Appl Clin Inform 2018; 09(01): 141-148
DOI: 10.1055/s-0038-1626724
Invited Editorial
Schattauer

Best Practices for Health Informatician Involvement in Interprofessional Health Care Teams

Richard J. Holden
,
Samar Binkheder
,
Jay Patel
,
Sara Helene P. Viernes
Further Information

Address for correspondence

Richard J. Holden, PhD
Department of BioHealth Informatics
Indiana University School of Informatics and Computing–IUPUI
Walker Plaza – WK 317, 719 Indiana Avenue
Indianapolis, IN 46202
United States   

Publication History

15 November 2017

01 January 2018

Publication Date:
28 February 2018 (online)

 

Academic and nonacademic health informatics (HI) professionals (informaticians) serve on interprofessional health care teams with other professionals, such as physicians, nurses, pharmacists, dentists, and nutritionists.[1] Presently, we argue for investing greater attention to the role health informaticians play on interprofessional teams and the best practices to support this role.

The Role of Health Informaticians on Interprofessional Health Care Teams

In interprofessional health care teams, individuals with distinct professional training supply unique expertise and work together to solve health care problems.[2] [3] When these teams span different branches of knowledge or subspecialties, they are also considered interdisciplinary.[2] [4] Interprofessional teams in health care are effective because they draw on diverse expertise to address complex problems in holistic ways.[5] [6] Interprofessional teams operate in health care facilities, academic institutions, and community or public health settings.[7] In clinical settings, interprofessional teams provide less fragmented,[8] [9] higher quality,[9] [10] safer,[11] and more effective[12] [13] [14] care. Interprofessional teams are recommended by the World Health Organization[15] [16] and the National Academy of Medicine.[17] Further, educational institutions and accreditors,[18] including the Accreditation Committee for Graduate Medical Education (ACGME),[19] embrace interprofessional education (IPE), to prepare health care professionals “for the world of intercollaborative practice.”[7] In parallel, the National Institutes of Health and others urge interdisciplinary “team science” in biomedical research.[20]

Are health informaticians considered members of interprofessional teams? Our informal review of major textbooks,[21] [22] reports,[7] and articles[1] [23] [24] [25] found no mention of health informaticians as members of interprofessional health care teams. A published 2013 review described the make-up of interprofessional teams in 17 articles[26]; informaticians were not included in any (see [Supplementary Material], available in the online version). Furthermore, including HI students in IPE initiatives appears to be an exception, not the rule.[27] [28] When HI is mentioned in the literature on interprofessional health care, it is as a set of tools that “has the capacity to support the work of health care teams”[29] and improve IPE.[30]

We argue that health informaticians have a professional role on teams, apart from providing direct care.[a] This role should be better defined and communicated to other professions. When a problem involves data or information, informaticians add value by applying competencies in “management and use of biomedical information.”[31] This is evident in realms such as evidence-based health care delivery,[32] precision medicine,[33] population health management,[34] public health surveillance,[35] and learning health systems.[36] [37] Health informaticians are qualified to handle both electronic health records and larger health care data sets to answer questions, support care delivery, improve quality and efficiency, and reduce costs.[38] Examples include building or identifying databases or data sets, mining structured/unstructured data, applying computational procedures, interpreting data/results, and sharing data. In many other cases, health informaticians add value by applying competencies in “design, development, adoption, and application of information technology (IT)-based innovations.”[39] Informaticians can develop methodologies and technologies to advance team research, design tools and networks to facilitate interprofessional collaboration and communication, and develop standards and terminologies to support system interoperability.[40]

We argue health informaticians are useful members of interprofessional teams in all stages of problem-solving—problem assessment, solution development, implementation, and evaluation, as illustrated in [Table 1]. In part, this is because HI education is interdisciplinary, covering health, social, and technical domains, such as biomedical sciences, computer and data sciences, human factors and decision-making, and social and behavioral science.[41] [42] Furthermore, properly trained health informaticians gain interprofessional collaboration and leadership competencies, including leading and managing change.[41] [42] [43] This is evidenced by the inclusion of team competencies in HI accreditation and board certification requirements.[41] [44] The American Medical Informatics Association (AMIA) Accreditation Committee, for instance, lists interprofessional collaborative practice (F9) and leadership (F10) among its 10 foundational domains of HI.[41] Health informaticians can thus play the role of visionary, innovator, bridge, facilitator, and evangelist on interprofessional teams.[8] In our experience, one of the most important though undervalued roles informaticians play on teams is the figurative multilinguistic (symphonic) conductor. This entails sufficiently learning each team member's discipline- or profession-specific values, norms, practices, vocabularies, theories, and methods to coordinate and translate between dissimilar members.

