Dorsch, Michael | Digital Healthcare Research

A computable algorithm for medication optimization in heart failure with reduced ejection fraction.

Citation

Dorsch, M, Sifuentes, A, Cordwin, D. et al. A computable algorithm for medication optimization in heart failure with reduced ejection fraction. JACC Adv. 2023 May, 2 (3). https://doi.org/10.1016/j.jacadv.2023.100289

Principal Investigator

Dorsch, Michael

Project Name

The Impact of an Adaptive Patient-Centered Web Application on Medication Optimization in HFrEF Patients

Description

This research will apply Substitutable Medical Applications, Reusable Technologies (SMART)-on-Fast Healthcare Interoperability Resources (FHIR) standards to a current patient-centered web-based application (app) for heart failure medication optimization and evaluate its effectiveness in guideline-directed medication prescribing for heart failure.

Grant Number

R18 HS028787

Principal Investigator(s)

Dorsch, Michael

A User-Centered Designed Anticoagulation Shared Decision-Making Tool for Stroke Prevention in Atrial Fibrillation - Final Report

Citation

Dorsch M. A User-Centered Designed Anticoagulation Shared Decision-Making Tool for Stroke Prevention in Atrial Fibrillation - Final Report. (Prepared by the University of Michigan at Ann Arbor under Grant No. R21 HS026322). Rockville, MD: Agency for Healthcare Research and Quality, 2021.

Principal Investigator

Dorsch, Michael

Project Name

A User-Centered Designed Anticoagulation Shared Decision Making Tool for Stroke Prevention in Atrial Fibrillation

Description

This research created and evaluated a decision support tool for shared decision making around oral anticoagulation in atrial fibrillation and found that it increased patient’s confidence about their use of medications for anticoagulation.

Grant Number

R21 HS026322

Principal Investigator(s)

Dorsch, Michael

A Geofencing-Based Adaptive Messaging System to Support Patient Self-Management of a Low-Sodium Diet in Hypertension - Final Report

Citation

Dorsch M. A Geofencing-Based Adaptive Messaging System to Support Patient Self-Management of a Low-Sodium Diet in Hypertension - Final Report. (Prepared by the University of Michigan under Grant No. R21 HS024567). Rockville, MD: Agency for Healthcare Research and Quality, 2019.

Principal Investigator

Dorsch, Michael

Project Name

A Geofencing-Based Adaptive Messaging System to Support Patient Self-Management of a Low-Sodium Diet in Hypertension

A novel just-in-time contextual mobile app intervention to reduce sodium intake in hypertension: protocol and rationale for a randomized controlled trial (LowSalt4Life trial).

Citation

Dorsch MP, An LC, Hummel SL. A novel just-in-time contextual mobile app intervention to reduce sodium intake in hypertension: protocol and rationale for a randomized controlled trial (LowSalt4Life trial). JMIR Res Protoc. 2018 Dec 7;7(12):e11282. PMID: 30530462.

Principal Investigator

Dorsch, Michael

Project Name

A Geofencing-Based Adaptive Messaging System to Support Patient Self-Management of a Low-Sodium Diet in Hypertension

Description

This research developed and evaluated mobile application messages that assisted individuals with hypertension to adhere to a low-sodium diet.

Grant Number

R21 HS024567

Principal Investigator(s)

Dorsch, Michael