Technology Assisting Cancer Outcomes: Automated Biomarker Abstraction Overcoming Textual Data-Silos
|
|
- Loraine Russell
- 8 years ago
- Views:
Transcription
1 Technology Assisting Cancer Outcomes: Automated Biomarker Abstraction Overcoming Textual Data-Silos Patrick Mergler, MBA PMP CPHIMS DISCLAIMER: The views and opinions expressed in this presentation are those of the author and do not necessarily represent official policy or position of HIMSS.
2 Conflict of Interest Disclosure Patrick Mergler, MBA PMP CPHIMS Member of GE Healthcare s Cancer Advisory Board 2013 HIMSS
3 Learning Objectives Demonstrate an industry-first, innovative technical solution for converting textual clinical data sources into discrete data Describe an innovative technology implementation for automating manual processes across various IT systems Explain a method for a successful implementation of an innovative technical solution with engaged senior clinical leadership 3
4 University Hospitals (of Cleveland) - History Lakeside Hospital est (later renamed) Lakeside surgery unit (Base Hospital No. 4) was first American military unit in Europe in WWI 7 hospital integrated health system in Ohio Large Academic Center (Case Medical Center) Primary affiliate of Case Western Reserve University School of Medicine 4
5 Original Lakeside Circa 1890 s New Lakeside Hospital Circa 1930 s (in use today) 5
6 UH Seidman Cancer Center - History Cancer program since 1981 National Cancer Institute (NCI) designated CCC (Comprehensive Cancer Center) since 1998 June 2011, opened 1 of 12 NCI-designated CCC, freestanding hospitals US News and World Reports = 18th ranked Cancer Center Nationally (rank increase) 6
7 7
8 UH Seidman Cancer Center - Program Multi-Discipline disease team structure Formal Tumor Board weekly conference Treatment planning recommendations Coordinated care model = higher disease management quality standards Market differentiator + 2nd opinions Continued disease team program expansion 8
9 Tumor Board Key Success Factors Data: Discrete diagnostic data - pathology, radiology and surgery Disease specific biomarkers + genetic data Process: Cycle time - diagnosis to Tumor Board presentation 9
10 MD Requests Patient Tumor Board Review Coord. Loads Patient on Agenda in App. Coord. Loads Data in App. Avg. 42 min per patient Coord. Searches for MRN in Multiple Clinical Systems Search MRN Read Notes Abstract Data Coord. Records Tumor Board Staging & Recommendation Clinical Data Environment Demographics, Pathology, Radiology, Op & Progress Notes 10
11 Tumor Board Informatics Assessment Performed current state process and requirement assessment Bi-weekly project steering meetings with physician and clinical leadership Alignment with Executive Leadership on chosen approach 11
12 Tumor Board Informatics Support Decision = Caisis NCI funded, open source (but project cost not $0).NET + MS SQL, web-based Cancer Data Management application Support for all disease teams + flexibility Data model proven by clinical usage at 70+ Cancer Centers globally over 8 yrs Expandable to meet all requirements via custom code or 3 rd party tools integration 12
13 In-Patient Environment Data Challenges: Allscripts (Eclipsys) Sunrise EMR Cerner CoPath (Pathology Report) No clinical data warehouse IDX Rad (Radiology Report) egate HL7 Interface Engine Hybrid EMR environment (AMB Read EMR Only In Pilot) Web Portal Oncology data >85% textual; not discrete Out-Patient SoftLabs (Lab Results) M-Modal Dictation (Progress Notes, Procedure Notes) 13
14 Automated Data Loading Goals Discrete data loading Disease specific logic + tumor markers Patients presented with existing staff Reduce patient load time Coordinators perform value-added services Data accuracy + completeness Current process = ~10% data loading error 14
15 Integration Solution Challenges Load cohort (cancer) patients only Data = make textual discrete No consistent data dictionary/ ontology Traditional interface approach challenges: HL7 version incompatibilities Demand for interface resources 15
