within the normal range) on the monitor created additional/unnecessary anxiety and worry for families. Some family members became too concerned with specific values, “But, I would say sometimes it is a little distracting because they’re red, even if it’s one off. So, it might be a sodium of one off and then you have to, you know, explain all those things.” Nurses observed that too much information on the LCIM can be challenging for parents, since some parents expressed frustration when they do not understand all of the information.
3.4. Privacy
Despite the fact that the LCIMs were approved by the Corporate Compliance Officer and were NOT identified as a violation during Joint Commission surveys, some nurses were concerned with privacy issues. Common concerns identified included children’s names being displayed on the LCIM and whether this was in compliance with HIPAA privacy rules, “Having the full name so big when we have a lot of confidential patients that you can’t do anything about that name being there and their birthdate..” Some nurses responded negatively for having all the data available to anybody coming into the room, “The other thing to is you know you have visitors coming in the room and who, you know who’s to say they want Aunt Sue to know all that information when she’s visiting. You know we have to get permission to give any information out so, yes it’s kind of right there for anybody.” A few nurses also reported problem list on the screen can show a psychological diagnosis and psych meds which may make patient/family feel uncomfortable when visitors come in the patient room.
3.5. Training
Nurses commented about their training experience in regards to the LCIM. Nurses did not get institutionally-led formal training on how to use the LCIM. Some were not bothered by the lack of training, but commented on how formal training should have been provided, “With them not being utilized, it’s kind of one extra thing that we’ll say, you know, we’ll get the training on and then…if it’s never put into practice, it won’t get used and the training won’t stick.” Some nurses cited that the LCIM was relatively simple and intuitive to figure out how to use. However, nurses noted that more time was needed to learn and use additional features of the system. It was recommended that training would be useful for new hires and they wanted one-on-one training, “I think the best way would be to have someone come on the unit, come into my patient’s room and play with me. Show me what I can access.”
3.6. Suggestions for Improvement
Different suggestions were made by the nurses for improvement to the LCIM (Table 5). One nurse mentioned several suggestions in one answer, “If there were a board like that, that’s interactive and you can flip through each patient as we’re doing our post round’s huddle to discuss patient flow, if there were a way to look at each patient’s profile, have that discussion, if you can free-text in because they like to write down, you know, getting blood, need to follow up, write transcript or whatever, if there were one of those boards in there, live and interactive that fed to the electronic medical record, then everybody would be updated all at once about.”
Table 5.
• Adding due dates for some tasks on the LCIM would be helpful such as dress changes |
• The LCIM should have the function of a white board: daily goals and plan for the day (Make it consistent with Epic) |
• There are useless and unused widgets/parts on the LCIM, which can be used in a better way with more useful widgets |
• Highlight new lab values versus old lab values |
• Highlight or place arrows for a little above normal values instead of having everything in red if it’s a little elevated (values that are not worrisome) |
• The Is and Os should be shown 7am-to 7 pm |
• Upcoming activities such as when the next x-ray or labs should be scheduled |
• Personalized items for the child so the nurse on the next shift knows something about the child (i.e. favorite animal is a bunny) |
• Fun activities for children |
• Make it similar to the handoff tool in Epic (pull up handoff screen and do it in the patient’s room when nurses can check all of their information) |
• General hospital resource information (i.e. café hours, phone numbers) |
• Checklist of education that needs to be done before patient can be discharged |
• creen saver or sleep mode should be added, so it is not necessary for that to be on 24/7 |
• Privacy: Only have initials up on the screen instead of the full name |
• Effective training for nurses regarding LCIM |
4. Discussion
There is increased attention from health care system leaders and hospitals on the implementation and use of novel, next generation HIT systems like the LCIM to help transform medicine. Nurses are one of the main users of various HITs in health care settings and have a pivotal role in health care delivery. Therefore, it is especially important to explore and understand nurses’ perceptions of novel technologies in health care settings. The present study is the first to investigate nurses’ perceptions of the novel LCIM in a PICU setting, and the data suggest a number of novel findings.
