2023

Constraints and Workarounds to Support Clinical Consultations in Synchronous Text-Based Platforms

Brenna Li, Tetyana Skoropad, Puneet Seth, Mohit Jain, Khai N. Truong, Alex Mariakakis
ACM Conference on Human Factors in Computing Systems (CHI), 2023

Constraints and Workarounds to Support Clinical Consultations in Synchronous Text-Based Platforms

Brenna Li, Tetyana Skoropad, Puneet Seth, Mohit Jain, Khai Truong, and Alex Mariakakis. 2023. Constraints and Workarounds to Support Clinical Consultations in Synchronous Text-based Platforms. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 342, 1–17. https://doi.org/10.1145/3544548.3581014

Constraints and Workarounds to Support Clinical Consultations in Synchronous Text-Based Platforms

@inproceedings{10.1145/3544548.3581014,
author = {Li, Brenna and Skoropad, Tetyana and Seth, Puneet and Jain, Mohit and Truong, Khai and Mariakakis, Alex},
title = {Constraints and Workarounds to Support Clinical Consultations in Synchronous Text-Based Platforms},
year = {2023},
isbn = {9781450394215},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3544548.3581014},
doi = {10.1145/3544548.3581014},
abstract = {Medical consultations over synchronous text-based platforms are becoming increasingly popular for virtual care, yet little is known about how physicians translate their training to this healthcare medium. We report the constraints, workarounds, and opportunities highlighted by eight primary care physicians who used such a platform in simulated medical scenarios with standardized patients. We found that due to the perceived inefficiency of communicating over text, the physicians made subconscious use of double-barreled questions and action multiplexing to streamline the conversation. In addition, the physicians overcame the lack of missing verbal and visual cues by adding explicit messages to convey empathy and active listening. We also identify several affordances of text-based platforms, such as the ability for users to reference the conversation history and for patients to feel a sense of privacy during sensitive disclosure. From these findings, we propose design opportunities for how future synchronous text-based platforms can better support medical consultations.},
booktitle = {Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems},
articleno = {342},
numpages = {17},
keywords = {synchronous text, active listening, non-verbal cues, virtual care, clinical consultation},
location = {Hamburg, Germany},
series = {CHI '23}
}

2022

Trends in Oxygen Level During Acute COVID-19 Infection in Patients Quarantining at Home

Andrea Gershon, Nisha Patel, Robert Wu, Salaar Liaqat, Daniyal Liaqat, Eyal de Lara, Alex Mariakakis, Andrew Simor, Philip Lam, Sameer Masood, Nisha Andany, Nick Daneman, Adrienne Chan, Teresa To, Tiago Falk
American Thoracic Society (ATS), 2022

Trends in Oxygen Level During Acute COVID-19 Infection in Patients Quarantining at Home

Gershon AS, Patel N, Wu R, Liaqat S, Liaqat D, de Lara E, Mariakakis A, Simor A, Lam P, Masood S, Andany N. Trends in Oxygen Level During Acute COVID-19 Infection in Patients Quarantining at Home. InB57. CUTTING EDGE COVID RESEARCH 2022 May (pp. A3169-A3169). American Thoracic Society.

Trends in Oxygen Level During Acute COVID-19 Infection in Patients Quarantining at Home

@incollection{gershon2022trends,
    title={Trends in Oxygen Level During Acute COVID-19 Infection in Patients Quarantining at Home},
    author={Gershon, AS and Patel, N and Wu, R and Liaqat, S and Liaqat, D and de Lara, E and Mariakakis, A and Simor, A and Lam, P and Masood, S and others},
    booktitle={B57. CUTTING EDGE COVID RESEARCH},
    pages={A3169--A3169},
    year={2022},
    publisher={American Thoracic Society}
}

Predicting Low Oxygen Saturation of COVID-19 Patients Using a Random Forest Classifier

Salaar Liaqat, Tiago Falk, Teresa To, Nisha Andany, Nisha Patel, Robert Wu, Andrea Gershon, Alex Mariakakis, Eyal de Lara, Daniyal Liaqat
American Thoracic Society (ATS), 2022

Predicting Low Oxygen Saturation of COVID-19 Patients Using a Random Forest Classifier

Liaqat S, Falk T, To T, Andany N, Patel N, Wu R, Gershon AS, Mariakakis A, de Lara E, Liaqat D. Predicting Low Oxygen Saturation of COVID-19 Patients Using a Random Forest Classifier. InB57. CUTTING EDGE COVID RESEARCH 2022 May (pp. A3159-A3159). American Thoracic Society.