16 Integration Solution Requirements HIPAA data compliant & maintain data provenance Ability to map textual data to discrete data Can extract from variety of clinical system architectures and databases without point-topoint custom code Provide pull data mechanism via scheduler, user initiated, or event trigger 16
17 Proof of Concept (30 days) Aim = Retrieval: - Controlled, prompted Input - Data pulled from 1 system Pilot Build (60 days) End-User Verification Build (120 days) - Map Caisis fields textual clinical source - Develop data collection & abstracting rules - Verify rules with physician leads - Internal + end-user data check Aim = Abstraction & Integration: - Request initiated in Caisis - Multiple source system fetch for 1 disease team - Data loaded in Caisis 17
18 Users 1 Request 2 Data Fetch Cerner CoPath CAISIS IIS 4 Data Loading W E B S E R V E R -IIS es ngines ClearView Software run time engines Data Abstraction Rules Clinical Portal Industry Data Sources NIH MeSH 3 Data Abstraction & Clinical Rules Future Clinical Systems 18
19 Source system Unstructured data Final system Must choose specific value 19
20 Solution Demos 1) End User Experience 2) Behind the Scenes 20
21 Automated Data Loading Results Data loading time = ~50% person effort Disease specific logic + tumor markers Data entry errors Data more complete More accurate discrete data input Disease contextual case abstraction Supports disease specific clinical rules 21
22 Solution Benefits vs. Traditional HL7 1. Data compliance and security Full auditing & HIPAA compliance Honor source system s data access model 2. Flexibility & Scalability Designed for change = new cancer biomarkers Expandability for adding additional sources 3. Automated process monitoring Automatic system administrator notifications 22
23 Maintenance & Monitoring: Monitoring solution metrics (sensitivity) Continuous improvement of disease specific logic Next Phase: Next Steps Automatically populate Tumor Registry data (survivability + treatment) Expand use of standard ontology: ICD, CPT, DRG, SNOMED, LOINC, RxNORM Beta partner for ClearView s next generation NLP 23
24 Next Generation NLP FINAL DIAGNOSIS A. RIGHT MENTAL NERVE, BIOPSY: -- NERVE, NEGATIVE FOR MALIGNANCY. B. RIGHT BUCCAL, GUM, AND MANDIBLE, COMPOSITE RESECTION: -- INVASIVE, MODERATELY TO POORLY DIFFERENTIATED SQUAMOUS CELL CARCINOMA. Site(s) of involvement: Right buccal Histologic grade: Moderately to poorly differentiated Pattern of invasion: Pushing and infiltrative Extent of invasion: Invading into underlying skeletal muscle for distance of 0.4 cm. Tumor does not invade into underlying bone. Margins: All mucosal margins and bone margins are negative for malignancy. Focal area of dysplasia is present. Angiolymphatic Three Yes invasion: Not identified Perineural invasion: Present C. RIGHT SELECTIVE NECK, LYMPH NODE DISSECTION: -- LEVEL 1A: METASTATIC CARCINOMA INVOLVING ONE OF EIGHT LYMPH NODES (1/8), -- LEVEL 2: SIXTEEN LYMPH NODES, NEGATIVE FOR MALIGNANCY (0/16). -- LEVEL 3: SIX LYMPH NODES, NEGATIVE FOR MALIGNANCY (0/6). -- LEVEL 4: SEVEN LYMPH NODES, NEGATIVE FOR MALIGNANCY (0/7). NOTE: The lymph node measures 2.5 cm. No extracapsular tumor extension is identified. Electronically Signed Out By A. L. M.D., PhD./ By the signature on this report, the individual or group listed as making the Final Interpretation/Diagnosis certifies that they have reviewed this case. Source system data Final system needs structured data to answer the below questions Pre-saved questions kept in a config. file How many specimens were taken? Was malignancy detected? If yes, what was the histology? Where were malignancies located? What were the sizes of malignancies any other questions 24
25 Thank You! Patrick Mergler, MBA PMP CPHIMS Manager Cancer Informatics, UH Seidman Cancer Center
IBM Watson and Medical Records Text Analytics HIMSS Presentation
IBM Watson and Medical Records Text Analytics HIMSS Presentation Thomas Giles, IBM Industry Solutions - Healthcare Randall Wilcox, IBM Industry Solutions - Emerging Technology jstart The Next Grand Challenge
More informationPromoting perinatal safety through discrete data interoperability across multiple EHRs Vish Anantraman, MD, MS Michael I.
