ClinicalTrials.gg
RecruitingNCT07195162Updated Sep 25, 2026

Validating and Evaluating the Pain Medicine Digital Workflow Algorithm (PGS 1.0)

An observational study in Chronic Pain, sponsored by PG Medical Systems Ltd.. Recruiting at 1 site in Israel. Open to participants aged 18 Years to 80 Years. Per ClinicalTrials.gov, last updated 2026-09-25.

Sponsored by PG Medical Systems Ltd. · Observational

From the registry’s dates

  • Started Sep 2025; still recruiting 1 year 1 month later.
Updated Sep 25, 2026Primary completion movedStudy completion movedGo to Updates ↓
Study type
Observational
Model
Case-only
Time perspective
Prospective
Enrollment
200
Ages
18 Years to 80 Years
Sex
All
01

Study summary

This is a prospective, non-randomized, double blind, single center, single arm, validation study, to evaluate the performance of PGS 1.0 algorithm in analyzing pain specific symptoms and medical history data of pain patients referred to a pain expert consultation.

Read the detailed description

Background and Rationale:

Chronic pain is a global epidemic. On average, 20% of the Western population suffers from chronic pain, and in some countries, such as the U.S., the number reaches up to 30%. When chronic pain is not properly diagnosed and treated, it leads not only to patient suffering but also to serious comorbidities, increased use of healthcare services, and, in growing numbers, addiction and misuse of prescription drugs.

Pain medicine, a relatively young medical field, offers evidence-based diagnosis and treatment tailored to the patient's pain mechanisms. However, there is a major gap between the large number of patients and the very limited number of pain specialists (around 4,000 in the U.S. and about 80 in Israel). This shortage leads to extremely long waiting times (5-6 months) while patients continue to suffer.

To help close this gap, PG Medical Systems, together with Dr. Simon Wolfson (Head of the Pain Institute at Rambam Health Care Campus), developed an algorithm that analyzes patient symptoms and provides recommendations for pain diagnosis and treatment pathways.

Study Objective:

The study aims to prospectively validate the algorithm's performance by collecting patient data via an online questionnaire at the Rambam Pain Institute. The results will compare the algorithm's diagnoses to those of pain specialists.

Study Procedures:

Patients visiting the Rambam Pain Institute (first-time or follow-up appointments) will be invited to join the study. After signing informed consent, they will complete an online questionnaire with the help of a research assistant. This is a one-time activity, following their medical consultation. The study does not involve additional clinical follow-up. Participation will not affect the patient's diagnosis or treatment.

Duration:

Each participant will spend about 45-60 minutes, including the consent process and questionnaire completion.

Compensation:

Participants will receive 100 NIS for their time.

Data Management and Privacy:

The study will collect only non-identifiable patient data. Each participant will be assigned a code number. Identifying details will remain securely stored at Rambam, linked only by the consent form. This allows for possible follow-up research but ensures that the sponsor company has access only to de-identified data.

Data Security:

All data is stored on Amazon's secure cloud with advanced encryption. Access requires strict authentication, servers are closed to public internet, and only approved private networks can connect. All data is encrypted in transfer and storage. Importantly, the system does not collect identifiable patient information.

02

Conditions studied

  • Chronic Pain

Keywords

  • Chronic Pain
  • Diagnosis
  • Algorithm
03

In context

Chronic Pain

3,227 studies on the registry are indexed under Chronic Pain; 729 are open to participants now.

This study's planned enrollment of 200 is above the median of 120 across 753 observational studies indexed under Chronic Pain.

Browse Chronic Pain studies →

Lead sponsor

This is the only study on the registry with PG Medical Systems Ltd. as lead sponsor.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Male and Female patients aged 18-80, consecutively all patients referred to a pain expert.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Patient is willing and capable of providing .
  • Pain persisting for at least 1 month.

Exclusion criteria

Exclusion Criteria:

None

Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Case-only
Time perspective
Prospective
Enrollment
200 participants (estimated)
Patient registry
No
06

What researchers measure

Primary outcomes

  1. Agreement by percent agreement

    Interrater reliability defined as the agreement between the PGS 1.0 algorithm and Pain Expert in rating pain patients' pain diagnosis as measured by percent agreement.

    Time frame: At the completion of patients' enrollment, agreement will be assessed between PGS 1.0 diagnosis and the expert diagnosis per patient (diagnosis of expert at the intake to the pain clinic and PGS 1.0 diagnosis as per the data the patient filled in).

Secondary outcomes

  1. Agreement by Cohen's Kappa coefficient.

    Interrater reliability defined as the agreement between the PGS 1.0 algorithm and Pain Expert in rating pain patients' diagnosis as measured by Cohen's Kappa coefficient.

    Time frame: At the completion of patients' enrollment, agreement will be assessed between PGS 1.0 diagnosis and the expert diagnosis per patient (diagnosis of expert at the intake to the pain clinic and PGS 1.0 diagnosis as per the data the patient filled in).

07

Study locations

1 of 1 sites recruiting
  • Pain Medicine Institute, Rambam Health Care Campus
    Haifa, 31906, Israel
    Recruiting
    • May Haddad, PhD · Contactma_haddad@rambam.health.gov.il · +97247772166
    • Simon Vulfsons, MD · Principal investigator
    • Amir Minerbi, MD PhD · Sub investigator
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

1 registry update since Sep 25, 2026
Primary completion
Mar 31, 2026→Dec 2026
Sep 25, 2026
Study completion
May 31, 2026→Feb 2027
Sep 25, 2026
Show all 1 update
  1. Sep 25, 2026
    Primary completion Mar 31, 2026→Dec 2026
    Study completion May 31, 2026→Feb 2027
    + 1 other change: verification date

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07195162
Lead sponsor
PG Medical Systems Ltd.
Responsible party
Sponsor
First posted
Sep 26, 2025
Start date
Sep 17, 2025
Primary completion
Dec 2026 (estimated)
Completion
Feb 2027 (estimated)
Last update
Sep 25, 2026

Study contacts

Shany Blum, MD PhD
Contact
shany@pgmeds.com
+972545331773
Simon Vulfsons, MD
principal investigator · Rambam Health Care Campus

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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