ServiceNow Software Asset Management Professional for Life Sciences and Pharma

Software asset management for life sciences is the practice of keeping an accurate register of the software used in regulated work, so that any installed copy can be traced to its validation file. Quality teams and asset managers agree the scope of that register together before any data is loaded.

Regulatory Compliance in Life Sciences Software Management

Life sciences organisations (pharma, biotech, healthcare) operate under strict regulatory frameworks: FDA (US), EMA (EU), and local health authorities. These regulators require evidence of software validation, access controls, and change management. Software asset management must support compliance. For example, software used in drug manufacturing must be validated: the organisation must prove that the software works as intended and that results are reliable. This requires documentation, testing records, and audit trails. SAM-P helps by tracking software inventory, versions, and validation status.

Clinical Trial and Research Data Management

Clinical trials generate complex data: patient records, lab results, adverse events. Software used to collect, manage, and analyse this data must be validated. Different software is needed for different data types: electronic data capture (EDC) for patient data, laboratory information management systems (LIMS) for lab results, and statistical software for analysis. Organisations must track which software is used for which data, version compatibility, and compliance status. A version mismatch between EDC and statistical software can invalidate results. SAM-P helps by centralising software tracking and linking it to data management processes.

Data Integrity and Electronic Records

Regulators require that electronic records are accurate, secure, and unaltered. Software that manages electronic records must be auditable: you must be able to prove that data was not changed after recording. This requires strict access controls, version control, and audit trails. SAM-P supports this by enforcing access controls on software configuration and tracking changes to validated software.

GxP Compliance (cGMP, cGLP, cGCP)

GxP refers to Good Manufacturing Practice, Good Laboratory Practice, and Good Clinical Practice. These frameworks define how life sciences organisations must conduct operations. Software must support GxP compliance: validated software, documented change control, audit trails, and user access management. Organisations must demonstrate that software supports GxP; SAM-P enables this by providing evidence that software inventory is complete, validated, and controlled.

Unique Challenges for Life Sciences

Software Validation Effort

Life sciences software requires more validation than typical enterprise software. A banking system may validate through testing; a healthcare system used in patient care requires clinical validation, security testing, and often regulatory approval before use. This effort is expensive and time-consuming. Plan accordingly when introducing new software.

Interoperability and Integration

Life sciences uses many specialised systems: electronic health records (EHRs), pharmacy systems, laboratory systems, medical devices. These systems must integrate and share data. Integration requires validation: when data flows between systems, does it flow correctly? Is patient data privacy maintained? SAM-P tracks software versions and interdependencies, helping you identify integration risks.

Legacy System Dependencies

Life sciences organisations often run legacy software that has decades of validation history but may not be supported by vendors. These systems are critical to operations and difficult to replace. SAM-P helps you manage legacy software: track what systems depend on legacy software, plan for eventual replacement, and maintain compliance until replacement occurs.

Implementation Roadmap for Life Sciences

• Assess regulatory requirements: what compliance frameworks apply to your organisation
• Inventory software: identify all software, version, and validation status
• Link software to processes: which software is used in clinical trials, which in manufacturing, which in R&D
• Define validation approach: which software requires extensive validation, which can use lighter validation
• Plan updates and replacements: legacy software has end-of-life; plan transitions
• Establish governance: who approves software purchases, who ensures compliance, who manages updates

Pitfalls Specific to Life Sciences

Pitfall: assuming all software in use is validated. Fix: audit to find unvalidated software and prioritise validation of critical systems.

Pitfall: over-validating low-risk software (e.g., spreadsheets). Fix: use risk-based validation: high-risk software (used in patient care) gets extensive validation; low-risk software (administrative tools) gets lighter validation.

Pitfall: losing validation records or version history when systems are replaced. Fix: archive validation evidence for regulatory retention periods; document which software replaced what and why.

Documentation and Training for Life Sciences Teams

Software validation documentation is extensive. Organisations must document how software was validated, what controls were applied, and how compliance is maintained. This documentation is required for regulatory inspections. Invest in training for teams who use regulated software: they need to understand validation requirements and compliance expectations. Poor training leads to misuse of software and non-compliance with validation controls.

Coordinate ITAM with your data governance and security teams. Life sciences organizations handle sensitive research data and patient information; the systems that process this data must be audited for access and change history. ITAM can track which systems have audit logging enabled, which systems access regulated data, and which systems require additional security controls or monitoring. This integration between ITAM and security ensures that your software asset inventory supports your data protection requirements.