Table 1

Example medication safety project with and without health informatician involvement

Project phase

Health informatician involved

No involvement of health informatician

Situation assessment

• Data obtained from health system used to assess the situation

• Simulation and predictive models built to identify most prevalent unsafe medications

• Interviews, surveys, and observations performed to learn patient and clinician information needs and decision-making process

• Key data missing from problem assessment

• Could not prioritize or focus on specific medications

• Clinical priorities emphasized, patient information needs ignored

• Incorrect assumptions made about how individuals make decisions

Solution development

• Solution includes patient- and clinician-facing software changes

• Solution applies rules to target most prevalent unsafe medications

• Decision support solution created using user-centered design and iterative testing

• Solution is interoperable

• Software not part of the solution

• Targeting too many medications leads to untenable solution

• Solution does not conform with usability principles, is not usable or acceptable to end-users

• Solution does not work with existing software and technical infrastructure

Implementation and evaluation

• Intervention deployed and tracked in health system's EHR system

• Medication data mined from EHR, compared pre–post intervention at individual and group levels

• Informatician presents technical and business plans to leadership

• Key organizational and political constraints successfully navigated

• Intervention cannot be deployed to all EHR system users

• Data not available to perform objective pre–post evaluation

• Contradictory technical and business plans written by different individuals

• Failure to consider social (organizational/political) aspects results in unanticipated resistance

Abbreviation: EHR, electronic health records.


A question facing HI and other disciplines is whether teams must include a formally trained HI professional, rather than someone possessing informatics competencies. The answer depends on access to health informaticians, availability of HI training available to noninformaticians, and the ability of the team to cover the breadth of relevant HI competencies described above. For example, a team should not replace a health informatician with a software engineer unfamiliar with the health care domain.


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Best Practices for Health Informatician Involvement in Interprofessional Teams

Having argued for the need to recognize and define the role of health informaticians on interprofessional teams, we now turn to best practices for optimizing this role ([Table 2]). Our seven suggested best practices were compiled from the literature and our experience with interprofessional collaboration and education. We also illustrate how each best practice was applied in a project addressing the opioid crisis in a university-based IPE course involving students and faculty coaches representing HI, nursing, medicine, art and design, and engineering (see [Table 3]). The best practices and recommendations apply to HI students, certified clinical informaticians, HI researchers, and other HI professionals.

Table 2

Best practices for health informatician involvement in interprofessional teams

BP Recommendations

BP1. Adopt the characteristics of effective teams

• Clear vision and goals[43] [45]

• Mutual respect and shared values[7] [41]

• Supportive climate[45]

• Diverse skill mix across team members[45]

• Clear roles and boundaries for each member[43] [46] [47]

• Continuous learning and training[45] [48]

• Formal process for conflict management[49] [50]

• Practice performance monitoring and feedback, back-up behavior, and adaptation[51] [52]

BP2. Practice leadership and followership

• Clearly identify a leader to direct, support, and supervise the team[45]

• Leaders should be appointed or quickly emerge[53]

• The leader should be credible, honest, competent, able to inspire, and able to focus the team on the vision[41]

• The team must understand the importance and roles of leadership in coordinating the team's contributions[54] and achieving its goals[41]

• Team members should practice good followership[41]

• Use leadership tools, for example, for planning and performance review[50]

• A team leader establishes a shared belief in the value of collaboration[55]

• Leaders focus, coordinate, and create shared mental models for the team[53]

BP3. Clearly communicate with the aid of tools

• Communication success begins with shared understanding, mutual respect, and agreed-upon ground rules[7] [41]

• Use informatics knowledge to establish effective communication technology and tools[55]

• Use communication tools[50] such as SBAR,[56] Call-Out, Check-Back, and Hand-off

• Err on the side of over- rather than under-communication, for example, making sure to include all recipients on e-mails

• Create artifacts to summarize and organize information for shared situation awareness and future reference (e.g., meeting notes, project charters, Gantt charts)

BP4. Design team meetings for effectiveness and efficiency

• Good meetings are a result of careful planning, attention to participants' needs, and follow-through[57]

