Tutorials › Population Pharmacokinetics › Reconstruct Elapsed Time From Visit Timestamps

Dataset Construction and Quality Control · Tutorial 28 of 599

Reconstruct Elapsed Time From Visit Timestamps

Reconstruct elapsed time in consistent units, check it against visit records, and quantify the uncertainty introduced by rounded or inconsistently precise timestamps.

Intermediate 11 min read

What You'll Learn

  • Calculate elapsed time between a documented reference event and a visit timestamp.
  • Convert date-time differences into analysis-ready units such as hours.
  • Check reconstructed times against recorded visit and nominal-time information.
  • Quantify how timestamp rounding limits the precision of elapsed-time values.
  • Recognize when date-only or mixed-precision timestamps do not support an exact elapsed time.

Why Reconstruct Elapsed Time?

Population pharmacokinetic records often contain both calendar timestamps and a time variable used to order observations relative to a reference event, such as a documented dose. A sample timestamp says when the sample was recorded on the calendar; an elapsed-time value says how long after or before the reference event it occurred. Reconstructing the elapsed time provides a direct check on the analysis-ready record and can reveal mismatches between timestamps, visit records, and recorded timing fields.

The calculation is simple only when the inputs are comparable and sufficiently precise. Both timestamps must refer to a consistent time basis, and the intended reference event must be clear. If one time is recorded only to the nearest minute and another to the nearest second, the resulting difference should not be reported as though it were known exactly to the second. Calendar dates must also be subtracted as dates, not by subtracting the displayed hour values alone.

Definition: The elapsed time from a reference event to a visit is the visit's date-time minus the reference event's date-time, expressed in a stated unit. It is positive when the visit follows the reference event, zero when they have the same timestamp, and negative when the visit precedes it. The reference event must be identified from the study record; it is not automatically the planned event time.

Calculation From Harmonized Timestamps

Let \(T_R\) be the timestamp of the documented reference event and \(T_V\) the timestamp of the visit or sample. First calculate the difference on a common timeline, then convert it to the desired unit. For example, when the time difference is represented in seconds, elapsed time in hours is:

$$ t_{\mathrm{hours}} = \frac{T_V-T_R}{3600} $$

The subtraction here is between complete date-times, not merely clock readings. A calculation should retain enough intermediate precision to avoid avoidable arithmetic error, but the final reported precision must respect the precision of the source timestamps. If a visit occurs before the reference event, the subtraction is negative; that sign is meaningful and should not be changed just to make the time nonnegative.

Before calculating, confirm that the reference and visit timestamps have been harmonized to a comparable time basis. The earlier material on harmonizing dates, clock times, and time zones covers that preparation. A timestamp from one time zone must not be subtracted directly from a timestamp in another without accounting for the difference. Likewise, a local clock change can make clock-time subtraction misleading even when the calendar date appears unchanged. Use the harmonized timestamps rather than trying to repair such issues inside the elapsed-time calculation.

Worked Example: A Visit Across Midnight

Suppose a hypothetical participant has a documented reference-event timestamp of March 8, 2025, at 22:40 and a sample timestamp of March 9, 2025, at 01:10. Assume both are on the same harmonized time basis and both are recorded to the nearest minute.

From 22:40 to midnight is 1 hour 20 minutes. From midnight to 01:10 is 1 hour 10 minutes. Therefore the elapsed time is \(1\text{ h }20\text{ min}+1\text{ h }10\text{ min}=2\text{ h }30\text{ min}\).

In hours, \(2\text{ h }30\text{ min}=2+30/60=2.5\) hours. The reconstructed elapsed time is therefore 2.5 hours. Subtracting only the displayed clock readings would give an incorrect result because it would ignore the date change.

A useful check is to calculate the difference in a small base unit, such as seconds or minutes, and then convert once. For timestamps with different dates, a calendar-aware date-time calculation is essential: the number of days between the dates must be included. This also avoids errors around month ends and leap days. If the source records contain only dates, rather than times of day, a precise elapsed time in hours cannot be recovered from them.

