Добавил:
kiopkiopkiop18@yandex.ru t.me/Prokururor I Вовсе не секретарь, но почту проверяю Опубликованный материал нарушает ваши авторские права? Сообщите нам.
Вуз: Предмет: Файл:
Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_5537_Библиотеки_им_академика_М_И_Перельмана.pdf
Скачиваний:
0
Добавлен:
31.08.2026
Размер:
22 Мб
Скачать
desires for high quality care in the hospital. When designed or implemented improperly, HIT can frustrate providers and potentially harm patients. Nevertheless, the true potential of HIT has yet to be realized. Hospitalists are ideally positioned to lead efforts to implement and improve systems with a vision of delivering safe, efficient, reliable and quality healthcare.
Health informatics involves understanding and promoting the effective
organization, analysis, management and use of information in healthcare.
1
Health informatics tools include not only hardware, software, networks and devices, but also clinical guidelines, medical terminologies, informa­tion and communication systems as well as methods required to optimize information acquisition, storage, retrieval and use. Hospitalists should pos­sess a fundamental understanding of health informatics that goes beyond simply using the technology. This chapter provides an introduction to the field of health informatics as it pertains to hospital medicine.
Drivers for Health Information Technology
HIT is increasingly viewed as the most promising tool for improving the quality, safety and efficiency of our health care delivery system.
2
Broad
and consistent utilization of effective HIT can:
Prevent medical errors
Reduce healthcare costs
Improve healthcare quality
Improve administrative efficiency
Improve utilization of evidenced-based practices
Expand access to affordable care
However, HIT is not a panacea and users must be aware of unintended consequences.
3
Beyond well publicized cost and privacy issues, HIT adoption has been
slow primarily because HIT products and applications are difficult to imple­ment and use effectively. Moreover, because healthcare delivery is highly complex, developing ideal informatics solutions has proven to be challenging
114
A.K. Dalal and K. Rogers
and costly as a consequence of individual variations among providers and hospitals, incomplete evidence of benefit, and many undefined processes. Nevertheless, to meet clinical needs, HIT must surpass the sophistication of information technology in other industries.
The ARRA and the HITECH Act of 2010 established HIT adoption as
a major national initiative in the United States. Currently, hospitals are working towards “meaningful use of a certified EHR” and will likely engage hospitalists to achieve this goal. The federal government estab­lished objectives for “meaningful use” of certified EHRs and will provide payment incentives to physicians, clinics, and hospitals who realize sig­nificant improvements in care through effective use of the EHR. Core objectives include utilization of essential features (e.g. entry of basic demographic and medical data) and functions that improve the safety, quality, and efficiency of care (e.g. computerized physician order entry (CPOE), clinical decision support, and quality measure reporting).
4
On an individual provider level, the ABIM now requires an understanding of “meaningful use” in its Maintenance of Certification (MOC) evaluations.

