|Year : 2016 | Volume
| Issue : 3 | Page : 219-223
|Information technology to improve patient safety: A round table discussion from the 5th International Patient Safety Forum, Riyadh, Saudi Arabia, April 14–16, 2015
Yaseen M Arabi1, Brian W Pickering2, Hasan M Al-Dorzi1, Abdulmohsen Alsaawi1, Saad M Al-Qahtani1, Alasdair W Hay1
1 King Saud bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia
2 Department of Anesthesiology, Division of Critical Care Medicine, Mayo Clinic, Rochester, Minnesota, USA
|Date of Submission||26-Jul-2015|
|Date of Acceptance||26-Oct-2015|
|Date of Web Publication||7-Jul-2016|
Yaseen M Arabi
Intensive Care Department, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, King Abdulaziz Medical City, P.O. Box 22490, Riyadh 11426
Kingdom of Saudi Arabia
Source of Support: None, Conflict of Interest: None
|How to cite this article:|
Arabi YM, Pickering BW, Al-Dorzi HM, Alsaawi A, Al-Qahtani SM, Hay AW. Information technology to improve patient safety: A round table discussion from the 5th International Patient Safety Forum, Riyadh, Saudi Arabia, April 14–16, 2015. Ann Thorac Med 2016;11:219-23
|How to cite this URL:|
Arabi YM, Pickering BW, Al-Dorzi HM, Alsaawi A, Al-Qahtani SM, Hay AW. Information technology to improve patient safety: A round table discussion from the 5th International Patient Safety Forum, Riyadh, Saudi Arabia, April 14–16, 2015. Ann Thorac Med [serial online] 2016 [cited 2022 Dec 4];11:219-23. Available from: https://www.thoracicmedicine.org/text.asp?2016/11/3/219/176877
A simple definition of patient safety is the prevention of error or harm associated with healthcare. An up-to-date definition is more holistic. Patient safety has expanded to include providing high-quality care. The goals of patient safety have similarly expanded to include delivering evidence-based care in a timely manner rather than just eliminating errors.
Information technology (IT) has wide-ranging spectrum applications in patient safety in the acute care setting and, in particular, the Intensive Care Unit (ICU) setting. Throughout this paper, we provide a summary of the discussion from the roundtable meeting from the 5th International Patient Safety Forum, held in Riyadh, Saudi Arabia on April 14–16, 2015 that covered several aspects of how IT can improve patient safety, with a focus on the ICU setting. The format of the roundtable included presentations and general discussions. The potential risks associated with novel IT methods and technologies were also discussed. The meeting provided evidence by showcasing specific successful IT projects.
Healthcare, particularly ICU care, is complex and involves multiple processes. Defect rates are estimated to be in the order of 1/10 to 1/1000, making healthcare frequently unreliable. Arguably the most important goal of modern healthcare is standardization and improvement in reliability. Standardization means the provision of the same good medical care to all patients. It involves the implementation of evidence-based clinical practice guidelines. IT can help standardize a complex healthcare. [Table 1] describes steps for standardization of care using health IT.
|Table 1: Steps to perform standardize care using health information technology|
Click here to view
Computerized physician order entry (CPOE) systems are already transforming healthcare. These systems are widely used and are recommended by the Institute of Medicine  to improve patient safety and reduce errors. CPOE is the use of an institutional computerized health record to electronically enter orders. The technology often includes prompts, alerts, dose calculators and interfacing with laboratory and radiology test results. The value of CPOE lies in optimizing order communication, providing real-time decision support, and facilitating standardization of care [Table 2].
The completion of a single medication dose requires executing many steps. Errors can happen at any of these steps. An ICU study found that the most common error types were wrong dose (11.7%), wrong administration time (13.9%), dose omission (14.4%), and wrong administration rate (40.1%) with the commonly involved medications being antibiotics, electrolytes, cardiovascular drugs and sedatives/analgesics. A prospective study compared a paper-based ICU and a CPOE-ICU. The study found that the CPOE-ICU had a lower incidence of medication prescription errors (3.4% vs. 27.0%) and adverse drug events (2 vs. 12). A recent systematic review estimated that processing a prescription drug order through a CPOE system decreases the likelihood of error on that order by nearly 50%. It was projected that >100,000,000 medication errors could be averted if CPOE was adopted in all US hospitals.