First, all nurses agreed that there was a lack of institutional training, which may explain the finding that some nurses said they were unfamiliar with the LCIM. The LCIMs were installed at the time of the implementation of the EHR, and the hospital IT team confirmed the nurses’ perception that no training was provided. Effective technology implementation includes formal training (Karsh, 2004, Duke, Frankel, & Reis, 2013). It has been also reported that lack of training impacts actual use in a negative way (Fossum, Ehnfors, Fruhling, & Ehrenberg, 2011; Middleton et al., 2013). Despite this, several nurses reported learning the LCIM’s content by exploring the system on their own or from other providers who knew how to use the system. An interesting finding in this study was that some families helped nurses learn the system as well. Regardless of these reports of successful use, organizations implementing technologies like the LCIM would be well served by employing proven implementation principles including training, pilot testing, formal communication and feedback processes, and end user participation (Karsh, 2004).
Second, nurses reported variation in use patterns based on their familiarity level with the system. The Technology Acceptance Models predicts this finding; users are more likely to use technologies that are perceived as easy to use or useful to their tasks. The LCIM can be perceived as easy to use in that in requires no login or password, allowing timely access to data. Additionally, the fact that the LCIMs are mounted within the patient room often in close proximity to the patient may make it an easier source of data than the traditional computer-based EHR. The LCIM can be perceived as useful to nurses’ tasks in that they can quickly access specific data such as labs, inputs and outputs, problem list, etc. In addition, our data suggest that the LCIM contributes to nurse-family communication and family engagement, a task that is crucial to quality patient/family care (Carman et al., 2013; Pelletier & Stichler, 2013; Söderström, Benzein, & Saveman, 2003). For example, some nurses used the LCIM as a tool to communicate and inform parents about specific lab values. The ability to easily achieve such useful tasks as information sharing with parents illustrates the potential of the LCIM to enhance care.
Third, nurses identified several positive features and perceptions of the LCIM. The nurses’ perceptions regarding the impact of family interactions with the LCIM are promising practices for family engagement. There has been significant attention given to research on the impact of HIT to improve patient and family-centered care in health care (Prey et al., 2013; Street Jr et al., 2014). The use of the LCIM by nurses as a communication and parent education tool may contribute to the ultimate goal of creating a more patient and family-centered healthcare system. This may be even more important in ICU settings, which can be perceived as overwhelming and even traumatizing (Azoulay et al., 2005; Söderström et al., 2003). The fact that nurses reported that families initiated questions in response to viewing the LCIM suggests its potential as a catalyst for communication. This positive impact can lead to improving family-nurse communication that should be explored in future studies.
Furthermore, the data showed other positive features of the LCIM for nurses, such as providing nice visuals, being easy to use, having clear information and a snapshot view. These technical features have been reported as important factors influencing actual use and perceived usefulness of the technology (Strudwick, 2015). In addition, it was interesting to hear comments about the potential positive effects of this technology on trust and transparency. Some nurses believe that having all information available for parents increase their trust in providers.
We also identified several negative perceptions of the nurses regarding the LCIM. As with many complex technologies, there were technical issues including the screen freezing, displaying information parameters in a different way from the main EHR, and concerns about the light from the bright screen during the night. However, the main concerns were about information overload and additional anxiety of parents because of misinterpretation of the data. Information overload has been discussed in previous papers, questioning the amount and detail of medical data that should be given to patients or families during a hospital stay (Beasley et al., 2011). Nurses observed that some families focused too much on red values (i.e., out of normal range) and had additional anxiety regarding the data. Thus, some nurses felt overwhelmed or even irritated themselves with families who were alarmed by the red numbers and asked many questions based on that information. On the positive side, families asking questions can improve care and communication. Additionally, privacy surfaced as a main concern due to the no log in requirement. Nurses’ reactions were mixed on names being displayed and the readability of medical information from anyone passing by the patient room. Nevertheless, several nurses stated that the individual data values were too small to be reviewed from any distance without entering the patient room.
Finally, nurses suggested several improvements to the LCIM ranging from a way to darken the screen while patients slept to formal training of the nurses. The perceived need for improvements suggest that many of the nurses see unrealized potential of the technology that can be met through both organization changes and enhancements of the technology by the vendor. One additional perceived improvement was the ability to view x-rays directly on the monitor. Since the time of data collection, this functionality has been introduced. Anecdotal reports suggest increased use of the LCIM by nurses and families to view images (MS).