The Electronic Health Record

The Electronic Health Record (EHR) is defined as “a longitudinal elec­tronic record of patient health information generated by one or more encounters in any care delivery setting.”
5
The EHR is the primary HIT tool used by hospitalists. Its functionality extends beyond point-of-care applications by integrating clinical, administrative, financial, and increas­ingly, quality and population health functions.
Most EHR systems were initially developed to facilitate administra­tive functions such as registration, billing, coding and scheduling. Clinical functions, such as storing and retrieving clinical data, were added over time. These functions now include other aspects of data management such as picture archiving and communication software (PACS), documenta­tion, and analysis of trends in care. Although sharing of patient informa­tion is currently limited across different EHR platforms, interoperability will facilitate point-of-care access for clinicians caring for patients across
115
Health Informatics for Hospitalists
hospitals and healthcare networks, thereby reducing redundancy and costs.
Sophisticated EHR systems can integrate almost every aspect of patient care and are becoming an essential part of the healthcare delivery process. EHRs provide clinicians with tools for robust results and data viewing, medication management, communication, CPOE and CDS. Adoption of these advanced tools has been markedly low: Less than 10% of hospitals utilize CPOE and less than 1% of hospitals have achieved high levels of adoption per Health Level 7.
6
The EHR’s potential for aggregating and sharing data will provide nationwide access to de-identified patient data for population health analysis. Although enhancing patient care and monitoring quality are the primary drivers for promoting interoperability of EHRs, an interconnected health information network will also facilitate real-time disease detection, epidemiological surveillance, drug resistance monitoring, and sophisti­cated outcomes and comparative effectiveness research.
Clinical Decision Support (CDS)
Evidenced-based CDS is one of the most valuable features of the EHR. CDS encompasses a wide variety of tools and interventions that aid in ther­apeutic and diagnostic decision making. Well-designed CDS is integrated within daily workflow and facilitates evidence-based care. Examples of CDS extend far beyond unsolicited alerts (e.g. drug–drug interaction) and include order sets promoting best practices, documentation templates help­ing with diagnosis, data displays showing real-time patient parameters, and dashboards showing quality outcomes. (See Table 1.)
To be successful, CDS tools should follow the “CDS 5 Rights”: Provide the right information (pertinent evidenced-based guidelines) to the right person, in the right format (i.e. an alert, order set, reference info-button), through the right channel (i.e. the clinical information system, Internet, mobile-device), at the right time (i.e. the time in the workflow when action is needed).
7
Speed, delivery, and integration within clinical work-flow can
have a tremendous impact on user acceptance. Understanding the patterns
116
A.K. Dalal and K. Rogers
of physician resistance, providing simple interventions, monitoring impact, requesting feedback, and maintaining the knowledge-based system are key strategies for managing clinical decision support systems.
8
The Risks and Benefits of HIT
To effectively advocate for EHRs that enhance patient safety and quality of care, hospitalists should understand the risks and benefits of EHR systems. When implemented and used effectively, HIT can facilitate safe and efficient delivery of care. This has been convincingly shown for CPOE with CDS and medication management. When developed, implemented and locally adapted at institutions with adequate infrastructure support, CPOE with CDS can reduce the rate of serious medication errors by 55% and all medication errors by 88%.
9,10
However, a report showed that 33% of fatal medication errors were
still missed by CPOE systems,
11
demonstrating an ongoing need to optimize the configuration of existing systems. It has been estimated that CPOE could prevent 3 million adverse drug events each year in non-rural hospitals.
12
Much
117
Health Informatics for Hospitalists
Table 1. Examples of CDS Interventions
A. CDS during data-entry tasks
1. Smart documentation forms
2. Order sets, care plans and protocols
3. Parameter guidance
4. Critiques and warning — “immediate alerts”
B. CDS during data-review tasks
5. Relevant data summaries (single-patient)
6. Multi-patient monitors
7. Predictive and retrospective analytics
C. CDS during assessment and understanding tasks
8. Filtered reference information and knowledge resources
9. Expert workup and management advisors
D. CDS not triggered by a user task
10. Event-driven alerts (data-triggered) and reminders (time-triggered)
Reprinted with permission from Osheroff J, et al. (2012) Improving Outcomes with Clinical Decision Support: An Implementers Guide, 2nd ed. HIMSS: Chicago.
of medication error reduction has been attributed to CDS systems that provide alerts for drug interactions and drug allergies at the time of order entry.
In recent years, electronic medication reconciliation applications and bar-coding electronic medication administration systems have demon­strated a reduction of medication errors and potential adverse drug events.
13–15
HIT has the potential to impact other areas as well. For exam­ple, automated test result alerting systems have been shown to reduce the time until appropriate treatments are ordered for patients with critical laboratory results.
16
Computerized test result management applications may improve the coordinated hand-off of the results of tests pending at discharge. Although few studies have rigorously evaluated the impact of HIT on sign-outs, discharge modules, and diagnosis errors to date, HIT holds much promise in these areas.
Implementing or adopting HIT may have many untoward and unan­ticipated effects (Table 2). Some studies of CPOE implementations have demonstrated problems with organizational adaptation and change,
17
speed of order entry, alert fatigue, increased medication error risk,18and an increase in mortality.
19
It is important to recognize that errors may occur with either the design or local implementation of a system; both aspects must be considered to ensure safe and effective adoption.
Roles for Hospitalists in Health Informatics
Hospitalists are ideal candidates for certain hospital-based informatics roles and are naturally poised for advancement in these areas. Examples of typical roles include:
A physician champion that works with the informatics department to
develop order sets,
A participating member on IT-oriented committees (e.g. pharmacy
and therapeutics, EHR, CPOE committees, etc.),
A physician liaison to the Chief Medical Information Officer (CMIO).
Training in quality improvement and acquisition of management
skills are important in such roles. Increasingly, a number of professional
118
A.K. Dalal and K. Rogers
119
Health Informatics for Hospitalists
Table 2. Unintended Consequences of HIT
20
Unintended Consequence (UC) Description
More/New work issues Physicians find that CPOE adds to their workload
by forcing them to enter required information, respond to alerts, deal with multiple passwords, and expend extra time.
Workflow issues Many UCs result from mismatches between the
clinical information systems (CIS) and workflow, including issues related to process, policy/procedure, human-computer interaction, clinical personnel, and situation awareness.
Never-ending demands Because CPOE requires hardware technically
advanced enough to support the clinical software, there is a continuous need for new hardware, more space in which to put this hardware, and more space on the screen to display information. In addition, maintenance of the knowledge base for decision support and training demands are ongoing requirements.
Paper persistence It has long been hoped that CIS will reduce the
amount of paper used to communicate and store information, but that is not necessarily the case since it is useful as a temporary display interface.
Communication issues The CIS changes communication patterns among
care providers and departments, creating an “illusion of communication.” A user may feel that the right person will see and act on information appropriately because the information was sent electronically.
(Continued)
societies are providing this training, including the Health Information Management Systems Society, the American Medical Informatics Association, the Association of Medical Director of Information Systems, and the American College of Physician Executives.
Even without formal informatics training, hospitalists should learn to
navigate their local EHR system and know their institution’s organizational
structure. Because they are well-positioned to recognize potential errors and identify needed enhancements in their institution’s existing EHR, they should possess a basic understanding of how such systems operate and how to provide feedback and suggestions for improvement. As per Berwick’s “Soldiers of Quality,” hospitalists are one of the last lines of defense for patients. As such, hospitalists should be vocal advocates for improved HIT tools to provide efficient, high quality care.

