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ePoster session 5 – Station 2
EP151 Development of an automated chronic pain registry capturing outpatient treatments and patient- reported outcomes
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  1. Alexandra Sideris1, 2, 3,
  2. Justas Lauzadis1,
  3. Vinicius Antao4,
  4. Jennifer Cheng5,
  5. Ellen Casey5,6,
  6. Joel Press5,7,
  7. Daniel Richman1,2 and
  8. Semih Gungor1,8
  1. 1Department of Anesthesiology, Critical Care and Pain Management, Hospital for Special Surgery, New York, USA
  2. 2Department of Anesthesiology, Weill Cornell Medicine, New York, USA
  3. 3HSS Research Institute, Hospital for Special Surgery, New York, USA
  4. 4Center for the Advancement of Value in Musculoskeletal Care, Hospital for Special Surgery, New York, USA
  5. 5Department of Physiatry, Hospital for Special Surgery, New York, USA
  6. 6Department of Rehabilitation Medicine, Weill Cornell Medical College, New York, USA
  7. 7Department of Rehabilitation Medicine, Weill Cornell Medicine, New York, USA
  8. 8Department of Anesthesiology, Weill Cornell Medical College, New York, USA

Abstract

Background and Aims A variety of treatments are utilized in outpatient settings to manage chronic pain. Evidence for long-term treatment effectiveness is lacking, particularly for rare conditions such as complex regional pain syndrome (CRPS). There is limited patient- and encounter-level data from outpatient pain clinics to guide practice and spur innovation. The goal of this project was to create an automated, standard of care analytical registry embedded within a single institution’s electronic health record system that can be used as a clinical and research tool.

Methods After IRB approval, logic functions were programmed within the electronic health record (Epic) to automatically identify new patients who meet inclusion criteria of having a spine-related or neuropathic pain condition. For every registry patient, the database is being programmed to save key metrics and outcomes including demographics, history of present illness, interventional procedures performed and patient-reported outcomes over 2 years (figure 1).

Results As of the registry go-live (January 20, 2022) through April 30, 2023, the census includes 11,804 active patients, of which 1.2% (n=146) suffer from CPRS type 1 (figure 2). Collectively, patients were treated by 26 providers in the pain management and physiatry departments at over eight locations in the New York tri-state area.

Abstract EP151 Figure 1
Abstract EP151 Figure 1

Registry inclusion criteria and workflow

Abstract EP151 Figure 2
Abstract EP151 Figure 2

Registry patients with a diagnosis of Complex Regional Pain Syndrome (CRPS) Type 1

Conclusions This registry represents a proof-of-concept, automated data repository collecting key metrics and longitudinal outcomes from patients being treated for chronic, subacute and acute pain across affiliated outpatient clinics. It will serve as a data-driven tool to facilitate dialogue between providers and patients, promote quality assurance, and enable research and innovation in pain management.

Gungor_2021-0076_Outpatient_Pain_Registry_CR_approved_2022-2023

  • chronic pain
  • registry
  • automated
  • electronic health record
  • interventions
  • patient expectations
  • patient-reported outcomes

https://doi.org/10.1136/rapm-2023-ESRA.212

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