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https://doi.org/10.5005/jp-journals-10049-2009 |
Anesthesia Information Management Systems: A New Venture
1Department of Cardiac Anesthesia, Wockhardt Hospitals, Mumbai, Maharashtra, India
2Department of Anesthesia, Wockhardt Hospitals, Mumbai, Maharashtra, India
Corresponding Author: Vaishali S Badge, Department of Cardiac Anaesthesia, Wockhardt Hospitals, Mumbai, Maharashtra, India, Phone: +91 9821162964, e-mail: vsbadge@rediffmail.com
ABSTRACT
The technological innovations in all the sectors of medical specialty have improved not only clinical practice but also administrative work to a great extent. Along with clinical practice, modern technology has replaced traditional techniques of record-keeping and storing piles of paperwork. An anesthesia information management system (AIMS) is an electronic record system that allows the collection, storage, and presentation of patient data during the perioperative course. Anesthesia information management systems (AIMS) have implemented the smooth transition from simple, automated intraoperative record-keeping in a selected few institutions to widely adopted, modern and sophisticated hardware and software solutions that are integrated into a hospital’s electronic health record system which contributes to the documentation of patient’s entire perioperative experience. The availability of AIMS helps to proliferate and allows sharing of the data across multi-institutional collaborations. Visual analytics and advanced analytics techniques such as machine learning may be applied to AIMS data, to offer even more benefits. Our hospital is a tertiary care, Joint Commission International (JCI) reaccredited hospital, with technological advancement in storing health records in various hospital locations such as operation theaters, wards, Intensive Care Units (ICUs), administrative work, and billing systems.
How to cite this article: Badge VS, Mokashi S. Anesthesia Information Management Systems: A New Venture. J Res and Innov Anesth 2022;7(1):32-36.
Source of support: Nil
Conflict of interest: None
Keywords: Anesthesia, Anesthesia information management system, Information system, Hardware, Software
INTRODUCTION
Digitalization in all industries has brought novelty in technology. However, technology in health care has made a dramatic revolution in practice such as patient registration, data monitoring, and laboratory tests. The technological innovations in the medical specialty are keeping electronic health records (EHRs). The specialty of anesthesiology has shown a great change in clinical as well as technological advancements1 and has implemented a new system of keeping EHR of the patient during the perioperative period.
An anesthesia information management system (AIMS) enables accurate data collection, storage, and presentation of patient medical information in a digital format.2 These specific forms provide record-keeping capabilities as well as quick access to the summary and data for the end-user.3 This information is useful for auditing, research, and improving practice.
The AIMS installation is composed of software, hardware components, and physiologic device within a hospital’s EHR system.4 The software is installed on each anesthetic workstation like operating room (OR), post-anesthesia care unit (PACU), and intensive care units (ICU). AIMS hardware includes a transportable computer workstation with keyboards, bar code scanners, and syringe pumps.4 However, AIMS is definitely a modern technology that reduces financial costs and improves efficiency.
A Transformation to New Era
Dr Codman and Dr Cushing, two surgeons, pioneered the use of paper documenting a patient’s physiologic condition during anesthesia5 in the 1890s. The normal practice in the 1900s was to keep a paper anesthetic record. However, in the 1970s and 1980s, there was a strong trend toward electronic perioperative data acquisition, storage, retrieval, and formatting.6 In the 1970s, computers were used to record patients’ data, and in the 1980s, Duke Automatic Monitoring Equipment System was developed to capture patient data directly from the monitors.7 Subsequently, the demand for AIMS rose from 75% in 2014 to 90% in 2020.8
Electronic health record (EHR) systems Epic, Cerner, and others9 (Fig. 1) have been installed extensively in hospitals. The AIMS component enhances interoperability and access to other EHR components including laboratory findings and automated order entry, as well as secondary uses like research and quality improvement projects.
