DESIGNING A PROGRAMMING LANGUAGE FOR PATIENT-ORIENTED PRESCRIPTIONS (POP-PL)
| Status: | Enrolling by invitation |
|---|---|
| Healthy: | No |
| Age Range: | Any - 79 |
| Updated: | 2/14/2019 |
| Start Date: | January 17, 2019 |
| End Date: | June 2026 |
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
implement medical prescriptions and to evaluate and refine this language, with the goal of
improving safety and efficacy of patient care
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.
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.
Inclusion Criteria:
- Patients seen at Northwestern Memorial Hospital, Northwestern Medicine Clinics, Lurie
Children's Clinics, and Lurie Children's Hospital between the ages of 0-79.
Exclusion Criteria:
- Patients without data within the NMEDW medical record database or LCH CDW or BIS
medical record database.
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