Angela Schmidt is seeking a leadership role in pathology after over 35 years of experience in histology, histotechnology, and medical laboratory technology. She has extensive experience supervising histology departments and implementing new technologies and procedures. Her resume details her career history and accomplishments in histology lab management, technical skills, training and education.
The shared radiology workflow consists of physician’s referral, study approval, scheduling, patient arrival, imaging, reporting, validating, and results distribution. The performance of this process can be measured on different levels: resources utilization, current operations, and outcomes.
The end-result of the process is defined by the goal, which can also vary. The major goals are effectiveness (e.g. high-quality, high-safety, high-volume, high-accessibility services, patients’ and physicians’ satisfaction), efficiency (cost-effectiveness, cost-control, revenue generation), and health improvement (better treatment because of accurate diagnostics, less morbidity and mortality because of early diagnostics).
The problem with the radiology services is that we often incorrectly measure incorrect metrics. Wherever we see systematic measurement of results in health care—no matter what the country—we see those results improve (R.S. Kaplan, M.E. Porter).
Hence, we should move from current radiology operational metrics (report turn-around-time, back-log time, discrepancies, equipment utilization rate, revenue) to clinical operational metrics (diagnosis-related delays of treatment, time to begin treatment) and outcome measurements (patients’ and clinicians’ satisfaction, gross margin of services, involvement in disease-specific clinical teams, better treatment because of accurate diagnostics).
The best method for tackling ‘bottlenecks’ is time-driven activity-based costing (TDABC) through better resource utilization, standardized processes, proper staffing, and logistics optimization.
Building an enabling IT platform is the key for embedding the changes in the system.
Ideal physician measurements are aligned to electronic data collection, attributable to individuals, cascade from organizational goals, supported by evidence and physicians, comparative, and transparent.
The shared radiology workflow consists of physician’s referral, study approval, scheduling, patient arrival, imaging, reporting, validating, and results distribution. The performance of this process can be measured on different levels: resources utilization, current operations, and outcomes.
The end-result of the process is defined by the goal, which can also vary. The major goals are effectiveness (e.g. high-quality, high-safety, high-volume, high-accessibility services, patients’ and physicians’ satisfaction), efficiency (cost-effectiveness, cost-control, revenue generation), and health improvement (better treatment because of accurate diagnostics, less morbidity and mortality because of early diagnostics).
The problem with the radiology services is that we often incorrectly measure incorrect metrics. Wherever we see systematic measurement of results in health care—no matter what the country—we see those results improve (R.S. Kaplan, M.E. Porter).
Hence, we should move from current radiology operational metrics (report turn-around-time, back-log time, discrepancies, equipment utilization rate, revenue) to clinical operational metrics (diagnosis-related delays of treatment, time to begin treatment) and outcome measurements (patients’ and clinicians’ satisfaction, gross margin of services, involvement in disease-specific clinical teams, better treatment because of accurate diagnostics).
The best method for tackling ‘bottlenecks’ is time-driven activity-based costing (TDABC) through better resource utilization, standardized processes, proper staffing, and logistics optimization.
Building an enabling IT platform is the key for embedding the changes in the system.
Ideal physician measurements are aligned to electronic data collection, attributable to individuals, cascade from organizational goals, supported by evidence and physicians, comparative, and transparent.
Presentation carried out in Rome the 26th January, 2011 during HEALTHINF-BIOSTEC 2011 about CONTINUOUS CLINICAL PATHWAYS EVALUATION BY USING AUTOMATIC LEARNING ALGORITHMS
Authors: Carlos Fernández-Llatas, Teresa Meneu, Jose Miguel Benedí and Vicente Traver
The final protocol (v5.3). Notable changes include:
1) Confirmation of audit standard (Page 6).
2) Refinement of inclusion and exclusion criteria (Page 7)
3) Confirmation of audit status (Appendix C)
4) Refinement of required data fields (Page 19) including definitions (Pages 20-25)
In the continuous quality journey, Controlling laboratory Errors is an integral part & focusing on analytical, post-analytical process is the first step. Developing a reporting culture followed by thorough analysis and implementation of appropriate corrective, preventive actions is required.
The Use Of Error and Uncertainty Methods in the Medical LaboratoryShrineCaete
Error and uncertainty methods are complementary when evaluating measurement data. Error methods compared with uncertainty methods offer simpler, more intuitive and practical procedures for calculating measurement uncertainty and conducting quality assurance in laboratory medicine.
The pharmaceutical industry has taken another leap forward; it plays a bigger role than ever. In the increasing landscape of modern medicine and digital health, Clinical trial management showcasing consistent advancements due to its endless needs. This industry is constantly evolving towards a growing pace.
Clinical trials are conducted to assess the safety and efficacy of treatments, medical approaches, and devices. Clinical trial management is crucial to keep the trials on track within budget limits. We assume management is a simple task but it requires strict discipline to achieve success in Clinical trial management.
