Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Jeffrey Gordon Klann, Ph.D.

Profile Picture

MIT, Cambridge, MABS2001Computer Science and Engineering
MIT, Cambridge, MAMEng2004Electrical Engineering and Computer Science
Indiana University, Indianapolis, INPhD2012Health Informatics
Regenstrief Institute, Indianapolis, INfellowship2012Medical Informatics
Sigma Xi Research Honor Society
Outstanding incoming student
Student Paper Competition: Finalist
Student Paper Competition: 2nd Place
Top 15% of Graduate Students at my University
Editor's Choice Award
Best Paper Award in Computerized Clinical Decision Support Systems
Most Influential Data Interoperability Paper of 2015

I believe that technology can and should have the same positive impact in the medical world it has in the consumer world, and that the nation's massive investment in Health Information Technology should translate into accelerated innovation and discovery and improved quality, efficiency, and safety of healthcare. I feel that computers are a paradigm shift in medicine, rather than an evolution of paper-based processes. To that end, I am interested in fundamentally new ways of using medical data that were not possible in paper records.

Knowledge discovery for clinical decision support: How can we learn from the mass of EMR data, and what can we learn from it to help clinicians perform their work more accurately and efficiently? In the world-wide-web, we believe the crowd. We trust them to help us select movies (Netflix), to shop (Amazon), and to filter our spam (Gmail). However, clinical decision support systems and health standards are generally developed by experts carefully studying small cohorts of patients. In healthcare, how much is the crowd (of highly trained physicians) to be trusted? How can we leverage data mining techniques developed over the last decade to extract crowd wisdom from the masses of data? I have developed and continue to refine methods to transform medical data into drafts of decision support content.

Sharing medical data to improve population health: I am currently engaged in two projects in this area. One, I am the lead researcher in enabling i2b2 for distributed cross-platform measurement of population health (the Query Health initiative). i2b2 is a clinical data analytics platform in use at over 80 sites nationwide. My contributions are currently showcased at two national pilots, with more coming. Two, I lead a project to improve patient safety by making IHI Trigger Tool methodologies for adverse event detection more accessible across institutions.

Revolutionizing user interfaces: Services like Google use a single interface to perform search, calculations, and many other functions. EMRs, on the other hand, are often rigid point-and-click interfaces prevalent before the web. Many clinicans find the amount of clicking and the awkward drop-down-menus to be very aggravating, which is unacceptable in a time-constrained environment. Additionally, EMRs need to display very complex historical and anatomical data in easy-to-digest ways. How can we summarize complex data in a rapidly digestable format? I have published work in: summarizing medical records through a problem-oriented view, visualizing the patient record as a timeline, filtering irrelevant problems from the problem list, searching the patient record, and automatically listening to and interpreting doctor-patient conversations through microphones in the office. Several of these projects are ongoing, such as producing a predictive problem-oriented view for dermatology and continued development of a substitutable technology platform to enable innovate medical apps to run on multiple systems.

Making PHRs viable: Personal Health Records (PHRs) have appeared over the last several years with the promise of helping people manage their health information more easily. Yet most existing PHRs are only slightly more useful than an unstructured collaborative document. Few have adopted PHRs, except for those with massive information-cataloging needs (e.g., caregivers of elderly adults). However, there may be a use-case for the PHR. Patients are aggravated they have no access to their health information. Physicians, also, express frustration at having limited access to patient-gathered information (e.g., blood glucose logs). Patient portals have been successful in providing secure communication and some medical information exchange between patients and single hospital systems. Services such as PatientsLikeMe and CureTogether have been successful in using collective patient information to build community and collaborative disease profiles. A useful PHR must integrate these features. Essentially, the PHR should be part of the social web, allowing us to share medical information (in a controlled way) in the same vein that we share our activities with Facebook friends. It is not a disconnected application, but a tool in our increasingly information-hungry society. Of course, this raises many issues of security, privacy, liability, and data ownership.