Predicting Low Oxygen Saturation of COVID-19 Patients Using a Random Forest Classifier

@incollection{liaqat2022predicting,
    title={Predicting Low Oxygen Saturation of COVID-19 Patients Using a Random Forest Classifier},
    author={Liaqat, S and Falk, T and To, T and Andany, N and Patel, N and Wu, R and Gershon, AS and Mariakakis, A and de Lara, E and Liaqat, D},
    booktitle={B57. CUTTING EDGE COVID RESEARCH},
    pages={A3159--A3159},
    year={2022},
    publisher={American Thoracic Society}
}

Sleep Sound Classification Using ANC-Enabled Earbuds

Ken Christofferson, Xuyang Chen, Zeyu Chang, Alex Mariakakis, Yuntao Wang
HCCS Workshop, IEEE Conference on Pervasive Computing and Communications (PerCom), 2022

Sleep Sound Classification Using ANC-Enabled Earbuds

Christofferson K, Chen X, Wang Z, Mariakakis A, Wang Y. Sleep Sound Classification Using ANC-Enabled Earbuds. In 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) 2022 Mar 21 (pp. 397-402). IEEE.

Sleep Sound Classification Using ANC-Enabled Earbuds

@inproceedings{christofferson2022sleep,
  title={Sleep Sound Classification Using ANC-Enabled Earbuds},
  author={Christofferson, Kenneth and Chen, Xuyang and Wang, Zeyu and Mariakakis, Alex and Wang, Yuntao},
  booktitle={2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)},
  pages={397--402},
  year={2022},
  organization={IEEE}
}

Machine Learning to Automate the Visual Interpretation of Chemical Agglutination Tests

Sidharth Gupta, Alexandros Sklavounos, Joshua Dahmer, Anthony Yong, Mohammed Abdullah, Gilberto Camacho, Keith Morton, Matthew Shiu, Jean Labrecque, Teodor Veres, Aaron Wheeler, Alex Mariakakis
ARDUOUS Workshop, IEEE Conference on Pervasive Computing and Communications (PerCom), 2022

Machine Learning to Automate the Visual Interpretation of Chemical Agglutination Tests

Gupta S, Sklavounos AA, Dahmer J, Yong AK, Abdullah MA, Camacho G, Morton K, Shiu M, Labrecque J, Veres T, Wheeler AR. Machine Learning to Automate the Visual Interpretation of Chemical Agglutination Tests. In 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) 2022 Mar 21 (pp. 230-235). IEEE.

Machine Learning to Automate the Visual Interpretation of Chemical Agglutination Tests

@inproceedings{gupta2022machine,
title={Machine Learning to Automate the Visual Interpretation of Chemical Agglutination Tests},
author={Gupta, Sidharth and Sklavounos, Alexandros A and Dahmer, Joshua and Yong, Anthony KC and Abdullah, Mohammed AA and Camacho, Gilberto and Morton, Keith and Shiu, Matthew and Labrecque, Jean and Veres, Teodor and others},
booktitle={2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)},
pages={230--235},
year={2022},
organization={IEEE}
}

2021

Digital Microfluidic Hemagglutination Assays for Blood Typing, Donor Compatibility Testing, and Hematocrit Analysis

Alexandros Sklavounos, Julian Lamanna, Dimpy Modi, Sidharth Gupta, Alex Mariakakis, Jeannie Callum, Aaron Wheeler
Clinical Chemistry, 2021

Digital Microfluidic Hemagglutination Assays for Blood Typing, Donor Compatibility Testing, and Hematocrit Analysis

Sklavounos, A.A., Lamanna, J., Modi, D., Gupta, S., Mariakakis, A., Callum, J. and Wheeler, A.R., 2021. Digital Microfluidic Hemagglutination Assays for Blood Typing, Donor Compatibility Testing, and Hematocrit Analysis. Clinical chemistry, 67(12), pp.1699-1708.

Digital Microfluidic Hemagglutination Assays for Blood Typing, Donor Compatibility Testing, and Hematocrit Analysis

@inproceedings{christofferson2022sleep,
  title={Sleep Sound Classification Using ANC-Enabled Earbuds},
  author={Christofferson, Kenneth and Chen, Xuyang and Wang, Zeyu and Mariakakis, Alex and Wang, Yuntao},
  booktitle={2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)},
  pages={397--402},
  year={2022},
  organization={IEEE}
}