ClearviewData & AutomationDiscuss a reportContact

Healthcare data & reporting specialist

Get more from your health data.

Specialist patient reporting, clinical dashboards and data solutions for medical practices and healthcare organisations.

When your PMS holds the information but standard reports can't answer your question, Clearview investigates the underlying data and builds reporting around your requirements.

Tell me what you need to report on Explore healthcare reporting examples
15 yearsin healthcare data & PMS reporting
20+ yearsin software development

Work directly with the person analysing and building your solution.

Defined cohorts. Traceable results.
Clinical Audit WorkspaceEXAMPLE / 01

Illustrative interface · Synthetic data

From cohort to clinical context

30 SEP 2026
Defined cohortActive sample · Age 40+ · Diabetes recordedDiagnoses + pathology + observations + medication context
Patients in cohort06Matching agreed criteria
Review due02Illustrative 180-day rule
Missing information02Result, observation or date
01 Oct 2025 – 30 Sept 2026
Synthetic patient records. Select an identifier to see the reporting context.
PatientSelected HbA1cReporting status
61 mmol/mol18 June 2026Criterion unmetReview date outside interval
54 mmol/mol10 Sept 2026Criterion met
No usable resultMissing information
57 mmol/mol08 Dec 2025Criterion met
60 mmol/mol20 Aug 2026Criterion unmetReview date outside interval
55 mmol/mol06 July 2026Missing information

6 of 6 cohort records shown

Why this record?

PT-1042

Practitioner 01

Age 54, diabetes recorded. Included by the cohort definition.

Medication
Group A
Selected systolic BP
144 mmHg
Last review
03 Feb 2026

Usable values are recorded, but the combined illustrative criterion is not met.

Explore result-selection logic

Illustrative rules: latest final numeric values in period; HbA1c ≤58 and systolic BP ≤140. Not clinical guidance. Flags may overlap.

Change the period or location. Inspect the records behind the result.

Beyond the standard reports

When standard PMS reporting isn't enough.

A valuable healthcare question can span diagnoses, pathology, observations, medications, demographics, appointments and clinical activity. Standard practice-management-system reports may expose each separately, without combining them according to the logic you need.

Bring me the question. I'll investigate the available data, agree the reporting definitions with you, and establish what can be answered safely and reliably — from the correct patient cohort to meaningful measures and the records behind them.

Turn a one-off audit into reporting you can run again.A repeatable report, dashboard or dataset that extends what you can understand from your existing PMS.

Specialist healthcare reporting

Your question.
The logic behind the answer.

From an individual clinical audit to recurring population-health reporting. Explore illustrative applications of the same skill: making complex health data interpretable and repeatable.

01 / CHRONIC DISEASE & CLINICAL AUDIT

Clinical context.
Across records and time.

“Which patients meet the agreed clinical criteria, what investigations and observations are recorded, and which records require review?”

  • Diagnoses, medication context and dated results considered together
  • Explicit rules for selecting relevant observations
  • Missing values distinguished from unmet criteria
Chronic Disease & Clinical Audit Reporting
Record history & reporting logicAUDIT DEFINITION / v1

Illustrative interface · Synthetic data

Selection rule: use each source’s latest final numeric value inside the period ending 30 Sep 2026. Keep earlier and excluded results visible.

PT-1042 · Age 54Diabetes recordedMedication Group ASite A

HbA1c history / mmol/mol

  1. Value missingExcluded · preliminary result
  2. 61 mmol/molSelected · latest final numeric value
  3. 55 mmol/molEarlier eligible result · retained in history

Systolic BP history / mmHg

  1. 144 mmHgSelected · latest final numeric value
  2. 136 mmHgEarlier eligible result · retained in history
Criterion unmet

Both selected values are available. At least one falls outside the illustrative threshold; this is a confirmed unmet reporting criterion.

Inclusion: active sample, age 40+, diabetes recorded. Medication groups are fictional reporting categories.

Illustrative reporting criteria: HbA1c ≤58 mmol/mol AND systolic BP ≤140 mmHg. Timeframes and thresholds demonstrate reporting logic, not clinical guidance or care recommendations.

02 / POPULATION HEALTH & KPI REPORTING

Define once.
Report again.

“What proportion of the eligible population meets this measure, how is that changing over time, and which records sit behind the result?”

Population measure registerDEFINITION / v1

Illustrative interface · Synthetic data

Eligible population with a qualifying record5 / 7Numerator / denominator · 71%
0 ppvs previous snapshot1 missing information

01 Oct 2025 – 30 Sept 2026
Same definition at every snapshot: active sample aged 40+ at period end; at least one final numeric HbA1c result in the preceding 12 calendar months. Missing information stays in the denominator.

3 of 7 eligible records · select an identifier
PatientQualifying dateMeasure status
18 June 2026Recorded
10 Sept 2026Recorded
Not availableMissing information

PT-1042: included in the numerator and denominator. Site A · Practitioner 01.