Check Against Visit Records

A reconstructed value should be compared with the other timing information attached to the visit. That information may include a nominal visit label, a scheduled time, or a separately recorded actual elapsed time. These fields do not necessarily mean the same thing. A nominal value describes the intended or labelled sampling time; a value calculated from actual timestamps describes the observed timing relative to the chosen reference event. A difference between them is a reason to investigate, not automatic evidence that either field is wrong.

The comparison is most informative when the data record retains the pieces needed to reproduce it: the reference-event timestamp, the visit timestamp, the calculated elapsed time with units, and the available visit or nominal-time information. If the reconstructed and recorded values differ, check that the correct reference event was selected, that the timestamps belong to the same participant and relevant record, that dates and time zones were handled consistently, and that units were not confused. Only then decide whether a query or correction is warranted.

Worked Example: Comparing Reconstructed and Recorded Timing

In a hypothetical record, the documented reference event is at 07:50 on June 12, 2025. A sample is timestamped at 13:05 that day. The visit label says “5-hour sample,” and a separate timing field contains 5.0 hours. Assume the timestamps are on the same harmonized time basis and recorded to the nearest minute.

The timestamp difference is \(13{:}05-07{:}50=5\) hours \(15\) minutes. Converting to hours gives \(5+15/60=5.25\) hours. The reconstructed elapsed time is 5.25 hours, which is 0.25 hours, or 15 minutes, later than the recorded 5.0 hours.

The difference is much larger than the uncertainty attributable to minute rounding (quantified below), so rounding alone does not explain it. The visit label could denote a nominal target, while the timestamps represent the actual recorded time. The record should therefore be checked against its source and the meaning of each field. If the timestamps are confirmed, retain the distinction between the actual reconstructed time and the nominal 5-hour label rather than silently replacing one with the other.

Rounding and Timestamp Precision

A timestamp recorded to a particular resolution does not generally identify an exact underlying time. For instance, if a timestamp is rounded to the nearest minute, the underlying time may be up to half a minute earlier or later than the displayed value. This is a statement about rounding resolution, not necessarily about the accuracy of the clock or the quality of the original observation. A timestamp can be recorded to the nearest second while still having other sources of error.

Under the explicit assumption that each displayed timestamp was rounded to the nearest unit, let \(q_R\) and \(q_V\) be the rounding resolutions for the reference and visit timestamps, expressed in the same unit. Each underlying time is within half its resolution of the displayed time. Because elapsed time subtracts one timestamp from the other, the maximum rounding deviation is the sum of the two half-resolutions:

$$ \left|t_{\mathrm{true}}-t_{\mathrm{displayed}}\right| \leq \frac{q_R}{2}+\frac{q_V}{2} $$

This is a worst-case bound under the stated rounding assumption; it is not a confidence interval and does not assign probabilities to possible underlying times. If timestamps were truncated instead of rounded to nearest, the possible underlying times lie in different intervals, and the bound above should not be used without adjustment. The recording convention matters.

Worked Example: Mixed Timestamp Precision

Suppose a hypothetical reference timestamp is recorded as 09:15:30 to the nearest second, and a visit timestamp is recorded as 10:02 to the nearest minute. Assume both values were rounded to nearest, and both timestamps use the same harmonized time basis.

The displayed difference is \(10{:}02{:}00-09{:}15{:}30=46\) minutes \(30\) seconds, or 46.5 minutes. The reference resolution is 1 second and the visit resolution is 60 seconds. The maximum rounding deviation in the elapsed time is \(1/2+60/2=30.5\) seconds.

Thus, under these assumptions, the underlying elapsed time is bounded by \(46\text{ min }30\text{ s}\pm30.5\text{ s}\), or from 45 minutes 59.5 seconds to 47 minutes 0.5 seconds. Reporting the reconstructed value as 46.5 minutes is reasonable when clearly understood as calculated from the displayed timestamps; reporting it to tenths of a second would imply unsupported precision.

If both timestamps are recorded to the nearest minute, the maximum rounding deviation in their difference is one minute: \(0.5+0.5=1\) minute. If one timestamp is recorded only to the nearest day, its uncertainty can be as large as half a day under nearest-day rounding, so an elapsed time stated to a few minutes is not supported. When precision differs, the coarser timestamp often dominates the uncertainty, but both timestamps contribute.