Promoting perinatal safety through discrete data interoperability across multiple EHRs Vish Anantraman, MD, MS Michael I. Oppenheim, MD DISCLAIMER: The views and opinions expressed in this presentation
More informationDocumentation Proliferation Effect in Electronic Medical Records. Adele Towers, MD and Mark Morsch, MS
Documentation Proliferation Effect in Electronic Medical Records Adele Towers, MD and Mark Morsch, MS DISCLAIMER: The views and opinions expressed in this presentation are those of the author and do not
More informationFrom Fishing to Attracting Chicks
The Greater Plains Collaborative: a PCORNet Clinical Data Research Network s Strategies for Creating an Interoperable Architecture From Fishing to Attracting Chicks Russ Waitman, PhD Associate Professor,
More informationFind the signal in the noise
Find the signal in the noise Electronic Health Records: The challenge The adoption of Electronic Health Records (EHRs) in the USA is rapidly increasing, due to the Health Information Technology and Clinical
More informationThe Do s and Don ts of Medical Device integration
Advances in Wireless Technologies for Healthcare The Do s and Don ts of Medical Device integration Shahid N. Shah, CEO Visit Dräger and Shahid at HIMSS 2012 Dräger Booth on the main floor: Booth #5734
More informationChildren s Medical Center of Dallas
Dallas, TX Overview (Children s) is an academic medical center with 591 licensed beds. It has campuses in Dallas, Plano and Southlake, Texas, including an outpatient center in Southlake and 16 MyChildren
More informationAn Essential Ingredient for a Successful ACO: The Clinical Knowledge Exchange
An Essential Ingredient for a Successful ACO: The Clinical Knowledge Exchange Jonathan Everett Director, Health Information Technology Chinese Community Health Care Association Darren Schulte, MD, MPP
More informationOklahoma Facts CPT. Definitions. Mohs Micrographic Surgery. What Does That Mean? Billing and Coding for Mohs Surgery
Billing and Coding for Mohs Surgery Cindy L. Wilson Dermatology Associates of Tulsa Oklahoma Facts Per square mile, Oklahoma has more tornadoes than any other place in the world. The highest wind speed
More informationDigital Health: Catapulting Personalised Medicine Forward STRATIFIED MEDICINE
Digital Health: Catapulting Personalised Medicine Forward STRATIFIED MEDICINE CRUK Stratified Medicine Initiative Somatic mutation testing for prediction of treatment response in patients with solid tumours:
More informationHIM 111 Introduction to Health Information Management HIM 135 Medical Terminology
HIM 111 Introduction to Health Information Management 1. Demonstrate comprehension of the difference between data and information; data sources (primary and secondary), and the structure and use of health
More informationCarolyn P. Hartley, MLA President, CEO Physicians EHR, Inc
Carolyn P. Hartley, MLA President, CEO Physicians EHR, Inc Health Information Management Professional SME to Regional Extension Centers President, CEO: Physicians EHR, Inc 140+ complex to risky EHR installations
More informationHealth Information Exchange. Scalable and Affordable
Integration is Everything Health Information Exchange Scalable and Affordable Today s healthcare organizations are transforming the quality of patient care by electronically exchanging patient data at
More information3M Health Information Systems
3M Health Information Systems 1 Data Governance Disparate Systems Interoperability Information Exchange Reporting Public Health Quality Metrics Research Data Warehousing Data Standards What is the 3M Healthcare
More informationThe What, When, Where and How of Natural Language Processing
The What, When, Where and How of Natural Language Processing There s a mystique that surrounds natural language processing (NLP) technology, regarding how it works, and what it can and cannot do. Although
More informationBeyond the EMR: Disease Registries 3/5/2010
Beyond the EMR: Disease Registries Better Health Greater Cleveland Learning Collaborative March 5, 2010 Anil Jain, MD, FACP Senior IT Executive, Information Technology, Cleveland Clinic Managing Director,
More informationBriefing on ehr Content Hong Kong Clinical Terminology Table (HKCTT) By Maggie LAU Health Informatician, ehriso
Briefing on ehr Content Hong Kong Clinical Terminology Table (HKCTT) By Maggie LAU Health Informatician, ehriso Agenda Background Application Adoption Management RecognisedTerminologies in ehr Registered
More informationOpen Source Software Tools for Electronic Clinical Quality Measures
Open Source Software Tools for Electronic Clinical Quality Measures Beth Halley, MBA, RN, FHIMSS Renee Rookwood, MS, RN Sharon Sebastian, MS, RN-BC, PMP, CPHIMS Objectives Define electronic clinical quality
More informationCentricity Physician Office
Centricity Physician Office 2005 User Summit EMR Orders Implementation in an Enterprise Don Sepulveda, Clinical Consultant GE Healthcare Clay Williams, Clinical Consultant GE Healthcare Peggy Romfh, Project
More informationBuilding a Sound Integration Architecture a Challenging Journey at KFSH&RC
Building a Sound Integration Architecture a Challenging Journey at KFSH&RC Hamad Al-Daig, BS, MBA and Enam UL Hoque, BS, MBA, PMP, CPHIMS King Faisal Specialist Hospital & Research Centre (KFSH&RC) is
More informationTHE HEALTH INFORMATION TECHNOLOGY SUMMIT
THE HEALTH INFORMATION TECHNOLOGY SUMMIT 1.05 Community-Based Collaborations: HIT Community-Based Collaborations 101 October 22 10:15 AM 60 minutes Frisse and me A Short History of the J. Marc Overhage,
More informationALCHEMIST (Adjuvant Lung Cancer Enrichment Marker Identification and Sequencing Trials)
ALCHEMIST (Adjuvant Lung Cancer Enrichment Marker Identification and Sequencing Trials) 3 Integrated Trials Testing Targeted Therapy in Early Stage Lung Cancer Part of NCI s Precision Medicine Effort in
More informationMeaningful Use Stage 2 Update: Deploying SNOMED CT to provide decision support in the EHR
Meaningful Use Stage 2 Update: Deploying SNOMED CT to provide decision support in the EHR James R. Campbell MD University of Nebraska Medical Center Implementation Showcase October 31, 2014 Disclosure
More informationi-care Integrated Hospital Information System
i-care Integrated Hospital Information Empowering Healthcare Through Integrated Information and Intelligence Iterum TM i-care Hospital Information (HIS) provides a comprehensive and integrated solution
More informationExtreme Makeover - ICD-10 Code Edition: Demystifying the Conversion Toolkit
Extreme Makeover - ICD-10 Code Edition: Demystifying the Conversion Toolkit Deborah Kohn, MPH, RHIA, FACHE, CPHIMS, FHIMSS Principal - Dak Systems Consulting, San Mateo CA DISCLAIMER: The views and opinions
More informationUnderstanding Diagnosis Assignment from Billing Systems Relative to Electronic Health Records for Clinical Research Cohort Identification
Understanding Diagnosis Assignment from Billing Systems Relative to Electronic Health Records for Clinical Research Cohort Identification Russ Waitman Kelly Gerard Daniel W. Connolly Gregory A. Ator Division
More informationMedical Decision Logic, Inc.