This study had both strengths and weaknesses. Study strengths included a high sample size (55 nurses) for a qualitative study and a focus on a less studied area of nursing and pediatrics HIT (Lehmann et al., 2015). Weaknesses included studying a single site that may limit generalizability of the findings. However, because the setting was a 72-bed ICU that had a dedicated cardiac, surgical and medical floors, the broad range of patient populations in this single ICU may result in findings that would apply to other organ center specific ICUs, even perhaps in the adult setting.
5. Conclusion
This study contributes to an understanding of nurses’ perceptions of a novel, next generation HIT systems in pediatric critical care. It yielded important findings about the potential impact of this technology on family engagement, lending insight into future design, implementation, understanding HIT perceptions and use research on similar technologies. It also highlighted a major point to understand the importance of training on and orientation for this type of novel technology regarding its goal, purpose of implementation, functions and potential contribution to patient care. Future longitudinal studies should examine the impact of this type of novel HIT on care improvement as well as family/patient engagement.
Acknowledgements
We acknowledge the financial support provided by the Agency for Healthcare Research and Quality (Grant # 1R21HS023626–01) for this study. This study would not have been possible without leadership team support. We thank Kathy Murkowski for arranging the interviews with PICU doctors for us. We thank Rich Holden and Chelsea La Berge for their contributions to interview guide development and data collections.
Biography
Onur Asan, PhD, is Assistant Professor of Medicine and have appointment at the Center for Patient Care and Outcomes Research at the Medical College of Wisconsin. His research focuses on human factors application in health care and health information technologies.
Kathryn Flynn, PhD, is Associate Professor of Medicine and Associate Director of the Center for Patient Care and Outcomes Research at the Medical College of Wisconsin. Her research focuses on patient decision making and the design and analysis of patient reported outcome measures.
Laila Azam is a research assistant and doctoral candidate in the Public and Community Health Program at the Medical College of Wisconsin. Ms. Azam received her BS in Healthcare Administration and MBA with a concentration in Healthcare Management from the University of Wisconsin-Milwaukee.
Matthew Scanlon, MD, CPPS is a Professor of Pediatrics, Critical Care at the Medical College of Wisconsin and the Children’s Hospital of Wisconsin. In addition to providing patient care, he studies the impact of technology on healthcare, as well as how work is done in healthcare.
REFERENCES
- Azoulay E, Pochard F, Kentish-Barnes N, Chevret S, Aboab J, Adrie C, … Darmon M (2005). Risk of post-traumatic stress symptoms in family members of intensive care unit patients. American Journal of Respiratory and Critical Care Medicine, 171(9), 987–994. [DOI] [PubMed] [Google Scholar]
- Beasley JW, Wetterneck TB, Temte J, Lapin JA, Smith P, Rivera-Rodriguez AJ, & Karsh BT (2011). Information chaos in primary care: implications for physician performance and patient safety. Journal of American Board Family Medicine, 24(6), 745–751. doi: 10.3122/jabfm.2011.06.100255 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blumenthal D, & Squires D (2015). Giving Patients Control of Their EHR Data. Journal of General Internal Medicine, 30(1), 42–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Buntin MB, Burke MF, Hoaglin MC, & Blumenthal D (2011). The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Affairs (Millwood), 30(3), 464–471. doi: 10.1377/hlthaff.2011.0178 [DOI] [PubMed] [Google Scholar]
- Carayon P, Cartmill R, Blosky MA, Brown R, Hackenberg M, Hoonakker P, … Walker JM (2011). ICU nurses’ acceptance of electronic health records. Journal of the American Informatics Association, 18, 812–819. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carman KL, Dardess P, Maurer M, Sofaer S, Adams K, Bechtel C, & Sweeney J (2013). Patient and family engagement: a framework for understanding the elements and developing interventions and policies. Health Affairs, 32(2), 223–231. [DOI] [PubMed] [Google Scholar]
