Andi Assess
AI-generated draft
Independent living assessment report
General Behavioural and Daily-Living Evidence Report
Across 62 behavioural days, the individual's telemetry shows a home-centred pattern with bedroom and living room accounting for the largest occupied time, an average overnight longest quiet period of 112 minutes, and an average of 1.5094 overnight bathroom episodes per analysed night.
Assessment at a glance
RAG shows priority for professional review. Confidence shows the strength of the observation.
Amber
Moderate confidence
Overnight activity and quiet periods
Overnight periods were frequently interrupted by detected movement, with 39 of the analysed nights meeting the combined criterion of a longest...
Amber
Moderate confidence
Bathroom use
Bathroom use was frequent and concentrated around a morning peak, with a modest increase across the period from 6.6 to 8.05 episodes per day.
Amber
Moderate confidence
Movement and overall activity levels
Detected movement follows a daytime-weighted profile with morning and evening peaks, alongside a marked rise in daily episode counts from mid-...
Green
Moderate confidence
Room occupancy and use of the home
Time within the property is concentrated in the bedroom and living room, with the hallway functioning as a brief transit space.
Amber
Low confidence
Property exits and time away from home
Recorded absences appear only from 2026-05-14 onward, after which exits are frequent and substantial time is recorded away from the property, ...
Amber
Low confidence
Routine consistency
Day start and end times varied widely while the broader shape of the day showed moderate similarity between consecutive days.
Red prompt review ·
Amber discuss or check ·
Green no notable adverse change identified ·
Grey not assessable or not reportable
- Service-user reference
- dfdfdf
- Assessment period
- Requested 2026-04-01 to 2026-06-30 (Europe/London); telemetry observed 2026-04-20 to 2026-06-23 across 62 behavioural days of 91 calendar days.
- Generated
- August 03, 2026
Assessment finding
Overnight activity and quiet periods
Amber
Moderate confidence
What was detected
- Across 53 analysed nights, the average longest quiet period was 112 minutes, the median 95 minutes and the shortest 8 minutes.
- Overnight bathroom episodes averaged 1.5094 per night (80 episodes across 53 nights), with 11 nights recording three or more and 13 recording none.
- Nightly longest quiet values ranged widely, for example 308 minutes on 2026-05-11 and 19 minutes on 2026-05-30.
01
Pattern identified
Overnight periods were frequently interrupted by detected movement, with 39 of the analysed nights meeting the combined criterion of a longest quiet period under 120 minutes or at least three bathroom episodes.
02
Why this may matter
- Frequent short quiet periods may reflect movement in and around the bedroom, continence or comfort needs, or environmental factors, and should be interpreted alongside the individual's own account.
- The pattern could indicate variability in night-time routine, but telemetry cannot confirm sleep, waking, sleep quality or sleep disruption.
- Nights with no detected overnight bathroom episode may reflect absence from the property or non-detection rather than absence of activity.
03
What to explore
- How does the individual describe their nights, and does this align with the observed pattern of short quiet periods?
- Are there known reasons for night-time bathroom use that the individual or their supporters can describe?
- Is any night-time support currently provided, and how is it experienced?
What the data cannot tell us
Overnight movement and quiet periods are not proof of sleep, waking, sleep quality or sleep disruption. and Only 53 nights were analysed within a 91-day requested period, and 29 assessment days contain no telemetry (coverage:missing-days).
Assessment finding
Bathroom use
Amber
Moderate confidence
What was detected
- 483 bathroom episodes were recorded, averaging 7.7903 per behavioural day with an average duration of 470 seconds and a median of 408 seconds.
- 83 episodes lasted longer than ten minutes and the longest single episode was 2344 seconds.
- The most common hour for bathroom episode starts was the 08:00 hour, and daily counts ranged from 0 on 2026-04-25 to 17 on 2026-05-29.
01
Pattern identified
Bathroom use was frequent and concentrated around a morning peak, with a modest increase across the period from 6.6 to 8.05 episodes per day.
02
Why this may matter
- Longer bathroom episodes may be consistent with personal care routines, mobility taking more time, or periods of rest, and cannot be attributed to any single explanation from telemetry.
- The increase in daily episodes could indicate a change in continence, fluid intake or routine, and should be interpreted alongside health information held by the practitioner.
- Days with zero recorded episodes may reflect missing telemetry or absence from the property rather than no bathroom use.
03
What to explore
- Has the individual noticed any change in how often or how long they use the bathroom?
- Are the longer episodes associated with washing or bathing routines, and is any support used?
- Is there any health or medication context that a practitioner should weigh alongside this pattern?
What the data cannot tell us
Episode durations are derived from persisted sensor episodes and do not describe what activity took place. and Absence of a detected event does not prove that an activity did not occur.
Assessment finding
Movement and overall activity levels
Amber
Moderate confidence
What was detected
- Room episodes averaged 44.7742 per behavioural day and room transitions averaged 27.1613 per behavioural day, with a day-to-night episode ratio of 3.878735.
- Hourly episode counts peaked at 270 in the 08:00 hour and 205 in the 21:00 hour, with the lowest counts in the 13:00 hour (34) and 01:00 hour (39).
- The longest recorded daytime gap between consecutive room episodes on the same day was 460 minutes.
