By Eric Andrew Kristof, RN, CAHIMS | Healthcare IT Professional | HIMSS Arkansas Chapter Member
About This Series: The HIMSS Word of the Day is a running blog series drawing from the HIMSS Dictionary of Health Information and Technology Terms, Acronyms, and Organizations, 6th Edition (2025) — the authoritative reference for healthcare IT professionals and the primary study resource for CAHIMS and CPHIMS certification. Each post paraphrases the term in plain language, grounds it in real-world healthcare IT context, and adds a bedside nursing perspective you won’t find in a textbook.
📖 The Term: Log Management
Source: HIMSS Dictionary of Health Information and Technology Terms, Acronyms, and Organizations, 6th Edition (2025)
🔍 Plain-Language Definition
The HIMSS Dictionary describes log management as the process that covers log data from the moment it is created through its transfer, storage, review, and eventual destruction. A log is a record of events in a system, such as a sign-in, a record opened, a file changed, or a network connection refused.
NIST’s Guide to Computer Security Log Management (Special Publication 800-92, September 2006) explains why this matters. It states that log management is essential to ensuring that computer security records are stored in sufficient detail for an appropriate period of time. Routine analysis of logs helps identify security incidents, policy violations, fraudulent activity, and operational problems, and logs are also useful for auditing, forensic analysis, internal investigations, and establishing baselines. The guide also points out that organizations may keep and analyze certain logs to meet laws and regulations, including HIPAA.
The hard part is balance. NIST describes the central problem as matching a limited amount of log management resources to a continuous supply of log data. Logs come from many sources, with inconsistent content, formats, and timestamps, and in large volumes. The confidentiality, integrity, and availability of the logs themselves must also be protected, and the people responsible for analysis are often not well prepared or supported.
| Stage | What Happens | Example |
|---|---|---|
| Generation | Systems record events | EHR notes who opened a chart |
| Transmission | Logs are sent to a central place | Server forwards logs to a collector |
| Storage | Logs are kept for the required period | Archive with retention rules |
| Analysis | Logs are reviewed for patterns | Search for unusual access |
| Disposal | Logs are destroyed when no longer needed | Scheduled deletion after retention ends |
| Protection | Logs are kept accurate and available | Limited access to log servers |
⚠️ Exam Alert: Log management covers the full life cycle of log data: generation, transmission, storage, analysis, and disposal. It is broader than logging alone, which is only the recording step. Under HIPAA, the audit controls standard calls for mechanisms that record and examine activity, and the information system activity review specification is required. Do not confuse a log (the record) with a SIEM (a tool that gathers and correlates logs).
🌐 Why It Matters: Real-World Healthcare IT Context
Logs are a main source of evidence about what happened in a health information system. The sources below show the regulatory frame and several ways EHR audit logs are put to use.
The HIPAA Security Rule contains two relevant provisions. The administrative safeguards in 45 CFR 164.308 include an information system activity review, which is a required specification: covered entities must implement procedures to regularly review records of information system activity, such as audit logs, access reports, and security incident tracking reports. The technical safeguards in 164.312 contain an audit controls standard: implement hardware, software, and procedural mechanisms that record and examine activity in information systems that contain or use electronic protected health information. Together they require both recording and review, which is the core of log management.
A 2026 study in the Journal of the American Medical Informatics Association by Kim and colleagues shows how much data an EHR can produce. The authors used more than 295 million audit log actions from inpatient settings between 2019 and 2024 to fine-tune a large language model to predict a clinician’s next action. A version that used word-based descriptions of actions reached next-action prediction accuracy of 0.7473 in an early test set, compared with 0.3464 for a field-based version and 0.4230 for a simple Markov baseline. Accuracy declined in later periods, to 0.6555 and 0.6286, which signals that workflows change over time. The authors suggest uses such as task identification, workflow characterization, and safety analysis.
A 2026 study in JAMIA Open by Nguyen and colleagues used audit logs to identify care teams in pediatric intensive care units. The team observed rounds for 1,931 patient days and built two algorithms. In the validation cohort, a score based on longitudinal contribution identified the bedside nurse with 91.2 percent accuracy, compared with 74.2 percent for a rule-based approach. Accuracy was lower for frontline clinicians and attending physicians, whose work overlaps, so other data sources may be needed for those roles. The finding is useful because the EHR does not reliably record who is on a patient’s team.
A 2026 study in Annals of Emergency Medicine by Martini and colleagues compared notes written with and without ambient AI scribes among 275 attending emergency physicians in 20 emergency departments. Physicians spent less active time in AI-scribed notes (median 10.0 versus 12.5 minutes). The analysis was limited to a window beginning in December 2025, when Epic audit log data were retained, which illustrates a practical point: if logs are not kept long enough, they cannot answer later questions.
