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Validering og evaluering af smertemedicinen digital arbejdsgangsalgoritme (PGS 1.0)

24. september 2026 opdateret af: PG Medical Systems Ltd.

Prospektiv validering og evaluering af ydeevne af algoritmen i Pain Medicine Digital Workflow (PGS 1.0)

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.

Studieoversigt

Status

Rekruttering

Betingelser

Detaljeret beskrivelse

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.

Undersøgelsestype

Observationel

Tilmelding (Anslået)

200

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiekontakt

  • Navn: Shany Blum, MD PhD
  • Telefonnummer: +972545331773
  • E-mail: shany@pgmeds.com

Studiesteder

      • Haifa, Israel, 31906
        • Rekruttering
        • Pain Medicine Institute, Rambam Health Care Campus
        • Ledende efterforsker:
          • Simon Vulfsons, MD
        • Kontakt:
        • Underforsker:
          • Amir Minerbi, MD PhD

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

18 år til 80 år (Voksen, Ældre voksen)

Tager imod sunde frivillige

Ingen

Køn, der er berettiget til at studere

Alle

Prøveudtagningsmetode

Ikke-sandsynlighedsprøve

Studiebefolkning

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

Beskrivelse

Inclusion Criteria:

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

Exclusion Criteria:

None

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

  • Observationsmodeller: CASE_ONLY
  • Tidsperspektiver: PROSPECTIVE

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Agreement by percent agreement
Tidsramme: 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).

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.

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).

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Agreement by Cohen's Kappa coefficient.
Tidsramme: 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).

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.

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).

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Sponsor

Efterforskere

  • Ledende efterforsker: Simon Vulfsons, MD, Rambam Health Care Campus

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Faktiske)

17. september 2025

Primær færdiggørelse (Anslået)

1. december 2026

Studieafslutning (Anslået)

1. februar 2027

Datoer for studieregistrering

Først indsendt

16. september 2025

Først indsendt, der opfyldte QC-kriterier

25. september 2025

Først opslået (Faktiske)

26. september 2025

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

25. september 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

24. september 2026

Sidst verificeret

1. september 2026

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • PG-100-004

Plan for individuelle deltagerdata (IPD)

Planlægger du at dele individuelle deltagerdata (IPD)?

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