• Use early meetings to establish the team's purpose, goals, members' roles and responsibilities, meeting and reporting plan, deliverables, and timetable[43]

• Adopt a team meeting framework and recommendations (see Schleyer et al[43] for detail)

• If possible, organize in-person meetings[55]

BP5. Articulate your skills with respect to health informatics

• Explain to teammates the breadth of HI

• Explain to teammates the specialization(s) within HI represented by HI team members

• Act politely and be forgiving when a team member has incorrect assumptions or perceptions of your skills: offer gentle corrections with the goal of educating and enhancing your effectiveness and efficiency in the team

• Inform team members of data needs early in the project lifecycle, to facilitate future access to health care data[58]

• Ensure team members' understanding and use of proper terminology and techniques related to health data[58]

BP6. Develop skills and knowledge in interprofessional teamwork and domains

• Understand roles and values of all team members[7] [41] [45]

• Interact with and learn from other professions, being attentive to their languages and practices[59]

• Seek out interprofessional collaboration and cross-training opportunities before graduation[60]

• Establish interprofessional collaborative practice culture and team (not individual) reward systems[30]

• Work to improve team skills such as self-assessment of strengths and weakness, listening, and managing shared goals, in addition to gaining domain knowledge[62]

BP7. Ensure health informatics education supports interprofessional collaboration

• Align HI professional education with above best practices[47]

• Offer opportunities for hands-on health care problem solving in interprofessional teams, using interdisciplinary informatics approaches, with faculty feedback and support[48] [50]

• Faculty should provide interprofessional opportunities, feedback, and support[48] [50] as well as themselves come from different disciplines[61]

• Use simulation-based training with real-world scenarios to train HI students for work environment[48]

• Partner with campus IPE programs

Abbreviations: BP, best practice; HI, health informatics; IPE, interprofessional education.


Table 3

Illustration of how the seven recommended best practices were applied in a university-based interprofessional education course involving students and faculty coaches representing health informatics, nursing, medicine, art and design, and engineering

BP1. Adopt the characteristics of effective teams

  ○ Faculty divided teams to promote diverse mix of professions and skills

  ○ Team leader brought team to early consensus on project scope

BP2. Practice leadership and followership

  ○ Leader emerged in the first week, with team consensus and faculty coach approval

  ○ Team leader created the plan, assigned roles and tasks, and held team members accountable

  ○ Leader communicated with outside stakeholders on behalf of the team

BP3. Clearly communicate with the aid of tools

  ○ Teams had regular scheduled meetings face-to-face or using online conferencing system; face-to-face meetings were most effective but more difficult to achieve

  ○ Teams used online cloud-based storage, for viewing progress and team documents

BP4. Design team meetings for effectiveness and efficiency

  ○ Team members agreed to and held each other accountable for regular, in-person meetings of the entire team

  ○ Team used meetings for updates on progress and updating the plan

  ○ Team used resources such as white boards and note-taking to support meetings

BP5. Articulate your skills with respect to health informatics

  ○ HI team members corrected team members' assumptions when asked to play a role outside their HI specialty

  ○ HI team members provided team mates with an explanation of HI breadth and their specific skill/knowledge areas

  ○ HI team members tackled barriers to acquiring data from stakeholders to assess the situation or test an informatics solution

BP6. Develop skills and knowledge in interprofessional teamwork and domains

  ○ HI team members spent extra time learning about the practices and assumptions of teammates' professions

  ○ HI team members had to learn professional and clinical jargon

  ○ HI team members had to learn the realities of health care delivery, which clinical teammates had gained through hands-on experience

BP7. Ensure health informatics education supports interprofessional collaboration

  ○ The IPE course allowed HI students to work with students representing other professions

  ○ HI students received coaching and education in interprofessionalism, teamwork, and problem solving

  ○ Diverse faculty, guest judges, and community stakeholders representing multiple professions and disciplines provided a guided learning experience

Abbreviation: BP, best practice.


Note: See [Supplementary Material] for details about the interprofessional education course.


Best Practice #1Adopt the Characteristics of Effective Teams

There are multiple evidence-based accounts of the characteristics of effective teams and how to achieve them,[48] [63] [64] listed in [Table 2]. Successful teams set goals, monitor each others' performance, balance workload between team members, and adapt to deviations.[52] [65] Health informaticians can make teams more effective by increasing the team's skill mix and setting clear expectations for their roles and duties relative to their skills.[43] For instance, a health informatician could take the responsibility for data analysis or management tasks.


