unsw from ocis to openmrs
DESCRIPTION
Presentation on A/Prof. T Hannan's experiences from the Johns Hopkins Onclogy CIS to MMRS. AMPATH to OpenMRSTRANSCRIPT
April 10, 2023April 10, 2023
Demonstrating the success of the e-health in resource poor (and developed)
economies. Making it work.
AIHI, UNSW28th June 2012.
DR TERRY J HANNAN MBBS;FRACP;FACHI;FACHI
HEALTH INFORMATICIAN
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Schema for presentation.
•The journey to Kenya•POWH-OCIS to CCCIS-lessons learnt•AMIA November 1999•Eldoret January 2000•MMRS to AMPATH to OpenMRS•AMIA 2007•Update on status of OpenMRS project•3 x short movies (~3-4mins each)• Questions
1982-1984 Non clinical evaluation
1984-1986 physician involvement and evaluation
1986-1987 Modification of program / dictionaries /screen displays / reports / units of measurement
1984-1987 ABSTRACT[SUMMARISATION] modification and implementation (Continuing evolution)
1986 MANUAL data entry of laboratory data
1987 MANUAL data entry by NURSING STAFF of clinical / protocol / chemotherapy data
1988-1989 AUTOMATED LABORATORY DATA TRANSFER
1989 REPORT GENERATOR functions(FLOWS &PLOTS)
1990-1992 Protocol generated care plans tested and evaluated
1990DRG diagnostic data electronically collated for administration [2nd art to CLINICAL DATA]. CLINICAL TRAILS module implemented
10 yearsHannan, T., International transfer of the Johns Hopkins Oncology Center clinical information system. MD Comput, 1994. 11(2): p. 92-9.
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“Bibles of Health Informatics”
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ACKNOWLEDGEMENTS FOR AMPATH/OPENMRS INFORMATION
W. TierneyAndrew S Kanter, Hamish SF Fraser,
Christopher J. Seebregts, Paul Biondich, Burke Mamlin,
Sylvester Kimaiyo, Charles Safran, Joaquin BlayaDave ThomasJoe Mamlin
Sylvester KimaiyoOpenMRS consortium participants www.openmrs.org
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Collaborators and Funders Collaborators and Funders Partners In HealthPartners In Health Regenstrief instituteRegenstrief institute Medical Research Council, South AfricaMedical Research Council, South Africa World Health OrganizationWorld Health Organization US Centers for Disease ControlUS Centers for Disease Control Brigham and Women hospitalBrigham and Women hospital Harvard Medical SchoolHarvard Medical School University of KwaZulu-NatalUniversity of KwaZulu-Natal Millennium Villages ProjectMillennium Villages Project International Development Research Centre, OttawaInternational Development Research Centre, Ottawa Rockefeller FoundationRockefeller Foundation Fogarty International Center, NIHFogarty International Center, NIH Boston Consulting GroupBoston Consulting Group Google IncGoogle Inc PEPFARPEPFAR
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Health care is an information business
Information is not a necessary adjunct to care, it is care, and effective patient management requires effective
management of patients’ clinical data. Donald M. Berwick President and CEO, Institute for
Healthcare Improvement
There is no health without management, and there is no management without information.
Gonzalo Vecina Neto, head of the Brazilian National Health Regulatory Agency
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TECHNOLOGY IS NOT THE PROBLEM[30 years EMR experience and research]
Retrieval times-Fast (blink times)Data and information-ComprehensiveData storage- Long-term-lifelongData applications-Introspective of total databaseData storage-
200 million coded observations3.25 million narrative reports15 million prescriptions212,000 ECG tracingsMore than 1.3 million patients
Access-1300 medical nurses1000 physicians220 medical studentsAcross health care institutions (16)Data access more than 628,000 / monthC.J. McDonald, et al, The Regenstrief Medical Record System: A quarter century experience. Int J
Med Inform 54 (1999), 225‑253.)
By products of the care processRESEARCH-accuracy / $ EPIDEMIOLOGYADMIN SUPPORT“Record once use many times”
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CCDSS TOOLS IN CLINICAL MEDICINE-REQUIREMENTS
1.ALERTING 2. REMINDING3. INTERPRETATION4.ASSISTING5.CRITIQUING6.DIAGNOSING7.MANAGING8. KNOWLEDGE ACCESS /COUPLING [“Medicine in Denial.” L.Weed,L.Weed.2011]
Pryor TA, Clayton PD. Decision support systems for clinical medicine. Tutorial 11.15th SCAMC.Nov. 17. 1991.