Medical Decision Logic, Inc. mdlogix Registries and Health Science: Applied Health Informatics Presentation Plan Mission, Goals, and Vision Theoretical Foundation (models) Pragmatic Foundation (cases)
More informationResearch Data Extraction Service. Research and Woodruff Health Sciences IT
Research Data Extraction Service Research and Woodruff Health Sciences IT 1 Topics Emory s Clinical Data Warehouse Types of data available Accessing the data Key Points Clinical Data Warehouse initiated
More informationComputer Assisted Coding: A Path to Mitigate Risk & Reduce Cost
Computer Assisted Coding: A Path to Mitigate Risk & Reduce Cost Valerie Wilson, RHIA Senior Consulting Product Analyst HCA Mary Bessinger, MBA, RHIA, CCS, CPHQ AVP Consulting and Management Services Parallon
More informationEMR Can anyone do this?
EMR Can anyone do this? Norio Fukami, MD University of Colorado Piecemeal resection? 1 Endoscopic mucosal resection (EMR) and Endoscopic submucosal dissection (ESD) Endoscopic removal of premalignant or
More informationThe Ontario Cancer Registry moves to the 21 st Century
The Ontario Cancer Registry moves to the 21 st Century Rebuilding the OCR Public Health Ontario Grand Rounds Oct. 14, 2014 Diane Nishri, MSc Mary Jane King, MPH, CTR Outline 1. What is the Ontario Cancer
More informationRESULTS OF HOSPITAL SURVEY
RESULTS OF HOSPITAL SURVEY n=37 Georges De Moor EuroRec, Ghent University Electronic Health Records for Clinical Research 1 Which of the following best describes your organisation? Electronic Health Records
More informationCancer of the Cardia/GE Junction: Surgical Options
Cancer of the Cardia/GE Junction: Surgical Options Michael A Smith, MD Associate Chief Thoracic Surgery Center for Thoracic Disease St Joseph s Hospital and Medical Center Phoenix, AZ Michael Smith, MD
More informationLOINC Mapping AND MAINTENANCE SERVICES. CLINICAL DATA NORMALIZATION through LOINC Mapping TURN OVER TO LEARN MORE. Test Dictionary Process
LOINC Mapping AND MAINTENANCE SERVICES CLINICAL DATA NORMALIZATION through LOINC Mapping Halfpenny Technologies offers LOINC code mapping as one of our clinical data services (CDS). With basic test directory
More informationHIMSS Electronic Health Record Definitional Model Version 1.0
HIMSS Electronic Health Record Definitional Model Version 1.0 Prepared by HIMSS Electronic Health Record Committee Thomas Handler, MD. Research Director, Gartner Rick Holtmeier, President, Berdy Systems
More informationTHE CHALLENGE OF COORDINATING EMR
THE CHALLENGE OF COORDINATING EMR CLINICAL CONNECT: TWO YEARS OF REGIONAL ELECTRONIC HEALTH INFORMATION EXCHANGE NANCY A. LANDMAN, CIO INTERNATIONAL & COMMERCIAL SERVICES, UPMC 10/8/2014 2 UPMC Today:
More informationCoding Certificate Program Competencies
Coding Certificate Program Competencies A significant change in approach is noted with this release of the curricula. The emphasis and measurement of success is with attainment of the Bloom s taxonomy
More informationObjectives. ICD Background. Introduction to ICD-10 and what you need to know for a Successful Transition
Introduction to ICD-10 and what you need to know for a Successful Transition Sheila Goethel, RHIT, CCS Coding Consultant AHIMA ICD-10-CM/PCS Certified Trainer May 2011 Objectives Introduction of ICD Brief
More informationSAP Healthcare Analytics Solutions Provide physicians and researchers access to patient data from various systems in realtime
SAP Healthcare Analytics Solutions Provide physicians and researchers access to patient data from various systems in realtime Stephan Schindewolf, SAP SE, July 13, 2015 Facts per Decision Need Decision
More informationMonitoring Clinical Stage to Improve Care
Monitoring Clinical Stage to Improve Care Stephen Dreyer, MD, FACS Cancer Liaison State Chair Nebraska Fremont, NE M. Asa Carter, CTR Manager, Accreditation and Standards American College of Surgeons Chicago,
More informationAn Easily Accessed Clinical Research Database from your Epic EMR
Loyola University Chicago Health Sciences Division Stritch School of Medicine (SSOM) An Easily Accessed Clinical Research Database from your Epic EMR February 13, 2014 Speakers: Richard H. Kennedy, Ph.D.