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
Newest   |   Oldest   |   Most Cited   |   Most Discussed   |   Timeline   |   Field Summary   |   Plain Text
PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Klann JG, Estiri H, Weber GM, Moal B, Avillach P, Hong C, Tan ALM, Beaulieu-Jones BK, Castro V, Maulhardt T, Geva A, Malovini A, South AM, Visweswaran S, Morris M, Samayamuthu MJ, Omenn GS, Ngiam KY, Mandl KD, Boeker M, Olson KL, Mowery DL, Follett RW, Hanauer DA, Bellazzi R, Moore JH, Loh NW, Bell DS, Wagholikar KB, Chiovato L, Tibollo V, Rieg S, Li ALLJ, Jouhet V, Schriver E, Xia Z, Hutch M, Luo Y, Kohane IS, Brat GA, Murphy SN. Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J Am Med Inform Assoc. 2021 07 14; 28(7):1411-1420. PMID: 33566082.
    Citations: 4     Fields:    Translation:Humans
  2. Rossetti SC, Knaplund C, Albers D, Dykes PC, Kang MJ, Korach TZ, Zhou L, Schnock K, Garcia J, Schwartz J, Fu LH, Klann JG, Lowenthal G, Cato K. Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework. J Am Med Inform Assoc. 2021 06 12; 28(6):1242-1251. PMID: 33624765.
    Citations: 2     Fields:    
  3. Schnock KO, Kang MJ, Rossetti SC, Garcia J, Lowenthal G, Knaplund C, Chang F, Albers D, Korach TZ, Zhou L, Klann JG, Cato K, Bates DW, Dykes PC. Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings. Int J Med Inform. 2021 09; 153:104525. PMID: 34171662.
    Citations:    Fields:    Translation:Humans
  4. Bourgeois FT, Gutiérrez-Sacristán A, Keller MS, Liu M, Hong C, Bonzel CL, Tan ALM, Aronow BJ, Boeker M, Booth J, Cruz Rojo J, Devkota B, García Barrio N, Gehlenborg N, Geva A, Hanauer DA, Hutch MR, Issitt RW, Klann JG, Luo Y, Mandl KD, Mao C, Moal B, Moshal KL, Murphy SN, Neuraz A, Ngiam KY, Omenn GS, Patel LP, Jiménez MP, Sebire NJ, Balazote PS, Serret-Larmande A, South AM, Spiridou A, Taylor DM, Tippmann P, Visweswaran S, Weber GM, Kohane IS, Cai T, Avillach P. International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries. JAMA Netw Open. 2021 06 01; 4(6):e2112596. PMID: 34115127.
    Citations: 1     Fields:    Translation:HumansPHPublic Health
  5. Visweswaran S, Samayamuthu MJ, Morris M, Weber GM, MacFadden D, Trevvett P, Klann JG, Gainer VS, Benoit B, Murphy SN, Patel L, Mirkovic N, Borovskiy Y, Johnson RD, Wyatt MC, Wang AY, Follett RW, Chau N, Zhu W, Abajian M, Chuang A, Bahroos N, Reeder P, Xie D, Cai J, Sendro ER, Toto RD, Firestein GS, Nadler LM, Reis SE. Development of a Coronavirus Disease 2019 (COVID-19) Application Ontology for the Accrual to Clinical Trials (ACT) network. JAMIA Open. 2021 Apr; 4(2):ooab036. PMID: 34113801.
  6. Visweswaran S, Samayamuthu MJ, Morris M, Weber GM, MacFadden D, Trevvett P, Klann JG, Gainer V, Benoit B, Murphy SN, Patel L, Mirkovic N, Borovskiy Y, Johnson RD, Wyatt MC, Wang AY, Follett RW, Chau N, Zhu W, Abajian M, Chuang A, Bahroos N, Reeder P, Xie D, Cai J, Sendro ER, Toto RD, Firestein GS, Nadler LM, Reis SE. Development of a COVID-19 Application Ontology for the ACT Network. medRxiv. 2021 Apr 14. PMID: 33791734.