Fig. 1: Pie chart of the list of top-rated companies which install AIMS in USA (2020)
AIMS are employed not just in the perioperative phases of operating room (OR) care, but also in other settings where patients are cared for, including intensive care units, wards, labor and delivery suites, and acute pain services.10
Functioning of AIMS during Perioperative Period (Documentation in Action)
The most valuable system, AIMS, provides for the preservation and documentation of reliable data, which is the foundation for making decisions at the point of care.11 AIMS collects data from devices such as patient monitors, anesthesia machines, and drug infusion records. Clinical events such as anesthesia induction, patient positioning, insertion of invasive lines such as central venous catheterization and arterial line insertion, the start of surgery, end of the surgery, administration of medications, fluids, and blood products can also be documented manually. As data is stored in the record, a clinician can access, review, and change it using the user interface. The decision to include preoperative assessment of the patient in AIMS depends on the hospital policy or the company’s guidelines. This is because the changes are not allowed in certain software programming companies once the record is complete and the system is logged out. The data entry tools range from a simple free-text field to comprehensive information, drop-down menus, the facility to save images, and other patient characteristics. The preoperative modules contained in AIMS include demographics (name, age, gender, ASA physical status). Some AIMS feature a history-taking questionnaire and recommend preoperative laboratory testing based on customizable algorithms that take into account the patient’s comorbidities and treatments.11 Patient risk stratification is a key aspect of AIMS, which can be determined using saved patient data and algorithms such as the modified Lee-Goldman index.12 This preoperative module also allows access to the hospital’s EHR system and can load relevant patient data such as allergies, medications, and procedure information during the preoperative and intraoperative periods. It may be possible to include a few AIMS modules like previous anesthesia records, any event, physical and systemic examination, and a document regarding the plan of an anesthetic after a complete and thorough assessment of the patient. AIMS reduces redundant data entry by carrying information (such as patient’s age and allergies) across the intraoperative chart.
Manual data entry of case events (e.g., case timings, drug administrations, airway management events, regional or nerve blocks) and automatic transcription of vital signs and ventilator data into the accumulating computerized record are all part of intraoperative charting. The AIMS facilitates the continuous recording of anesthesia data since it will be used in real-time during a case.
AIMS allows postoperative documentation in recovery units like PACU and ICU. This advanced technology allows to develop skills among clinicians, nurses, and other hospital staff to effectively carry out a particular task, by using just-in-time information at the point of care. Some AIMS support the clinicians by providing an algorithm that can make drug dosing calculations based on a patient’s age, weight, and renal function.
Advantages of AIMS
The advantages of AIMS in hospital systems are described in the peer-reviewed literature13 (Annexure 1). It has described the advantages in the category of patient safety and quality of care, documentation, operations management, cost containment and reimbursement, and clinical research which showed improved and promising results. According to an assessment of the research, AIMS can give a good net return on investment in four areas- (1) more effective staff scheduling and lower personnel costs, (2) lower anesthetic drug prices, (3) better charge/billing capture, and (4) appropriate hospital reimbursement due to improved hospital coding are among these areas. It was shown that institutes were able to control their billing rate for epidural catheters, central lines, and arterial catheters by configuring their AIMS software so that individual clinicians were prompted for documentation of invasive operations when the system identified triggering events. Due to accurate documentation, revenue cycles improved and payment for services was appropriate. The accuracy of AIMS data does not differ whether patient variables are entered through the console manually or automatically from the monitors. AIMS has a valuable contribution in medicolegal cases mainly to review clinical records in the defense process.
AIMS: Clinical Decision Support
Anesthesia information management system (AIMS) offers clinical decision support into either clinical (especially protocols and guidelines) or administrative processes. Clinical decision support systems based on AIMS improve various elements of clinical performance and patient care, especially when they are incorporated into clinical workflow and consist of evidence-based recommendations rather than assessments14 (Annexure 2).
AIMS: A Boon
The application of AIMS has facilitated research, multicentre study projects, and anesthesia practices. Various studies using AIMS have been published by the Multi-centre Perioperative Outcomes Group and the Anaesthesia Quality Institute’s National Anaesthesia Clinical Outcomes Registry.15 It is important to get clear, consistent perioperative data through valid and reliable documentation to execute high-quality outcomes in clinical as well as reporting systems.
