Pharmaceutical analysis of inpatient prescriptions: systematic observations of hospital pharmacists' practices in the early user-centered design phase (Preprint) DOI Creative Commons
Jesse Butruille, Natalina Cirnat,

Mariem Alaoui

и другие.

JMIR Human Factors, Год журнала: 2024, Номер 12, С. e65959 - e65959

Опубликована: Ноя. 25, 2024

Abstract Background The health care sector’s digital transformation has accelerated, yet adverse drug events continue to rise, posing significant clinical and economic challenges. Clinical decision support systems (CDSSs), particularly those related medication, are crucial for improving patient care, identifying drug-related problems, reducing events. Hospital pharmacists play a key role in using CDSSs management safety. Human factors ergonomics (HFE) methods essential designing effective, human-centered CDSSs. HFE involves 3 phases—exploration, design, evaluation—with exploration being critical often overlooked the literature. For medication-related CDSSs, understanding hospital pharmacists’ tasks challenges is vital creating user-centered solutions. Objective This study aimed explore actual practices identify needs of analyzing electronic prescriptions. focused on preliminary stage design pharmacist-centered CDSS. Methods involved observing 16 across 5 hospitals mainland France (a university hospital, 2 large general hospitals, smaller specialized clinic). Pharmacists were selected regardless expertise. observation method—systematic situ with shadowing posture—involved following as they analyzed Researchers recorded activities, tools used, verbalizations, behaviors, interruptions, an grid. Data analysis modeling cognitive work, categorizing activities by action type, specificity, information source. Sequential time data distance matrices used generate hierarchical clustering similarity groups among analyses. Each group was described its typical sequences covariates. Results In total, validated prescriptions 140 patients, averaging 5.48 minutes per patient. They spend 91% their searching rather than transmitting it. Most comes from list prescriptions, but it spent medical records (EMRs) that dominates at heart analysis. Pharmaceutical interventions most frequently transmitted last third sequence. pharmaceutical analyses grouped into 4 clusters: (cluster A, 22%) interventionist extensive crossing various sources almost systematic interventions; B, 52%) common focusing EMRs biology results; C, 13%) logistical analysis, pharmacy workflow medication circuit; D, quick, trivial based exclusively Conclusions process complex multifaceted. detectives, accessing wealth discriminate problems respond accordingly. also carry out different types which lead require solutions exploratory prerequisite meeting challenge pharmacists.

Язык: Английский

Designing an interoperable solution to support pharmacogenomic-guided prescribing in primary care: an implementer report DOI Creative Commons
Videha Sharma, John McDermott, Jessica Keen

и другие.

BMJ Health & Care Informatics, Год журнала: 2025, Номер 32(1), С. e101163 - e101163

Опубликована: Апрель 1, 2025

Study objectives Describe the implementation of an interoperable solution to support pharmacogenomic-guided prescribing in primary care National Health Service, England. Methods We used iterative approach software development going through clinical workflow mapping, architecture design and development, pilot-testing. Results configured a commercial health data management platform store pharmacogenomic results structured format created knowledge base guidance. This was deployed ‘as-a-service’ using open application programming interface (API) specification, allowing third parties receive guidance by querying service patient identifier medicine code. integrated with existing decision tools presented contextual information prescribers within their native electronic record (EHR). Discussion Pharmacogenomic will be across settings have greatest utility at point prescribing. requires solution, which separates from applications, integration different EHRs APIs. Conclusions A vendor-agnostic standards-based can care.

Язык: Английский

Процитировано

0
Pharmaceutical analysis of inpatient prescriptions: systematic observations of hospital pharmacists' practices in the early user-centered design phase (Preprint) DOI
Jesse Butruille, Natalina Cirnat,

Mariem Alaoui

и другие.