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Best Practice Implication #2—Practice Leadership and Followership

According to the AMIA's HI core competencies, leadership refers to the “process for which the output is vision, guidance, and direction.”[41] Leadership facilitates action, in addition to supporting team psychosocial needs, such as morale, motivation, and confidence.[51] In interprofessional teams, leaders must instill the belief that collaboration adds value.[55] Likewise, a health informatician leader must convince the team of the value and applicability of HI. Leaders often hold others accountable and represent the team to outside stakeholders, meaning HI professionals must learn to interact with decision-makers who are noninformaticians (e.g., avoiding or explaining informatics jargon). HI competencies also dictate practicing followership and supporting leaders from other professions.[41] Although traditionally there is one leader, there is theoretical and practical guidance for shared or distributed leadership approaches.[66] [67] Shared leadership may be relevant when the health informatician is in charge of methodological aspects but a clinical professional provides clinical leadership.


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Best Practice #3—Clearly Communicate with the Aid of Tools

HI professionals should be skilled in applying the “principles of interprofessional communication in a responsive and responsible manner that supports a team approach.”[41] Good communication starts with a common language and shared understanding, which means health informaticians need to learn and respect their teammates' language and professional identities,[55] while carefully selecting which informatics terms and concepts to introduce. Early on, communication can be aided by creating artifacts, such as team charters or social contracts, which explicitly establish expectations for communication, including frequency, method, and what constitutes timely and respectful responses. As team projects move forward, other tools and artifacts become more useful, for example, hand-off procedures, stable communication channels (e.g., mailing lists, chat rooms), and storage space for team documents (e.g., meeting minutes). A health informatician may need to advise on appropriate communication technologies, especially when the communication concerns sensitive patient data, large data sets, or the use of clinical information systems (e.g., internal messaging).


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Best Practice #4—Design Team Meetings for Effectiveness and Efficiency

Despite their bad reputation, team meetings can yield irreplaceable benefits with careful planning, attention to participants' needs, and follow-through.[57] In the beginning, well-designed meetings help establish the team's purpose, membership, structure, process, and resources. They are also an opportunity to learn the value of each team member, beyond their professional titles. This is especially important when the team has vague or incorrect knowledge of the HI profession. During the course of project work, meetings provide a forum for reporting progress, planning and replanning, resolving conflict, team brainstorming and feedback, and relationship building. Schleyer et al[43] provide a framework and specific guidance for effective and efficient team meetings for HI professionals, covering topics such as in-person versus electronic meetings, meeting space and technology, the use of agendas and meeting minutes, and meeting procedures.


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Best Practice #5—Articulate Your Skills with Respect to Health Informatics

HI is itself interdisciplinary, producing professionals with differing subspecializations and roles.[68] Members of interprofessional health care teams are already dissimilar,[46] [47] but health informaticians have an added burden of representing a profession lesser known within the health care community. Specifically, HI has wide-ranging meanings,[69] so team members may have a restricted understanding of their health informatician teammates, leading to misaligned expectations. For example, an informatician may be viewed as a “data person” or “technology person”; these are true of some, but not all. A team member might also have an erroneous understanding of HI, for example, believing informaticians merely provide “programming” or “tech support.”[b] The breadth of HI has two implications for interprofessional teamwork. First, an HI professional must be ready to articulate the full extent of HI, for the education of teammates, and the good of the profession. Second, the HI professional must define their personal training, experience, and specialization(s) on the continuum of HI competencies. (Similar considerations apply to working on intraprofessional HI teams.)

A corollary best practice is once the team understands the HI team member's skills, there is an additional challenge of assigning and supporting an appropriate role for him or her. This is facilitated by, for example, the ubiquity of information and IT in health care. However, in our experience, many HI contributions require access to data, and data may not be readily accessible to or understood by the interprofessional team. This may be especially common in limited-resource or educational settings, prohibiting the HI team member from exercising their competencies in data analytics, modeling, and mining.[41] [70] Health informaticians are therefore advised to secure as early as possible the resources they need to play their role on the team.