  7. Kohane IS, Aronow BJ, Avillach P, Beaulieu-Jones BK, Bellazzi R, Bradford RL, Brat GA, Cannataro M, Cimino JJ, García-Barrio N, Gehlenborg N, Ghassemi M, Gutiérrez-Sacristán A, Hanauer DA, Holmes JH, Hong C, Klann JG, Loh NHW, Luo Y, Mandl KD, Daniar M, Moore JH, Murphy SN, Neuraz A, Ngiam KY, Omenn GS, Palmer N, Patel LP, Pedrera-Jiménez M, Sliz P, South AM, Tan ALM, Taylor DM, Taylor BW, Torti C, Vallejos AK, Wagholikar KB, Weber GM, Cai T. What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask. J Med Internet Res. 2021 03 02; 23(3):e22219. PMID: 33600347.
    Citations: 1     Fields:    Translation:Humans
  8. Haendel MA, Chute CG, Bennett TD, Eichmann DA, Guinney J, Kibbe WA, Payne PRO, Pfaff ER, Robinson PN, Saltz JH, Spratt H, Suver C, Wilbanks J, Wilcox AB, Williams AE, Wu C, Blacketer C, Bradford RL, Cimino JJ, Clark M, Colmenares EW, Francis PA, Gabriel D, Graves A, Hemadri R, Hong SS, Hripscak G, Jiao D, Klann JG, Kostka K, Lee AM, Lehmann HP, Lingrey L, Miller RT, Morris M, Murphy SN, Natarajan K, Palchuk MB, Sheikh U, Solbrig H, Visweswaran S, Walden A, Walters KM, Weber GM, Zhang XT, Zhu RL, Amor B, Girvin AT, Manna A, Qureshi N, Kurilla MG, Michael SG, Portilla LM, Rutter JL, Austin CP, Gersing KR. The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. J Am Med Inform Assoc. 2021 03 01; 28(3):427-443. PMID: 32805036.
    Citations: 30     Fields:    Translation:Humans
  9. Weber GM, Hong C, Palmer NP, Avillach P, Murphy SN, Gutiérrez-Sacristán A, Xia Z, Serret-Larmande A, Neuraz A, Omenn GS, Visweswaran S, Klann JG, South AM, Loh NHW, Cannataro M, Beaulieu-Jones BK, Bellazzi R, Agapito G, Alessiani M, Aronow BJ, Bell DS, Bellasi A, Benoit V, Beraghi M, Boeker M, Booth J, Bosari S, Bourgeois FT, Brown NW, Bucalo M, Chiovato L, Chiudinelli L, Dagliati A, Devkota B, DuVall SL, Follett RW, Ganslandt T, García Barrio N, Gradinger T, Griffier R, Hanauer DA, Holmes JH, Horki P, Huling KM, Issitt RW, Jouhet V, Keller MS, Kraska D, Liu M, Luo Y, Lynch KE, Malovini A, Mandl KD, Mao C, Maram A, Matheny ME, Maulhardt T, Mazzitelli M, Milano M, Moore JH, Morris JS, Morris M, Mowery DL, Naughton TP, Ngiam KY, Norman JB, Patel LP, Pedrera Jimenez M, Ramoni RB, Schriver ER, Scudeller L, Sebire NJ, Serrano Balazote P, Spiridou A, Tan AL, Tan BW, Tibollo V, Torti C, Trecarichi EM, Vitacca M, Zambelli A, Zucco C, Kohane IS, Cai T, Brat GA. International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study. medRxiv. 2021 Feb 05. PMID: 33564777.
  10. Raisaro JL, Marino F, Troncoso-Pastoriza J, Beau-Lejdstrom R, Bellazzi R, Murphy R, Bernstam EV, Wang H, Bucalo M, Chen Y, Gottlieb A, Harmanci A, Kim M, Kim Y, Klann J, Klersy C, Malin BA, Méan M, Prasser F, Scudeller L, Torkamani A, Vaucher J, Puppala M, Wong STC, Frenkel-Morgenstern M, Xu H, Musa BM, Habib AG, Cohen T, Wilcox A, Salihu HM, Sofia H, Jiang X, Hubaux JP. SCOR: A secure international informatics infrastructure to investigate COVID-19. J Am Med Inform Assoc. 2020 11 01; 27(11):1721-1726. PMID: 32918447.