Опубликована: Сен. 4, 2024

BACKGROUND The healthcare sector's digital transformation has accelerated, yet adverse drug events (ADEs) continue to rise, posing significant clinical and economic challenges. Clinical Decision Support Systems (CDSS), particularly those related medication, are crucial for improving patient care, identifying Drug-Related Problems (DRPs) reducing ADEs. Hospital pharmacists play a key role in utilizing CDSS management safety. Human Factors Ergonomics (HFE) methods essential designing effective, human-centered CDSS. HFE involves three phases: exploration, design, evaluation, with exploration being critical often overlooked literature. For medication-related CDSS, understanding hospital pharmacists' tasks challenges is vital creating user-centered solutions. OBJECTIVE aim of this study explore the actual practices identify needs analyzing electronic prescriptions. This focuses on preliminary stage design pharmacist-centered METHODS involved observing 16 across five hospitals mainland France, including university hospital, two large general hospitals, smaller specialized clinic. Pharmacists were selected regardless expertise. observation method used systematic situ shadowing posture, following as they analyzed Researchers recorded activities, tools used, verbalizations, behaviors, interruptions, using an grid. Data analysis focused modeling cognitive work, categorizing activities by action type, specificity, information source. Sequential time data distance matrices employed generate hierarchical clustering similarity groups among analysis. Each group described its typical sequences covariates. RESULTS validated prescriptions 140 patients, averaging 5.48 minutes per patient. They spend 91% their searching rather than transmitting it. Most comes from list but it's spent Electronic Medical Record (EMR) that dominates at heart Pharmaceutical interventions most frequently transmitted last third sequence. pharmaceutical grouped into four clusters: A (22%): Interventionist extensive crossing various sources almost interventions. B (52%): common focusing EMR biology results. C (13%): Logistical analysis, pharmacy workflow medication circuit. D Quick, trivial analyses based exclusively CONCLUSIONS process complex multifaceted. detectives, accessing wealth order discriminate DRPs respond accordingly. also carry out different types which lead require solutions exploratory prerequisite meeting challenge support pharmacists.

Язык: Английский

Процитировано

0
Pharmaceutical analysis of inpatient prescriptions: systematic observations of hospital pharmacists' practices in the early user-centered design phase (Preprint) DOI Creative Commons
Jesse Butruille, Natalina Cirnat,

Mariem Alaoui

и другие.

JMIR Human Factors, Год журнала: 2024, Номер 12, С. e65959 - e65959

Опубликована: Ноя. 25, 2024

Abstract Background The health care sector’s digital transformation has accelerated, yet adverse drug events continue to rise, posing significant clinical and economic challenges. Clinical decision support systems (CDSSs), particularly those related medication, are crucial for improving patient care, identifying drug-related problems, reducing events. Hospital pharmacists play a key role in using CDSSs management safety. Human factors ergonomics (HFE) methods essential designing effective, human-centered CDSSs. HFE involves 3 phases—exploration, design, evaluation—with exploration being critical often overlooked the literature. For medication-related CDSSs, understanding hospital pharmacists’ tasks challenges is vital creating user-centered solutions. Objective This study aimed explore actual practices identify needs of analyzing electronic prescriptions. focused on preliminary stage design pharmacist-centered CDSS. Methods involved observing 16 across 5 hospitals mainland France (a university hospital, 2 large general hospitals, smaller specialized clinic). Pharmacists were selected regardless expertise. observation method—systematic situ with shadowing posture—involved following as they analyzed Researchers recorded activities, tools used, verbalizations, behaviors, interruptions, an grid. Data analysis modeling cognitive work, categorizing activities by action type, specificity, information source. Sequential time data distance matrices used generate hierarchical clustering similarity groups among analyses. Each group was described its typical sequences covariates. Results In total, validated prescriptions 140 patients, averaging 5.48 minutes per patient. They spend 91% their searching rather than transmitting it. Most comes from list prescriptions, but it spent medical records (EMRs) that dominates at heart analysis. Pharmaceutical interventions most frequently transmitted last third sequence. pharmaceutical analyses grouped into 4 clusters: (cluster A, 22%) interventionist extensive crossing various sources almost systematic interventions; B, 52%) common focusing EMRs biology results; C, 13%) logistical analysis, pharmacy workflow medication circuit; D, quick, trivial based exclusively Conclusions process complex multifaceted. detectives, accessing wealth discriminate problems respond accordingly. also carry out different types which lead require solutions exploratory prerequisite meeting challenge pharmacists.

Язык: Английский

Процитировано

0