SUMMARISATION
1. Communication of health care is maintained using a Summary patient format in the ambulatory setting.Fries. J. Alternatives in medical record formats. Medical care. 1984;12:871-881
2. Summary patient record - information accessible four times faster- contains up to four times more information- Tabulated results allow physicians to better predict future trends in results Whiting-O’Keefe QW,Simborg DW,Epstein WV,Medical Care 1980;18:842-852
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USING PHYSICIAN INPATIENT ORDER WRITING ON MICROCOMPUTER WORKSTATIONS. REDUCTION IN HEALTH CARE RESOURCE UTILISATION
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TOTALBEDTESTDRUGOTHERLOS
Physician inpatient order writing on microcomputer workstations-effects on resource utilisation. WM Tierney and others. JAMA 1993;269:379-383
$3 million per year savings-(USA $65b)
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Pestotnik, S. L. Classen, D. C. Evans, R. S. Burke, J. P. Implementing antibiotic practice guidelines through computer-assisted decision support: clinical and financial outcomes.Ann Intern Med 1996 May 15
Intermountain Health Care, Salt Lake City, Utah, USA
STUDY DESIGN• Computer-based EMR system• Patients discharged January 1, 1988 to December 31, 1994• 162,196 patients
•Goal: to determine clinical and financial outcomes of the• antibiotic practice guidelines implemented through the • computer system
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Intermountain Health Care, Salt Lake City, Utah, USA
Overall antibiotic use: decreased 22.8%Mortality rates: decreased from 3.65% to 2.65%Antibiotic-associated ADE: decreased 30%Antibiotic resistance: remained STABLEAppropriately timed preoperative a/biotics: 40% to 99.1%Antibiotic costs per treated patient: decreased $122.66 to $51.90Acquisition costs for antibiotics: fell 24.8% to 12.9% ($987,547) to ($612,500)
Our Case-Mix index which measures patient acuity levels INCREASED during this period, meaning we were treating sicker and sicker patients while better utilizing the delivery of antibiotics.
Pestotnik, S. L. Classen, D. C. Evans, R. S. Burke, J. P. Implementing antibiotic practice guidelines through computer-assisted decision support: clinical and financial outcomes.Ann Intern Med 1996 May 15
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AMIA – November 1999An invitation from Prof. Bill TierneyTo KENYA Jan 2000
AIDS in AfricaAIDS in Africa The Global AIDS Pandemic at a Glance-2000
Leading infectious cause of adult death in the world Leading cause of death in adults aged 15–59 First case of AIDS recognized in 1981 40 million persons now living with HIV/AIDS, 50% women >70% of HIV-infected persons living in Africa 14,000 new infections daily Sexual transmission responsible for more than 85% of
infections 6 million in need of immediate treatment and fewer than 8%
receiving it
SOURCES: Quinn and Chaisson, 2004; WHO, 2003a,b.
AIDS in AfricaAIDS in Africa
In Kenya…In Kenya…2.5 million persons infected (15% of adults)2.5 million persons infected (15% of adults)44thth behind South Africa, India, and Nigeria behind South Africa, India, and Nigeria1 million AIDS orphans (of 31 million citizens)1 million AIDS orphans (of 31 million citizens) life expectancy has dropped 18 years in the life expectancy has dropped 18 years in the
past 5 years, from 65 → 47 yearspast 5 years, from 65 → 47 years
14-year collaboration between IU and MU14-year collaboration between IU and MU11stst 11 years → focus=educational exchange 11 years → focus=educational exchange In 2001 Joe Mamlin returnedIn 2001 Joe Mamlin returned
found >50% of the beds in Moi Hospital were found >50% of the beds in Moi Hospital were filled with young people dying of AIDSfilled with young people dying of AIDS
no ARVs, few antibiotics for opportunistic no ARVs, few antibiotics for opportunistic infectionsinfections
despair, depression, resignationdespair, depression, resignationThen…DanielThen…Daniel
One solution: Academic One solution: Academic collaborationcollaboration
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Limited resourcesLimited resources
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A response to HIVA response to HIV
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Existing systems overburdenedExisting systems overburdened
30-40 million cases HIV/AIDs
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PreMMRS
Assignment: knowing there is a 14% prevalence of HIV/AIDS.What are the health information management needs here?
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PreMMRS
Assignment: knowing there is a 14% prevalence of HIV/AIDS.What are the health information management needs here?