- Carrington JM (2015). Summary of the Nursing Informatics Year in Review 2014. Nursing Administration Quarterly, 39(2), 183–184. [DOI] [PubMed] [Google Scholar]
- Choi G, & Chung H (2013). Applying the technology acceptance model to social networking sites (SNS): Impact of subjective norm and social capital on the acceptance of SNS. International Journal of Human-Computer Interaction, 29(10), 619–628. [Google Scholar]
- Duke P, Frankel RM, & Reis S (2013). How to integrate the electronic health record and patient-centered communication into the medical visit: a skills-based approach. Teaching and Learning in Medicine, 25(4), 358–365. doi: 10.1080/10401334.2013.827981 [DOI] [PubMed] [Google Scholar]
- Finkelstein J, Knight A, Marinopoulos S, Gibbons MC, Berger Z, Aboumatar H, et al. (Johns Hopkins University Evidence Based Practice Center, Baltimore, MD: ). Enabling patient-centered care through health information technology [Internet]. Rockville (MD): Agency for Healthcare Research and Quality; 2012. June [cited 2012 Dec 20]. (Evidence Report No. 206, Contract No. 290-2007-10061-I). Available from: http://www.ncbi.nlm.nih.gov/books/NBK99854/ [PMC free article] [PubMed] [Google Scholar]
- Fossum M, Ehnfors M, Fruhling A, & Ehrenberg A (2011). An evaluation of the usability of a computerized decision support system for nursing homes. Applied Clinical Informatics, 2(4), 420–436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holden RJ (2010). Physicians’ beliefs about using EMR and CPOE: in pursuit of a contextualized understanding of health IT use behavior. International Journal of Medical Informatics, 79(2), 71–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holden RJ, Brown RL, Alper SJ, Scanlon MC, Patel NR, & Karsh B-T (2011). That’s nice, but what does IT do? Evaluating the impact of bar coded medication administration by measuring changes in the process of care. International Journal of Industrial Ergonomics, 41(4), 370–379. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holden RJ, Brown RL, Scanlon MC, & Karsh B (2012). Modeling nurses’ acceptance of bar coded medication administration technology at a pediatric hospital. Journal of the American Medical Informatics Association, 19, 1050–1058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holden RJ, & Karsh BT (2010). The technology acceptance model: its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159–172. doi: 10.1016/j.jbi.2009.07.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Karsh B-T, Holden R, Escoto K, Alper S, Scanlon M, Arnold J, … Brown R (2009). Do beliefs about hospital technologies predict nurses’ perceptions of quality of care? A study of task-technology fit in two pediatric hospitals. International Journal of Human–Computer Interaction, 25(5), 374–389. [Google Scholar]
- Ketikidis P, Dimitrovski T, Lazuras L, & Bath PA (2012). Acceptance of health information technology in health professionals: An application of the revised technology acceptance model. Health Informatics Journal, 18(2), 124–134. [DOI] [PubMed] [Google Scholar]
- Kuo K-M, Liu C-F, & Ma C-C (2013). An investigation of the effect of nurses’ technology readiness on the acceptance of mobile electronic medical record systems. BMC Medical Informatics and Decision Making, 13(1), 1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lanham HJ, Sittig DF, Leykum LK, Parchman ML, Pugh JA, & McDaniel RR (2014). Understanding differences in electronic health record (EHR) use: linking individual physicians’ perceptions of uncertainty and EHR use patterns in ambulatory care. Journal of the American Medical Informatics Association, 21(1), 73–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lehmann CU, Weinberg ST, Alexander GM, Beyer EL, Del Beccaro MA, Francis AB, … Lighter DE (2015). Pediatric aspects of inpatient health information technology systems. Pediatrics, 135(3), e756–e768. [DOI] [PubMed] [Google Scholar]
- Makam AN, Lanham HJ, Batchelor K, Moran B, Howell‐Stampley T, Kirk L, … & Halm EA (2014). The good, the bad and the early adopters: providers’ attitudes about a common, commercial EHR. Journal of Evaluation in Clinical Practice, 20(1), 36–42. [DOI] [PubMed] [Google Scholar]
- Marini SD, Hasman A, & Huijer HAS (2009). Information technology for medication administration: assessing bedside readiness among nurses in Lebanon. International Journal of Evidence‐Based Healthcare, 7(1), 49–58. [DOI] [PubMed] [Google Scholar]