Role in Various Sectors
The AIMS has benefits such as legibility, faster data entry, reduction in human errors, enhanced data completeness, cost savings, and easy access to previous records.
Quality Assurance
Quality assurance has made significant improvements in anesthesia practice. AIMS enables the recovery of unbiased and error-free data from a vast database, which is especially useful in critical incident situations.16
Legal Protection
Unlike other specialties, anesthesiologists can be involved in medicolegal matters, where AIMS can assist in court because the data presented is more accurate and unbiased than handwritten records, allowing anesthesiologists to support their clinical judgments. The artifact recorded by these systems may support charges of malpractice in the event of an unfavorable outcome,16 and AIMS plays a significant part in risk management strategy by providing complete, legible, and contemporaneous recording of care.
Organization of Anesthesia Department
Various hospital specialties necessitate anesthetic care. AIMS provides precise information on operating room time, surgery duration, and anesthesia occurrences. This information is useful for estimating medicine, equipment, and other inventory quantities. With the use of reliable data and feedback suggestions, AIMS assists in the formulation of departmental protocols and guidelines.16
Administration
The resources and inventories are managed effectively through AIMS directly connecting to the purchasing department.
Cost-effective
AIMS reduces a lot of paperwork and hence the requirement of staff, which is again quite economical.16
Tracking Patient’s Movements during the Hospital Stay
The patient details with regards to location, sequence of perioperative events such as hemodynamics, recovery, etc., are automatically documented. This maintains transparency in the system, keeping a healthy bond between clinicians and relatives of the patient.
Drawbacks
Some physicians are hesitant to utilize AIMS due to a desire to save paper records, the high expense of installation and maintenance, anesthetic providers’ inattention, medicolegal issues, and reluctance to change clinical workflow patterns. However, many studies have proved AIMS to be more accurate and more reliable than paper records.17 The return on investment outweighs the cost of AIMS installation.
Criteria to Select AIMS Project Installation Company
The selection goal should specify the proposed installation’s precise requirements, as well as the geographical requirement and the clinical activities that must be supported. Once a vendor has been chosen, they should detail their systems’ ability to handle a catastrophic incident (e.g., a server failure, power loss, or network interruption) as well as their redundancy methods. The system stability, user interface, system responsiveness and security, and network connectivity should all be highlighted in the AIMS software and hardware demonstration18 (Annexure 3).
Future Prospects of AIMS
AIMS will become more widely used in India’s high-tech hospitals in the next years, with improved user interfaces, mobility, and connectivity within hospital EHRs. Because the increase in patient care is less visible, AIMS adoption is slower than other available technologies such as newer physiologic monitors or current-generation anesthetic machines. AIMS are anticipated to become a crucial modality for providing the lowest cost, highest quality care across an anesthetic department as they continue to demonstrate better care procedures, billing efficiency, and quality assurance benefits.19 The use and usefulness of AIMS modules are growing, and automatic data collecting will be available from the latest, most current technologies, such as barcode medicine labeling systems and “smart” pharmaceutical infusion pumps. Analytical approaches such as machine learning and visual analytics, which ease the computing of massive AIMS databases, are used to improve quality and performance. Machine learning algorithms applied to AIMS data record perioperative events and assign clinical relevance to physiologic data. Another propitious application of technology to AIMS data is real-time analysis of patient data which helps in clinical decision making and patient care.20
Synopsis
A large number of peer-reviewed studies have demonstrated that these high-tech devices may improve operating room efficiency while also improving the quality of care provided and that this is attainable with proper planning. A large number of resources are required for a successful AIMS implementation. The time spent on training, installation, and program customization is included in these resources. A modern-era AIMS will depict improved standardization, interoperability, and integration of the system.21 An AIMS will aid an attentive, conscientious, meticulously vigilant anesthesiologist with the help of detailed record-keeping and good knowledge of current trends in the practice and is less likely to be judged negligent in case of his patient care.