01
Pattern identified
Detected movement follows a daytime-weighted profile with morning and evening peaks, alongside a marked rise in daily episode counts from mid-May onwards.
02
Why this may matter
- The sustained rise in detected episodes may reflect genuine behavioural change, a change in who is present in the property, or a change in sensor detection, and cannot be attributed from telemetry alone.
- Long daytime gaps may be consistent with time out of the property or with periods of rest in a location with limited sensor coverage.
- Evening activity peaks may reflect established routine and should be interpreted alongside the individual's description of their day.
03
What to explore
- Did anything change in mid-May in the individual's circumstances, household or equipment?
- How does the individual describe their typical day, and does the morning and evening pattern match?
- Are long daytime gaps explained by time out of the property or by activities in unmonitored areas?
What the data cannot tell us
Sensor installation continuity and like-for-like coverage across comparison periods have not yet been independently verified. and 55757 in-period telemetry events retain an unknown classification (telemetry:unknown-classification), which may affect how detected activity is represented.
Assessment finding
Room occupancy and use of the home
Green
Moderate confidence
What was detected
- Bedroom occupancy averaged 404.3745 minutes per behavioural day and living room occupancy 258.6981 minutes, with bathroom at 60.9887 and hallway at 12.6973 minutes.
- The hallway accounted for the largest share of room episodes (0.3588) with a median duration of 18 seconds, while the bedroom accounted for 0.1664 of episodes with a median duration of 1026 seconds.
- The longest single bedroom episode was 36728 seconds and the longest living room episode was 17910 seconds.
01
Pattern identified
Time within the property is concentrated in the bedroom and living room, with the hallway functioning as a brief transit space.
02
Why this may matter
- Extended bedroom occupancy may reflect night-time rest, daytime resting or preference for that space, and cannot be distinguished by telemetry.
- The very long single episodes may be consistent with sustained presence or with periods where movement was too limited to generate new episodes.
- No kitchen sensor data is represented, so meal preparation and nutrition-related activity cannot be described.
03
What to explore
- Where does the individual say they spend most of their time, and is that by preference or necessity?
- Is there any monitoring of kitchen or food preparation areas that could be discussed at the review?
- Do the very long occupancy episodes correspond to known routines such as rest or television use?
What the data cannot tell us
Average detected kitchen minutes per behavioural day could not be checked because the evidence metric is unavailable (validation:kitchen_minutes_per_day). and Room-level source trigger counts were not reportable and cannot be used to support any finding.
Assessment finding
Property exits and time away from home
Amber
Low confidence
What was detected
- 595 property absence episodes were recorded, averaging 9.5968 exits per behavioural day and 367.0806 minutes out of the property per behavioural day.
- 22 behavioural days recorded no exit, the longest single absence was 775 minutes, and 15 absences lasted longer than six hours.
- Daily exit counts were recorded as 0 on every behavioural day up to and including 2026-05-13 and then 14 on 2026-05-14, with later values such as 27 on 2026-05-29 and 0 on 2026-06-23.
01
Pattern identified
Recorded absences appear only from 2026-05-14 onward, after which exits are frequent and substantial time is recorded away from the property, tapering in the final weeks.
02
Why this may matter
- The absence of any recorded exits before 2026-05-14 may reflect front-door sensor availability or configuration rather than the individual remaining indoors.
- The high exit counts from mid-May may be consistent with frequent short door openings, visitors, or repeated brief trips, and should be interpreted alongside what is known about the household.
- The reduction in exits during late June may reflect changed routine, changed detection, or the reduced telemetry at the end of the period.
03
What to explore
- Was any door sensor installed, replaced or reconfigured in mid-May 2026?
- How often does the individual usually leave the property, and who else uses the front door?
- Do long absences correspond to known appointments, social activity or stays elsewhere?
What the data cannot tell us
Sensor installation continuity and like-for-like coverage across comparison periods have not yet been independently verified. and Front door events cannot distinguish between the individual and other people entering or leaving.
Assessment finding
Routine consistency
Amber
Low confidence
What was detected
- The first-activity and last-activity consistency scores were both 0.0, with standard deviations of 276.76 and 429.56 minutes across 60 observed days.
- The overall hourly profile similarity score across 62 behavioural days was 0.5882.
- First morning activity averaged 04:49 with a standard deviation of 56 minutes across 50 observed values.
01
Pattern identified
Day start and end times varied widely while the broader shape of the day showed moderate similarity between consecutive days.
02
Why this may matter
- Wide variation in first and last activity times may reflect a flexible lifestyle, variable nights, or days spent away from the property.
- The consistency scores are bounded at zero and therefore indicate that variation exceeded the 120-minute scaling used by the method rather than a graded measure of irregularity.
- Variability could indicate differing support or visitor patterns across days and should be interpreted alongside care records.
03
What to explore
- Does the individual describe a regular daily routine, and what shapes when their day begins and ends?
- Are there days each week with a different pattern, such as appointments or social commitments?
- Would a more consistent routine be a goal the individual wishes to discuss at review?
What the data cannot tell us
Consistency scores are derived from detected room-episode times and are affected by missing telemetry days. and These scores are descriptive of the supplied calculation only and carry no clinical reference or comparison group.