Incorporating decision support systems into CPOE has also been shown to be beneficial. A before-after CPOE-ICU study, with an integrated clinical decision support system, showed a decrease in the erroneous prescription of medications to which patients had reported allergy from 146 to 35 (P < 0.01), a decrease in antibiotic-susceptibility mismatches from 206 to 12 (P < 0.01), reductions in the number of days of excessive drug dosage (2.7 vs. 5.9 days, P < 0.001) and a decrease in adverse drug events from 28 to 4 (P < 0.01). Another before-after study found that an evidence-based computerized decision algorithm for red blood cell transfusion in an adult ICU was associated with a decrease in the number of transfusions per ICU admission from 1.08 units before to 0.86 units after the protocol (P < 0.001), in the rate of inappropriate transfusions (17.7% vs. 4.5%, P < 0.001) and in the rate of transfusion complications (6.1% vs. 2.7%, P = 0.015). There are many other examples of CPOE facilitating protocol implementation and thus improving patient outcomes. Examples include the management of hyperglycemia, acute myocardial infarction  and chemotherapy regimens. A before-after study conducted in the ICU at King Abdulaziz Medical City, Riyadh (KAMC-R), Saudi Arabia found that CPOE implementation was associated with no change in ICU and hospital mortality in the immediate period and up to 12 months after implementation.
However, the introduction of CPOE systems can introduce substantial vulnerabilities. Any change in medical care can be accompanied with unintended consequences. A study at a tertiary-care hospital found that a new CPOE system facilitated 22 types of medication error risks, as a result of fragmented CPOE displays, false interpretation of dosing guidelines, inflexible ordering formats, delayed ordering due to system unavailability and other factors. CPOE may also change workflow such that CPOE becomes time consuming leading to less time spent with the patients. Moreover, it may increase the clinician's reliance on IT instead of face-to-face verbal communication with other healthcare providers for planning and coordinating their work. Hence, CPOE system implementation should be well planned and should involve all stakeholders. Potential vulnerabilities should be considered and addressed before the Go-Live. The system performance should be audited and continuously enhanced according to the specific hospital's needs. The effect of CPOE on various stakeholders, such as physicians and nurses, its impact on patient safety and other patient outcomes and its cost-effectiveness should be studied in randomized controlled trials.
A basic CPOE system allows physicians to improve care by reducing errors and standardizing treatment from the time of initial diagnosis or recognition of a clinical problem. However, compliance with the best practices also requires clinicians to reliably identify patients requiring specific treatment early and respond quickly to new clinical problems. Modern technology means that more of the information required to deliver timely care is available, but this information needs to be delivered to physicians to help them act quickly and reliably. Electronic alert systems can be adapted to aid in the diagnostic process. For example, in a large randomized controlled trial, with over 2500 patients, patients were randomized to either an intervention group, with the physician receiving a computer alert of the patient's venous thromboembolism risk or to a control group with no alert. There was a clinically and statistically significant improvement in care in the intervention group: Mechanical prophylaxis (10.0% vs. 1.5%) and pharmacologic prophylaxis (23.6% vs. 13.0%). Two successful IT projects from KAMC-R, where alert systems have been used to improve clinical care, were presented at the 5th International Patient Safety Forum. These were the automation of the communication of critical laboratory results and severe sepsis and septic shock alert system. The details of these two IT projects are summarized below.
The technological advances in laboratory medicine, including automation, have dramatically improved the accuracy and speed of patient testing. However, the communication of critical laboratory values (CLVs) to clinical staff has not kept pace with these technological changes.,,
Until recently, laboratory staff at KAMC-R were required to contact physicians and inform them of CLVs manually using a telephone or pager. This process was time-consuming for lab staff and resulted in significant delays in the transfer of critical information. The identity of the requesting physician was often unclear as was the escalation process, with differing departmental policies, and often there was reluctance from the contacted physicians to accept responsibility for managing the associated clinical problem. Using this manual reporting process, it was not possible for KAMC-R laboratories to meet their performance target of communicating CLVs reliably within 15 min (from confirmation of the results until acknowledgment from the clinician of the results). An IT system was designed to automate the communication of CLVs to the relevant physician.
The impact of automation has been significant [Figure 1] with results being reliably communicated to the appropriate department within the target time frame and laboratory personnel now have more free time to handle their other responsibilities. The healthcare providers are now more likely to accept responsibility for the CLVs knowing that a computerized system has identified them as the appropriate providers. Finally, an automated system means that monitoring the performance of CLV communication is easier, with the real-time availability of data and automated reports.
|Figure 1: The impact on the time to notification (a) and the percentage of critical results notified within the target time frame (b) as a result of switching from a manual to an electronic notification system (b) at King Abdulaziz Medical City, Riyadh, Saudi Arabia|
Click here to view
Several studies have demonstrated poor compliance with evidence-based guidelines for the management of severe sepsis and septic shock. One key factor causing poor compliance is delayed recognition. The 2012 Surviving Sepsis Campaign guidelines recommended routine screening for severe sepsis to allow earlier initiation of therapy.