- Middleton B, Bloomrosen M, Dente MA, Hashmat B, Koppel R, Overhage JM, … Zhang J (2013). Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA. Journal of the American Medical Informatics Association, 20(e1), e2–e8. doi: 10.1136/amiajnl-2012-001458 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morse JM, & Field PA (1995). Qualitative research methods for health professionals: Sage. [Google Scholar]
- North F, Hanna BK, Crane SJ, Smith SA, Tulledge-Scheitel SM, & Stroebel RJ (2011). Patient portal doldrums: does an exam room promotional video during an office visit increase patient portal registrations and portal use? Journal of the American Medical Informatics Association, 18(Suppl 1), i24–i27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pandey A, Hasan S, Dubey D, & Sarangi S (2013). Smartphone apps as a source of cancer information: changing trends in health information-seeking behavior. Journal of Cancer Education, 28(1), 138–142. [DOI] [PubMed] [Google Scholar]
- Pelletier LR, & Stichler JF (2013). Action brief: Patient engagement and activation: A health reform imperative and improvement opportunity for nursing. Nursing Outlook, 61(1), 51–54. [DOI] [PubMed] [Google Scholar]
- Pfeifer Vardoulakis L, Karlson A, Morris D, Smith G, Gatewood J, & Tan D (2012). Using mobile phones to present medical information to hospital patients. Paper presented at the Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems. [Google Scholar]
- Prey JE, Woollen J, Wilcox L, Sackeim AD, Hripcsak G, Bakken S, … & Vawdrey DK (2014). Patient engagement in the inpatient setting: a systematic review. Journal of the American Medical Informatics Association, 21(4), 742–750. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Söderström IM, Benzein E, & Saveman BI (2003). Nurses’ experiences of interactions with family members in intensive care units. Scandinavian Journal of Caring Sciences, 17(2), 185–192. [DOI] [PubMed] [Google Scholar]
- Street RL, Liu L, Farber NJ, Chen Y, Calvitti A, Zuest D, … & Ashfaq S (2014). Provider interaction with the electronic health record: the effects on patient-centered communication in medical encounters. Patient Education and Counseling, 96(3), 315–319. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Strudwick G (2015). Predicting nurses’ use of healthcare technology using the technology acceptance model: an integrative review. Computer Informatics Nursing, 33(5), 189–198. doi: 10.1097/cin.0000000000000142 [DOI] [PubMed] [Google Scholar]
- Tang C, Carpendale S, & Scott S (2010). Infoflow framework for evaluating information flow and new health care technologies. International Journal of Human–Computer Interaction, 26(5), 477–505. [Google Scholar]
- Vawdrey DK, Wilcox LG, Collins SA, Bakken S, Feiner S, Boyer A, & Restaino SW (2011). A tablet computer application for patients to participate in their hospital care. Paper presented at the AMIA Annual Symposium Proceedings. [PMC free article] [PubMed] [Google Scholar]
- White A, & Danis M (2013). Enhancing Patient-Centered Communication and Collaboration by Using the Electronic Health Record in the Examination RoomEnhancing Patient-Centered Communication With the EHR. JAMA, 309(22), 2327–2328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wilcox L, Patel R, Chen Y, & Shachak A (2013). Human factors in computing systems: Focus on patient-centered health communication at the ACM SIGCHI conference. Patient Education and Counseling, 93(3), 532–534. doi: 10.1016/j.pec.2013.09.017 [DOI] [PubMed] [Google Scholar]
- Wong HJ, Caesar M, Bandali S, Agnew J, & Abrams H (2009). Electronic inpatient whiteboards: Improving multidisciplinary communication and coordination of care. International Journal of Medical Informatics, 78(4), 239–247. [DOI] [PubMed] [Google Scholar]
- Zhang H, Cocosila M, & Archer N (2010). Factors of adoption of mobile information technology by homecare nurses: a technology acceptance model 2 approach. Computers Informatics Nursing, 28(1), 49–56. [DOI] [PubMed] [Google Scholar]
- Zhang J, Chen Y, Ashfaq S, Bell K, Calvitti A, Farber NJ, … Rick S (2015). Strategizing EHR use to achieve patient-centered care in exam rooms: a qualitative study on primary care providers. Journal of the American Medical Informatics Association, ocv142. [DOI] [PMC free article] [PubMed] [Google Scholar]