More informationour group Mission Overview Offering
ABOUT OUR COMPANY Mission Infrahealth is dedicated to offering cost-effective infrastructure solutions tailored to achieve maximum results for healthcare professionals. We are focused on delivering medical
More informationCarolina s Journey: Turning Big Data Into Better Care. Michael Dulin, MD, PhD
Carolina s Journey: Turning Big Data Into Better Care Michael Dulin, MD, PhD Current State: Massive investments in EMR systems Rapidly Increase Amount of Data (Velocity, Volume, Veracity) The Data has
More informationADVANCING MEASUREMENT OF PATIENT- CENTERED OUTCOMES AND QUALITY METRICS WITH ELECTRONIC HEALTH RECORDS
ADVANCING MEASUREMENT OF PATIENT- CENTERED OUTCOMES AND QUALITY METRICS WITH ELECTRONIC HEALTH RECORDS Tina Hernandez-Boussard, PhD, MPH, MS Director, Surgical Health Services Research Unit Assistant Professor
More informationCaptivator EMR Device
Device Clinical Article and Abstract Summary Endoscopic Mucosal Bergman et al: EMR Training Tips Bergman et al: EMR Learning Curve ASGE: EMR & ESD Guidelines Bergman et al: Captivator EMR vs Cook Duette
More informationGE Healthcare. Centricity Health Information Exchange Services. CHUG BO1: Meaningful Use and the Health Information Exchange
GE Healthcare Centricity Health Information Exchange Services CHUG BO1: Meaningful Use and the Health Information Exchange Melissa Cummings, Marketing Director, Interoperability, GE Healthcare William
More informationCommunity Oncology 2.0 Information Technology A Practical Guide: Navigating from Today to Tomorrow
Community Oncology 2.0 Information Technology A Practical Guide: Navigating from Today to Tomorrow Lucio Gordan, MD Florida Cancer Specialists Medical Informatics and Integrated Clinical Services COA National
More informationHealth Information. Technology and Cancer Information Management. Health Information Technology & Cancer Information Management 363
Health Information Technology & 363 Health Information Technology and Cancer Information Management Opportunities in the health information field have expanded with changes in health care delivery, utilization
More informationamericanehr.com A Report by AmericanEHR Partners October 2011
Market Share and Top 10 Rated Ambulatory EHR Products by Practice Size A Report by AmericanEHR Partners October 2011 americanehr.com Copyright AmericanEHR Partners 2011 Market Share and Top 10 Rated Ambulatory
More informationCER, EHRs and the Elekta Radiation Oncology Data Alliance
CER, EHRs and the Elekta Radiation Oncology Data Alliance Joel Goldwein, MD Vice President, Medical Affairs September 11, 2009 Agenda Elekta and Elekta Software Cancer, Radiation Oncology and CER Radiation
More informationAn Open Source Web-based Application for Radiology Decision Support
An Open Source Web-based Application for Radiology Decision Support William W Boonn MD and Curtis P Langlotz MD PhD Department of Radiology Hospital of the University of Pennsylvania Philadelphia, PA Disclosures
More informationChanges in Breast Cancer Reports After Second Opinion. Dr. Vicente Marco Department of Pathology Hospital Quiron Barcelona. Spain
Changes in Breast Cancer Reports After Second Opinion Dr. Vicente Marco Department of Pathology Hospital Quiron Barcelona. Spain Second Opinion in Breast Pathology Usually requested when a patient is referred
More informationReport on CCD Functionality of Colorado Community Health Center EMR Systems September 2008
Report on CCD Functionality of Colorado Community Health Center EMR Systems September 2008 Table of Contents eclinical Works...2 NEXTGEN...5 NOTEWORTHY...7 Practice Partners...8 GE- Centricity...10 1 eclinical
More informationHIE Ready 2.0 SPECIFICATIONS MATRIX. Product Name: Version Number: Preferred Message and Trigger
HIE Ready 2.0 SPECIFICATIONS MATRIX Entity Name: Street Address: City, State, Zip: Point of Contact Name: E-mail & Phone: Alternate Contact Name: Alternate E-mail & Phone: Product Name: Version Number:
More informationTurning Patient Portals into Major EHR Assets Edward Fotsch, M.D. Douglas Gentile, M.D.
