Industry digitalisation analysis

Dental Clinics: A Digitalization Analysis

Better coordinated visits and clearer administration of treatment

Digital maturity

Typical digital maturity

Shows the level of digitalisation companies in this line of business typically operate at.

The assessment considers use of core systems, how far processes are digitalised, integrations, data readiness and advanced use of data.

A 3 means ordinary, middling maturity. A 5 is given only where real-time data, automated decisions and advanced optimisation are already a routine part of core operations.

medium
Digitalisation potential

Digitalisation potential

Shows the scale of business impact digitalisation could have in this line of business.

It weighs economic leverage, the scope for digital impact, the scale and repetition of processes, value lost today, and the leverage of better data and decisions.

A business area’s score is calculated from five weighted dimensions. A sector’s score is derived from the scores of its business areas.

64/100
Biggest challenge
The treatment plan is fragmented between specialists, visits and documents
Biggest opportunity
Treatment plan aligned with visits and laboratory work

Operating model

The treatment plan is prepared by a doctor and the administration combines visits, laboratory work and an estimate with the patient. A specific office, assistant and equipment may be needed for the procedure.

One doctor or one profile cabinet

The cabinet plans one doctor's visits and keeps records of patients' treatment. The scope of administration depends on the length of procedures, repeated visits and the need for laboratory services.

A clinic of several specialties

One patient is treated by several specialists, and changing one stage affects the work of others.

Multi-stage Treatment Center

The treatment schedule depends on the clinically required breaks, dental technicians' work and changes to the plan. Performing the treatment stage and the payment received for it is recorded separately.

The Clinic Network

Patients and professionals can visit different units. Registration checks where the specialist is working and there are equipment suitable for the procedure.

Market context

Dental treatment can include multiple visits, laboratory work and patient-approved choices. It is important for the patient to understand the stages proposed by the doctor, their cost and preparation for the next visit. The clinic needs to align the cabinet, specialist and lab readiness according to the approved plan.

  • Stages of treatment depend on each otherChanges to the procedure or delays in laboratory work may require the relocation of several future visits.
  • Clear agreements with the patientUpdated estimate, terms and readiness information must reach the patient and administration.

Workflow and responsibilities

01

Review and Plan

The specialist prepares the clinical stages and the alternatives explained.

02

Scope alignment

The chosen plan, estimate and the course of consent required for a specific treatment are maintained.

03

Work and visit readiness

Laboratory ordering and resources are combined according to the permitted clinical sequence.

04

Treatment and replacement

The facts are kept and the correction reaches the affected participants in future work.

05

Control and settlement

The patient receives the care action intended by the specialist, the financial source confirms the actual payment.

Digital maturity scale

1

Separate records and manual work

Information is mainly held in separate files or notes. Employees pass it on and reconcile it manually.

2

Organised data within individual teams

Teams record their work consistently, but sharing information with colleagues still requires considerable manual checking.

3

Partially integrated systems

Core work is managed in systems. Some information is transferred automatically, but repeated data entry remains.

4

Coordinated systems and teams

Systems deliver the required data on time. Employees can see unfinished work and know who is responsible for resolving discrepancies.

5

Continuous measurement and improvement

The team checks data quality, evaluates results and uses them to improve operations. Automation is applied where its value can be demonstrated.

Executive conclusion

The coordinated stages of treatment help to plan the times more accurately and explain the price. The change must reach the patient and the professionals working with that stage.

Related topics

Patient self-service portalManagement of clinical processesFHIR integration

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