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Presentation carried out in Rome the 26th January, 2011 during HEALTHINF-BIOSTEC 2011 about CONTINUOUS CLINICAL PATHWAYS EVALUATION BY USING AUTOMATIC LEARNING ALGORITHMS
Authors: Carlos Fernández-Llatas, Teresa Meneu, Jose Miguel Benedí and Vicente Traver
The final protocol (v5.3). Notable changes include:
1) Confirmation of audit standard (Page 6).
2) Refinement of inclusion and exclusion criteria (Page 7)
3) Confirmation of audit status (Appendix C)
4) Refinement of required data fields (Page 19) including definitions (Pages 20-25)
In the continuous quality journey, Controlling laboratory Errors is an integral part & focusing on analytical, post-analytical process is the first step. Developing a reporting culture followed by thorough analysis and implementation of appropriate corrective, preventive actions is required.
The Use Of Error and Uncertainty Methods in the Medical LaboratoryShrineCaete
Error and uncertainty methods are complementary when evaluating measurement data. Error methods compared with uncertainty methods offer simpler, more intuitive and practical procedures for calculating measurement uncertainty and conducting quality assurance in laboratory medicine.
The pharmaceutical industry has taken another leap forward; it plays a bigger role than ever. In the increasing landscape of modern medicine and digital health, Clinical trial management showcasing consistent advancements due to its endless needs. This industry is constantly evolving towards a growing pace.
Clinical trials are conducted to assess the safety and efficacy of treatments, medical approaches, and devices. Clinical trial management is crucial to keep the trials on track within budget limits. We assume management is a simple task but it requires strict discipline to achieve success in Clinical trial management.
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Presentasi ini memberikan profil singkat gerakan Apps4God, serta contoh-contoh langkah pengembangannya sebagai sebuah komunitas yang dapat berbuah bagi sesama. Hal ini diwujudkan melalui penguraian aksi dan strategi.
Presentasi ini menjelaskan identitas gerakan Apps4God sebagai komunitas yang dibentuk untuk memuliakan Tuhan. Di dalamnya terdapat dasar Alkitab, motivasi, dan pengembangan Apps4God secara praktikal.
Presentasi ini berisi tentang apa itu Apps4God, mengapa perlu Apps4God, dan bagaimana melakukan Apps4God. Terdapat langkah-langkah praktis dalam memulai dan mengembangkan gerakan Apps4God.
Revolusi Internet: Tren Teknologi di Era MessengerApps4God
Tahun 2016 akan membawa banyak perubahan dalam perkembangan teknologi informasi, dimana itu akan menjadi semakin tak terlihat (invisible) dan menyatu dalam gaya hidup kita. Presentasi ini akan mengamati perkembangan Internet of Things (IoT) dan Messenger serta dampaknya dalam masyarakat.
1. 10233 Crestland Ct., Cincinnati, OH 45251513-509-4178schm650@gmail.com
Angela M. Schmidt, HT (ASCP)
Objective
Highly motivated histology professional seeking an opportunity to utilize my 35 years of pathology
experience and my education in leadership to contribute to the growth and quality enhancement of a
regional pathology laboratory service. Genuinely interested in uniting a team of trained professionals
into an accomplished and outstanding working unit that is professionally satisfying to staff and an
asset to the community it serves.
Professional Accomplishments
Histology Supervisor
20 years of managementexperience
Personally responsible for the day to day activities of 20 direct reports
Responsible for performance evaluations and disciplinary procedures
Timecard management—KRONOS system
Trained and utilized LAWSONordering system
Responsible for inventory controland remaining in budget guidelines
Responsible for scheduling and maintaining employee productivity above 85%
Schedule personnelfor histology department and lab assistantsfor Good Samaritan and Bethesda
North Hospitals
Responsible for hiring and providing orientation and education of new employees
Intercede in employee disputesusing CrucialConversation and Conflict resolution techniques
Directly responsible for the successfulCAP accreditations formultiple histology departments
VANTAGE bar-coding super user and partof the implementation team
CoPATH Pathology software user and member of the implementation team
IRIS safety event recording experience and EPIC user
Infor job requisition and recruiting experience
Responsible for developing histology laboratory procedures that are adherent to CAP and CLIA
guidelines and monitoring staff compliance with those procedures
Oversee the implementation of new equipment and subsequent validation
Certification on the Ventana Benchmark, Benchmark XT and Nexes Special Stainer
Experience with the Ventana Ultra IHC instrumentation
Certification training on the Leica Peloris and Sakura VIP tissue processor
Assess employee competency on histology technical skills
Implemented and oversee the operation and maintenance of the Sakura Rapid Tissue Processor
Responsible for evaluating and justifying the need for new lab equipment
Provided mentoring for histology students enrolled in Goodwin College, Harford, and IUPUI
Review pathology charges for accuracy and federal compliance
Experience with SunQuest IS and MEDITECH systemfor pathology charges and registration
Instrumental in LEAN design of histology department in order to improve efficiency
Troubleshoot technical and mechanical errors
Provide a liaison between the technical staff and the pathologists
Provide communication between the histology and gross staff and other
departments within the hospital
Perform routine histology work in order to assist teamwhen needed
Provide continuing education opportunities for department by presenting online webinars
which contain important pertinent pathology information.