Several screening tools using different combinations of severe sepsis and septic shock criteria have been studied., At KAMC-R, an electronic sepsis alert system was developed as a part of a quality-improvement project for severe sepsis and septic shock. The tool used a combination of systemic inflammatory response syndrome and organ dysfunction (i.e. hypotension, hypoxemia, or lactic acidosis) criteria. We demonstrated that this electronic sepsis alert had a sensitivity of 93%, specificity of 98%, positive predictive value of 20%, and negative predictive value of 99.9% for severe sepsis and septic shock. Implementation of the sepsis e-alert and sepsis response team was associated with a reduction in the time until the identification of severe sepsis and an increase in compliance with the sepsis resuscitation bundle. We should note that the diagnostic accuracy of screening electronic alert tool for severe sepsis and septic shock needs to be studied further as there are only few studies on this topic. In addition, the impact of such alerts on mortality is unclear and requires further studies.
The ICU is a highly complex healthcare setting with very sick patients supported with multiple devices and machines. Complex care inevitably requires measuring multiple parameters, carrying out multiple tests and prescribing multiple treatments. [Table 3] displays an analysis of the quantity of data generated by patients in the first 24 h of admission to the ICU, (unpublished data from a sample of patients admitted to ICU at the Mayo Clinic, Rochester presented by Dr. Brian Pickering).
When faced with such large quantities of data, the human cognitive function becomes overwhelmed (information overload), and performance fails. The consequences of information overload for healthcare workers include: (1) Paralyzed decision-making, (2) failure to recognize emerging life-threatening emergencies, (3) communication failure, (4) delayed treatment initiation, and eventually (5) physician burnout.
Given the vulnerable nature of critically ill patients, the importance of timely interventions in the prevention of organ failure cannot be overstated. We know that delayed care leads to prolonged ICU and hospital length of stay and excess mortality. If information overload impairs physician performance, it can result in the most serious patient-centered complications.
A multipronged approach is required to solve this emerging patient safety concern. As healthcare has become more complex, IT systems have simply delivered more and more information to healthcare workers resulting in information overload. In the same way as physicians need to summarize, simplify and package patient information to communicate effectively with other physicians and other healthcare workers, the CPOE systems of the future need to do the same. Key components of this IT approach to manage information overload include:
- Engaging with stakeholders (providers and patients) in the design and implementation of new CPOE interfaces for the ICU. Commercial vendors have limited access to clinical insights. They desperately need to engage with clinicians to develop better products for our patients. An added benefit of engagement from the clinical perspective is that of a greater understanding of the positive and negative ways IT impact on the quality of the work environment and patient outcomes
- Developing CPOE displays that adapt to the context in which they are operating and prioritize clinical information relevant to that context. This will increase the signal-to-noise ratio of data so that clinicians do not miss vital information
- A move away from thinking of a CPOE as a database. A future CPOE should display information as concepts. This is expected to reduce the cognitive burden of connecting the dots between pieces of information scattered across several databases in the electronic medical record, improve efficiency and facilitate less time with the computer
- Applying human-centered design principles to the design and integration of alerts into clinical environments to minimize disruption of workflow. This will lead to improving the real world efficacy of the clinical information systems and increase provider satisfaction with their environment.
IT has wide-ranging spectrum applications in patient safety in the acute care setting and, in particular, the ICU. CPOE and electronic alert systems are examples that have been shown to improve care delivery and probably outcomes. However, all IT applications can introduce substantial vulnerabilities. Information overload is a particular problem. Implementation of IT solutions as a tool for patient safety needs to take in account strategies to maximize the benefits from standardization and mitigate the drawbacks of information overload.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Resar RK. Making noncatastrophic health care processes reliable: Learning to walk before running in creating high-reliability organizations. Health Serv Res 2006;41 (4 Pt 2):1677-89.
Institute of Medicine (US) Committee on Quality of Health Care in America. Crossing the Quality Chasm: A New Health System for the 21st Century. National Academies Press (US); 2001.
Bates DW, Cullen DJ, Laird N, Petersen LA, Small SD, Servi D, et al.
Incidence of adverse drug events and potential adverse drug events. Implications for prevention. ADE Prevention Study Group. JAMA 1995;274:29-34.
Kiekkas P, Karga M, Lemonidou C, Aretha D, Karanikolas M. Medication errors in critically ill adults: A review of direct observation evidence. Am J Crit Care 2011;20:36-44.
Colpaert K, Claus B, Somers A, Vandewoude K, Robays H, Decruyenaere J. Impact of computerized physician order entry on medication prescription errors in the intensive care unit: A controlled cross-sectional trial. Crit Care 2006;10:R21.
Radley DC, Wasserman MR, Olsho LE, Shoemaker SJ, Spranca MD, Bradshaw B. Reduction in medication errors in hospitals due to adoption of computerized provider order entry systems. J Am Med Inform Assoc 2013;20:470-6.
