The Financial And Nonfinancial Costs Of Implementing Electronic Health Records In Primary Care Practices

2011 ◽  
Vol 30 (3) ◽  
pp. 481-489 ◽  
Author(s):  
Neil S. Fleming ◽  
Steven D. Culler ◽  
Russell McCorkle ◽  
Edmund R. Becker ◽  
David J. Ballard
Keyword(s):  
Primary Care ◽  
Electronic Health Records ◽  
Health Records ◽  
Care Practices ◽  
Electronic Health ◽  
Primary Care Practices

scholarly journals Electronic Health Records and Patient Safety

2015 ◽  
Vol 06 (01) ◽  
pp. 136-147 ◽  
Author(s):  
D. Gans ◽  
J. White ◽  
R. Nath ◽  
J. Pohl ◽  
C. Tanner
Keyword(s):  
Primary Care ◽  
Patient Safety ◽  
Electronic Health Records ◽  
Medication Management ◽  
Health Records ◽  
Safety Practices ◽  
Care Practices ◽  
Electronic Health ◽  
Primary Care Practices ◽  
Promote Patient Safety

Summary Background: The role of electronic health records (EHR) in enhancing patient safety, while substantiated in many studies, is still debated. Objective: This paper examines early EHR adopters in primary care to understand the extent to which EHR implementation is associated with the workflows, policies and practices that promote patient safety, as compared to practices with paper records. Early adoption is defined as those who were using EHR prior to implementation of the Meaningful Use program. Methods: We utilized the Physician Practice Patient Safety Assessment (PPPSA) to compare primary care practices with fully implemented EHR to those utilizing paper records. The PPPSA measures the extent of adoption of patient safety practices in the domains: medication management, handoffs and transition, personnel qualifications and competencies, practice management and culture, and patient communication. Results: Data from 209 primary care practices responding between 2006–2010 were included in the analysis: 117 practices used paper medical records and 92 used an EHR. Results showed that, within all domains, EHR settings showed significantly higher rates of having workflows, policies and practices that promote patient safety than paper record settings. While these results were expected in the area of medication management, EHR use was also associated with adoption of patient safety practices in areas in which the researchers had no a priori expectations of association. Conclusions: Sociotechnical models of EHR use point to complex interactions between technology and other aspects of the environment related to human resources, workflow, policy, culture, among others. This study identifies that among primary care practices in the national PPPSA database, having an EHR was strongly empirically associated with the workflow, policy, communication and cultural practices recommended for safe patient care in ambulatory settings. Citation: Tanner C, Gans D, White J, Nath R, Pohl J. Electronic health records and patient safety – co-occurrence of early EHR implementation with patient safety practices in primary care settings. Appl Clin Inf 2015; 6: 136–147http://dx.doi.org/10.4338/ACI-2014-11-RA-0099

scholarly journals Scaling-up social needs screening in practice: a retrospective, cross-sectional analysis of data from electronic health records from Bronx county, New York, USA

BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e053633
Author(s):  
Kevin P Fiori ◽  
Caroline G Heller ◽  
Anna Flattau ◽  
Nicole R Harris-Hollingsworth ◽  
Amanda Parsons ◽  
...  
Keyword(s):  
Primary Care ◽  
New York ◽  
Electronic Health Records ◽  
Social Care ◽  
Social Needs ◽  
Cross Sectional ◽  
Health Records ◽  
Care Practices ◽  
Electronic Health ◽  
Primary Care Practices

ObjectivesThere has been renewed focus on health systems integrating social care to improve health outcomes with relatively less related research focusing on ‘real-world’ practice. This study describes a health system’s experience from 2018 to 2020, following the successful pilot in 2017, to scale social needs screening of patients within a large urban primary care ambulatory network.SettingAcademic medical centre with an ambulatory network of 18 primary care practices located in an urban county in New York City (USA).ParticipantsThis retrospective, cross-sectional study used electronic health records of 244 764 patients who had a clinical visit between 10 April 2018 and 8 December 2019 across any one of 18 primary care practices.MethodsWe organised measures using the RE-AIM framework domains of reach and adoption to ascertain the number of patients who were screened and the number of providers who adopted screening and associated documentation, respectively. We used descriptive statistics to summarise factors comparing patients screened versus those not screened, the prevalence of social needs screening and adoption across 18 practices.ResultsBetween April 2018 and December 2019, 53 093 patients were screened for social needs, representing approximately 21.7% of the patients seen. Almost one-fifth (19.6%) of patients reported at least one unmet social need. The percentage of screened patients varied by both practice location (range 1.6%–81.6%) and specialty within practices. 51.8% of providers (n=1316) screened at least one patient.ConclusionsThese findings demonstrate both the potential and challenges of integrating social care in practice. We observed significant variability in uptake across the health system. More research is needed to better understand factors driving adoption and may include harmonising workflows, establishing unified targets and using data to drive improvement.

