How to build a weekly literature surveillance workflow for a clinical topic

A good literature surveillance workflow does one narrow job: it tells you what changed this week in a topic you already care about. It is not a one-off search. It is not a pile of alerts. It is a repeatable review habit that keeps a clinical team, lab, or product group from missing useful evidence.

The hard part is not finding more papers. PubMed, Europe PMC, arXiv, Semantic Scholar, Crossref, and OpenAlex already return more than most teams can read. The hard part is deciding which ten results deserve attention before Friday afternoon.

This is the workflow we recommend for teams that want a weekly research brief without turning literature monitoring into a second job.

Start with a decision, not a keyword

Most alert systems ask for a query. That sounds reasonable until the inbox starts filling with papers that match the words but miss the intent.

A surveillance workflow should start with the decision the reader needs to make. For example:

• “Should our colorectal unit change how we screen patients after rectal cancer treatment?”
• “Which GLP-1 and MASH studies should our hepatology group discuss this month?”
• “Are new LLM agent evaluation papers relevant enough to change our benchmark suite?”

Those are better than isolated keyword strings because they include context. They tell the system what counts as useful.

If you use Relaylit, write the brief in plain language. A good brief includes the topic, population, evidence types, date window, and exclusions. Something like:

Recent adult long COVID studies on cardiovascular outcomes, mechanistic or clinical work, last 90 days. Prioritize systematic reviews, cohort studies, randomized trials, and papers that change clinical monitoring. Exclude opinion pieces and small case reports.

That brief gives the ranking step something to judge against. A keyword alert can only ask whether a word appeared.

Choose sources by failure mode

No single source covers the whole research record. Pick sources based on what you are trying not to miss.

PubMed is the default for biomedical literature. It is still the first stop for clinical trials, reviews, and most medicine topics. The official PubMed site and MyNCBI tools are documented by the National Library of Medicine at pubmed.ncbi.nlm.nih.gov.

Europe PMC helps when preprints, open access full text, grants, or European biomedical coverage matter. Europe PMC documents its search and alert tools at europepmc.org.

arXiv matters for machine learning, statistics, physics, and technical fields where preprints appear months before journal papers.

Semantic Scholar helps with citation context and cross-disciplinary discovery.

Crossref and OpenAlex fill metadata gaps, catch DOI-linked works, and broaden coverage outside strict biomedical indexes.

For a weekly brief, the question is not “Which source is best?” The better question is “Which source would catch the paper that the others would miss?”

Set an update window you can actually read

Daily alerts feel productive until the team stops opening them. Weekly often works better. It gives enough time for new work to accumulate, but not so much that the digest becomes archaeological.

Use shorter windows for fast fields:

• LLM agents and evaluation: daily or twice weekly
• oncology immunotherapy: weekly
• GLP-1 cardiometabolic research: weekly
• rare disease gene therapy: weekly or monthly
• methods papers for a stable clinical registry: monthly

The right cadence is the one the reader can keep. A perfect digest that nobody reads is just a prettier inbox problem.

Relaylit lets you run scheduled digests around a brief. You can start with one weekly topic and add more only after the first one proves useful.

Rank before you summarize

Many tools summarize papers too early. That gives you polished summaries of irrelevant work. It feels useful because the output is clean. It still wastes time.

A better workflow has this order:

1. Retrieve broadly across the selected sources.
2. Remove duplicates.
3. Score each paper against the brief.
4. Show the top papers first.
5. Summarize only the papers that clear the relevance bar.

This matters most in clinical topics. A paper can mention the right disease and still be wrong for your question. It may study children when you asked about adults. It may be a protocol when you asked for completed trials. It may use an imaging endpoint when your team needs patient outcomes.

Ranking should explain why a paper made the cut. A short “why this matters” note is more useful than a generic abstract summary.

Keep the brief editable

Your surveillance topic will drift. That is normal.

After two or three digests, check what keeps appearing:

• Too many animal studies? Exclude preclinical work.
• Too many tiny case reports? Ask for cohorts, trials, and reviews first.
• Missing adjacent fields? Add the neighboring terms or source categories.
• Too broad? Split the topic into two briefs.

For example, one “GLP-1 research” brief may become two:

• GLP-1 receptor agonists and MASH, clinical outcomes and trial data.
• GLP-1 receptor agonists and perioperative risk, anesthesia guidance and observational studies.

That split helps because the readers are different. Hepatology wants one answer. Surgery and anesthesia want another.

Write the handoff for a human reader

A weekly digest should not ask the reader to reconstruct the search. It should make the next step obvious.

A useful brief has:

• the topic and date window
• the number of sources searched
• the top ranked papers
• a short reason for each inclusion
• evidence type labels when possible
• links back to the source record
• enough citation metadata to find the paper later

Avoid long blocks of generated prose. Clinicians and researchers scan. Give them the short version first and let them open the details if needed.

For clinical topics, also separate “interesting” from “practice-changing.” Most papers are interesting. Very few should change a protocol.

Use one topic page as the home base

If you monitor the same topic each week, give it a stable home. A topic page makes it easier to share the brief, revisit older runs, and link related posts.

Relaylit topic pages such as long COVID research, GLP-1 research, and oncology immunotherapy are built for this. They describe the monitoring angle, then point readers toward a digest workflow instead of forcing them to rebuild a search from scratch.

This also helps SEO. A stable topic page can answer the broad query. Blog posts can answer narrower questions. The product page can capture the user who wants the workflow automated.

A practical setup

For one clinical topic, start here:

• Brief: one paragraph in plain language.
• Sources: PubMed, Europe PMC, Crossref, OpenAlex. Add arXiv if methods or AI papers matter.
• Cadence: weekly.
• Result count: top 5 to 10 papers.
• Filters: adults only, last 90 days, reviews plus primary clinical studies.
• Exclusions: case reports, editorials, non-human studies if they are not relevant.
• Review habit: one person scans the digest, then forwards two or three papers to the team.

That is enough. Do not build a dashboard before you know the brief is good.

Where Relaylit fits

Relaylit is useful when the manual version starts to leak time.

You can already set up PubMed alerts, browse Google Scholar, and search individual databases. Those tools are still worth knowing. The problem is that each one returns its own raw list. The reader still has to deduplicate, rank, and decide.

Relaylit wraps that work into one repeated brief. You define the topic once. Relaylit searches across sources, removes duplicates, ranks the papers against your brief, and sends a digest on the cadence you choose.

If you are setting up your first topic, start with researchers or create a free account at Relaylit. Pick one topic you already check by hand. If the digest saves even one unfocused search session each week, the workflow is doing its job.