Three records that are often mistaken for one

Quality teams and IT asset managers use the word software record to mean three different things. A license record says what the organization is entitled to run. An installation record says where a copy is actually present, on which host and under which build. A validated-state record says that a specific configuration of that software was tested for its intended use and approved. A life sciences register that merges these three into one row can look tidy and then fail at the first inspection question, because a license can be current while the validated state is out of date, and an installation can be correct while nobody has signed off the configuration on it.

Written for IT asset managers and computer system validation leads who need to agree a shared register of GxP-relevant software. The aim is not to make Software Asset Management Professional a validation tool. It is to make sure the asset data is accurate enough that the validation records can be trusted, and that a reader can move from an installed copy to its validation file without guessing.

What belongs in the asset record and what stays in the quality system

The split works best when both teams agree the boundary in writing before any data is loaded. Start from this split and adjust the rows to match how your quality management system is organized.

The reason for the link-not-copy rule is simple. If the validation file and the asset row both hold an approved configuration, the two can drift apart after the first patch, and the asset row is then the one people trust. Keep the approval in one place and make the asset row point to it.

Building a register of GxP-relevant software, in order

Teams that start by importing every discovered application often end up with thousands of rows and no way to tell which ones matter. A narrower order works better.

1. Agree the scope test with quality. A typical test asks whether the software creates, changes, stores or reports data that supports a regulated decision, or whether it controls a regulated process. Anything that fails the test is out of scope for this register, though it stays in the normal asset inventory.
2. List the processes in scope, such as batch release, laboratory information handling, clinical data capture and regulatory document management. Name the process owner for each.
3. Attach each in-scope application to a process, not to a department. Several applications often sit under one process, and one application can serve several.
4. Record the validated state and the controlled configuration reference for each installed instance. Where an instance has no approved validation, mark it as unvalidated and assign the owner who must resolve that.
5. Reconcile discovered installations against the register. Every mismatch needs a named owner and a disposition, such as remove, validate, or document as an accepted gap with quality approval.

Keeping the register true after a patch or an upgrade

Damage to a regulated software register often happens quietly during routine maintenance. A vendor patch goes in, the build number changes in the discovery data, and the asset row updates automatically. Nobody asks whether the change touched the validated configuration. The register now shows a valid license on an installation that no longer matches its approval.

The fix is to link software change records to the validated state. When a change touches an in-scope installation, the change record should carry a field that asks whether the validated configuration is affected. If the answer is yes or unknown, the change cannot close until quality has reviewed it. This is ordinary change control logic applied to the software register, and it is much cheaper to design in from the outset than to add after an inspection.

Where software asset data misleads an auditor

• Two registers that disagree on which version is approved, and nobody can say which one was used for a given batch or dataset.
• Shadow copies installed for testing that never appear in the register, but are used to generate data that reaches a regulated decision.
• Vendor-hosted software where the subscription record exists but the configuration and validation evidence sits with the vendor and is not reachable from the register.
• Legacy systems with complete validation history but no current entitlement or support record, so the register marks them as a license risk when the real risk is continuity.

Measures a quality-aware asset team can defend

Track the share of in-scope installations with a current validated-state link, the number of unresolved mismatches between discovery and the register, the time between a patch and the register reflecting its validation status, and the number of unvalidated instances still in use. These measures describe the health of the record, which is what the inspector will read. They are not a measure of how fast the team closes items, and they should not be used that way.

Does a software asset record count as validation evidence?

It can show that an installation exists and where it is, which is useful supporting context. It does not show that the software was tested for its intended use. Validation evidence lives in the controlled validation file. The asset record should point to that file and state the status clearly.

Should free or open-source tools used in a laboratory be registered?

Yes, if they are in scope under the test agreed with quality. The license is not the question. A free tool that transforms laboratory results carries the same data integrity obligations as a paid one, so it belongs in the process-linked register even though it has no entitlement to track.

How should one application validated at one site be recorded at a site where it is not?

Record each instance separately, with its own validated state and its own configuration reference. Do not let a single application row imply that every installation shares one approval. Sites often run different builds or configurations, and an inspector will test the one on the floor, not the one in the summary.

What about software hosted and maintained by a vendor?

Register the subscription and the process it supports in the same way. Record where the validation evidence is held, who can produce it and how it is requested. A gap in that chain should be logged as an open item with a named owner, not left as an assumption.

Scope the register with a specialist before any data is loaded.