Rapid Adoption of a Serious Illness Conversation Electronic Medical Record Template: Lessons Learned and Future Directions

2020 ◽  
Vol 23 (2) ◽  
pp. 159-161 ◽  
Author(s):  
Erica Wilson ◽  
Rachelle Bernacki ◽  
Joshua R. Lakin ◽  
Corinne Alexander ◽  
Vicki Jackson ◽  
...  
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Lessons Learned ◽  
Future Directions ◽  
Serious Illness

scholarly journals Delivering a Pilot Smoking Cessation Program through the Patient Portal of an Electronic Medical Record (EMR) at a Patient-Centered Medical Home (PCMH)

2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Amanda M Singrey ◽  
Kristin A Casper ◽  
Nicole V Brown ◽  
Bella H Mehta
Keyword(s):  
Smoking Cessation ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Medical Home ◽  
Lessons Learned ◽  
Smoking Cessation Program ◽  
Original Research ◽  
Patient Centered Medical Home ◽  
Patient Portal ◽  
Patient Centered

Pharmacists are providing clinical services in nontraditional practice settings including the patient-centered medical home (PCMH). PCMHs strive to improve patient outcomes in a number of ways, including through innovative use of health information technology (HIT) and by encouraging patients to take an active role in their health care. This paper describes a pharmacist-directed smoking cessation program at a PCMH that utilizes HIT to engage patients in the smoking cessation process and lessons learned from implementation of the program to guide other pharmacists considering implementing a similar program. Secure messaging through the patient portal of the electronic medical record (EMR) can be an effective way to deliver a smoking cessation program for appropriately selected patients and aligns with PCMH standards as the program uses HIT to engage patients in self-management.   Type: Original Research

scholarly journals PATHWEIGH Tool for Chronic Weight Management Built into EPIC Electronic Medical Record: Methods, Pilot Results and Future Directions

2020 ◽  
Vol 4 (1) ◽  
pp. 42-48
Author(s):  
Leigh Perreault ◽  
Christine W. Hockett ◽  
Heather Holmstrom ◽  
Lauren Tolle ◽  
E. Seth Kramer ◽  
...  
Keyword(s):  
Weight Management ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Future Directions

scholarly journals Electronic medical record–based cohort selection and direct-to-patient, targeted recruitment: early efficacy and lessons learned

2019 ◽  
Vol 26 (11) ◽  
pp. 1209-1217 ◽  
Author(s):  
Hailey N Miller ◽  
Kelly T Gleason ◽  
Stephen P Juraschek ◽  
Timothy B Plante ◽  
Cassie Lewis-Land ◽  
...  
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Response Rate ◽  
Target Population ◽  
Lessons Learned ◽  
Recruitment Strategy ◽  
Eligibility Criteria ◽  
Health Network ◽  
Recruitment Methods ◽  
Cohort Selection

Abstract Objective The study sought to characterize institution-wide participation in secure messaging (SM) at a large academic health network, describe our experience with electronic medical record (EMR)–based cohort selection, and discuss the potential roles of SM for research recruitment. Materials and Methods Study teams defined eligibility criteria to create a computable phenotype, structured EMR data, to identify and recruit participants. Patients with SM accounts matching this phenotype received recruitment messages. We compared demographic characteristics across SM users and the overall health system. We also tabulated SM activation and use, characteristics of individual studies, and efficacy of the recruitment methods. Results Of the 1 308 820 patients in the health network, 40% had active SM accounts. SM users had a greater proportion of white and non-Hispanic patients than nonactive SM users id. Among the studies included (n = 13), 77% recruited participants with a specific disease or condition. All studies used demographic criteria for their phenotype, while 46% (n = 6) used demographic, disease, and healthcare utilization criteria. The average SM response rate was 2.9%, with higher rates among condition-specific (3.4%) vs general health (1.4%) studies. Those studies with a more inclusive comprehensive phenotype had a higher response rate. Discussion Target population and EMR queries (computable phenotypes) affect recruitment efficacy and should be considered when designing an EMR-based recruitment strategy. Conclusions SM guided by EMR-based cohort selection is a promising approach to identify and enroll research participants. Efforts to increase the number of active SM users and response rate should be implemented to enhance the effectiveness of this recruitment strategy.

scholarly journals Use of an electronic medical record to monitor efficacy of diabetes care in out-patients in a central hospital in Malawi: Patterns of glycaemic control and lessons learned

2018 ◽  
Vol 29 (4) ◽  
pp. 322
Author(s):  
Theresa J. Allain ◽  
Grieves Mang’anda ◽  
Marrianne Kasiya ◽  
Patricia Khomani ◽  
Ndaziona P. Banda ◽  
...  
Keyword(s):  
Glycaemic Control ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Diabetes Care ◽  
Lessons Learned ◽  
Central Hospital

scholarly journals Success criteria for electronic medical record implementations in low-resource settings: a systematic review