    Citations: 4     Fields:    Translation:HumansPHPublic Health
  11. Ong MS, Klann JG, Lin KJ, Maron BA, Murphy SN, Natter MD, Mandl KD. Claims-Based Algorithms for Identifying Patients With Pulmonary Hypertension: A Comparison of Decision Rules and Machine-Learning Approaches. J Am Heart Assoc. 2020 10 20; 9(19):e016648. PMID: 32990147.
    Citations: 2     Fields:    Translation:Humans
  12. Brat GA, Weber GM, Gehlenborg N, Avillach P, Palmer NP, Chiovato L, Cimino J, Waitman LR, Omenn GS, Malovini A, Moore JH, Beaulieu-Jones BK, Tibollo V, Murphy SN, Yi SL, Keller MS, Bellazzi R, Hanauer DA, Serret-Larmande A, Gutierrez-Sacristan A, Holmes JJ, Bell DS, Mandl KD, Follett RW, Klann JG, Murad DA, Scudeller L, Bucalo M, Kirchoff K, Craig J, Obeid J, Jouhet V, Griffier R, Cossin S, Moal B, Patel LP, Bellasi A, Prokosch HU, Kraska D, Sliz P, Tan ALM, Ngiam KY, Zambelli A, Mowery DL, Schiver E, Devkota B, Bradford RL, Daniar M, Daniel C, Benoit V, Bey R, Paris N, Serre P, Orlova N, Dubiel J, Hilka M, Jannot AS, Breant S, Leblanc J, Griffon N, Burgun A, Bernaux M, Sandrin A, Salamanca E, Cormont S, Ganslandt T, Gradinger T, Champ J, Boeker M, Martel P, Esteve L, Gramfort A, Grisel O, Leprovost D, Moreau T, Varoquaux G, Vie JJ, Wassermann D, Mensch A, Caucheteux C, Haverkamp C, Lemaitre G, Bosari S, Krantz ID, South A, Cai T, Kohane IS. International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. NPJ Digit Med. 2020; 3:109. PMID: 32864472.
    Citations: 29     
  13. Duckworth L, Black LV, Ezmigna D, Green J, Yao Y, Grannis S, Klann J, Applegate R, Lipori G, Wallace T, Wilkie DJ. Spirometry use in Patients with Sickle Cell Disease with and without asthma and acute chest syndrome: A Multicenter Study. EJHaem. 2020 Jul; 1(1):239-242. PMID: 32924025.
  14. Rossetti SC, Knaplund C, Albers D, Tariq A, Tang K, Vawdrey D, Yip NH, Dykes PC, Klann JG, Kang MJ, Garcia J, Fu LH, Schnock K, Cato K. Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case. AMIA Annu Symp Proc. 2019; 2019:323-332. PMID: 32308825.
    Citations: 6     Fields:    Translation:Humans
  15. Barak-Corren Y, Castro VM, Nock MK, Mandl KD, Madsen EM, Seiger A, Adams WG, Applegate RJ, Bernstam EV, Klann JG, McCarthy EP, Murphy SN, Natter M, Ostasiewski B, Patibandla N, Rosenthal GE, Silva GS, Wei K, Weber GM, Weiler SR, Reis BY, Smoller JW. Validation of an Electronic Health Record-Based Suicide Risk Prediction Modeling Approach Across Multiple Health Care Systems. JAMA Netw Open. 2020 03 02; 3(3):e201262. PMID: 32211868.
    Citations: 6     Fields:    Translation:Humans
  16. Estiri H, Klann JG, Murphy SN. A clustering approach for detecting implausible observation values in electronic health records data. BMC Med Inform Decis Mak. 2019 07 23; 19(1):142. PMID: 31337390.
    Citations: 3     Fields:    Translation:Humans
  17. Hripcsak G, Shang N, Peissig PL, Rasmussen LV, Liu C, Benoit B, Carroll RJ, Carrell DS, Denny JC, Dikilitas O, Gainer VS, Howell KM, Klann JG, Kullo IJ, Lingren T, Mentch FD, Murphy SN, Natarajan K, Pacheco JA, Wei WQ, Wiley K, Weng C. Facilitating phenotype transfer using a common data model. J Biomed Inform. 2019 08; 96:103253. PMID: 31325501.