Turning Patient Portals into Major EHR Assets Edward Fotsch, M.D. Douglas Gentile, M.D. DISCLAIMER: The views and opinions expressed in this presentation are those of the author and do not necessarily
More informationSession # 205 Implementing Sustainable Revenue-Cycle Workflows: CayHealth ACO and Intermountain Healthcare
Session # 205 Implementing Sustainable Revenue-Cycle Workflows: CayHealth ACO and Intermountain Healthcare DISCLAIMER: The views and opinions expressed in this presentation are those of the author and
More informationEnterprise Imaging. Moving Beyond Traditional PACS
Enterprise Imaging Moving Beyond Traditional PACS DISCLAIMER: The views and opinions expressed in this presentation are those of the author and do not necessarily represent official policy or position
More informationSecondary Uses of Data for Comparative Effectiveness Research
Secondary Uses of Data for Comparative Effectiveness Research Paul Wallace MD Director, Center for Comparative Effectiveness Research The Lewin Group Paul.Wallace@lewin.com Disclosure/Perspectives Training:
More informationClinical Environment:
Medicos Consultants Structured Product Labeling (SPL) in the Clinical Environment: Electronic Health Records (EHR) & Digital Medical References (DMR) September 21, 2010 All Rights Reserved. 2010 No part
More informationIntegrating a Research Management System & EMR: Motivations and Benefits Host
Integrating a Research Management System & EMR: Motivations and Benefits Host Lisa Haddican, Content Marketing Specialist Specialized Solutions by Forte Developed with the expertise of 20,000 trials Clinical
More informationNot all NLP is Created Equal:
Not all NLP is Created Equal: CAC Technology Underpinnings that Drive Accuracy, Experience and Overall Revenue Performance Page 1 Performance Perspectives Health care financial leaders and health information
More informationOpen Platform. Clinical Portal. Provider Mobile. Orion Health. Rhapsody Integration Engine. RAD LAB PAYER Rx
Open Platform Provider Mobile Clinical Portal Engage Portal Allegro PRIVACY EMR Connect Amadeus Big Data Engine Data Processing Pipeline PAYER CLINICAL CONSUMER CUSTOM Open APIs EMPI TERMINOLOGY SERVICES
More informationClinical Data Services
Clinical Data Services Data Storage, Data Collection Data Management Human Research Academy October 2014 CTS Research Development Services 706.721.6247 www.ctsrds@gru.edu Objectives Participants will:
More informationIsn t this just about coding? Understanding the Impact of ICD 10 on Your Revenue Cycle. 2012 LHIMA Annual Convention 4/18/2012. Session Objectives
Understanding the Impact of ICD 10 on Your Revenue Cycle LHIMA ICD-10 SUMMIT June 18, 2013 Presented by Patty Harper, RHIA AHIMA Approved ICD 10 CM/PCS Trainer Certified EHR Implementation Manager Clinical
More informationHealthcare Professional. Driving to the Future 11 March 7, 2011
Clinical Analytics for the Practicing Healthcare Professional Driving to the Future 11 March 7, 2011 Michael O. Bice Agenda Clinical informatics as context for clinical analytics Uniqueness of medical
More informationCertification Guidance for EHR Technology Developers Serving Health Care Providers Ineligible for Medicare and Medicaid EHR Incentive Payments
I. Background Certification Guidance for EHR Technology Developers Serving Health Care Providers Ineligible for Medicare and Medicaid EHR Incentive Payments The Medicare and Medicaid EHR Incentive Programs,
More informationOBJECTIVES By the end of this segment, the community participant will be able to:
Cancer 101: Cancer Diagnosis and Staging Linda U. Krebs, RN, PhD, AOCN, FAAN OCEAN Native Navigators and the Cancer Continuum (NNACC) (NCMHD R24MD002811) Cancer 101: Diagnosis & Staging (Watanabe-Galloway
More informationThe Diagnosis of Cancer in the Pathology Laboratory
The Diagnosis of Cancer in the Pathology Laboratory Dr Edward Sheffield Christmas Select 74 Meeting, Queen s Hotel Cheltenham, 3 rd December 2014 Agenda Overview of the pathology of cancer How specimens
More informationLevel 1 Level 2 Level 3 Level 4 Level 5. At least one physician champion referring to Navigation Program
Definitions: Key Stakeholders: Those people that you feel are essential to making a program work. Include Administration, s, Staff, Physicians (both employed and private practice). Specialty areas include
More informationExtracting Value from Secondary Uses of Electronic Health Data
Extracting Value from Secondary Uses of Electronic Health Data The Regenstrief Institute, Indianapolis Indiana Thomas S. Inui, ScM, MD President and CEO, Regenstrief Institute Associate Dean for Health
More informationImproving Safety, Quality & Efficiency with an Ambulatory EMR: Can it be done?