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MMRS data (2 years)63,728 visits
Diagnoses # Visits Drugs # Visits
Malaria 17,495 Paracetamol 24,944
URI 8,479 Fansidar 11,550
Septic wound 1,329 Quinine, injected 8,769
Gastroenteritis 964 Penicillin, injected 8,058
Tonsilitis 938 Quinine, oral 7,851
Wound (unspec.) 791 Penicillin, oral 4,753
Myalgia 700 Amoxicillin 4,725
Amebiasis 629 Depoprovera 4,443
Laceration 618 Piriton 3,766
Worms (unspec.) 544 Brufen 3,323
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MMRS data (2 years)63,728 visits
Diagnoses # Visits Drugs # Visits
Malaria 17,495 Paracetamol 24,944
URI 8,479 Fansidar 11,550
Septic wound 1,329 Quinine, injected 8,769
Gastroenteritis 964 Penicillin, injected 8,058
Tonsilitis 938 Quinine, oral 7,851
Wound (unspec.) 791 Penicillin, oral 4,753
Myalgia 700 Amoxicillin 4,725
Amebiasis 629 Depoprovera 4,443
Laceration 618 Piriton 3,766
Worms (unspec.) 544 Brufen 3,323
NO HIV
and NO T
B
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“We have lit a candle in the darkness of Africa”William Tierney.
Kenyan Gov’t: “This record system must be in every clinic in Kenya!”
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A Year of Growth?A Year of Growth?
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A Year of Growth… One Year LaterA Year of Growth… One Year Later
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WHO/Evelyn HocksteinOutreach workers download completed forms into Mosoriot clinic's data management system daily. Automated alerts flag any alarming new symptoms to the attention of the responsible clinical officer, or when a patient has missed an appointment so that outreach workers can find out what is wrong.
An innovative home-care programme using hand-held computers is also being piloted in the region. Monica Korir, who is living with HIV and is trained as an outreach worker, interviews Paul Ekorok, 52, at his home in Captarit village and records his answers.
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WHO/Evelyn HocksteinIn Eldoret, Erika Muthoni Kigotho supervises 17 data entry specialists who have received training on HIV care and in spotting potential errors in record-keeping. Electronically generated paper charts, along with reminders for appropriate tests and treatment, are returned to Mosoriot within 48 hours of receipt.
Ezekiel Muruli transports charts daily from Mosoriot to Eldoret, about 25 kms away, where data from paper records are entered into a central electronic system. Direct electronic data transfer is not feasible because Mosoriot does not have high-speed Internet access.
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Early PHRS
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Salina- “Rattling bones syndrome”
Starvation!
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Salina on anti-retroviral therapy
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HIV is a treatable disease, but treating millions requires information management.
HIV is a treatable disease, but treating millions requires information management.
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Adult HIV/AIDS clinicsPediatric HIV/AIDS clinicsPrimary care – rural health clinicsPrimary care – urban well-child clinicsAntenatal and postnatal clinics Mother-baby register
Oncology clinicsMental health clinics Diabetes clinics Tuberculosis clinicsClinic pharmaciesClinical laboratories
Social worker assessmentsOutreach – patient follow-upDrug adherence assessments
Nutrition assessmentsFood supplement distributionMicrofinance program
AMPATH clinical and support programs capturing electronic data.ALL DISEASE STATES NOT JUST HIV/AIDS
AMPATH maintenance cost only $175/patient/year in 2007 and is now less than $100/patient/year in 2009
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Birth of OpenMRS Collaboration-Regenstrief/PIH MEDINFO San Francisco 2007
Prof. Paul Biondich
A/Prof. Hamish Fraser
A/Prof. Burke Mamlin
The plural of anecdote is not data.The plural of anecdote is not data.
““we must remove ourselves from the we must remove ourselves from the
‘unscientific, non data driven personal ‘unscientific, non data driven personal
recommendations’ for care”. recommendations’ for care”.
Dr. M. Smith CHCF AMIA 2009Dr. M. Smith CHCF AMIA 2009
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Patients Enrolled by Month: Nov ’01 – Jan ‘12
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Cumulative Patients Enrolled: Nov ’01 – Jan ‘12
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Patient Visits By Month: Nov ’01 – Jan ‘12
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To improve care, you have to measure it. Not possible using current paper-based medical record systems. W.Tierney, Regenstrief Institute, Indiana.
The foundation for quality patient care is information – Comprehensive, Accurate, Up-to-the-minute clinical Information. Information management is care- E. Shortliffe, Stanford.
AMPATH PEER REVIEWED PUBLICATIONS SINCE 2000 ~160
ALL GRANTS AND CONTRACTS CURRENTLY FUNDED TO DATE (N=74) $40,928,084US
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MTCT-PlusProgram
AIDS ClinicalTrialsGroup
GN for Women’s &Children’s
HealthResearch
NHLBI Global Health
InitiativeIeDEA
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Patient summaryand alerts
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OpenMRS is…OpenMRS is…
An Electronic Medical Record System
A data model
An API
An HIV system
A TB system
A Primary Care system
A developer community
An implementer community
… and more.… and more.
