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Chapter 9 - Clinical Documentation on the Inpatient Unit

Published online by Cambridge University Press:  05 March 2020

Michael I. Casher
Affiliation:
University of Michigan
Joshua D. Bess
Affiliation:
University of Michigan
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Summary

With the near-universal deployment of electronic health records (EHRs), the audience for clinical documentation is growing ever larger. People who might read inpatient psychiatric notes can be sorted into groups across several domains (Figure 9.1). Potential readers are clinicians (including trainees), overseers, patients, and participants in legal proceedings (discussed later) [1, 2]. The group of clinicians includes oneself, other team members, consulting colleagues, and the patient’s future providers. It also includes medical students, residents, and other trainees who are working with the patient. Overseers can include internal utilization review (UR) staff, individuals performing external UR (i.e., on behalf of third-party payers), internal quality assurance (QA) assessors, and external QA assessors (i.e., regulators and licensing agencies) [3–6].

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Publisher: Cambridge University Press
Print publication year: 2020

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References

Fauman, M. Personal communication; 2009.Google Scholar
Weaver, J. Appropriate documentation: Your first (and best) defense. ED Legal Letter May 1, 2004.Google Scholar
Fauman, M. Negotiating managed care: a manual for clinicians. Washington, DC: American Psychiatric Publishing; 2002.Google Scholar
Sharfstein, SS, Dickerson, FB. Hospital psychiatry for the twenty-first century. Health Affairs (Millwood) 2009;28(3):685–8.CrossRefGoogle ScholarPubMed
Wickizer, T, Lessler, D, Travis, K. Controlling inpatient psychiatric utilization through managed care. American Journal of Psychiatry 1996;153(3):339–45.Google Scholar
Hartzband, P, Groopman, J. Off the record – avoiding the pitfalls of going electronic. New England Journal of Medicine 2008;358(16):1656–8.Google Scholar
Cusack, CM, Hripcsak, G, Bloomrosen, M, et al. The future state of clinical data capture and documentation: a report from AMIA’s 2011 Policy Meeting. Journal of the American Medical Informatics Association 2013;20(1):134–40.CrossRefGoogle ScholarPubMed
Stetson, PD, Morrison, FP, Bakken, S, Johnson, SB. Preliminary development of the physician documentation quality instrument. Journal of the American Medical Informatics Association 2008;15(4):534–41.CrossRefGoogle ScholarPubMed
Lyons, J, Martinez, J. Medical malpractice matters: medical record. Current Surgery 2005;62(1):653–6.Google Scholar
Murphy, BJ. Principles of good medical record documentation. Journal of Medical Practice Management 2001;16(5):258–60.Google Scholar
Colicchio, TK, Cimino, JJ, Del Fiol, G. Unintended consequences of nationwide electronic health record adoption: challenges and opportunities in the post-meaningful use era. Journal of Medical Internet Research 2019;21(6):e13313.Google Scholar
Kightlinger, R. Sloppy records – the kiss of death for a malpractice defense. Medical Economics 1999;76(11):166–71.Google Scholar
Brown, PJ, Marquard, JL, Amster, B, et al. What do physicians read (and ignore) in electronic progress notes? Applied Clinical Informatics 2014;5(2):430–44.Google Scholar
Tsou, AY, Lehmann, CU, Michel, J, et al. Safe practices for copy and paste in the EHR. Applied Clinical Informatics 2017;26(1):1234.Google Scholar
Coakley, FV, Heinze, S, Shadbolt, CL, Schwartz, LH. Routine editing of trainee-generated radiology reports. Academic Radiology 2003;10(3):289–94.CrossRefGoogle ScholarPubMed
Williams, J. Style: ten lessons in clarity and grace. New York: Pearson Longman; 2005.Google Scholar
Bruer, RA, Rodway-Norman, M, Large, M. Closer to the truth: admission to multiple psychiatric facilities and an inaccurate history of hospitalization are strongly associated with inpatient suicide. Canadian Journal of Psychiatry 2018;63(11):748–56.Google Scholar
Fava, GA, Sonino, N. The biopsychosocial model thirty years later. Psychotherapy and Psychosomatics 2008;77(1):12.CrossRefGoogle ScholarPubMed
McLaren, N. Interactive dualism as a partial solution to the mind–brain problem for psychiatry. Medical Hypotheses 2006;66(6):1165–73.CrossRefGoogle Scholar
Winkler, D, Kaltenboeck, A, Frey, R, Kasper, S, Pjrek, E. Changes over time of the diagnostic and therapeutic characteristics of patients of a psychiatric intensive care unit in Austria. Comprehensive Psychiatry 2019;93:20–6.Google Scholar
Engel, GL. The need for a new medical model: a challenge for biomedicine. Science 1977;196(4286):129–36.Google Scholar
Engel, GL. From biomedical to biopsychosocial: being scientific in the human domain. Psychosomatics 1997;38(6):521–8.CrossRefGoogle ScholarPubMed
Ghaemi, SN. The rise and fall of the biopsychosocial model: reconciling art and science in Ppychiatry. Baltimore: Johns Hopkins University Press; 2010.Google Scholar
Simpson, S, Stacy, M. Avoiding the malpractice snare – documenting suicide risk assessment. Journal of Psychiatric Practice 2004;10(3):185–9.Google Scholar
Knoll, JL, IV. Lessons from litigation. Psychiatric Times 2015;32(5):41.Google Scholar
Soisson, EL, VandeCreek, L, Knapp, S. Thorough record keeping: a good defense in a litigious era. Professional Psychology: Research and Practice 1987;18(5):498502.CrossRefGoogle Scholar
Belsher, BE, Smolenski, DJ, Pruitt, LD, et al. Prediction models for suicide attempts and deaths: a systematic review and simulation. JAMA Psychiatry 2019;76(6):642–51.Google Scholar
Kyron, MJ, Hooke, GR, Page, AC. Assessing interpersonal and mood factors to predict trajectories of suicidal ideation within an inpatient setting. Journal of Affective Disorders 2019;252:315–24.Google Scholar
Obegi, JH. Probable standards of care for suicide risk assessment. Journal of the American Academy of Psychiatry and the Law Online 2017;45(4):452–9.Google Scholar
Wadden, TA., Didie, E. What’s in a name? Patients’ preferred terms for describing obesity. Obesity Research 2003;11(9):1140–6.Google Scholar
Dwyer, J, Shih, A. The ethics of tailoring the patient’s chart. Psychiatric Services 1998; 49(10):1309–12.Google Scholar

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