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Best Practice #6—Develop Skills and Knowledge in Interprofessional Teamwork and Domains

At the same time, HI professionals need to understand and respect other professions, facilitated by IPE and other interprofessional interactions.[41] [71] Another avenue of learning outside the HI profession is cross-training, which can range from experiential learning in “real-world” contexts to reading about outside disciplines.[33] [72] This is especially important for those health informaticians who have limited clinical exposure or prior training, and need to work with professionals who have accumulated clinical experience, vocabularies, and assumptions over such a long time that it is implicit (i.e., learned intuition). Health informaticians must therefore learn not only HI skills, but also teamwork and at least the basics of other professions.[59] Similarly, they must find ways to become knowledgeable in their application domains (e.g., pediatrics, decision-making, artificial intelligence), as must their teammates. These recommendations can be addressed in part by involving HI students in IPE offerings.


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Best Practice #7—Ensure Health Informatics Education Supports Interprofessional Collaboration

Ensuring HI students are trained in interprofessional collaboration is a natural extension of the preceding best practices and aligned with HI core competencies and foundations.[41] [73] HI education should engage students to collaborate with other professionals, solve “real-world” health care challenges, and apply interdisciplinary methodologies.[74] HI programs should strive for both integration with other campus IPE initiatives and creation of living laboratories for hands-on application of HI competencies.[33]


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Conclusion

The evolution of health care systems encourages—even requires—involving HI expertise in interprofessional health care teams and real-world problem solving. Our present objective is to heighten interest in defining and improving health informatician involvement in interprofessional teams. We encourage others in the discipline to join the conversation, including scientifically validating and applying the above best practices and contributing their own.


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Multiple Choice Questions

  1. Which of the following statements is the most accurate?

    • Health informaticists add value to interprofessional health care teams, and are always considered members of these teams

    • Health informaticists add value to interprofessional health care teams, but are rarely considered members of these teams

    • Health informaticists do not add value to interprofessional health care teams, and are rarely considered members of these teams

    • Health informaticists do not add value to interprofessional health care teams, unless they are the team leader

      Correct Answer: The correct answer is option b, health informaticists add value to interprofessional health care teams, but are rarely considered members of these teams.

  2. To be effective as an interprofessional team member, what should a health informatics professional do?

    • Avoid learning the terminologies used by noninformatician team members.

    • Refuse to offer advice on which communication tools to use because it is beneath them.

    • Privately select their own goals and work on only these.

    • Take courses in which they practice working with other professions to solve real-world problems.

      Correct Answer: The correct answer is option d, take courses in which they practice working with other professions to solve real-world problems.


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Conflict of Interest

None.

Acknowledgments

We thank the participants in the Indiana University interprofessional education course, particularly the students, faculty, guest judges, and community stakeholders. We thank Dr. Julie Poore and Dr. Josette Jones for their review of the manuscript and the journal editor and reviewers for their comments. We thank Dr. Malaz Boustani, who originated the concept of the multilinguistic conductor.

Authors' Contributions

All authors (R.J.H., S.B., J.P., S.H.P.V.) contributed to conception, design, drafting, and critical revision.


Protection of Human and Animal Subjects

No human subjects were involved.


a We note some informaticians do provide direct care as trained and licensed physicians, nurses, dentists, pharmacists, therapists, social workers, midwives, etc. Further, as the scope of health professionalism changes, some informaticians who practice in public health, care coordination, or wellness coaching may be thought to provide care. However, our main point is a team member in the domains of health and healthcare can impart value without providing direct care.


b We admit to a mix of amusement and frustration when looked upon as experts at setting up teleconferencing or navigating file storage systems; this is especially so when we are indeed the best on the team at these technical tasks.