Together, the sources show that logs serve security first, and that the same records can support workflow research and quality work. That broader use raises governance questions about who may analyze the data and for what purpose.
Common log management problems:
- Logs scattered across many systems with different formats
- Clocks that disagree, so events appear in the wrong order
- Too much data and too few people to review it
- Logs kept for too short or too long a period
- Log files that administrators or attackers can change
- Reviews that are required on paper but not done in practice
What supports effective log management:
- A written policy covering the full life cycle of log data
- Central collection with consistent formats and synchronized clocks
- Protection of log servers and access to logs
- Retention periods tied to legal and business needs
- Regular review with defined alert thresholds and escalation steps
- Governance for any use of logs beyond security
🏥 The Nurse’s Perspective: Clinical, Bedside, & Workflow
Nurses are visible in logs every time they open a chart, scan a medication, or document care, and they depend on log review to protect patient privacy.
At the Bedside
Each chart access is recorded under the user’s credentials, so signing in individually and locking the workstation matter. A shared sign-in makes the log useless, because it can no longer show who did what.
In Clinical Workflow
Nurse informaticists and privacy staff review access reports when a patient or manager raises a concern. They also work with analysts who use audit logs to study workflow, and they help ensure that findings about time and clicks are interpreted in the context of real nursing work.
In EHR Implementation (Go-Live Perspective)
Logging and audit report settings are tested before an Epic Go-Live so that access to restricted records is captured from the first day. At-the-elbow support analysts help staff understand that actions are recorded, and they report training gaps that appear in the data.
🎓 CAHIMS / CPHIMS & HIMSS Perspective
CAHIMS Exam Domain Mapping
Log management appears in security, compliance, and analytics questions:
| CAHIMS Domain | How Log Management Appears |
|---|---|
| Healthcare & Technology Environments | HIPAA Security Rule, audit requirements |
| Clinical Informatics | Audit log use for workflow and safety analysis |
| Healthcare Information & Systems Management | Log collection, retention, SIEM tools |
| Management & Leadership | Policy, resources, risk management, governance |
Key Terms to Know Alongside Log Management
- Audit Trail — record of who accessed or changed information and when
- Audit Controls — HIPAA technical safeguard for recording and examining system activity
- SIEM — security information and event management tool that gathers and correlates logs
- Syslog — common standard format for sending log messages
- Log Retention — how long logs are kept before disposal
- Time Synchronization — keeping system clocks aligned so logs can be compared
HIMSS Organizational Position
HIMSS supports healthcare cybersecurity through its Healthcare Cybersecurity Community. Members can find related information on the HIMSS Healthcare Cybersecurity Community page.
🔗 Explore Further: External References
- NIST — SP 800-92, Guide to Computer Security Log Management https://csrc.nist.gov/pubs/sp/800/92/final
- eCFR — 45 CFR 164.308, Administrative Safeguards https://www.ecfr.gov/current/title-45/subtitle-A/subchapter-C/part-164/subpart-C/section-164.308
- eCFR — 45 CFR 164.312, Technical Safeguards https://www.ecfr.gov/current/title-45/subtitle-A/subchapter-C/part-164/subpart-C/section-164.312
- Kim et al. (2026), Journal of the American Medical Informatics Association — A Language Model Framework for Sequence Modeling of Audit Logs to Characterize Clinician-Electronic Health Record Interactions https://pubmed.ncbi.nlm.nih.gov/42862940/
- Nguyen et al. (2026), JAMIA Open — Using Electronic Health Record Audit Logs to Identify Pediatric Intensive Care Unit Teams https://pubmed.ncbi.nlm.nih.gov/42725307/
- Martini et al. (2026), Annals of Emergency Medicine — Ambient Artificial Intelligence Scribe Use and Objective Documentation Effort Among Emergency Physicians https://pubmed.ncbi.nlm.nih.gov/42949694/
- HIMSS — Healthcare Cybersecurity Community https://www.himss.org/networking/communities/healthcare-cybersecurity/
Term source: HIMSS Dictionary of Health Information and Technology Terms, Acronyms, and Organizations, 6th Edition (2025). All definitions in this series are paraphrased for editorial purposes. Readers are encouraged to consult the primary source for exact language.
Eric Andrew Kristof, RN, CAHIMS is a Healthcare IT professional and HIMSS Arkansas Chapter member based in Hot Springs Village, AR, with hands-on Epic Go-Live experience and a diverse healthcare and IT background. He writes at kristof.org at the intersection of clinical care and healthcare technology.
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