ORCID
Vaishali S Badge https://orcid.org/0000-0002-6910-3572
ANNEXURE 1
Benefits of AIMS in Various Sectors of Hospital
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Effect on patients
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Facilitation of real-time intraoperative decision support
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Helps the anesthesia care team to focus on the patient, rather than recording vital signs
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Accurate recording of intraoperative data and patient responses to anesthesia
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Better clarity and availability of historical records
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Improved patient safety and quality of care
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Effect on Departmental Management
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Provides cost analysis by provider/type of surgery/patient
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Improvement in billing accuracy and timeliness
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Satisfies the Joint Commission requirements for legible and comprehensive patient records
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Facilitates verification of Accreditation Council for Graduate Medical Education case requirements for trainees (residents/fellows)
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Simplifies compliance with concurrency and other regulatory issues
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Effect on the practice of anesthesia
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Provides precise, high-resolution records that can be used for educational purposes
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Allows researchers to rapidly search for rare events or specific occurrences across a large number of cases
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Facilitates individual provider performance tracking
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Helps in maintaining quality assurance functionality through the creation of more complete and precise records
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Integration with other hospital databases allows assessment of short and long-term patient outcomes
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Provision of additional legal protection via the availability of unbiased, precise, and accurate information
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Support of clinical quality improvement programs
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Enhancement of clinical risk management
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Detection of controlled substance diversion
ANNEXURE 2
AIMS-based Clinical Decision Support
Quality Assurance
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Maintenance of normothermia notifications
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Presurgical antibiotic management notifications
Medication Support
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Drug-drug interaction check
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Drug-dose calculations
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Drug re-dosing reminders
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Drug-allergy check
Regulatory and Compliance Support
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Concurrency checking
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Ensuring electronic records contain elements required for billing
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Attending physician attestation statements
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Case times (start of anesthesia care, end of anesthesia care)
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Case type (general/MAC/regional)
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Patient details (ASA physical status)
Support Around Critical Events
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Algorithm display and guidance (malignant hyperthermia, ACLS, ASA difficult airway algorithm)
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Critical event detection (chaotic ECG + no pulse-ox wave form → consider ventricular fibrillation)
ACLS advanced cardiac life support, ASA American Society of Anesthesiologists, ECG electrocardiogram, MAC monitored anesthesia care
ANNEXURE 3
Key Points when Selecting an AIMS
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What phases will the AIMS manage? (e.g., preoperative, intraoperative, postoperative phases)
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How will the AIMS merge with the existing departmental/hospital workflows?
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What will be the scope of the AIMS and the overall project?
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What will the location of AIMS support? (e.g., operating room, labor and delivery room, off-site locations, ambulatory surgical area, intensive care units)
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Is physical infrastructure compatible to support system deployment? (e.g., hardware for use in the operating rooms, dedicated or shared network connections, secure location for the primary and backup servers)
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Who will be the system support personnel? (e.g., hospital or anesthesia department)
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Will the support be during working/business hours only or 24/7?
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Will the AIMS stand alone or will it interface with existing clinical systems?
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How will the installation, system customization, initial testing, and deployment occur?
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How will the system be installed and maintained? (e.g., phased roll-out or all-at-once implementation)
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Who will take responsibility for the initial and ongoing training for end-users?
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Who will provide the ongoing system maintenance, development, and upgrades?
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Will there be any backup systems included?
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Will there be redundancy of staff whilst AIMS is deployed?
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What is the cost-benefit ratio/balance?
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Where will the server be located in the hospital? (need to know in case of an emergency)
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Will the system require updation at frequent intervals or will it get updated automatically?