Promoted departmental participation in HQIP program
Implemented immunohistochemistry testing for patient diagnosis
Evaluate workload metrics using the MEDITECH system
2. 10233 Crestland Ct., Cincinnati, OH 45251513-509-4178schm650@gmail.com
Angela M. Schmidt, HT (ASCP)
Histology Lead Tech
Consolidated two separate histology labs to one centrallocation
Expanded lab size from severalsmallrooms to encompass the majority of the F/Ghospitalunit
Oversee the technicalaspects of the histology department
Write and update allprocedure manuals according to CAP and CLIA guidelines
Train new personnelon allinstrumentation and computer software
Perform routine histology duties—processing,embedding, and sectioning
Perform Specialstains manually and on Ventana NexesSpecialStainer
Perform immunohistochemistry manually and on Ventana instrumentation
Troubleshoot instrumentation malfunctions and repair if possible
Attended NSHnationaland localworkshopsin order to learn newtechniques and current
applications
Chromavision ACIS training
Monitor chemicalinventory and organize MSDS forJACHOcompliance
Assisted in employee assessmentsfor performance appraisals
Responsible for assisting in the acquisition of renalbiopsy specimens in CT and subsequent
staining and sectioning of the renalspecimen—including 2 micron cryostat sectioning, 2 micron
paraffin sectioning and manualspecialstains
Histotechnician
Embedding using various equipment—Sakura Tissue Tek and TBS embedding centers
Tissue processing using the Autotechnicon,Shandon Hypercenter,Sakura VIPS and the Leica
Peloris
Proficient microtomy experience on AOmicrotome,Shandon,Microm and Leica microtomes and
recent experience on the Sakura automicrotome
Responsible for assisting with frozen sections using the following cryostats-Miles,Leica and
Microm
Routine H&E staining using a Linear stainer,Sakura stainer and the Leica XL Stainer and
automatic coverslipper. (Sakura glass,Sakura tape and Leica glasscoverslipper)
Performance of SpecialStains both manually and using the Ventana SpecialStainer
Immunohistochemistry experience and training on the Ventana IHC instrumentation and manual
applications using DAKO reagents
Assist in the performance of autopsies
Grossing smallbiopsies including cervicaland endometrialbiopsies,endoscopy and colonoscopy
specimens,skins,etc.
Accessioning surgicalspecimens
Responsible for cytoprep preparations utilizing the Shandon cytospin,manualstaining of pap
smears and assisting with fine needle aspirations in CT
Medical Laboratory Technician
Blood bank—manualcrossmatching and antibody detection
Chemistry and Urinalysis–Rotochem and LCAblood analyzers,manualurine evaluations
Hematology and Coagulation—Coultercounter,and various blood coagulation instruments
Phlebotomy—assisted with blood draws on pre-op patients,nursing home patients,and hospital
inpatient
3. 10233 Crestland Ct., Cincinnati, OH 45251513-509-4178schm650@gmail.com
Angela M. Schmidt, HT (ASCP)
Employment History
June 1988 to present
May 2010 to present
July 2001—2010
November 1998--2001
June 1988—1998
April 2008-October 2010
November 1992—1998
June 1980-February 1987
August 1977—June 1980
Histology Supervisor
Histology Lead Technician
Histotechnician
PRN/Part-time Histotech
PRN Histotechnician
Histology Supervisor
Histotechnician
Medical Lab Technician
TriHealth, Cincinnati, OH
Good Samaritan Hospital
Bethesda North Hospital
Mercy Hospital,
Cincinnati, OH
DeaconessHospital,
Cincinnati, OH
DeaconessHospital
Deaconess Hospital
Education
Currently attending –
Graduation date 12/16
June 2011
May 1977
Masters in Organizational
Leadership
BS in Health Science
AA in Medical Laboratory
Science
Mt. St. University Cincinnati,OH
Northern Kentucky University,
Highland Heights, KY
College of Mt St. Joseph,
Cincinnati, OH
Certifications and Honors
1977 MLT(ASCP) #011573 1979 CLT(HEW) 1982 HT(ASCP)#011573
Graduated Summa Cum Laude Northern Kentucky University –2011
Employee of the Month Good Samaritan April 2005
References
References will be furnished upon request