Conclusion

The field of health informatics is in its infancy and in the future we will look back at current conditions as untenable. Advancement will require not
120
A.K. Dalal and K. Rogers
Table 2. (Continued )
Unintended Consequence (UC) Description
Emotions CIS causes intense emotions in users, many
which are negative and often result in reduced efficacy of system use initially.
New kinds of errors CPOE generates new kinds of errors. For example,
juxtaposition errors occur when clinicians click on the adjacent patient name or medication from a list and inadvertently enter the wrong order.
Changes in the power The presence of a system that enforces specific
structure clinical practices through mandatory data
entry fields may change the power structure of organizations. Often the power or autonomy
of physicians is reduced in an effort to standardize, while the power of the nursing staff, information technology specialists, and administration is increased.
Over-dependence on As hospitals become more dependent on CIS,
technology system failures can spread havoc when paper
backup systems are not readily available.
Adapted with permission from Ash, Sitting et al. (2009) The unintended consequences of computerized provider order entry: Findings from a moved methods exploration. Int J Meth Inform 78(Suppl1): S69–S76.
only significant improvement in HIT design and implementation strategies, but also active involvement by the users of these technologies. Hospitalists will play a vital role at the local and national levels to ensure that HIT achieves its potential to revolutionize the quality and safety of healthcare.