Improving Safety, Quality & Efficiency with an Ambulatory EMR: Can it be done? Paula Spencer, PMP, CPHIMS Deborah Burgett, RN, MSHA DISCLAIMER: The views and opinions expressed in this presentation are
More informationOncology Medical Home Measure Specification Data
Oncology Medical Home Measure Specification Data Measure Name Chemotherapy pathway compliance Measure # 1 Measure Description % of chemotherapy treatments that have adhered to NCCN guidelines or pathways.
More informationIII II II 111111111111111111111111111111111111111111 1 1111111111111 III. ge: /ears sex: Male Access
UUID : 10F97F63 - EE6F-448D - 98E1-8AAA21F55753 TCGA - TS-A7PB-01A-PR Redacted III II II 111111111111111111111111111111111111111111 1 1111111111111 III Date Receive III 11111111111111111 11111111111 II
More informationAGENDA WHAT IS COMPUTER-ASSISTED CODING, REALLY? J03.0 F43.0 I10 A78 R52
R06.2 F43.0 I10 06BY3ZC J03.0 A78 03HK0MZ R52 0SG1430 COMPUTER-ASSISTED CODING AGENDA Evaluating and Understanding the Technology Review of Lessons Learned from Early Adopters Workflow and Analytics with
More informationAppendix A WORK PROCESS SCHEDULE HIM (HEALTH INFORMATION MANAGEMENT) HOSPITAL CODER O*NET-SOC CODE: 29-2071.00 RAPIDS CODE: TBD
Appendix A WORK PROCESS SCHEDULE HIM (HEALTH INFORMATION MANAGEMENT) HOSPITAL CODER O*NET-SOC CODE: 29-2071.00 RAPIDS CODE: TBD This schedule is attached to and a part of these Standards for the above
More informationCHAN Health Information Exchange (MPI/HIE) RFP
RESPONSE TO QUESTIONS CHAN Health Information Exchange (MPI/HIE) RFP Question 1 Does CHAN have an interest in Secure Messaging? Yes Answer 2 It appears that you want an on premise solution (hosted) or
More informationCDA for Common Document Types: Objectives, Status, and Relationship to Computer-assisted Coding
CDA for Common Document Types: Objectives, Status, and Relationship to Computer-assisted Coding CDA for Common Document Types: Objectives, Status, and Relationship to Computer-assisted Coding by Liora
More information2. Is the data entered: Manually (i.e. by user) Automatically (i.e. by the ST product) Both
Starter Questions for Assessing Capabilities of Surveillance Technology (ST) & Their Vendors These are questions which might be asked of each ST vendor. This preliminary information may help compare products
More informationEndoscopic Therapy for Early Esophageal Cancer: EMR and ESD
Endoscopic Therapy for Early Esophageal Cancer: EMR and ESD AATS Toronto April 26, 2014 Lorenzo Ferri MD PhD David S. Mulder Chair in Surgery Associate Professor of Surgery and Oncology Disclosures Olympus
More informationSanta Cruz Health Information Exchange. Bill Beighe, CIO Physicians Medical Group
Santa Cruz Health Information Exchange Bill Beighe, CIO Physicians Medical Group HIE /Medical Community Profile 350+ Providers 700 Active HIE Users Independent Physicians, Facilities, County Health, Safety
More informationBreast. Patient information. cancer clinical pathway
Breast Patient information cancer clinical pathway This leaflet was written to properly inform people following breast cancer treatment plan. It doesn t replace the dialogue with healthcare staff; it rather
More informationAhmed AlBarrak PhD Medical Informatics Associate Professor, Family & Community Med. Chairman, Medical Informatics Department College of Medicine King
Ahmed AlBarrak PhD Medical Informatics Associate Professor, Family & Community Med. Chairman, Medical Informatics Department College of Medicine King Saud University albarrak@ksu.edu.sa What are Medical
More informationNew York ehealth Collaborative. Health Information Exchange and Interoperability April 2012
New York ehealth Collaborative Health Information Exchange and Interoperability April 2012 1 Introductions Information exchange patient, information, care team How is Health information exchanged Value
More informationConsolidated Clinical Document Architecture and its Meaningful Use Nick Mahurin, chief executive officer, InfraWare, Terre Haute, Ind.