Electronic Health Records are Associated with Higher Quality in Primary Care Practices

2009 ◽  
Author(s):  
Mark Friedberg ◽  
Kathryn Coltin ◽  
Dana Safran ◽  
Marguerite Dresser ◽  
Alan Zaslavsky ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Records ◽  
Health Records ◽  
Care Practices ◽  
Electronic Health ◽  
Primary Care Practices

scholarly journals The Impact of Electronic Health Records on Workflow and Financial Measures in Primary Care Practices

2013 ◽  
Vol 49 (1pt2) ◽  
pp. 405-420 ◽  
Author(s):  
Neil S. Fleming ◽  
Edmund R. Becker ◽  
Steven D. Culler ◽  
Dunlei Cheng ◽  
Russell McCorkle ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Records ◽  
Health Records ◽  
Financial Measures ◽  
Care Practices ◽  
Electronic Health ◽  
Primary Care Practices ◽  
The Impact

Preliminary results from the COPE study using primary-care electronic health records and environmental modelling to examine COPD exacerbations

2018 ◽  
Vol 68 (suppl 1) ◽  
pp. bjgp18X696749 ◽  
Author(s):  
Maimoona Hashmi ◽  
Mark Wright ◽  
Kirin Sultana ◽  
Benjamin Barratt ◽  
Lia Chatzidiakou ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Records ◽  
Health Management ◽  
Practice Research ◽  
Chronic Obstructive ◽  
Clinical Practice Research Datalink ◽  
Health Records ◽  
Preliminary Results ◽  
Copd Exacerbations ◽  
Electronic Health

BackgroundChronic Obstructive Airway Disease (COPD) is marked by often severely debilitating exacerbations. Efficient patient-centric research approaches are needed to better inform health management primary-care.AimThe ‘COPE study’ aims to develop a method of predicting COPD exacerbations utilising personal air quality sensors, environmental exposure modelling and electronic health records through the recruitment of patients from consenting GPs contributing to the Clinical Practice Research Datalink (CPRD).MethodThe study made use of Electronic Healthcare Records (EHR) from CPRD, an anonymised GP records database to screen and locate patients within GP practices in Central London. Personal air monitors were used to capture data on individual activities and environmental exposures. Output from the monitors were then linked with the EHR data to obtain information on COPD management, severity, comorbidities and exacerbations. Symptom changes not equating to full exacerbations were captured on diary cards. Linear regression was used to investigate the relationship between subject peak flow, symptoms, exacerbation events and exposure data.ResultsPreliminary results on the first 80 patients who have completed the study indicate variable susceptibility to environmental stressors in COPD patients. Some individuals appear highly susceptible to environmental stress and others appear to have unrelated triggers.ConclusionRecruiting patients through EHR for a study is feasible and allows easy collection of data for long term follow up. Portable environmental sensors could now be used to develop personalised models to predict risk of COPD exacerbations in susceptible individuals. Identification of direct links between participant health and activities would allow improved health management thus cost savings.

scholarly journals Estimating the population health burden of musculoskeletal conditions using primary care electronic health records

Rheumatology ◽  
2021 ◽  
Author(s):  
Dahai Yu ◽  
George Peat ◽  
Kelvin P Jordan ◽  
James Bailey ◽  
Daniel Prieto-Alhambra ◽  
...  
Keyword(s):  
Primary Care ◽  
Chronic Pain ◽  
Low Back Pain ◽  
Back Pain ◽  
Electronic Health Records ◽  
High Impact ◽  
Low Back ◽  
Musculoskeletal Health ◽  
Health Records ◽  
Electronic Health

Abstract Objectives Better indicators from affordable, sustainable data sources are needed to monitor population burden of musculoskeletal conditions. We propose five indicators of musculoskeletal health and assessed if routinely available primary care electronic health records (EHR) can estimate population levels in musculoskeletal consulters. Methods We collected validated patient-reported measures of pain experience, function and health status through a local survey of adults (≥35 years) presenting to English general practices over 12 months for low back pain, shoulder pain, osteoarthritis and other regional musculoskeletal disorders. Using EHR data we derived and validated models for estimating population levels of five self-reported indicators: prevalence of high impact chronic pain, overall musculoskeletal health (based on Musculoskeletal Health Questionnaire), quality of life (based on EuroQoL health utility measure), and prevalence of moderate-to-severe low back pain and moderate-to-severe shoulder pain. We applied models to a national EHR database (Clinical Practice Research Datalink) to obtain national estimates of each indicator for three successive years. Results The optimal models included recorded demographics, deprivation, consultation frequency, analgesic and antidepressant prescriptions, and multimorbidity. Applying models to national EHR, we estimated that 31.9% of adults (≥35 years) presenting with non-inflammatory musculoskeletal disorders in England in 2016/17 experienced high impact chronic pain. Estimated population health levels were worse in women, older aged and those in the most deprived neighbourhoods, and changed little over 3 years. Conclusion National and subnational estimates for a range of subjective indicators of non-inflammatory musculoskeletal health conditions can be obtained using information from routine electronic health records.

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