Rana R, Afessa B, Keegan MT, Whalen FX Jr, Nuttall GA, Evenson LK, et al.
Evidence-based red cell transfusion in the critically ill: Quality improvement using computerized physician order entry. Crit Care Med 2006;34:1892-7.
Guerra YS, Das K, Antonopoulos P, Borkowsky S, Fogelfeld L, Gordon MJ, et al.
Computerized physician order entry-based hyperglycemia inpatient protocol and glycemic outcomes: The CPOE-HIP study. Endocr Pract 2010;16:389-97.
Quinn MM, Mannion J. Improving patient safety using interactive, evidence-based decision support tools. Jt Comm J Qual Patient Saf 2005;31:678-83.
Voeffray M, Pannatier A, Stupp R, Fucina N, Leyvraz S, Wasserfallen JB. Effect of computerisation on the quality and safety of chemotherapy prescription. Qual Saf Health Care 2006;15:418-21.
Al-Dorzi HM, Tamim HM, Cherfan A, Hassan MA, Taher S, Arabi YM. Impact of computerized physician order entry (CPOE) system on the outcome of critically ill adult patients: A before-after study. BMC Med Inform Decis Mak 2011;11:71.
Sittig DF, Ash JS, Zhang J, Osheroff JA, Shabot MM. Lessons from “Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system” . Pediatrics 2006;118:797-801.
Koppel R, Metlay JP, Cohen A, Abaluck B, Localio AR, Kimmel SE, et al.
Role of computerized physician order entry systems in facilitating medication errors. JAMA 2005;293:1197-203.
Kucher N, Koo S, Quiroz R, Cooper JM, Paterno MD, Soukonnikov B, et al.
Electronic alerts to prevent venous thromboembolism among hospitalized patients. N
Engl J Med 2005;352:969-77.
Valenstein PN, Wagar EA, Stankovic AK, Walsh MK, Schneider F. Notification of critical results: A College of American Pathologists Q-Probes study of 121 institutions. Arch Pathol Lab Med 2008;132:1862-7.
Campbell C, Horvath A. Towards harmonisation of critical laboratory result management-review of the literature and survey of australasian practices. Clin Biochem Rev 2012;33:149-60.
Parl FF, O'Leary MF, Kaiser AB, Paulett JM, Statnikova K, Shultz EK. Implementation of a closed-loop reporting system for critical values and clinical communication in compliance with goals of the joint commission. Clin Chem 2010;56:417-23.
Dellinger RP, Levy MM, Rhodes A, Annane D, Gerlach H, Opal SM, et al.
Surviving Sepsis Campaign: International guidelines for management of severe sepsis and septic shock, 2012. Intensive Care Med 2013;39:165-228.
Hall MJ, Williams SN, DeFrances CJ, Golosinskiy A. Inpatient care for septicemia or sepsis: A challenge for patients and hospitals. NCHS Data Brief 2011;62:1-8.
Nelson JL, Smith BL, Jared JD, Younger JG. Prospective trial of real-time electronic surveillance to expedite early care of severe sepsis. Ann Emerg Med 2011;57:500-4.
Jaimes F, Garcés J, Cuervo J, Ramírez F, Ramírez J, Vargas A, et al.
The systemic inflammatory response syndrome (SIRS) to identify infected patients in the emergency room. Intensive Care Med 2003;29:1368-71.
Alsolamy S, Al Salamah M, Al Thagafi M, Al-Dorzi HM, Marini AM, Aljerian N, et al.
Diagnostic accuracy of a screening electronic alert tool for severe sepsis and septic shock in the emergency department. BMC Med Inform Decis Mak 2014;14:105.
[Table 1], [Table 2], [Table 3]
|This article has been cited by|
||Impact of an electronic alert system for pediatric sepsis screening a tertiary hospital experience
| ||Abdullah Alturki, Ayman Al-Eyadhy, Ali Alfayez, Abdulrahman Bendahmash, Fahad Aljofan, Fawaz Alanzi, Hadeel Alsubaie, Moath Alabdulsalam, Tareq Alayed, Tariq Alofisan, Afnan Alnajem |
| ||Scientific Reports. 2022; 12(1) |
|[Pubmed] | [DOI]|
||Technology impact on healthcare quality of the hospital: A literature review
| ||Christian Lopo, Amran Razak, Alimin Maidin, Fridawati Rivai, Anwar Mallongi, Elisa Sesa |
| ||Enfermería Clínica. 2020; 30: 81 |
|[Pubmed] | [DOI]|
| Article Access Statistics|
| Viewed||5203 |
| Printed||106 |
| Emailed||0 |
| PDF Downloaded||322 |
| Comments ||[Add] |
| Cited by others ||2 |