Consolidated Clinical Document Architecture and its Meaningful Use Nick Mahurin, chief executive officer, InfraWare, Terre Haute, Ind. Helping Doctors Regain Their Voice SM A Whitepaper for the Healthcare
More informationIntegration for your Health Information System
Integration for your Health Information System Achieve comprehensive healthcare IT integration that leverages your existing IT investments and helps you meet the growing demands of Meaningful Use, HIE,
More informationCancer Care Delivered Locally by Physicians You Know and Trust
West Florida Physician Office Building Johnson Ave. University Pkwy. Olive Road N. Davis Hwy. For more information on West Florida Cancer Center: 850-494-5404 2130 East Johnson Avenue Pensacola, Florida
More informationHealth Information Administration. Program Description
Program Description The Peirce College Bachelor of Science in degree program will prepare students for employment in administrative and managerial positions in hospitals, clinics, managed care organizations,
More informationStandardized Representation for Electronic Health Record-Driven Phenotypes
Standardized Representation for Electronic Health Record-Driven Phenotypes April 8, 2014 AMIA Joint Summits for Translational Research Rachel L. Richesson, PhD Shelley A. Rusincovitch Michelle M. Smerek
More informationICD-10-CM The Case for Moving Forward
A Health Data Consulting White Paper 1056 6th Ave S Edmonds, WA 98020-4035 206-478-8227 www.healthdataconsulting.com ICD-10-CM The Case for Moving Forward Joseph C Nichols MD Principal 23 March 2012 THE
More informationWhat is the Certified Health Record Analyst (CHDA)?
What is the Certified Health Record Analyst (CHDA)? Ellen S. Karl, MBA, RHIA, CHDA, FAHIMA Exam specifics; how long is it, how do I apply, etc.? Exam specifics; how long is it, how do I apply, etc.? Number
More informationTechnology Using Electronic Health Records to Improve the
Health Information Law and Technology Using Electronic Health Records to Improve the Public s Health David C Kaelber, MD, PhD, MPH, FAAP, FACP Internal Medicine and Pediatrics Physician Chief Medical Informatics
More informationSupporting the Physician Practice through Information Systems
Supporting the Physician Practice through Information Systems Systems & Enabling Technologies CareNet+ MyAdvocate CliniCare SynAPPs CareConnection UpToDate CIRRIS Advocate Health Care Information Systems
More informationNatural Language Processing Supporting Clinical Decision Support
Natural Language Processing Supporting Clinical Decision Support Applications for Enhancing Clinical Decision Making NIH Worksop; Bethesda, MD, April 24, 2012 Stephane M. Meystre, MD, PhD Department of
More informationAccessing Data for Clinical Researchers: The Boston Medical Center Clinical Data Warehouse
Accessing Data for Clinical Researchers: The Boston Medical Center Clinical Data Warehouse Linda Rosen, MSEE Clinical Data Warehouse Research Manager Richard Saitz, MD, MPH Associate Director, Office of
More informationASA Medical Services Company Brochure
ASA Medical Services Company Brochure ASA Medical Billing Services 588 56 th Street 2 nd Floor West New York, NJ 07093-1236 Office: (201)-770-1103 Fax : (201)-770-1104 www.asamedicalbilling.com Why Use
More informationMeaningful Use as a Driver for EHR Adoption
white paper Meaningful Use as a Driver for EHR Adoption How Nuance Healthcare Can Help Bridge the Gap to Structured Data Entry healthcare Contents Executive Summary...3 Introduction...3 Emerging Hybrid
More informationreporting to the Cancer Medical Malware
Clinic/Physician Office Reporting Project National Center for Chronic Disease Prevention and Health Promotion Division of Cancer Prevention and Control BACKGROUND The Problem Traditional data collection
More informationLeveraging EHR to Improve Patient Safety: A Davies Story
Leveraging EHR to Improve Patient Safety: A Davies Story Claudia Colgan, Vice President of Quality Initiatives Bruce Darrow, MD, PhD, Interim Chief Medical Information Officer Jill Kalman, MD, Director
More informationHealth Information Exchange in Minnesota & North Dakota
Health Information Exchange in Minnesota & North Dakota April 16, 2014 Objectives Learn basic HIE concepts Understand key success factors for HIE Gain an understanding of Minnesota and North Dakota s approach
More informationI n t e r S y S t e m S W h I t e P a P e r F O R H E A L T H C A R E IT E X E C U T I V E S. In accountable care
I n t e r S y S t e m S W h I t e P a P e r F O R H E A L T H C A R E IT E X E C U T I V E S The Role of healthcare InfoRmaTIcs In accountable care I n t e r S y S t e m S W h I t e P a P e r F OR H E
More information