2015 ◽  
Vol 22 (2) ◽  
pp. 479-488 ◽  
Author(s):  
Fleur Fritz ◽  
Binyam Tilahun ◽  
Martin Dugas
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Reliable Data ◽  
Lessons Learned ◽  
African Countries ◽  
Low Resource Settings ◽  
Low Resource ◽  
Use Of Resources ◽  
Success Criteria ◽  
The Right

Abstract Objective Electronic medical record (EMR) systems have the potential of supporting clinical work by providing the right information at the right time to the right people and thus make efficient use of resources. This is especially important in low-resource settings where reliable data are also needed to support public health and local supporting organizations. In this systematic literature review, our objectives are to identify and collect literature about success criteria of EMR implementations in low-resource settings and to summarize them into recommendations. Materials and Methods Our search strategy relied on PubMed queries and manual bibliography reviews. Studies were included if EMR implementations in low-resource settings were described. The extracted success criteria and measurements were summarized into 7 categories: ethical, financial, functionality, organizational, political, technical, and training. Results We collected 381 success criteria with 229 measurements from 47 articles out of 223 articles. Most papers were evaluations or lessons learned from African countries, published from 1999 to 2013. Almost half of the EMR systems served a specific disease area like human immunodeficiency virus (HIV). The majority of criteria that were reported dealt with the functionality, followed by organizational issues, and technical infrastructures. Sufficient training and skilled personnel were mentioned in roughly 10%. Political, ethical, and financial considerations did not play a predominant role. More evaluations based on reliable frameworks are needed. Conclusions Highly reliable data handling methods, human resources and effective project management, as well as technical architecture and infrastructure are all key factors for successful EMR implementation.

Implementation of survivorship care plans: Lessons learned at the Kaiser Permanente Oakland Medical Center.

2016 ◽  
Vol 34 (3_suppl) ◽  
pp. 75-75
Author(s):  
Pamela Kim Washington ◽  
Yan Li ◽  
Dennis S Durzinsky ◽  
James Duffy ◽  
Veronica Shim ◽  
...  
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Medical Center ◽  
Electronic Medical Record System ◽  
Lessons Learned ◽  
Survivorship Care Plan ◽  
Survivorship Care ◽  
Kaiser Permanente ◽  
Record System ◽  
Medical Record System

75 Background: Beginning in 2015, the Commission on Cancer (CoC) requires accredited facilities to provide eligible patients with a Survivorship Care Plan (SCP). While the benefits of SCPs in the quality and continuity of care are well documented in the literature, there is a dearth of information regarding best practices for implementation. Here we describe lessons learned in the development of a SCP at the Kaiser Permanente Oakland Medical Center (OMC). Methods: Adult patients with a diagnosis of stage 1-3 cancer who received curative treatment were identified by the Northern California Kaiser Permanente Cancer Registrar. Consistent with CoC guidelines for 2015, 10% of all eligible patients (n = 1160) are required to receive a SCP 3-6 months following active treatment. Thus, a total of 116 patients with a diagnosis of breast, colon, lung/bronchus, prostate, or melanoma of the skin at OMC were given a SCP. The implementation timeframe was July to December 2015. Use of a modified ASCO template was recommended for its rigor across the required domains. Following template approval by the Comprehensive Cancer Committee (CCC), a workflow consisting of identifying patients’ last treatment and manual data entry by a Physician Assistant (PA) as well as automated data population in the Kaiser Permanente electronic medical record system was developed. Completed SCPs were then provided to patients during a clinic visit. The workflow process was refined as appropriate based on feedback from staff & physicians. Results: Depending on the scope of treatment, mean preparation time is 10 minutes per plan using specific diagnosis codes via an electronic medical record system. Further, it takes 30 minutes for a PA or other Ancillary personnel to discuss the plan with a patient. Patient response was generally positive upon receipt of the plan. Conclusions: Successful SCP implementation is contingent upon engagement from multiple stakeholders. Per standard CoC 3.3, the implementation rate will increase annually from 10% in 2015 to 100% by 2019. Careful consideration to workflow processes and resources planning be must factored into achieving 100% compliance across all disease sites by 2019.

scholarly journals Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network

2013 ◽  
Vol 20 (e1) ◽  
pp. e147-e154 ◽  
Author(s):  
K. M. Newton ◽  
P. L. Peissig ◽  
A. N. Kho ◽  
S. J. Bielinski ◽  
R. L. Berg ◽  
...  
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Lessons Learned ◽  
Emerge Network
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