    Citations: 18     Fields:    Translation:Humans
  18. Estiri H, Klann JG, Weiler SR, Alema-Mensah E, Joseph Applegate R, Lozinski G, Patibandla N, Wei K, Adams WG, Natter MD, Ofili EO, Ostasiewski B, Quarshie A, Rosenthal GE, Bernstam EV, Mandl KD, Murphy SN. A federated EHR network data completeness tracking system. J Am Med Inform Assoc. 2019 07 01; 26(7):637-645. PMID: 30925587.
    Citations: 1     Fields:    Translation:Humans
  19. Klann JG, Joss MAH, Embree K, Murphy SN. Data model harmonization for the All Of Us Research Program: Transforming i2b2 data into the OMOP common data model. PLoS One. 2019; 14(2):e0212463. PMID: 30779778.
    Citations: 11     Fields:    Translation:Humans
  20. Klann JG, Phillips LC, Herrick C, Joss MAH, Wagholikar KB, Murphy SN. Web services for data warehouses: OMOP and PCORnet on i2b2. J Am Med Inform Assoc. 2018 10 01; 25(10):1331-1338. PMID: 30085008.
    Citations: 4     Fields:    Translation:Humans
  21. Klann JG, Joss M, Shirali R, Natter M, Schneeweiss S, Mandl KD, Murphy SN. The Ad-Hoc Uncertainty Principle of Patient Privacy. AMIA Jt Summits Transl Sci Proc. 2018; 2017:132-138. PMID: 29888058.
    Citations: 2     
  22. Raisaro JL, Klann JG, Wagholikar KB, Estiri H, Hubaux JP, Murphy SN. Feasibility of Homomorphic Encryption for Sharing I2B2 Aggregate-Level Data in the Cloud. AMIA Jt Summits Transl Sci Proc. 2018; 2017:176-185. PMID: 29888067.
    Citations: 2     
  23. Estiri H, Stephens KA, Klann JG, Murphy SN. Exploring completeness in clinical data research networks with DQe-c. J Am Med Inform Assoc. 2018 01 01; 25(1):17-24. PMID: 29069394.
    Citations: 5     Fields:    Translation:Humans
  24. Culbertson A, Goel S, Madden MB, Safaeinili N, Jackson KL, Carton T, Waitman R, Liu M, Krishnamurthy A, Hall L, Cappella N, Visweswaran S, Becich MJ, Applegate R, Bernstam E, Rothman R, Matheny M, Lipori G, Bian J, Hogan W, Bell D, Martin A, Grannis S, Klann J, Sutphen R, O'Hara AB, Kho A. The Building Blocks of Interoperability. A Multisite Analysis of Patient Demographic Attributes Available for Matching. Appl Clin Inform. 2017 04 05; 8(2):322-336. PMID: 28378025.
    Citations: 4     Fields:    Translation:Humans
  25. Klann JG, Abend A, Raghavan VA, Mandl KD, Murphy SN. Data interchange using i2b2. J Am Med Inform Assoc. 2016 09; 23(5):909-15. PMID: 26911824.
    Citations: 23     Fields:    Translation:Humans
  26. Klann JG, Phillips LC, Turchin A, Weiler S, Mandl KD, Murphy SN. A numerical similarity approach for using retired Current Procedural Terminology (CPT) codes for electronic phenotyping in the Scalable Collaborative Infrastructure for a Learning Health System (SCILHS). BMC Med Inform Decis Mak. 2015 Dec 11; 15:104. PMID: 26655696.
    Citations:    Fields:    Translation:Humans
  27. Klann JG, Pfiffner PB, Natter MD, Conner E, Blazejewski P, Murphy SN, Mandl KD. Supporting Multi-sourced Medication Information in i2b2. AMIA Annu Symp Proc. 2015; 2015:747-55. PMID: 26958210.
    Citations:    Fields:    Translation:Humans
  28. Klann JG, Mendis M, Phillips LC, Goodson AP, Rocha BH, Goldberg HS, Wattanasin N, Murphy SN. Taking advantage of continuity of care documents to populate a research repository. J Am Med Inform Assoc. 2015 Mar; 22(2):370-9. PMID: 25352566.
