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1.
J Patient Saf ; 18(5): 377-381, 2022 08 01.
Article in English | MEDLINE | ID: mdl-35948287

ABSTRACT

OBJECTIVES: Wrong-patient errors are common and have the potential to cause serious harm. The Office of the National Coordinator for Health Information Technology Patient Identification SAFER Guide recommends displaying patient photographs in electronic health record (EHR) systems to facilitate patient identification and reduce wrong-patient errors. A potential barrier to implementation is patient refusal; however, patients' perceptions about having their photograph captured during registration and integrated into the EHR are unknown. METHODS: The study was conducted in an emergency department (ED) and primary care outpatient clinic within a large integrated health system in New York City. The study consisted of 2 components: (1) direct observation of the registration process to quantify the frequency of patient refusals and (2) semistructured interviews to elicit patients' feedback on perceived benefits and barriers to integrating their photograph into the EHR. RESULTS: Of 172 registrations where patients were asked to take a photograph for patient identification, 0 refusals were observed (ED, 0 of 87; primary care outpatient clinic, 0 of 85). A convenience sample of 30 patients were interviewed (female, 70%; age ≥55 years, 43%; Hispanic/Latino, 67%; Black, 23%). Perceived benefits of integrating patient photographs into the EHR included improved security (40%), improved patient identification (23%), and ease of registration (17%). A small proportion of patients raised privacy concerns. CONCLUSIONS: Patient refusal was not found to be a barrier to implementation of patient photographs in the EHR. Efforts to identify and address other potential barriers would help ensure that the highest proportion of patients has photographs in their medical record.


Subject(s)
Electronic Health Records , Medical Informatics , Emergency Service, Hospital , Female , Humans , Middle Aged , New York City , Outpatients
2.
Obstet Gynecol ; 138(2): 229-235, 2021 08 01.
Article in English | MEDLINE | ID: mdl-34237762

ABSTRACT

OBJECTIVE: To compare rates of wrong-patient orders among patients on obstetric units compared with reproductive-aged women admitted to medical-surgical units. METHODS: This was an observational study conducted in a large health system in New York between January 1, 2016, and December 31, 2018. The primary outcome was near-miss wrong-patient orders identified using the National Quality Forum-endorsed Wrong-Patient Retract-and-Reorder measure. All electronic orders placed for eligible patients during the study period were extracted retrospectively from the health system data warehouse, and the unit of analysis was the order session (consecutive orders placed by a single clinician for a patient within 60 minutes). Multilevel logistic regression models were used to estimate odds ratios (ORs) and 95% CIs comparing the probability of retract-and-reorder events in obstetric and medical-surgical units, overall, and in subgroups defined by clinician type and order timing. RESULTS: Overall, 1,329,463 order sessions were placed during the study period, including 676,643 obstetric order sessions (from 45,436 patients) and 652,820 medical-surgical order sessions (from 12,915 patients). The rate of 79.5 retract-and-reorder events per 100,000 order sessions in obstetric units was significantly higher than the rate in the general medical-surgical population of 42.3 per 100,000 order sessions (OR 1.98, 95% CI 1.64-2.39). The obstetric retract-and-reorder event rate was significantly higher for attending physicians and house staff compared with advanced practice clinicians. There were no significant differences in error rates between day and night shifts. CONCLUSION: Order errors occurred more frequently on obstetric units compared with medical-surgical units. Systems strategies shown to decrease these events in other high-risk specialties should be explored in obstetrics to render safer maternity care.


Subject(s)
Hospital Units/statistics & numerical data , Maternal Health Services/statistics & numerical data , Medical Errors/statistics & numerical data , Obstetrics/statistics & numerical data , Adult , Female , Humans , Medication Errors/statistics & numerical data , Odds Ratio , Pregnancy , Retrospective Studies , Risk Factors , Specialization/statistics & numerical data , Surgical Procedures, Operative
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