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Multiple usesMultiple uses
Turbo
Burnt ForestMosoriot
50 km
Amukura
Chulaimbo
Naitiri
Webuye
Teso
Kapsakwony
Kapenguria
Kitale
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OpenMRS sites - fall 2008OpenMRS sites - fall 2008
400,000 patients
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OpenMRS sites – Spring 2010
600,000 patients
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OpenMRS in Peru March 2006-2007
In total, e-Chasqui will serve a network of institutions providing medical care for over 3.1 million people.
benefits the test always available during clinical decision making reducing duplicate tests performed
reducing the time and money spent by staff checking the status of their samples.
The cost to maintain this system is ~US$0.53 per sample or 1% of the National Peruvian TB program's 2006 budget.
Government support to distribute throughout Peru
A web-based laboratory information system to improve quality of care of tuberculosis patients in Peru: functional requirements, implementation and usage statistics. Blaya, J.A., et al., BMC Med Inform Decis Mak, 2007. 7: p.33
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Features of OpenMRS Part 1
Security: User authentication Privilege-based access: User roles and permission system Patient repository: Creation and maintenance of patient data, including demographics, clinical observations, encounter data, orders, etc. Multiple identifiers per patient: A single patient may have multiple medical record numbers Data entry: With the FormEntry module, clients with InfoPath (included in Microsoft Office 2003 and later) can design and enter data using flexible, electronic forms. With the HTML FormEntry module, forms can be created with customized HTML and run directly within the web application. Data export: Data can be exported into a spreadsheet format for use in other tools (Excel, Access, etc.) Standards support: HL7 engine for data import Modular architecture: An OpenMRS Module can extend and add any type of functionality to the existing API and webapp.
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Features of OpenMRS Part 1Patient workflows: An embedded patient workflow service allows patient to be put into programs (studies, treatment programs, etc.) and tracked through various states. Cohort management: The cohort builder allows you to create groups of patients for data exports, reporting, etc. Relationships: Relationships between any two people (patients, relatives, caretakers, etc.) Patient merging: Merging duplicate patients Localization / internationalization: Multiple language support and the possibility to extend to other languages with full UTF-8 support. Support for complex data: Radiology images, sound files, etc. can be stored as “complex” observations Reporting tools: Flexible reporting tools Person attributes: The attributes of a person can be extended to meet local needs
Lessons learnedLessons learned
Clinical information systems are possible in Clinical information systems are possible in even the most resource-constrained placeseven the most resource-constrained places
CollaborationCollaboration with established informatics with established informatics programs is a mustprograms is a must
Primary goals → Primary goals → sustainabilitysustainability of the EMR, of the EMR, independenceindependence of the developing country of the developing country
Start Start smallsmall and build to and build to serve local needsserve local needsAnticipate challenges and prepare for themAnticipate challenges and prepare for themMaintain hope and enthusiasmMaintain hope and enthusiasm
April 10, 2023April 10, 2023 AMPATH Medical Record System (AMRS): Collaborating Toward An EMR for Developing Countries Burke W. Mamlin, M.D. and Paul G. Biondich, M.D., M.S. Regenstrief Institute, Inc. and Indiana University School of Medicine, Indianapolis, IN
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WHAT OTHERS SAY ABOUT THE INDIANA-KENYA PARTNERSHIP
Nominated for the 2007 Nobel Peace Prize; featured in The Wall Street Journal
“The people working on this program are public health heroes. They are doing things that many people thought could never be done, and it is going to have a huge multiplier effect.”
--Dr. Tim Evans, former director of health equity for the Rockefeller Foundation
“Much more accurately described as an Academic MIRACLE in response to AIDS.”
--Michael E. Ranneberger, U.S. Ambassador to Kenya
“The most important and comprehensive HIV/AIDS effort in all of Africa.”
- James Morris, former executive director, United Nations World Food Program
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“Now HIV/AIDS programs are not only in place but some of them, including the partnership between the United States Agency for International Development (USAID) and the Academic Model Providing Access to Healthcare (AMPATH) are openly speaking of bringing the pandemic to its knees over the next 5 years through widespread screening and effective treatment and prevention of HIV.”
Braitstein, P., et al., "Talkin' about a revolution": How electronic health records can facilitate the scale-up of HIV care and treatment and catalyze primary care in resource-constrained settings. J Acquir Immune Defic Syndr, 2009. 52 Suppl 1: p. S54-7.
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