A practical rule is to preserve the raw timestamps, calculate using their available values, document the output unit and precision, and avoid implying that displayed decimal places are newly observed information. A calculated value may be stored with computational precision for reproducibility, but a reported value should not be mistaken for exact knowledge of the event time.

Diagnostics, Alternatives, and Limitations

A reproducible calculation is not, by itself, proof that the inputs are correct. Diagnostics focus on whether the result is compatible with the source records and whether the calculation's assumptions hold. Investigate values that have unexpected signs, implausible magnitudes, a date difference that does not match the visit sequence, or a disagreement with a recorded timing field that exceeds what rounding can explain. Also check that the intended reference event—not a planned event or a different documented event—was used.

There are several reasonable representations of visit timing, but they answer different questions:

ApproachWhat it representsMain limitation
Elapsed time calculated from timestampsDifference between the documented reference and visit timesDepends on correct, sufficiently precise timestamps and reference-event selection
Recorded nominal time or visit labelPlanned or labelled timing of the visitMay differ from when the visit actually occurred
Separately recorded elapsed-time fieldA value supplied in another study record or data fieldMay use a different reference, unit, or rounding convention and needs validation

When trustworthy timestamps are available, direct reconstruction is a transparent way to check an elapsed-time field. A nominal time can still be useful for identifying the intended visit, but it should not be substituted for actual timing without a clear analysis reason. If the reference or visit timestamp is unavailable, a separately recorded elapsed-time field may be the only usable information; its source and meaning should then be documented rather than assumed.

The method cannot recover information that was never recorded. Date-only values do not establish time of day; coarse rounding cannot be undone; and a time-zone or clock error cannot be fixed by accurate subtraction. These limitations make preserving the original values and documenting any justified correction important. An unexplained discrepancy should be flagged for review, not “corrected” by choosing whichever field produces the most convenient elapsed time.

Common Pitfalls

  • Subtracting clock times but ignoring dates. A sample after midnight may appear to precede its reference event if only the clock readings are compared. Subtract complete date-times.
  • Treating nominal time as actual time. A “5-hour” visit label does not establish that the sample occurred exactly five hours after the reference event. Compare it with the reconstructed value and preserve the distinction.
  • Reporting false precision. A difference such as 46.5 minutes does not mean that the actual elapsed time is known to a fraction of a second when one timestamp is rounded to a minute.
  • Assuming rounding when the convention is unknown. The nearest-unit uncertainty calculation applies only when the values were rounded to nearest. Confirm the recording convention or state the assumption.
  • Changing a negative result to positive. A negative elapsed time may correctly indicate that a visit occurred before the selected reference event. Check the event choice and chronology instead of discarding the sign.
Key takeaway: Calculate elapsed time from the documented reference timestamp and the visit timestamp on a common time basis. Then compare it with the visit record, account for the precision and rounding convention of both timestamps, and report no more precision than the inputs support.

Check Your Understanding

For each question, first work out the timing, then compare your reasoning with the solutions.

  1. A hypothetical reference event occurs at 23:20 on August 4, and a visit occurs at 00:05 on August 5, on the same harmonized time basis. What is the elapsed time in hours?
  2. Both timestamps are rounded to the nearest minute. What is the maximum possible rounding deviation in their difference?
  3. A visit label says “2-hour sample,” but timestamps yield 2.4 hours. Should the calculated value automatically be replaced with 2.0 hours? Explain.
  4. A timestamp is recorded only as September 10, with no time of day. Can it support an elapsed-time value precise to the nearest minute? Why or why not?

Solutions. (1) From 23:20 to midnight is 40 minutes, and from midnight to 00:05 is 5 minutes, for 45 minutes total; \(45/60=0.75\) hours. (2) Each timestamp can differ from its underlying time by up to 0.5 minute, so the difference can deviate by up to \(0.5+0.5=1\) minute. (3) No. The reconstructed 2.4 hours describes the displayed timestamps, while the label may be nominal. Check the source records and field meanings; do not overwrite either value without justification. (4) No. Without time of day, the timestamp is too coarse to establish a minute-level elapsed time; report the limitation or seek a more precise source record.

Clinical Biostats