REFERENCES
1. Parmar V. Role of Information management system and automated record in anaesthesia. Indian Journal Anaesthesia 2006;50(02):99-102
2. Allan SF Mohamed RA. Anesthesia information management systems. Anesthesia-Analgesia 2018;127(01):90-93. DOI: 10.1213/ANE.0000000000002545
3. Halbeis CB Epstein RH Macario A et al. Adoption of anesthesia information management systems by academic departments in the United States. Anesth Analg 2008;107(04):1323-1329. DOI: 10.1213/ane.0b013e31818322d2
4. Shah NJ Tremper KK Kheterpal S. Anatomy of an anesthesia information management system. Anesthesiol Clin 2011;29(03):355-365. DOI: 10.1016/j.anclin.2011.05.013
5. Bruce SS Bruce JN. Harvey cushing, neurosurgical pioneer. Curr Surg 2005;62(01):138-140. DOI: 10.1016/j.cursur.2004.03.011
6. Gravenstein JS. The uses of the anesthesia record. J Clin Monit. 1989;5(04):256-265. DOI: 10.1007/BF01618258
7. Block FE Jr, Burton LW, Rafal MD, et al. The computer-based anesthetic monitors: the Duke Automatic Monitoring Equipment (DAME) system and the microDAME. J Clin Monit 1985;1(01):30-51. DOI: 10.1007/BF02832686
8. Stol IS Ehrenfeld JM Epstein RH. Technology diffusion of anesthesia information management systems into academic anesthesia departments in the United States. Anesth Analg 2014;118(03):644-650. DOI: 10.1213/ANE.0000000000000055
9. Monica K. “Most significant Epic, Cerner health IT achievements of 2017.” Available at: https://ehrintelligence.com/news/most-significant-epic-cerner-health-it-achievementsof-2017. Accessed September 5, 2017.
10. Simpao AF Galvez JA England WR et al. A technical evaluation of wireless connectivity from patient monitors to an anesthesia information management system during intensive care unit surgery. Anesth Analg 2016;122:425-429. DOI: 10.1213/ANE.0000000000001064
11. Ehrenfeld JM Rehman MA et al. Anesthesia information management systems: a review of functionality and installation considerations. J Clin Monit Comput 2011;25(01):71-79. DOI: 10.1007/s10877-010-9256-y
12. Boersma E Kertai MD Schouten O, et al. Perioperative cardiovascular mortality in noncardiac surgery: validation of the Lee cardiac risk index. Am J Med 2005;118(10):1134-1141. DOI: 10.1016/j.amjmed.2005.01.064
13. Simpao AF, Ehrenfeld JM. Special case: perioperative information management systems. In: Ehrenfeld JM, Cannesson M, eds. Monitoring Technologies in Acute Care Environments. New York, NY: Springer Verlag, 2014:391-397.
14. Wanderer JP Sandberg WS Ehrenfeld JM. Real-time alerts and reminders using information systems. Anesthesiol Clin 2011;29:389-396. DOI: 10.1016/j.anclin.2011.05.003
15. Lee LO Bateman BT Kheterpal S et al. Risk of epidural hematoma after neuraxial techniques in thrombocytopenic parturients: a report from the multicenter perioperative outcomes group. Anesthesiology 2017;126(06):1053-1063. DOI: 10.1097/ALN.0000000000001630
16. Bajwa SJ. Amalgamation of management information system into anaesthesiology practice: A boon for the modern anaesthesiologists. Indian J Anaesth 2014;58(02):121-126. DOI: 10.4103/0019-5049.130803
17. Thrush DN. Are automated anesthesia records better? J Clin Anesth 1992;4(05):386-389. DOI: 10.1016/0952-8180(92)90161-s
18. Davis TC Green JA Colquhoun A et al. Anesthesia recordkeeping: accuracy of recall with computerized and manual entry recordkeeping. J Clin Monit Comput 2012;26(03):163-169. DOI: 10.1007/s10877-012-9349-x
19. Chau A Ehrenfeld JM. Using real-time clinical decision support to improve performance on perioperative quality and process measures. Anesthesiol Clin 2011;29(1):57-69. DOI: 10.1016/j.anclin.2010.11.002
20. Klumpner TT Bauer ME Kheterpal S. Current applications of big data in obstetric anesthesiology. Curr Opin Anaesthesiol 2017;30(3):300-305. DOI: 10.1097/ACO.0000000000000452
21. Sandberg WS. Anesthesia information management systems: almost there. Anesth Analg 2008;107(04):1100-1102. DOI: 10.1213/01.ane.0000289640.38523.bc
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