References

1. About Informatics|AMIA <https://www.amia.org/informatics>. Accessed 9/20/2010.
2. Chaudhry B, Wang J, Wu S, et al. (2006) Systematic review: Impact of health information technology on quality, efficiency and costs of medical care. Ann Intern Med 144(10): 742–752.
3. Ash JS, Berg M, Coiera E. (2004) Some unintended consequences of information technology in health care: The nature of patient care infor­mation system-related errors. J Am Med Inform Assoc 11(2): 104–112.
4. Blumenthal D, Tavenner M. (2010) The “meaningful use” regulation for electronic health records. N Engl J Med 363(6): 501–504.
5. HIMSS — Electronic Health Record (EHR) <http://www.himss.org/ ASP/topics_ehr.asp>. Accessed 9/20/2010.
6. The Leapfrog Group. New CPOE Evaluation Tool Results Report. <http://www.leapfroggroup.org/media/file/NewCPOEEvaluationTool ResultsReport.pdf>. Accessed 9/29/2010.
7. Osheroff JA, Teich JM, Middleton B, et al. (2007) A roadmap for national action on clinical decision support. J Am Med Inform Assoc 14(2): 141–145.
8. Bates DW, Kuperman GJ, Wang S, et al. (2003) Ten commandments for effective clinical decision support: Making the practice of evidence­based medicine a reality. J Am Med Inform Assoc 10(6): 523–530.
9. King WJ, Paice N, Rangrej J, Forestell GJ, Swartz R. (2003) The effect of computerized physician order entry on medication errors and adverse drug events in pediatric inpatients. Pediatrics 112(3): 506–509.
10. Bates DW, Leape LL, Cullen DJ, et al. (1998) Effect of computerized physician order entry and a team intervention on prevention of seri­ous medication errors. JAMA 280(15): 1311–1316.
121
Health Informatics for Hospitalists
11. The Leapfrog Group. <http://www.leapfroggroup.org/>. Accessed 9/21/2010.
12. Lwin A, Shepard D. Lives Saved Leapfrog Report <http://www. leapfroggroup.org/media/file/Lives_Saved_Leapfrog_Report_2008­Final_(2).pdf>. Accessed 9/29/2010.
13. Schnipper JL, Hamann C, Ndumele CD. (2009) Effects of a medication reconciliation application and process redesign on potential adverse drug events: A cluster-randomized trial. Arch Intern Med, In Press.
14. Poon EG, Blumenfeld B, Hamann C, et al. (2006) Design and imple­mentation of an application and associated services to support interdis­ciplinary medication reconciliation efforts at an integrated healthcare delivery network. J Am Med Inform Assoc 13(6): 581–592.
15. Poon EG, Keohane CA, Yoon CS, et al. (2010) Effect of bar-code technology on the safety of medication administration. N Engl J Med 362(18): 1698–1707.
16. Kuperman GJ, Teich JM, Tanasijevic MJ, et al. (1999) Improving response to critical laboratory results with automation: Results of a randomized controlled trial. J Am Med Inform Assoc 6(6): 512–522.
17. Massaro TA. (1993) Introducing physician order entry at a major academic medical center: I. Impact on organizational culture and behavior. Acad Med 68(1): 20–25.
18. Koppel R, Metlay JP, Cohen A, et al. (2005) Role of computerized physician order entry systems in facilitating medication errors. JAMA 293(10): 1197–1203.
19. Han YY, Carcillo JA, Venkataraman ST, et al. (2005) Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system. Pediatrics 116(6): 1506–1512.
20. Ash JS, Sittig DF, Dykstra R, et al. (2009) The unintended conse- quences of computerized provider order entry: Findings from a mixed methods exploration. Int J Med Inform 78(Suppl 1): S69–S76.
122
A.K. Dalal and K. Rogers

Business of Hospital Medicine