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OpenTrials
Completed

NCT Number: NCT02820168

Designing a Programming Language for Patient-Oriented Prescriptions

The purpose of this study is to create a human-readable and executable computer language to implement medical prescriptions and to evaluate and refine this language, with the goal of improving safety and efficacy of patient care.

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Key information

Age range

18 year–50 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Northwestern Medicine Clinics, Chicago, Illinois, United States

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About this study

Preventable errors in healthcare are a leading cause of patient injury and death. Despite extensive effort and the expenditure of billions of dollars, computerization has failed to solve this problem. Research has shown that software design and debugging of a paper prescription markedly decreases the rate of injury and death associated with use of opioids in hospitalized patients. To further the application of insights from software engineering to the practice of medicine, the PIs will design and build a Patient-Oriented Prescription Programming Language (POP-PL) and evaluate if this new platform can be used to improve medical management of patients. The design of POP-PL will be based on building an understanding of the process of medical treatment of patients. This project is a collaboration between computer scientists and clinicians at Northwestern Medicine. The collaborating clinicians are co-investigators on this research project and also are providing healthcare to the patients that are being observed. The computer scientists and other research staff have undergone human subjects research training and are co-investigators on this research project as well. The clinician-investigators will oversee research project staff during all observations of patients, clinical encounters between healthcare providers and patients, and interactions between healthcare providers and healthcare information systems. Researchers involved in this study will observe interactions between health care providers and patients and will collate these observations with data from electronic data sources. Since this research is based mainly upon observation and chart review and will not involve any interventions or changes to patient care, the risk to study participants is minimal, involving inadvertent disclosure of healthcare information. This risk will be mitigated by anonymizing collected data.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Patients between the ages of 18 and 50 years old who receive care at the Northwestern Maternal Fetal Medicine Clinic (MFM)
  • Patients between the ages of 18 and 50 years old who visit Northwestern Medicine outpatient facilities and are patients of a clinician who is a coinvestigator on this project.
  • Patients who are between the ages of 18 and 50 years old, are hospitalized at Northwestern Medicine inpatient facilities, and are patients of a clinician who is a coinvestigator on this project.

Exclusion criteria

Treatment and study plan

Primary outcomes

  1. Evaluation of Differences between Ideal and Actual Performance of Prescriptions by Number of Deviations between Sequences of Events

    Time frame: 2 years

    Investigators will express the intent of prescriptions in prescription programming language. Investigators will then compare the actual performance of the prescription in a clinical environment to the performance of the prescription in a simulated environment based on the same inputs as occurred in the real clinical environment.

Sponsors and collaborators

Lead sponsor

Northwestern University

Other

Registry information

Acronym: POP-PL

Important dates

Study start
2016
Primary completion
2019
Study completion
2019
First posted
Jun 30, 2016
Registry last updated
Feb 12, 2019

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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