    Citations: 11     Fields:    Translation:Humans
  29. Mandl KD, Kohane IS, McFadden D, Weber GM, Natter M, Mandel J, Schneeweiss S, Weiler S, Klann JG, Bickel J, Adams WG, Ge Y, Zhou X, Perkins J, Marsolo K, Bernstam E, Showalter J, Quarshie A, Ofili E, Hripcsak G, Murphy SN. Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): architecture. J Am Med Inform Assoc. 2014 Jul-Aug; 21(4):615-20. PMID: 24821734.
    Citations: 34     Fields:    Translation:Humans
  30. Klann JG, Buck MD, Brown J, Hadley M, Elmore R, Weber GM, Murphy SN. Query Health: standards-based, cross-platform population health surveillance. J Am Med Inform Assoc. 2014 Jul-Aug; 21(4):650-6. PMID: 24699371.
    Citations: 22     Fields:    Translation:HumansPHPublic Health
  31. Klann JG, Szolovits P, Downs SM, Schadow G. Decision support from local data: creating adaptive order menus from past clinician behavior. J Biomed Inform. 2014 Apr; 48:84-93. PMID: 24355978.
    Citations: 15     Fields:    Translation:Humans
  32. Klann JG, Anand V, Downs SM. Patient-tailored prioritization for a pediatric care decision support system through machine learning. J Am Med Inform Assoc. 2013 Dec; 20(e2):e267-74. PMID: 23886921.
    Citations: 6     Fields:    Translation:Humans
  33. Klann JG, McCoy AB, Wright A, Wattanasin N, Sittig DF, Murphy SN. Health care transformation through collaboration on open-source informatics projects: integrating a medical applications platform, research data repository, and patient summarization. Interact J Med Res. 2013 May 30; 2(1):e11. PMID: 23722634.
    Citations: 10     
  34. Klann JG, Murphy SN. Computing health quality measures using Informatics for Integrating Biology and the Bedside. J Med Internet Res. 2013 Apr 19; 15(4):e75. PMID: 23603227.
    Citations: 14     Fields:    Translation:Humans
  35. Klann JG, Murphy SN. Supporting the Health Quality Measures Format in i2b2. AMIA Jt Summits Transl Sci Proc. 2013; 2013:124. PMID: 24303250.
  36. Klann J, Schadow G, Downs SM. A method to compute treatment suggestions from local order entry data. AMIA Annu Symp Proc. 2010 Nov 13; 2010:387-91. PMID: 21347006.
    Citations: 11     Fields:    Translation:Humans
  37. Klann J, Schadow G. Proceedings of the 1st ACM International Health Informatics Symposium. Modeling the information-value decay of medical problems for problem list maintainance. 2010; 2010:371-375. View Publication.
  38. Klann J, Schadow G, McCoy JM. A recommendation algorithm for automating corollary order generation. AMIA Annu Symp Proc. 2009 Nov 14; 2009:333-7. PMID: 20351875.
    Citations: 18     Fields:    
  39. Klann JG, Szolovits P. An intelligent listening framework for capturing encounter notes from a doctor-patient dialog. BMC Med Inform Decis Mak. 2009 Nov 03; 9 Suppl 1:S3. PMID: 19891797.
    Citations: 6     Fields:    Translation:Humans
  40. Klann J, McCoy JM. Patient record 2.0: using structured clinical documents to provide ranked, relevant display of patient records. AMIA Annu Symp Proc. 2008 Nov 06; 1012. PMID: 18999098.
    Citations:    Fields:    
Local representatives can answer questions about the Profiles website or help with editing a profile or issues with profile data. For assistance with this profile: HMS/HSDM faculty should contact contactcatalyst.harvard.edu. For faculty or fellow appointment updates and changes, please ask your appointing department to contact HMS. For fellow personal and demographic information, contact HMS Human Resources at human_resourceshms.harvard.edu. For faculty personal and demographic information, contact HMS Office for Faculty Affairs at facappthms.harvard.edu.
Klann's Networks
Click the
buttons for more information and interactive visualizations!
Concepts (122)
Co-Authors (41)
Similar People (60)
Same Department 
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.