Supplementary Material

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  • 51 Salas E, Burke CS, Cannon-Bowers JA. Teamwork: emerging principles. Int J Manag Rev 2000; 2 (04) 339-356
  • 52 Salas E, Sims DE, Burke CS. Is there a “big five” in teamwork?. Small Group Res 2005; 36 (05) 555-599
  • 53 De Souza G, Klein HJ. Emergent leadership in the group goal-setting process. Small Group Res 1995; 26 (04) 475-496
  • 54 Piwowar HA, Becich MJ, Bilofsky H, Crowley RS. ; caBIG Data Sharing and Intellectual Capital Workspace. Towards a data sharing culture: recommendations for leadership from academic health centers. PLoS Med 2008; 5 (09) e183
  • 55 CFAR, Inc., Tomasik J, Fleming C. Lessons from the Field: Promising Interprofessional Collaboration Practices. Princeton, NJ: Robert Wood Johnson Foundation (RWJF); 2015
  • 56 Boaro N, Fancott C, Baker R, Velji K, Andreoli A. Using SBAR to improve communication in interprofessional rehabilitation teams. J Interprof Care 2010; 24 (01) 111-114
  • 57 Caroselli M. Meetings that Work. Revised ed. Mission, KS: Skillpath Publications; 1995
  • 58 Safran C, Bloomrosen M, Hammond WE. , et al; Expert Panel. Toward a national framework for the secondary use of health data: an American Medical Informatics Association White Paper. J Am Med Inform Assoc 2007; 14 (01) 1-9
  • 59 Sargeant J, Loney E, Murphy G. Effective interprofessional teams: “contact is not enough” to build a team. J Contin Educ Health Prof 2008; 28 (04) 228-234
  • 60 Masters C, Baker VOT, Jodon H. Multidisciplinary, team-based learning: the simulated interdisciplinary to multidisciplinary progressive-level education (SIMPLE©) approach. Clin Simul Nurs 2013; 9 (05) e171-e178
  • 61 Bridges DR, Davidson RA, Odegard PS, Maki IV, Tomkowiak J. . Interprofessional collaboration. Interprofessional collaboration: three best practice models of interprofessional education. Med Educ Online 2011; 16: 16
  • 62 Melton GB, Parsons S, Morrison FP, Rothschild AS, Markatou M, Hripcsak G. Inter-patient distance metrics using SNOMED CT defining relationships. J Biomed Inform 2006; 39 (06) 697-705
  • 63 Mickan S, Rodger S. Characteristics of effective teams: a literature review. Aust Health Rev 2000; 23 (03) 201-208
  • 64 Cannon-Bowers JA, Tannenbaum SI, Salas E, Volpe CE. Defining competencies and establishing team training requirements. In: Guzzo RA, Salas E. , eds. Team Effectiveness and Decision Making in Organizations. San Francisco: Jossey Bass; 1995: 333-380
  • 65 Zaccaro SJ, Rittman AL, Marks MA. Team leadership. Leadersh Q 2001; 12 (04) 451-483
  • 66 Day DV, Gronn P, Salas E. Leadership capacity in teams. Leadersh Q 2004; 15 (06) 857-880
  • 67 Dinh JE, Lord RG, Gardner WL, Meuser JD, Liden RC, Hu J. Leadership theory and research in the new millennium: current theoretical trends and changing perspectives. Leadersh Q 2014; 25 (01) 36-62
  • 68 Nelson R, Staggers N. Foundational information in health informatics. In: Nelson R, Staggers N. , eds. Health Informatics: An Interprofessional Approach. 2nd ed. St. Louis, MO: Elsevier; 2016: 1-75
  • 69 Maojo V, Kulikowski CA. Note on Friedman's ‘what informatics is and isn’t'. J Am Med Inform Assoc 2013; 20 (e2): e365-e366
  • 70 Kulikowski CA, Shortliffe EH, Currie LM. , et al. AMIA Board white paper: definition of biomedical informatics and specification of core competencies for graduate education in the discipline. J Am Med Inform Assoc 2012; 19 (06) 931-938
  • 71 van Mulligen EM, Cases M, Hettne K. , et al. Training multidisciplinary biomedical informatics students: three years of experience. J Am Med Inform Assoc 2008; 15 (02) 246-254
  • 72 Friedman CP. What informatics is and isn't. J Am Med Inform Assoc 2013; 20 (02) 224-226
  • 73 Gadd CS, Williamson JJ, Steen EB, Fridsma DB. Creating advanced health informatics certification. J Am Med Inform Assoc 2016; 23 (04) 848-850
  • 74 Khairat S, Sandefer R, Marc D, Pyles L. A review of biomedical and health informatics education: a workforce training framework. J Hosp Adm 2016; 5 (05) 10-20

Address for correspondence

Richard J. Holden, PhD
Department of BioHealth Informatics
Indiana University School of Informatics and Computing–IUPUI
Walker Plaza – WK 317, 719 Indiana Avenue
Indianapolis, IN 46202
United States   