Rerun the definition; compare the periods; inspect the records. Illustrative population-health / CQI measures, not official nKPI definitions.

03 / PREVENTATIVE HEALTH & CARE-GAP ANALYSIS

Eligibility. Activity.
The gaps between.

“Who was eligible during the reporting period, who had the relevant activity recorded, and where are the gaps?”

Testing programme coverageROLLING REVIEW

Illustrative interface · Synthetic data

Eligible patients7Illustrative age 40+ rule
Activity recorded4 / 757% of eligible patients
Information missing1Completeness unresolved

01 Oct 2025 – 30 Sept 2026
Assign each eligible patient by their latest recorded test in the window. Follow-up is counted only when dated by period end.

Select a group to inspect its records
Activity contextPatientsFollow-up recorded
22
21
2Not assessable
1Not assessable
Other presentation / 2 records

PT-1187 · 10 Sept 2026
Follow-up not recorded

PT-1638 · 06 July 2026
Follow-up recorded

Illustrative eligibility and timeframes, suitable for exploring screening or testing questions. No recorded activity does not establish that care was not provided.

04 / CLINICAL DATA & RESEARCH EXTRACTS

A defined cohort.
A repeatable dataset.

“Can we reliably define this cohort and produce the required variables in a repeatable, appropriately de-identified dataset?”

  • Explicit inclusion and exclusion logic
  • Clinical and operational variables over time
  • Data access, privacy and suitability assessed for the requirement
Custom Clinical Data & Research Extracts
Cohort & extract definitionSAVED SPECIFICATION / v1

Illustrative interface · Synthetic data

Included: active sample, age 40+, diabetes recorded.
Excluded: records outside the age rule or without a recorded diagnosis. Reporting snapshot: 30 Sep 2026.

Source patients8
Included patients6
Excluded patients2
Aggregate preview · no patient identifiers
LocationIncludedAge 60+
Site A31
Site B32
Export held · review required

Proposed identifier handling: grouped output; assess small groups and disclosure risk. Tokenisation alone does not establish de-identification.

Data access, purpose, privacy and suitability require assessment for each request before an extract is released.

A saved cohort and variable definition supports repeatable research and evaluation extracts. Preview only; no patient dataset is exported.

Also within healthcare

Health service & operational reporting

Appointments, practitioner activity, locations, service utilisation and programs — brought together for recurring management reporting.

Service activity / monthly reportSEP 2026 · PROGRAM A

Illustrative interface · Synthetic data

Recurring definition: recorded attendance / booked appointments
Location / practitionerBookedAttended
Site APractitioner 01120108 90% attendance
Site BPractitioner 0210087 87% attendance

220 appointments · 195 recorded attendances · 89% overall. Counts represent appointments, not unique patients.

These are illustrative reporting questions, not existing customer projects. Bring your own requirement: I’ll investigate whether the data your organisation holds can support a safe, reliable answer.

Beyond healthcare

The same expertise,
beyond healthcare.

Healthcare reporting is my specialisation. I also build business dashboards, operational reports, integrations, reconciliation tools, workflow automation and internal applications for other industries.

Data integration & reconciliationORDER SYNC

Illustrative interface · Synthetic data

6 compared3 matched2 mismatches1 pending
SO-1048 · quantity mismatch

Source: 24 units · Destination: 20 units.
A record-level difference the team can investigate.

Reporting & workflow automationMONTHLY RUN

Illustrative interface · Synthetic data

01 / Extracted02 / Validation flagged03 / Export held
2 records missing a location

2,140 records checked · 2,138 passed.
The scheduled export waits for the flagged records to be resolved.

The approach

Bring the question.
I'll work out the technology.

You don't need to know what technology you need. You'll work directly with the person investigating the data and building your solution.

  1. 01

    Understand

    Start with the question you need answered and how the result will be used. You don't need a technical brief.

  2. 02

    Investigate

    I examine the available data, access requirements and definitions to establish what can be reported safely and reliably.

  3. 03

    Define & build

    We agree cohort criteria, result-selection rules and measures. I build the reporting and check it with you against the underlying records.

  4. 04

    Repeat & refine

    Rerun the agreed definitions for new reporting periods, compare results and refine the reporting as your requirements change.

15
Years working with healthcare data and PMS reporting.

Extracting and interpreting underlying practice data for reporting that standard software cannot provide.

20+
Years of software development experience.

Hands-on experience across data, reporting, dashboards, integrations, automation and internal applications.

AI where it helps: practical querying, classification and analysis for a specific need, with appropriate data handling and checks.

Start with your reporting question

What do you need to report on?

Tell me the question you need answered, the system you use and what the standard reports aren't giving you.

I'll investigate what's possible with the data you already hold.

No technical specification needed.
You're talking to the person who analyses and builds it.

Tell me what you need to report on

Fields marked * are required

Do not include patient-identifiable or sensitive clinical information in this form.