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  • 52 Salas E, Sims DE, Burke CS. Is there a “big five” in teamwork?. Small Group Res 2005; 36 (05) 555-599
  • 53 De Souza G, Klein HJ. Emergent leadership in the group goal-setting process. Small Group Res 1995; 26 (04) 475-496
  • 54 Piwowar HA, Becich MJ, Bilofsky H, Crowley RS. ; caBIG Data Sharing and Intellectual Capital Workspace. Towards a data sharing culture: recommendations for leadership from academic health centers. PLoS Med 2008; 5 (09) e183
  • 55 CFAR, Inc., Tomasik J, Fleming C. Lessons from the Field: Promising Interprofessional Collaboration Practices. Princeton, NJ: Robert Wood Johnson Foundation (RWJF); 2015
  • 56 Boaro N, Fancott C, Baker R, Velji K, Andreoli A. Using SBAR to improve communication in interprofessional rehabilitation teams. J Interprof Care 2010; 24 (01) 111-114
  • 57 Caroselli M. Meetings that Work. Revised ed. Mission, KS: Skillpath Publications; 1995
  • 58 Safran C, Bloomrosen M, Hammond WE. , et al; Expert Panel. Toward a national framework for the secondary use of health data: an American Medical Informatics Association White Paper. J Am Med Inform Assoc 2007; 14 (01) 1-9
  • 59 Sargeant J, Loney E, Murphy G. Effective interprofessional teams: “contact is not enough” to build a team. J Contin Educ Health Prof 2008; 28 (04) 228-234
  • 60 Masters C, Baker VOT, Jodon H. Multidisciplinary, team-based learning: the simulated interdisciplinary to multidisciplinary progressive-level education (SIMPLE©) approach. Clin Simul Nurs 2013; 9 (05) e171-e178
  • 61 Bridges DR, Davidson RA, Odegard PS, Maki IV, Tomkowiak J. . Interprofessional collaboration. Interprofessional collaboration: three best practice models of interprofessional education. Med Educ Online 2011; 16: 16
  • 62 Melton GB, Parsons S, Morrison FP, Rothschild AS, Markatou M, Hripcsak G. Inter-patient distance metrics using SNOMED CT defining relationships. J Biomed Inform 2006; 39 (06) 697-705
  • 63 Mickan S, Rodger S. Characteristics of effective teams: a literature review. Aust Health Rev 2000; 23 (03) 201-208
  • 64 Cannon-Bowers JA, Tannenbaum SI, Salas E, Volpe CE. Defining competencies and establishing team training requirements. In: Guzzo RA, Salas E. , eds. Team Effectiveness and Decision Making in Organizations. San Francisco: Jossey Bass; 1995: 333-380
  • 65 Zaccaro SJ, Rittman AL, Marks MA. Team leadership. Leadersh Q 2001; 12 (04) 451-483
  • 66 Day DV, Gronn P, Salas E. Leadership capacity in teams. Leadersh Q 2004; 15 (06) 857-880
  • 67 Dinh JE, Lord RG, Gardner WL, Meuser JD, Liden RC, Hu J. Leadership theory and research in the new millennium: current theoretical trends and changing perspectives. Leadersh Q 2014; 25 (01) 36-62
  • 68 Nelson R, Staggers N. Foundational information in health informatics. In: Nelson R, Staggers N. , eds. Health Informatics: An Interprofessional Approach. 2nd ed. St. Louis, MO: Elsevier; 2016: 1-75
  • 69 Maojo V, Kulikowski CA. Note on Friedman's ‘what informatics is and isn’t'. J Am Med Inform Assoc 2013; 20 (e2): e365-e366
  • 70 Kulikowski CA, Shortliffe EH, Currie LM. , et al. AMIA Board white paper: definition of biomedical informatics and specification of core competencies for graduate education in the discipline. J Am Med Inform Assoc 2012; 19 (06) 931-938
  • 71 van Mulligen EM, Cases M, Hettne K. , et al. Training multidisciplinary biomedical informatics students: three years of experience. J Am Med Inform Assoc 2008; 15 (02) 246-254
  • 72 Friedman CP. What informatics is and isn't. J Am Med Inform Assoc 2013; 20 (02) 224-226
  • 73 Gadd CS, Williamson JJ, Steen EB, Fridsma DB. Creating advanced health informatics certification. J Am Med Inform Assoc 2016; 23 (04) 848-850
  • 74 Khairat S, Sandefer R, Marc D, Pyles L. A review of biomedical and health informatics education: a workforce training framework. J Hosp Adm 2016; 5 (05) 10-20